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Journal articles on the topic 'Best view selection'

Author: Grafiati

Published: 13 July 2024

Last updated: 31 July 2025

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1

Moreira, P. M. "Best multiple-view selection for the visualization of urban rescue simulations." International Journal of Simulation Modelling 5, no. 4 (2006): 167–73. http://dx.doi.org/10.2507/ijsimm05(4)4.081.

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Alarfaj, Fawaz, Naif Almusallam, Abdulatif Alabdulatif, Mohammed Ahmed Alomair, Abdulaziz Khalid Alsharidi, and Tarek Moulahi. "UFODMV: Unsupervised Feature Selection for Online Dynamic Multi-Views." Applied Sciences 13, no. 7 (2023): 4310. http://dx.doi.org/10.3390/app13074310.

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In most machine learning (ML) applications, data that arrive from heterogeneous views (i.e., multiple heterogeneous sources of data) are more likely to provide complementary information than does a single view. Hence, these are known as multi-view data. In real-world applications, such as web clustering, data arrive from diverse groups (i.e., sets of features) and therefore have heterogeneous properties. Each feature group is referred to as a particular view. Although multi-view learning provides complementary information for machine learning algorithms, it results in high dimensionality. Howe

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Boukorca, Ahcene, Ladjel Bellatreche, Sid-Ahmed Benali Senouci, and Zoé Faget. "Coupling Materialized View Selection to Multi Query Optimization." International Journal of Data Warehousing and Mining 11, no. 2 (2015): 62–84. http://dx.doi.org/10.4018/ijdwm.2015040104.

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Materialized views are queries whose results are stored and maintained in order to facilitate access to data in their underlying base tables of extremely large databases. Selecting the best materialized views for a given query workload is a hard problem. Studies on view selection have considered sharing common sub expressions and other multi-query optimization techniques. Multi-Query Optimization is a well-studied domain in traditional and advanced databases. It aims at optimizing a workload of queries by finding and reusing common sub-expression between queries. Finding the best shared expres

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Fan, Zhen, Xiu Li, and Yipeng Li. "Multi-Agent Deep Reinforcement Learning for Online 3D Human Poses Estimation." Remote Sensing 13, no. 19 (2021): 3995. http://dx.doi.org/10.3390/rs13193995.

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Most multi-view based human pose estimation techniques assume the cameras are fixed. While in dynamic scenes, the cameras should be able to move and seek the best views to avoid occlusions and extract 3D information of the target collaboratively. In this paper, we address the problem of online view selection for a fixed number of cameras to estimate multi-person 3D poses actively. The proposed method exploits a distributed multi-agent based deep reinforcement learning framework, where each camera is modeled as an agent, to optimize the action of all the cameras. An inter-agent communication pr

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K, Jayakrishna, Vimal K.E.K, and Sekar Vinodh. "ANP based sustainable concept selection." Journal of Modelling in Management 10, no. 1 (2015): 118–36. http://dx.doi.org/10.1108/jm2-12-2012-0042.

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Purpose – The purpose of this paper is to report a study in which analytical network process (ANP) was used for selecting the best concept from sustainability view point. Design/methodology/approach – The concept selection in the sustainability viewpoint is a typical multi-criteria decision-making (MCDM) problem involving complex interrelationship among the decision criteria. The formulated MCDM problem of sustainable concept selection was solved using ANP. The sensitivity analysis was also being conducted to validate the results. Findings – The interrelationship among the decision criteria wa

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Rajeevan, A. K., P. V. Shouri, and Usha Nair. "A Reliability Based Model for Wind Turbine Selection." International Journal of Renewable Energy Development 2, no. 2 (2013): 69–74. http://dx.doi.org/10.14710/ijred.2.2.69-74.

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A wind turbine generator output at a specific site depends on many factors, particularly cut- in, rated and cut-out wind speed parameters. Hence power output varies from turbine to turbine. The objective of this paper is to develop a mathematical relationship between reliability and wind power generation. The analytical computation of monthly wind power is obtained from weibull statistical model using cubic mean cube root of wind speed. Reliability calculation is based on failure probability analysis. There are many different types of wind turbinescommercially available in the market. From rel

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Mouna, Mustapha, Ladjel Bellatreche, and Narhimene Boustia. "ProRes: Proactive re-selection of materialized views." Computer Science and Information Systems, no. 00 (2022): 3. http://dx.doi.org/10.2298/csis210606003m.

