Log in

Relevant bibliographies by topics / Objective computational identifier / Journal articles

To see the other types of publications on this topic, follow the link: Objective computational identifier.

Journal articles on the topic 'Objective computational identifier'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Objective computational identifier.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Rodríguez-Cerdeira, Carmen, José Luís González-Cespón, and Roberto Arenas. "Current Status of Computational Intelligence Applications in Dermatological Clinical Practice." Open Dermatology Journal 14, no. 1 (2020): 6–13. http://dx.doi.org/10.2174/1874372202014010006.

Full text

Abstract:

Background: The yeast infections are increasingly frequent and the correct diagnosis consists of the identification of the yeast fungus, which in our case we are going to refer to the different species of Candida. The prescription of a broad-spectrum antifungal without taking into account the etiological agent, leads to an increase in the resistance to these treatments. Objective: The objective of this work is to differentiate Candida albicans from other Candida species (Candida spp.) By means of digital images obtained from the optical microscope. Material and Methods: It has reviewed about 1

APA, Harvard, Vancouver, ISO, and other styles

2

Sikander, Rahu, Mujeebu Rehman, Tarique Ali Brohi, Arif Ahmed, Ali Ghulam, and Sultan Ahmed. "An Explainable Identifier of iGHBPs Peptides Based on Deep PSSM Features and Learning Approaches." Insights-Journal of Health and Rehabilitation 2, no. 2 (Health & Allied) (2024): 571–79. https://doi.org/10.71000/7dqqxs92.

Full text

Abstract:

Growth hormone can be effectively and non-covalently communicated with by a growth hormone binding protein (GHBP), also referred to as a soluble carrier protein. Accurately recognizing the GHBP from a certain protein sequence is crucial for comprehending biological processes and cell growth. In the postgenomic era, a lot of protein sequence data has been gathered, which makes it even more urgent to build an integrated computational method that can quickly and precisely identify possible GHBPs from a huge number of candidate proteins. In this work, we provide iGHBP, a growth hormone binding pro

APA, Harvard, Vancouver, ISO, and other styles

3

Mozaffari, Ahmad, Nasser L. Azad, and Alireza Fathi. "Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming." International Journal of Intelligent Computing and Cybernetics 8, no. 1 (2015): 2–27. http://dx.doi.org/10.1108/ijicc-07-2014-0034.

Full text

Abstract:

Purpose – The purpose of this paper is to probe the potentials of computational intelligence (CI) and bio-inspired computational tools for designing a hybrid framework which can simultaneously design an identifier to capture the underlying knowledge regarding a given plug-in hybrid electric vehicle’s (PHEVs) fuel cost and optimize its fuel consumption rate. Besides, the current investigation aims at elaborating the effectiveness of Pareto-based multiobjective programming for coping with the difficulties associated with such a tedious automotive engineering problem. Design/methodology/approach

APA, Harvard, Vancouver, ISO, and other styles

4

Wang, Tonghe, Songpu Ai, Junwei Cao, and Yuming Zhao. "A Blockchain-Based Distributed Computational Resource Trading Strategy for Internet of Things Considering Multiple Preferences." Symmetry 15, no. 4 (2023): 808. http://dx.doi.org/10.3390/sym15040808.

Full text

Abstract:

The architecture of cloud–edge collaboration can improve the efficiency of Internet of Things (IoT) systems. Recent studies have pointed out that using IoT terminal devices as destinations for computing offloading can promote further optimized allocation of computational resources. However, in practice, this idea encounters the problem that participants might lack the motivation to take over computational tasks from others. Although the edge and the terminal are provided with symmetrical positions in collaborative offloading, their computational resources and capabilities are asymmetric. To mi

APA, Harvard, Vancouver, ISO, and other styles

5

Musa, I. S., and H. S. Haruna. "EVALUATION OF PROPHAGES AND ANTI MICROBIAL RESISTANCE PROFILE OF BACILLUS SUBTILIS USING IN SILICO APPROACH." FUDMA JOURNAL OF SCIENCES 8, no. 2 (2024): 247–49. http://dx.doi.org/10.33003/fjs-2024-0802-2349.

Full text

Abstract:

The main objective of this study was to identify the prophages and antimicrobial resistance profile of Bacillus subtilis using computational methods. Prophages are potential therapeutic antimicrobial agents against antibiotic- resistant pathogens. The potential of prophage to induce antimicrobial resistance and increase pathogenicity in bacterial genomes resulted in renewed interest in the identification of prophage sequences and their associated antimicrobial resistant genes in bacterial genomes. Sequences of Bacillus subtilis retrieved from the sequence raw archive (SRA) of the National Cent

APA, Harvard, Vancouver, ISO, and other styles

6

Berman, Jules J. "Zero-Check: A Zero-Knowledge Protocol for Reconciling Patient Identities Across Institutions." Archives of Pathology & Laboratory Medicine 128, no. 3 (2004): 344–46. http://dx.doi.org/10.5858/2004-128-344-zazpfr.

Full text

Abstract:

Abstract Context.—Large, multi-institutional studies often involve merging data records that have been de-identified to protect patient privacy. Unless patient identities can be reconciled across institutions, individuals with records held in different institutions will be falsely “counted” as multiple persons when databases are merged. Objective.—The purpose of this article is to describe a protocol that can reconcile individuals with records in multiple institutions. Design.—Institution A and Institution B each create a random character string and send it to the other institution. Each insti

APA, Harvard, Vancouver, ISO, and other styles

7

Patel, Dhavalkumar, Prem Timsina, Larisa Gorenstein, et al. "Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management." JMIR AI 3 (August 27, 2024): e52190. http://dx.doi.org/10.2196/52190.