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Materialized View Selection is one of the most studied problems in the database field, covering SQL and NoSQL technologies as well as different deployment infrastructures (centralized, parallel, cloud). This problem has become more complex with the arrival of data warehouses, being coupled with the physical de sign phase that aims at optimizing query performance. Selecting the best set of materialized views to optimize query performance is a challenging task. Given their importance and the complexity of their selection, several research efforts both from academia and industry have been conduct

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Hong, Hotak, Gimun Um, and Jongho Nang. "A Best View Selection Method in Videos of Interested Player Captured by Multiple Cameras." Journal of KIISE 44, no. 12 (2017): 1319–32. http://dx.doi.org/10.5626/jok.2017.44.12.1319.

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Imangaliyev, Sultan, Jörg Schlötterer, Folker Meyer, and Christin Seifert. "Diagnosis of Inflammatory Bowel Disease and Colorectal Cancer through Multi-View Stacked Generalization Applied on Gut Microbiome Data." Diagnostics 12, no. 10 (2022): 2514. http://dx.doi.org/10.3390/diagnostics12102514.

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Most of the microbiome studies suggest that using ensemble models such as Random Forest results in best predictive power. In this study, we empirically evaluate a more powerful ensemble learning algorithm, multi-view stacked generalization, on pediatric inflammatory bowel disease and adult colorectal cancer patients’ cohorts. We aim to check whether stacking would lead to better results compared to using a single best machine learning algorithm. Stacking achieves the best test set Average Precision (AP) on inflammatory bowel disease dataset reaching AP = 0.69, outperforming both the best base

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Gosain, Anjana, and Kavita Sachdeva. "Handling Constraints Using Penalty Functions in Materialized View Selection." International Journal of Natural Computing Research 8, no. 2 (2019): 1–17. http://dx.doi.org/10.4018/ijncr.2019040101.

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Materialized view selection (MVS) plays a vital role for efficiently making decisions in a data warehouse. This problem is NP-hard and constrained optimization problem. The authors have handled both the space and maintenance cost constraint using penalty functions. Three penalty function methods i.e. static, dynamic and adaptive penalty functions have been used for handling constraints and Backtracking Search Optimization algorithm (BSA) has been used for optimizing the total query processing cost. Experiments were conducted comparing the static, dynamic and adaptive penalty functions on varyi

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Osten, Evariste F. "Binomial Attribute Sampling as an Aid in Defining a Representative Field of View in Microscopy." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 1 (1990): 466–67. http://dx.doi.org/10.1017/s0424820100181087.

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Statistical analyses are routinely applied to microscope data from micrographs (measurements, shape factors) and, using electron microscopes, from x-ray microanalytical systems (net counts, peak ratios). However selection of a field of view which is recorded on a micrograph and implied to be a representative image of the bulk of the sample (at that magnification) is done intuitively. Experienced microscopists do consider a number of factors in selecting and preparing a sample and then choose from many instrument operating parameters before they view the sample. At this point assuming that the

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Turoń, Katarzyna. "Carsharing Vehicle Fleet Selection from the Frequent User’s Point of View." Energies 15, no. 17 (2022): 6166. http://dx.doi.org/10.3390/en15176166.

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Short-term car rental services, i.e., carsharing, is a solution that has been developing better and better in urban transport systems in recent years. Along with intensive expansion, service providers have to face an increasing number of challenges to compete with each other. One of them is meeting the expectations of customers about the fleet of vehicles offered in the system. While this aspect is noticed in the literature review mainly in terms of fleet optimization and management, there is a research gap regarding the appropriate selection of vehicle models. In response, the article was ded

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Wei, Kaibin, Haifeng Li, Qing Liu, and Xiongjian Zhang. "Self-Supervised, Multi-View, Semantics-Aware Anchor Clustering." Electronics 13, no. 23 (2024): 4782. https://doi.org/10.3390/electronics13234782.