Full text

Abstract:

Background Predicting hospitalization from nurse triage notes has the potential to augment care. However, there needs to be careful considerations for which models to choose for this goal. Specifically, health systems will have varying degrees of computational infrastructure available and budget constraints. Objective To this end, we compared the performance of the deep learning, Bidirectional Encoder Representations from Transformers (BERT)–based model, Bio-Clinical-BERT, with a bag-of-words (BOW) logistic regression (LR) model incorporating term frequency–inverse document frequency (TF-IDF).

APA, Harvard, Vancouver, ISO, and other styles

8

Kim, Hee, Thomas Ganslandt, Thomas Miethke, Michael Neumaier, and Maximilian Kittel. "Deep Learning Frameworks for Rapid Gram Stain Image Data Interpretation: Protocol for a Retrospective Data Analysis." JMIR Research Protocols 9, no. 7 (2020): e16843. http://dx.doi.org/10.2196/16843.

Full text

Abstract:

Background In recent years, remarkable progress has been made in deep learning technology and successful use cases have been introduced in the medical domain. However, not many studies have considered high-performance computing to fully appreciate the capability of deep learning technology. Objective This paper aims to design a solution to accelerate an automated Gram stain image interpretation by means of a deep learning framework without additional hardware resources. Methods We will apply and evaluate 3 methodologies, namely fine-tuning, an integer arithmetic–only framework, and hyperparame

APA, Harvard, Vancouver, ISO, and other styles

9

Kaido, Hiroaki, Francesca Molinari, and Jörg Stoye. "Confidence Intervals for Projections of Partially Identified Parameters." Econometrica 87, no. 4 (2019): 1397–432. http://dx.doi.org/10.3982/ecta14075.

Full text

Abstract:

We propose a bootstrap‐based calibrated projection procedure to build confidence intervals for single components and for smooth functions of a partially identified parameter vector in moment (in)equality models. The method controls asymptotic coverage uniformly over a large class of data generating processes. The extreme points of the calibrated projection confidence interval are obtained by extremizing the value of the function of interest subject to a proper relaxation of studentized sample analogs of the moment (in)equality conditions. The degree of relaxation, or critical level, is calibra

APA, Harvard, Vancouver, ISO, and other styles

10

Luo, Gang, Bryan L. Stone, Xiaoming Sheng, Shan He, Corinna Koebnick, and Flory L. Nkoy. "Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis." JMIR Research Protocols 10, no. 5 (2021): e27065. http://dx.doi.org/10.2196/27065.

Full text

Abstract:

Background Asthma and chronic obstructive pulmonary disease (COPD) impose a heavy burden on health care. Approximately one-fourth of patients with asthma and patients with COPD are prone to exacerbations, which can be greatly reduced by preventive care via integrated disease management that has a limited service capacity. To do this well, a predictive model for proneness to exacerbation is required, but no such model exists. It would be suboptimal to build such models using the current model building approach for asthma and COPD, which has 2 gaps due to rarely factoring in temporal features sh

APA, Harvard, Vancouver, ISO, and other styles

11

Bey, Romain, Romain Goussault, François Grolleau, Mehdi Benchoufi, and Raphaël Porcher. "Fold-stratified cross-validation for unbiased and privacy-preserving federated learning." Journal of the American Medical Informatics Association 27, no. 8 (2020): 1244–51. http://dx.doi.org/10.1093/jamia/ocaa096.

Full text

Abstract:

Abstract Objective We introduce fold-stratified cross-validation, a validation methodology that is compatible with privacy-preserving federated learning and that prevents data leakage caused by duplicates of electronic health records (EHRs). Materials and Methods Fold-stratified cross-validation complements cross-validation with an initial stratification of EHRs in folds containing patients with similar characteristics, thus ensuring that duplicates of a record are jointly present either in training or in validation folds. Monte Carlo simulations are performed to investigate the properties of

APA, Harvard, Vancouver, ISO, and other styles

12

Mohamed, Habiba, Eyhab Al-Masri, Olivera Kotevska, and Alireza Souri. "A Multi-Objective Approach for Optimizing Edge-Based Resource Allocation Using TOPSIS." Electronics 11, no. 18 (2022): 2888. http://dx.doi.org/10.3390/electronics11182888.

Full text

Abstract:

Existing approaches for allocating resources on edge environments are inefficient and lack the support of heterogeneous edge devices, which in turn fail to optimize the dependency on cloud infrastructures or datacenters. To this extent, we propose in this paper OpERA, a multi-layered edge-based resource allocation optimization framework that supports heterogeneous and seamless execution of offloadable tasks across edge, fog, and cloud computing layers and architectures. By capturing offloadable task requirements, OpERA is capable of identifying suitable resources within nearby edge or fog laye

APA, Harvard, Vancouver, ISO, and other styles

13

Chandhiruthil Sathyan, Anjana, Pramod Yadav, Prashant Gupta, Arun Kumar Mahapathra, and Ruknuddin Galib. "In Silico Approaches to Polyherbal Synergy: Protocol for a Scoping Review." JMIR Research Protocols 13 (June 10, 2024): e56646. http://dx.doi.org/10.2196/56646.