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Data-driven artificial intelligence systems effectively enhance accuracy and robustness by utilizing multi-view learning to aggregate consistent and complementary information from multi-source data. As one of the most important branches of multi-view learning, multi-view anchor clustering greatly reduces the time complexity via learning similarity graphs between anchors and data instead of data-to-data similarities, which has gained widespread attention in data-driven artificial intelligence domains. However, two issues still exist in current methods: (1) They commonly utilize orthogonal regul

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Wu, Qian, and Ya Nan Gao. "Selection Model of Concessionaire in PPP Projects." Applied Mechanics and Materials 174-177 (May 2012): 2906–10. http://dx.doi.org/10.4028/www.scientific.net/amm.174-177.2906.

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The failure or success of the PPP project depends on choosing a reasonable concessionaire.And it is particularly important.From the view of the government,the article launch a more accurate,comprehensive quantitive evaluation analysis on the basis of the characteristics of the PPP projects: construct a model to choose concessionaire of the project.Using fuzzy AHP method, we can build a model and solve it. Thus, we could get the best concessionaire and benefit all the parties.

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Vaupel, B. G. L. "The Best Remaining Seat: Evaluating Auditorium Plans for Desirability." Building Acoustics 5, no. 1 (1998): 1–16. http://dx.doi.org/10.1177/1351010x9800500101.

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It is important that an auditorium be designed to have as many good seats as possible. Not all seats in an auditorium are judged to be equally good. This is manifested in that the audience does not choose its seats randomly. The audience understands intuitively that, generally speaking, the closer a seat is to the performers, and the more straight on the better it is. Acoustics should be the most important consideration in selecting a seat, prior to a concert. However, the visual, comfort and economic factors are also important, along with others, not easy to isolate or define. Imagine an audi

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AlShehri, Mohammed Abdul Rahman, and Shailendra Mishra. "Feature Based Comparison and Selection of SDN Controller." International Journal of Innovation and Technology Management 16, no. 05 (2019): 1950029. http://dx.doi.org/10.1142/s0219877019500299.

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Software defined network (SDN) controller selection in SDN is a key challenge to the network administrator. In SDN, control plane is an isolated process and operate on control layer. The controller provides a universal view of the entire network and support applications and services. The three focused parameters for controller selection are productivity, campus network and open source. In SDN, it is vital to have a good device for the efficient processing of all requests made by the switch and for good behavior of the network. For selecting best controller for the specified parameters, decisio

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Putra, Ade Dwi, Muhammad Waqas Arshad, Setiawansyah Setiawansyah, and Sanriomi Sintaro. "Decision Support System for Best Honorary Teacher Performance Assessment Using a Combination of LOPCOW and MARCOS." Journal of Computer System and Informatics (JoSYC) 5, no. 3 (2024): 578–90. https://doi.org/10.47065/josyc.v5i3.5127.

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Teachers are the main pillars in the formation and development of future generations. They not only pass on knowledge, but also play an important role in guiding, inspiring, and shaping the character of students. The main problems in selecting the best honor teachers are limited resources and a less systematic evaluation process, lack of transparency and consistency in the selection process can also lead to dissatisfaction and injustice among honor teachers. Through the combination of LOPCOW and MARCOS, this research succeeded in producing a more accurate and accountable ranking in the selecti

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Anstis, Stuart, Grace Hong, and Alan Ho. "Salience-Based Edge Selection in Flicker and Binocular Color Vision." i-Perception 11, no. 3 (2020): 204166952092904. http://dx.doi.org/10.1177/2041669520929047.

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A test cross that flickers between light yellow and dark blue at 5 to 8Hz looks apparently yellow on a dark gray surround and apparently blue on a light gray surround ( flicker augmented contrast). The achromatic surround cannot be inducing the perceived colors. Instead, the visual system selects the more salient apparent color with the higher Michelson contrast. The same is true for dichoptic vision. When one eye views a steady, light yellow cross and the other eye views a congruent steady dark blue cross, the binocular combination of colors looks apparently yellow on a dark gray surround and

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Karen-Lizbeth, Flores-Rodriguez, Trujillo-Romero Felipe, and Gonzalez-Barbosa Jose-Joel. "Active object search using a pyramid approach to determine the next-best-view." IAES International Journal of Robotics and Automation (IJRA) 11, no. 1 (2022): 70–88. https://doi.org/10.11591/ijra.v11i1.pp70-88.