Full text

Abstract:

Background According to the World Health Organization, more than 80% of the world’s population relies on traditional medicine. Traditional medicine is typically based on the use of single herbal drugs or polyherbal formulations (PHFs) to manage diseases. However, the probable mode of action of these formulations is not well studied or documented. Over the past few decades, computational methods have been used to study the molecular mechanism of phytochemicals in single herbal drugs. However, the in silico methods applied to study PHFs remain unclear. Objective The aim of this protocol is to de

APA, Harvard, Vancouver, ISO, and other styles

14

Surin, V. I., M. V. Ivanyi, A. A. Shcherbakov, et al. "Gradient method of structural heterogeneity identification in electrical inspection of equipment, products and materials." Global Nuclear Safety 14, no. 4 (2024): 34–41. https://doi.org/10.26583/gns-2024-04-04.

Full text

Abstract:

A gradient method of structural inhomogeneities identification in the objects of industrial equipment and products control based on the analysis of electric potential distribution inside a single reflex is developed. The computational and graphic method is applied to analyze the results of electrical control of NPP equipment during its manufacture. The research objective under consideration is to determine the degree of reproducibility of electrical inspection results and to develop for this purpose a universal digital identifier of structural inhomogeneities. Single reflexes are characterized

APA, Harvard, Vancouver, ISO, and other styles

15

Martínez-Miranda, Juan, Martha Janet Meza Magallanes, Cándido Silva-Peña, Martha Xitlali Mercado Rivas, María del Rocío Figueroa-Varela, and Magda Lidiana Sánchez Aranda. "A Computational Platform to Support the Detection, Follow-up, and Epidemiological Surveillance of Mental Health and Substance Use Disorders: Protocol for a Development and Evaluation Study." JMIR Research Protocols 12 (April 25, 2023): e44607. http://dx.doi.org/10.2196/44607.

Full text

Abstract:

Background According to the World Health Organization, approximately 15% of the global population is affected by mental health or substance use disorders. These conditions contribute significantly to the global disease burden, which has worsened because of the direct and indirect effects of COVID-19. In Mexico, a quarter of the population between the ages of 18 and 65 years who reside in urban areas present a mental health condition. The presence of a mental or substance abuse disorder is behind a significant percentage of suicidal behaviors in Mexico, where only 1 in 5 of those who have these

APA, Harvard, Vancouver, ISO, and other styles

16

Mansourihanis, Omid, Mohammad Javad Maghsoodi Tilaki, Samira Yousefian, and Ayda Zaroujtaghi. "A Computational Geospatial Approach to Assessing Land-Use Compatibility in Urban Planning." Land 12, no. 11 (2023): 2083. http://dx.doi.org/10.3390/land12112083.

Full text

Abstract:

Amidst rapid urbanization, sustainable development requires moving beyond subjective land-use planning techniques toward innovative computational geospatial models. This paper introduces a GIS-based quantitative framework to enable objective, rigorous land-use compatibility analysis. Uniquely, the model evaluates radial impacts and expert-defined criteria across multiple scales, overcoming the limitations of qualitative approaches. Cell-by-cell computation identifies emerging spatial conflicts with enhanced realism. A case study in Qaemshahr, Iran, demonstrated the model’s proficiency in revea

APA, Harvard, Vancouver, ISO, and other styles

17

Zhao, Tongtiegang, and Jianshi Zhao. "Improved multiple-objective dynamic programming model for reservoir operation optimization." Journal of Hydroinformatics 16, no. 5 (2014): 1142–57. http://dx.doi.org/10.2166/hydro.2014.004.

Full text

Abstract:

Reservoirs are usually designed and operated for multiple purposes, which makes the multiple-objective issue important in reservoir operation. Based on multiple-objective dynamic programming (MODP), this study proposes an improved multiple-objective DP (IMODP) algorithm for reservoir operation optimization, which can be used to solve multiple-objective optimization models regardless whether the curvatures of trade-offs among objectives are concave or not. MODP retains all the Pareto-optimal solutions through backward induction, resulting in the exponential increase of computational burden with

APA, Harvard, Vancouver, ISO, and other styles

18

Dark, Frances, Graham Galloway, Marcus Gray, et al. "Reward Learning as a Potential Mechanism for Improvement in Schizophrenia Spectrum Disorders Following Cognitive Remediation: Protocol for a Clinical, Nonrandomized, Pre-Post Pilot Study." JMIR Research Protocols 13 (January 22, 2024): e52505. http://dx.doi.org/10.2196/52505.

Full text

Abstract:

Background Cognitive impairment is common with schizophrenia spectrum disorders. Cognitive remediation (CR) is effective in improving global cognition, but not all individuals benefit from this type of intervention. A better understanding of the potential mechanism of action of CR is needed. One proposed mechanism is reward learning (RL), the cognitive processes responsible for adapting behavior following positive or negative feedback. It is proposed that the structure of CR enhances RL and motivation to engage in increasingly challenging tasks, and this is a potential mechanism by which CR im

APA, Harvard, Vancouver, ISO, and other styles

19

Oh, HyungSeon. "Distributed optimal power flow." PLOS ONE 16, no. 6 (2021): e0251948. http://dx.doi.org/10.1371/journal.pone.0251948.