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The development of service robotics continues to arouse interest in the scientific community due to the complexity of the activities performed like interaction in human environments, identifying and manipulating objects, and even learning by themselves. This paper proposed to improve the perception of the environment by searching for objects in service robotics tasks. We present the development and implementation of an active object search method based on three main phases: Firstly, image pyramid segmentation to examine in detail the im- age features. Second step, object detection at each leve

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Westphal, Max, and Werner Brannath. "Evaluation of multiple prediction models: A novel view on model selection and performance assessment." Statistical Methods in Medical Research 29, no. 6 (2019): 1728–45. http://dx.doi.org/10.1177/0962280219854487.

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Model selection and performance assessment for prediction models are important tasks in machine learning, e.g. for the development of medical diagnosis or prognosis rules based on complex data. A common approach is to select the best model via cross-validation and to evaluate this final model on an independent dataset. In this work, we propose to instead evaluate several models simultaneously. These may result from varied hyperparameters or completely different learning algorithms. Our main goal is to increase the probability to correctly identify a model that performs sufficiently well. In th

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ÖZDEMİR, Yavuz, and Kemal Gökhan NALBANT. "A REAL PERSONNEL SELECTION PROBLEM USING THE GENERALIZED CHOQUET INTEGRAL METHODOLOGY." Business & Management Studies: An International Journal 6, no. 2 (2018): 694–716. http://dx.doi.org/10.15295/bmij.v6i2.270.

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The main objective in the selection of personnel is to select the most appropriate candidate for a job. Personnel selection for human resources management is a very important issue.The aim of this paper is to determine the best-performing personnel for promotion using an application of a Multi Criteria Decision Making(MCDM) method, generalized Choquet integral, to a real personnel selection problem of a case study in Turkey and 17 alternatives are ranked according to personnel selection criteria (22 subcriteria are classified under 5 main criteria). The main contribution of this paper is to de

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Malinowska, Agnieszka, Ryszard Hejmanowski, and Janusz Rusek. "Estimation of the Parameters Affecting the Water Pipelines on the Mining Terrains with A Use of An Adaptive Fuzzy System." Archives of Mining Sciences 61, no. 1 (2016): 183–97. http://dx.doi.org/10.1515/amsc-2016-0014.

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Abstract The research presented in this paper is basically focused on two objectives. Firstly, the selection of parameters affecting the water supply network damage. The causes of failures were selected from a population of tens of breakdown cases and then classified in view of their importance. Secondly, attention was paid to the selection of the most suitable linguistic model which could be commonly used for selecting factors which generate failures. Finally a Mamdani-based model could be worked out as a system possessing best generalization qualities. This model can create bases for an adap

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Martin, Micaela Y., Mateu Sbert, and Miguel Chover. "Viewpoint Selection for 3D-Games with f-Divergences." Entropy 26, no. 6 (2024): 464. http://dx.doi.org/10.3390/e26060464.

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In this paper, we present a novel approach for the optimal camera selection in video games. The new approach explores the use of information theoretic metrics f-divergences, to measure the correlation between the objects as viewed in camera frustum and the ideal or target view. The f-divergences considered are the Kullback–Leibler divergence or relative entropy, the total variation and the χ2 divergence. Shannon entropy is also used for comparison purposes. The visibility is measured using the differential form factors from the camera to objects and is computed by casting rays with importance

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Flores-Rodriguez, Karen-Lizbeth, Felipe Trujillo-Romero, and Jose-Joel Gonzalez-Barbosa. "Active object search using a pyramid approach to determine the next-best-view." IAES International Journal of Robotics and Automation (IJRA) 11, no. 1 (2022): 70. http://dx.doi.org/10.11591/ijra.v11i1.pp70-88.

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<p>The development of service robotics continues to arouse interest in the scientific community due to the complexity of the activities performed like interaction in human environments, identifying and manipulating objects, and even learning by themselves. This paper proposed to improve the perception of the environment by searching for objects in service robotics tasks. We present the development and implementation of an active object search method based on three main phases: Firstly, image pyramid segmentation to examine in detail the im- age features. Second step, object detection at

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Singha, Chiranjit, Kishore Chandra Swain, and Sanjay Kumar Swain. "Best Crop Rotation Selection with GIS-AHP Technique Using Soil Nutrient Variability." Agriculture 10, no. 6 (2020): 213. http://dx.doi.org/10.3390/agriculture10060213.