Full text

Abstract:

Objective The objectives of this paper are to 1) construct a new network model compatible with distributed computation, 2) construct the full optimal power flow (OPF) in a distributed fashion so that an effective, non-inferior solution can be found, and 3) develop a scalable algorithm that guarantees the convergence to a local minimum. Existing challenges Due to the nonconvexity of the problem, the search for a solution to OPF problems is not scalable, which makes the OPF highly limited for the system operation of large-scale real-world power grids—“the curse of dimensionality”. The recent att

APA, Harvard, Vancouver, ISO, and other styles

20

Gong, Yuqi, Jing Li, Yuk Shan Yuen, et al. "Daily high-frequency transcranial random noise stimulation (hf-tRNS) for sleep disturbances and cognitive dysfunction in patients with mild vascular cognitive impairments: A study protocol for a pilot randomized controlled trial." PLOS ONE 19, no. 10 (2024): e0309233. http://dx.doi.org/10.1371/journal.pone.0309233.

Full text

Abstract:

Background Poor sleep quality is increasingly considered to be an underlying cause of cerebrovascular diseases. This is a slowly progressing condition that gradually leads to vascular cognitive impairment and stroke during ageing. At present, randomized clinical trials examining the non-pharmacological therapies in the management of this comorbidity are very limited. Transcranial current stimulation (tCS) is a non-invasive technology for promoting cognitive function and treating brain disorders. As advanced modalities of tCS, transcranial random noise stimulation (tRNS) and transcranial altern

APA, Harvard, Vancouver, ISO, and other styles

21

Deng, Qianwei, Chee-Onn Wong, Roopesh Sitharan, and Xiangbin Meng. "Design of image intelligent focusing system based on improved SMD function and RBF algorithm." PLOS ONE 19, no. 8 (2024): e0307319. http://dx.doi.org/10.1371/journal.pone.0307319.

Full text

Abstract:

The utilization of digital statistical processes in images and videos can effectively tackle numerous challenges encountered in optical sensors. This research endeavors to overcome the limitations inherent in traditional focus models, particularly their inadequate accuracy. It aims to bolster the precision of real-time perception and dynamic control by employing enhanced data fusion methodologies. The ultimate objective is to facilitate information services that enable seamless interaction and profound integration between computational and physical processes within an open environment. To achi

APA, Harvard, Vancouver, ISO, and other styles

22

Peng, Jianglong, Hao Yin, Ying Zhou, Haoyuan Jia, and Yubao Cui. "Mapping Mimotopes for House Dust Mite Allergen Der f 7 Using a Specific Monoclonal Antibody." Protein & Peptide Letters 26, no. 3 (2019): 184–91. http://dx.doi.org/10.2174/0929866526666181208165138.

Full text

Abstract:

Background: The dust mite Dermatophagoides farinae is a common worldwide cause of indoor allergies induced by its proteins, including the mid-tier allergen Der f 7. </P><P> Objective: To identify conformational epitopes in Der f 7 using mimotope mapping and computational modelling. Methods: Here, we used standard hybridoma technology to generate 3 new monoclonal antibodies against Der f 7 and performed mimotope mapping by probing a random peptide phage display library. Computational tools, including Minox and the DiscoTope-2.0 Server were used to assess the structure and potential

APA, Harvard, Vancouver, ISO, and other styles

23

Guerrero-Gimenez, M. E., J. M. Fernandez-Muñoz, B. J. Lang, et al. "Galgo: a bi-objective evolutionary meta-heuristic identifies robust transcriptomic classifiers associated with patient outcome across multiple cancer types." Bioinformatics 36, no. 20 (2020): 5037–44. http://dx.doi.org/10.1093/bioinformatics/btaa619.

Full text

Abstract:

Abstract Motivation Statistical and machine-learning analyses of tumor transcriptomic profiles offer a powerful resource to gain deeper understanding of tumor subtypes and disease prognosis. Currently, prognostic gene-expression signatures do not exist for all cancer types, and most developed to date have been optimized for individual tumor types. In Galgo, we implement a bi-objective optimization approach that prioritizes gene signature cohesiveness and patient survival in parallel, which provides greater power to identify tumor transcriptomic phenotypes strongly associated with patient survi

APA, Harvard, Vancouver, ISO, and other styles

24

Depolli, Matjaž, Roman Trobec, and Bogdan Filipič. "Asynchronous Master-Slave Parallelization of Differential Evolution for Multi-Objective Optimization." Evolutionary Computation 21, no. 2 (2013): 261–91. http://dx.doi.org/10.1162/evco_a_00076.

Full text

Abstract:

In this paper, we present AMS-DEMO, an asynchronous master-slave implementation of DEMO, an evolutionary algorithm for multi-objective optimization. AMS-DEMO was designed for solving time-intensive problems efficiently on both homogeneous and heterogeneous parallel computer architectures. The algorithm is used as a test case for the asynchronous master-slave parallelization of multi-objective optimization that has not yet been thoroughly investigated. Selection lag is identified as the key property of the parallelization method, which explains how its behavior depends on the type of computer a

APA, Harvard, Vancouver, ISO, and other styles

25

Zamboni, Walter, Giovanni Petrone, Giovanni Spagnuolo, and Davide Beretta. "An Evolutionary Computation Approach for the Online/On-Board Identification of PEM Fuel Cell Impedance Parameters with A Diagnostic Perspective." Energies 12, no. 22 (2019): 4374. http://dx.doi.org/10.3390/en12224374.

Full text

Abstract:

Online/on-board diagnosis would help to improve fuel cell system durability and output power. Therefore, it is a feature the manufacturers may wish to provide for final users to increase the attractiveness of their product. This add-on requires suitable stack models, parametric identification tools and diagnostic algorithms to be run on low-cost embedded systems, ensuring a good trade-off between accuracy and computation time. In this paper, a computational approach for the impedance parameter identification of polymer electrolyte membrane fuel cell stack is proposed. The method is based on an

APA, Harvard, Vancouver, ISO, and other styles

26

Sánchez-Aparicio, José-Emilio, Giuseppe Sciortino, Daniel Viladrich Herrmannsdoerfer, Pablo Orenes Chueca, Jaime Rodríguez-Guerra Pedregal, and Jean-Didier Maréchal. "GPathFinder: Identification of Ligand-Binding Pathways by a Multi-Objective Genetic Algorithm." International Journal of Molecular Sciences 20, no. 13 (2019): 3155. http://dx.doi.org/10.3390/ijms20133155.

Full text

Abstract:

Protein–ligand docking is a widely used method to generate solutions for the binding of a small molecule with its target in a short amount of time. However, these methods provide identification of physically sound protein–ligand complexes without a complete view of the binding process dynamics, which has been recognized to be a major discriminant in binding affinity and ligand selectivity. In this paper, a novel piece of open-source software to approach this problem is presented, called GPathFinder. It is built as an extension of the modular GaudiMM platform and is able to simulate ligand diff

APA, Harvard, Vancouver, ISO, and other styles

27

Park, Dongjoo, Laurence R. Rilett, and Changho Choi. "A class of multicriteria shortest path problems for real-time in-vehicle routing." Canadian Journal of Civil Engineering 34, no. 9 (2007): 1096–109. http://dx.doi.org/10.1139/l07-013.

Full text

Abstract:

In-route guidance systems fastest path routing has typically been adopted because of its simplicity. However, empirical studies on route choice behavior have shown that drivers use numerous criteria in choosing a route. The objective of this paper is to develop computationally efficient algorithms for identifying a manageable subset of the nondominated (i.e., Pareto optimal) paths for real-time in-vehicle routing. The basic notion of the proposed approach is that (i) enumerating all nondominated paths is computationally too expensive, (ii) obtaining a stable mathematical representation of the

APA, Harvard, Vancouver, ISO, and other styles

28

Zapata, Hector O., and Supratik Mukhopadhyay. "A Bibliometric Analysis of Machine Learning Econometrics in Asset Pricing." Journal of Risk and Financial Management 15, no. 11 (2022): 535. http://dx.doi.org/10.3390/jrfm15110535.

Full text

Abstract:

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better suited for, problems of prediction. While some ML methods have been applied in econometrics for decades, their success in prediction has been limited, and examples of this abound in the asset pricing literature. In recent years, the ML literature has advanced new, more efficient, computation methods for

APA, Harvard, Vancouver, ISO, and other styles

29

Sivakumar, Sasidharan, and Gowardhan Sivakumar. "Weightage Identified Network of Keywords Technique: A Structured Approach in Identifying Keywords for Systematic Reviews." Healthcare Informatics Research 31, no. 1 (2025): 48–56. https://doi.org/10.4258/hir.2025.31.1.48.

Full text

Abstract:

Objectives: The objective of this study was to develop the weightage identified network of keywords (WINK) technique for selecting and utilizing keywords to perform systematic reviews more efficiently. This technique aims to improve the thoroughness and precision of evidence synthesis by employing a more rigorous approach to keyword selection. Methods: The WINK methodology involves generating network visualization charts to analyze the interconnections among keywords within a specific domain. This process integrates both computational analysis and subject expert insights to enhance the accurac

APA, Harvard, Vancouver, ISO, and other styles

30

Liskowski, Paweł, and Krzysztof Krawiec. "Online Discovery of Search Objectives for Test-Based Problems." Evolutionary Computation 25, no. 3 (2017): 375–406. http://dx.doi.org/10.1162/evco_a_00179.

Full text

Abstract:

In test-based problems, commonly approached with competitive coevolutionary algorithms, the fitness of a candidate solution is determined by the outcomes of its interactions with multiple tests. Usually, fitness is a scalar aggregate of interaction outcomes, and as such imposes a complete order on the candidate solutions. However, passing different tests may require unrelated “skills,” and candidate solutions may vary with respect to such capabilities. In this study, we provide theoretical evidence that scalar fitness, inherently incapable of capturing such differences, is likely to lead to pr

APA, Harvard, Vancouver, ISO, and other styles

31

van Essen, G. M. M., P. M. J. M. J. Van den Hof, and J. D. D. Jansen. "Hierarchical Long-Term and Short-Term Production Optimization." SPE Journal 16, no. 01 (2010): 191–99. http://dx.doi.org/10.2118/124332-pa.

Full text

Abstract:

Summary Model-based dynamic optimization of oil production has a significant potential to improve economic life-cycle performance, as has been shown in various studies. However, within these studies, short-term operational objectives are generally neglected. As a result, the optimized injection and production rates often result in a considerable decrease in short-term production performance. In reality, however, it is often these short-term objectives that dictate the course of the operational strategy. Incorporating short-term goals into the life-cycle optimization problem, therefore, is an e

APA, Harvard, Vancouver, ISO, and other styles

32

Kapil, Jain, and Kumar Chourasia Basant. "Modeling and Optimization of Vapor Absorption Refrigeration Systems: A Computational Intelligence Overview." Modeling and Optimization of Vapor Absorption Refrigeration Systems: A Computational Intelligence Overview 9, no. 1 (2024): 14. https://doi.org/10.5281/zenodo.10617653.