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Crop selections and rotations are very important in optimising land and labour productivities, enhancing higher cropping intensities, producing better crop yield. A land suitability analysis system based on the analytical hierarchy process (AHP) technique coupled with the Geographic Information System (GIS) software environment can be a unique tool for better crop selection. The AHP-GIS technique was used in land suitability analysis in crop rotation decisions, for rice-jute (Kharif season) and potato-lentil (Rabi season) crops in the Hooghly District, West Bengal, India. The study area coveri

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Geffner, Hector. "The Model-Based Approach to Autonomous Behavior: A Personal View." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 1709–12. http://dx.doi.org/10.1609/aaai.v24i1.7765.

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The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-based approach, where the agent controller is given by the programmer, the learning-based approach, where the controller is induced from experience via a learning algorithm, and the model-based approach, where the controller is derived from a model of the problem. Planning in AI is best conceived as the model-based approach to action selection. The models represent the initial situation, actions, sensors, and goals. Th

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Amador, I. C. B., B. M. Viegas, E. N. Macêdo, K. G. P. Nunes, L. A. Féris, and D. C. Estumano. "ESTIMATION OF PARAMETERS AND SELECTION OF MODELS APPLIED IN ADSORPTION." Revista de Engenharia Térmica 20, no. 2 (2021): 03. http://dx.doi.org/10.5380/reterm.v20i2.81780.

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The modeling of complex phenomena such as adsorption often requires the determination of parameters that cannot be directly measured and, therefore, must be estimated. An important point is related to the analysis of the inverse problem as a method of estimating parameters and selecting models. In view of this, this work aims to apply the Monte Carlo method via Markov Chains (MCMC) as a technique for solving the inverse problem of estimating fixed-bed adsorption parameters using analytical models proposed in the literature. In addition, this work aims to select the best model through the stati

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Sahoo, Deepanjali, Arun Kumar Tripathy, Jitendra Kumar Pati, and Prashant Kumar Parida. "A selection of level of supplier in supply chain management using binary coded genetic algorithm with a case study towards Pareto optimality." Journal of Decision Analytics and Intelligent Computing 3, no. 1 (2023): 90–104. http://dx.doi.org/10.31181/jdaic10015072023s.

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In this work, authors discuss the way of selecting level of supplier by using the concept of binary coded genetic algorithm. For the best solution due to involvement of multi objective functions, the process of Tournament selection is widely discussed. In addition to this, authors involve fuzzy parameters due to the aspiration levels of Decision maker in analysis part for more clarity towards optimality. As a case study towards pareto optimality, the theory of non-dominance of solutions is properly discussed with the help of Pareto frontier. At last the values of objective functions based on q

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Khan, Seemab, Muhammad Attique Khan, Majed Alhaisoni, et al. "Human Action Recognition: A Paradigm of Best Deep Learning Features Selection and Serial Based Extended Fusion." Sensors 21, no. 23 (2021): 7941. http://dx.doi.org/10.3390/s21237941.

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Human action recognition (HAR) has gained significant attention recently as it can be adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task because of the variety of human actions in daily life. Various solutions based on computer vision (CV) have been proposed in the literature which did not prove to be successful due to large video sequences which need to be processed in surveillance systems. The problem exacerbates in the presence of multi-view cameras. Recently, the development of deep learning (DL)-based systems has shown significant success for HAR eve

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Dahm, Stephan Frederic, Emiko J. Muraki, and Penny M. Pexman. "Hand and Foot Selection in Mental Body Rotations Involves Motor-Cognitive Interactions." Brain Sciences 12, no. 11 (2022): 1500. http://dx.doi.org/10.3390/brainsci12111500.

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Action imagery involves the mental representation of an action without overt execution, and can contribute to perspective taking, such as that required for left-right judgments in mental body rotation tasks. It has been shown that perspective (back view, front view), rotational angle (head-up, head-down), and abstractness (abstract, realistic) of the stimulus material influences speed and correctness of the judgement. The present studies investigated whether left-right judgements are more difficult on legs than on arms and whether the type of limb interacts with the other factors. Furthermore,

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Wahlberg, Mats. "Natural Selection, Scarcity and Evil:." Scientia et Fides 12, no. 1 (2024): 107–18. http://dx.doi.org/10.12775/setf.2024.006.