Full text

Abstract:

This literature review delves into the utilization of computational intelligence techniques, such as Simulated Annealing (SA), Differential Evolution (DE), Heat Transfer Search (HTS), Chemical Reaction Optimization (CRO), Multi-Objective GA (MOGA), and Nondominated Sorting Genetic Algorithm II (NSGA II), for modeling and optimizing vapor absorption refrigeration systems. The inherent complexity of modern refrigeration systems, characterized by their multi-modal, non-linear, and time-consuming optimization problems, necessitates the application of advanced computational tools. These techniques

APA, Harvard, Vancouver, ISO, and other styles

33

Deb, Kalyanmoy, and Matthias Ehrgott. "On Generalized Dominance Structures for Multi-Objective Optimization." Mathematical and Computational Applications 28, no. 5 (2023): 100. http://dx.doi.org/10.3390/mca28050100.

Full text

Abstract:

Various dominance structures have been proposed in the multi-objective optimization literature. However, a systematic procedure to understand their effect in determining the resulting optimal set for generic domination principles, besides the standard Pareto-dominance principle, is lacking. In this paper, we analyze and lay out properties of generalized dominance structures which help provide insights for resulting optimal solutions. We introduce the concept of the anti-dominance structure, derived from the chosen dominance structure, to explain how the resulting non-dominated or optimal set c

APA, Harvard, Vancouver, ISO, and other styles

34

Rusakovica, J., J. Hallinan, A. Wipat, and P. Zuliani. "Probabilistic Latent Semantic Analysis Applied to Whole Bacterial Genomes Identifies Common Genomic Features." Journal of Integrative Bioinformatics 11, no. 2 (2014): 93–105. http://dx.doi.org/10.1515/jib-2014-243.

Full text

Abstract:

Summary The spread of drug resistance amongst clinically-important bacteria is a serious, and growing, problem [1]. However, the analysis of entire genomes requires considerable computational effort, usually including the assembly of the genome and subsequent identification of genes known to be important in pathology. An alternative approach is to use computational algorithms to identify genomic differences between pathogenic and non-pathogenic bacteria, even without knowing the biological meaning of those differences. To overcome this problem, a range of techniques for dimensionality reductio

APA, Harvard, Vancouver, ISO, and other styles

35

Yip, K., and F. Zhao. "Spatial Aggregation: Theory and Applications." Journal of Artificial Intelligence Research 5 (August 1, 1996): 1–26. http://dx.doi.org/10.1613/jair.315.

Full text

Abstract:

Visual thinking plays an important role in scientific reasoning. Based on the research in automating diverse reasoning tasks about dynamical systems, nonlinear controllers, kinematic mechanisms, and fluid motion, we have identified a style of visual thinking, imagistic reasoning. Imagistic reasoning organizes computations around image-like, analogue representations so that perceptual and symbolic operations can be brought to bear to infer structure and behavior. Programs incorporating imagistic reasoning have been shown to perform at an expert level in domains that defy current analytic or num

APA, Harvard, Vancouver, ISO, and other styles

36

Penabad Durán, Patricia, Paolo Di Barba, Xose Lopez-Fernandez, and Janusz Turowski. "Electromagnetic and thermal parameter identification method for best prediction of temperature distribution on transformer tank covers." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 34, no. 2 (2015): 485–95. http://dx.doi.org/10.1108/compel-08-2014-0217.

Full text

Abstract:

Purpose – The purpose of this paper is to describe a parameter identification method based on multiobjective (MO) deterministic and non-deterministic optimization algorithms to compute the temperature distribution on transformer tank covers. Design/methodology/approach – The strategy for implementing the parameter identification process consists of three main steps. The first step is to define the most appropriate objective function and the identification problem is solved for the chosen parameters using single-objective (SO) optimization algorithms. Then sensitivity to measurement error of th

APA, Harvard, Vancouver, ISO, and other styles

37

Yao, Gang, Rui Li, and Yang Yang. "An Improved Multi-Objective Optimization and Decision-Making Method on Construction Sites Layout of Prefabricated Buildings." Sustainability 15, no. 7 (2023): 6279. http://dx.doi.org/10.3390/su15076279.

Full text

Abstract:

Construction site layout planning (CSLP) that considers multi-objective optimization problems is essential to achieving sustainable construction. Previous CSLP optimization methods have applied to traditional cast-in-place buildings, and they lack the application for sustainable prefabricated buildings. Furthermore, commonly used heuristic algorithms still have room for improvement regarding the search range and computational efficiency of optimal solution acquisition. Therefore, this study proposes an improved multi-objective optimization and decision-making method for layout planning on the

APA, Harvard, Vancouver, ISO, and other styles

38

Almutairi, Mubarak Saad. "Evolutionary Multi-Objective Feature Selection Algorithms on Multiple Smart Sustainable Community Indicator Datasets." Sustainability 16, no. 4 (2024): 1511. http://dx.doi.org/10.3390/su16041511.

Full text

Abstract:

The conceptual fusion of smart city and sustainability indicators has inspired the emergence of the smart sustainable city (SSC). Given the early stage of development in this field, most SSC studies have been primarily theoretical. Notably, existing empirical studies have overlooked the crucial aspect of feature engineering in the context of SSC, despite its significance in advancing SSC initiatives. This paper introduces an approach advocating for feature subset selection to maximize prediction accuracy and minimize computational time across diverse SSC indicators encompassing socio-cultural,

APA, Harvard, Vancouver, ISO, and other styles

39

Saroglou, Soultana Tanya, Surayyn Uthaya Selvan, Laura Windorfer, et al. "Utilizing Design Objectives and Key Performance Indicators as a Means for Multi-Species Building Envelopes." Buildings 14, no. 1 (2024): 250. http://dx.doi.org/10.3390/buildings14010250.

Full text

Abstract:

Population growth, urbanization, and climate change have significantly contributed to environmental degradation, posing severe consequences for humans and other species. By integrating ecological objectives with human-centric goals, a path towards a sustainable, multi-species future is possible. Current sustainable design principles have shown positive environmental impacts by addressing human-centric objectives such as enhancing green infrastructure, energy efficiency, thermal comfort, and more. However, the incorporation of multi-species design criteria remains unresolved. This paper propose

APA, Harvard, Vancouver, ISO, and other styles

40

Babić, Neda, Branka Mikavica, Mirjana Stojanović, and Aleksandra Kostić-Ljubisavljević. "Wireless Powered Mobile edge Computing networks." Tehnika 80, no. 2 (2025): 185–91. https://doi.org/10.5937/tehnika2502185b.

Full text

Abstract:

The integration of Wireless Power Transfer (WPT) and Mobile Edge Computing (MEC) has enabled the development of Wireless Powered Mobile Edge Computing (WPMEC) networks, which are considered crucial for the sustainability of Industrial Internet of Things (IIoT) systems. The primary objective of WPMEC is to enhance the computational capabilities of mobile devices while compensating for their battery limitations. A WPMEC system consists of energy transmitters, mobile devices, and edge servers, forming a closed-loop structure. Due to network dynamics, limited battery life, and the half-duplex oper

APA, Harvard, Vancouver, ISO, and other styles

41

Polanco, Carlos, Vladimir N. Uversky, Alberto Huberman, et al. "Bioinformatics-based Characterization of the Sequence Variability of Zika Virus Polyprotein and Envelope Protein (E)." Evolutionary Bioinformatics 18 (January 2022): 117693432211307. http://dx.doi.org/10.1177/11769343221130730.

Full text

Abstract:

Background: Zika virus, which is widely spread and infects humans through the bites of Aedes albopictus and Aedes aegypti female mosquitoes, represents a serious global health issue. Objective: The objective of the present study is to computationally characterize Zika virus polyproteins (UniProt Name: PRO_0000443018 [residues 1-3423], PRO_0000445659 [residues 1-3423] and PRO_0000435828 [residues 1-3419]) and their envelope proteins using their physico-chemical properties. Methods: To achieve this, the Polarity Index Method (PIM) profile and the Protein Intrinsic Disorder Predisposition (PIDP)

APA, Harvard, Vancouver, ISO, and other styles

42

Tyagi, Akhilesh. "Integrated Area-power Optimal State Assignment." VLSI Design 12, no. 2 (2001): 275–300. http://dx.doi.org/10.1155/2001/39405.

Full text

Abstract:

This paper presents a state assignment algorithm with the objective of lower energy along with area comparable to the area-targeting state assignments such as JEDI. The underlying framework is MUSTANG's complete weighted graph with weights representing state affinity. The weight computation phase estimates the computation energy of potential common cubes using steady state probabilities for transitions. The weight computation phase also identifies a large set of potential state cliques, which are incorporated into a recursive bipartitioning based state assignment procedure. Reuse of cliques id

APA, Harvard, Vancouver, ISO, and other styles

43

Kim, Jang Hun, Huan Han, Young-June Moon, et al. "Hemodynamic Features of Microsurgically Identified, Thin-Walled Regions of Unruptured Middle Cerebral Artery Aneurysms Characterized Using Computational Fluid Dynamics." Neurosurgery 86, no. 6 (2019): 851–59. http://dx.doi.org/10.1093/neuros/nyz311.

Full text

Abstract:

Abstract BACKGROUND Thin-walled regions (TWRs) of aneurysm surfaces observed in microscopic surgery are thought to be vulnerable areas for growth and rupture of unruptured intracranial aneurysms (UIAs). OBJECTIVE To identify hemodynamic features of TWRs of aneurysms by using computational fluid dynamics (CFD) analyses of unruptured middle cerebral artery bifurcation (MCAB) aneurysms. METHODS Nine patients with 11 MCAB aneurysms were enrolled, and their TWRs were identified. CFD analysis was performed using 3 parameters: pressure, wall shear stress (WSS), and WSS divergence (WSSD). Each paramet

APA, Harvard, Vancouver, ISO, and other styles

44

Elia, Erwani Hassan, Izzati Mohd Noor Hanan, Ruzaini Bin Hashim Mohd, Fani Sulaima Mohamad, and Bahaman Nazrulazhar. "Optimal economic environmental power dispatch by using artificial bee colony algorithm." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 1469–78. https://doi.org/10.11591/ijai.v13.i2.pp1469-1478.

Full text

Abstract:

Today, most power plants worldwide use fossil fuels such as natural gas, coal, and oil as the primary resource for energy reproduction primarily. The new term for economic environmental power dispatch (EEPD) problems is on the minimum total cost of the generator and fossil fuel emissions to address atmosphere pollution. Thus, the significant objective functions are identified to minimize the cost of generation, most minor emission pollutants, and lowest system losses individually. As an alternative, an artificial bee colony (ABC) swarming algorithm is applied to solve the EEPD problem separate

APA, Harvard, Vancouver, ISO, and other styles

45

Luiz, Olavo J., Vanessa Aparecida de Moraes Weber, Maria Istela Cagnin, et al. "Computational System to Support Bovine Nutritional Behavior." International Journal of Agricultural and Environmental Information Systems 9, no. 3 (2018): 22–37. http://dx.doi.org/10.4018/ijaeis.2018070102.

Full text

Abstract:

Computational methodologies and techniques are increasingly being used for agricultural purposes in recent years. This article presents a computational system composed of hardware and software elements that can be used in the Precision Livestock area. The objective is to support the management of the operation of providing nutritional supplements: a hardware module identifies the visits of the animals to the troughs and transmits the data to a software module, which processes them and generates reports to support decision-making. A case study indicated the viability of the solution and advanta

APA, Harvard, Vancouver, ISO, and other styles

46

Mahdzan, Nurul Shahnaz, Wan Marhaini Wan Ahmad, Rozaimah Zainudin, Mohamed Hisham Hanifa, and Mahmood Nathie. "An Exploratory Study of Objective Islamic Financial Literacy in the Context of Malaysia." Turkish Journal of Islamic Economics 12, no. 1 (2025): 1–25. https://doi.org/10.26414/a4091.

Full text

Abstract:

This study develops a comprehensive, objective measure of Islamic financial literacy (IFL) that encompasses six core concepts: general concepts, numeracy and computational skills, Islamic financial concepts, savings and investments, borrowing and financing, and financial protection. Seven practitioners working in the Islamic banking and finance industry in Malaysia were chosen to validate the measure before pilot testing on a sample of 403 working-age adult respondents. The financial literacy scores are compared across samples of students, general working adults, and bankers and significant di

APA, Harvard, Vancouver, ISO, and other styles

47

Muiznieks, Reinis, Elina Dace, and Egils Stalidzans. "Integrated Sustainability Score Implementation as an Objective Function in Sustainable Metabolic Engineering." Fermentation 9, no. 6 (2023): 548. http://dx.doi.org/10.3390/fermentation9060548.

Full text

Abstract:

The sustainable metabolic engineering (SME) concept was defined by Stalidzans and Dace as an approach to the selection of the most sustainable metabolic engineering designs taking the economic, environmental and social components of sustainability into account. At the centre of the sustainability calculations is a genome-scale metabolic model that provides full balance of all incoming and outgoing metabolic fluxes at steady state. Therefore, sustainability indicators are assigned for each exchange reaction, enabling the calculation of sustainability features of consumption or production of eac

APA, Harvard, Vancouver, ISO, and other styles

48

Ahne, Adrian, Guy Fagherazzi, Xavier Tannier, Thomas Czernichow, and Francisco Orchard. "Improving Diabetes-Related Biomedical Literature Exploration in the Clinical Decision-making Process via Interactive Classification and Topic Discovery: Methodology Development Study." Journal of Medical Internet Research 24, no. 1 (2022): e27434. http://dx.doi.org/10.2196/27434.

Full text

Abstract:

Background The amount of available textual health data such as scientific and biomedical literature is constantly growing and becoming more and more challenging for health professionals to properly summarize those data and practice evidence-based clinical decision making. Moreover, the exploration of unstructured health text data is challenging for professionals without computer science knowledge due to limited time, resources, and skills. Current tools to explore text data lack ease of use, require high computational efforts, and incorporate domain knowledge and focus on topics of interest wi

APA, Harvard, Vancouver, ISO, and other styles

49

Sahlot, Rahul. "Abstract 150: Whole exome sequencing of siblings identifies a novel variant p.A399fs in ANOS1 gene associated with Kallman syndrome." Indian Journal of Endocrinology and Metabolism 26, Suppl 1 (2022): S53. http://dx.doi.org/10.4103/2230-8210.342275.

Full text

Abstract:

Background: Kallman Syndrome is an uncommon condition characterised by absent pubertal development and abnormalities of smell, secondary to GnRH deficiency and aplasia or hypoplasia of the olfactory bulb. Kallman Syndrome is the most common cause of isolated hypogonadotropic hypogonadism, but in the majority of cases, genetic diagnosis remains elusive. The arrival of Next-generation Sequencing (NGS) in the clinical landscape has revolutionised genomic research and helped in the expansion of the genetic repertoire of Kallman Syndrome. Objectives: Identification of the genetic mutation in two si

APA, Harvard, Vancouver, ISO, and other styles

50

Boas, Ivan Leoni Vilas, Luiz Olmes Carvalho, Phyllipe Lima, Simone de Sousa Borges, and Rodrigo Duarte Seabra. "Systematic Mapping of Computational Tools for Studying Human-Computer Interaction." RENOTE 22, no. 3 (2025): 240–54. https://doi.org/10.22456/1679-1916.144989.

Full text

Abstract:

The systematic mapping in this research identified 18 computer tools developed for studying topics related to human-computer interaction (HCI), most of them focused on teaching design processes through case studies. The research analyzes the characteristics, objectives, and functionalities of the identified tools. The main contribution of the article is understanding the state of the art in developing computer tools for studying HCI, creating the opportunity for future research into alternative ways of using resources for that purpose. The results revealed the identification of few currently a

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!