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It is often claimed that our knowledge of the evolutionary process adds an extra dimension to the classical problem of natural evil and makes this problem worse. Especially the principle of natural selection is often portrayed as morally inappropriate or “unfitting” for a perfectly good God to use as a means for creating biological complexity. In this article, I argue that this common view is misconceived, and that natural selection is a wholly innocuous principle. The real source of evolutionary evils is the fact that resources in nature are scarce – a fact that was known long before Darwin.

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Moran, Peter, Michele Simoni, and Gianluca Vagnani. "Becoming the best: by beating or ignoring the best? Toward an expanded view of the role of managerial selection in complex and turbulent environments." Journal of Management & Governance 15, no. 3 (2010): 447–81. http://dx.doi.org/10.1007/s10997-010-9129-2.

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Rotimi, Adeyoriju, and Fajebe Folorunso. "Human Resources Recruitment and Selection Practices in Nigerian Organisations." INTERDISCIPLINARY JOURNAL OF EDUCATION (IJE) 1, no. 2 (2018): 230–38. http://dx.doi.org/10.53449/ije.v1i2.54.

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This study examined human resources recruitment and selection practices in Nigerian organizations. To achieve this, literature were reviewed on recruitment and selection practices, current trends on recruitment and selection in Nigeria workplace, challenges and consequences of poor recruitment and selection practices, along with strategies for managing recruitment and selection in the Nigerian workplace. This study utilized Resource Based View and Equity Theory in order to build a solid argument for the discourse. Hence, this study concluded that recruiting right calibre of employee in the rig

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Wang, Ren Zheng, Xing Wei Wang, and Min Huang. "An ABC Supported Heterogeneous Access Networks Selection Mechanism." Applied Mechanics and Materials 602-605 (August 2014): 3080–83. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3080.

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The popularity of mobile communications and coexistence of heterogeneous access networks make it possible that the person can achieve the communication business with little restrict, which requires the support of ABC (always best connected) and the guarantee of users’ QoS requirement. For the property that the network status and users’ QoS requirements are difficult to get, this paper proposes an ABC supported heterogeneous access networks selection mechanism based on the particle swarm optimization based on adaptive diffusion and hybrid mutation in view of users’ preference, users’ cost and n

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Yu, Difeng, Hai-Ning Liang, Feiyu Lu, Vijayakumar Nanjappan, Konstantinos Papangelis, and Wei Wang. "Target Selection in Head-Mounted Display Virtual Reality Environments." JUCS - Journal of Universal Computer Science 24, no. (9) (2018): 1217–43. https://doi.org/10.3217/jucs-024-09-1217.

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Target selection is one of the most common and important tasks in interactive systems. Within virtual reality environments, target selection can pose extra challenges to users because targets can be located far away, clustered together, and occluded from view. Although selection techniques have been explored, it is often unclear which techniques perform better across different environmental target density levels and which have higher levels of usability especially for recently released commercial head-mounted display (HMD) virtual reality systems and input devices. In this paper, we first revi

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Hu, Shirui, Zhiyuan Li, Shaohua Wang, Mingyao Ai, and Qingwu Hu. "A Texture Selection Approach for Cultural Artifact 3D Reconstruction Considering Both Geometry and Radiation Quality." Remote Sensing 12, no. 16 (2020): 2521. http://dx.doi.org/10.3390/rs12162521.

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3D reconstruction of culture artifacts has great potential in digital heritage documentation and protection. Choosing the proper images for texture mapping from multi-view images is a major challenge for high precision and high quality 3D reconstruction of culture artifacts. In this study, a texture selection approach, considering both the geometry and radiation quality for 3D reconstruction of cultural artifacts while using multi-view dense matching is proposed. First, a Markov random field (MRF) method is presented to select images from the best angle of view among texture image sets. Then,

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Albattah, Waleed, Rehan Ullah Khan, Mohammed F. Alsharekh, and Samer F. Khasawneh. "Feature Selection Techniques for Big Data Analytics." Electronics 11, no. 19 (2022): 3177. http://dx.doi.org/10.3390/electronics11193177.

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Big data applications have tremendously increased due to technological developments. However, processing such a large amount of data is challenging for machine learning algorithms and computing resources. This study aims to analyze a large amount of data with classical machine learning. The influence of different random sampling techniques on the model performance is investigated by combining the feature selection techniques and machine learning classifiers. The experiments used two feature selection techniques: random subset and random projection. Two machine learning classifiers were also us

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Uliasz-Misiak, Barbara, Joanna Lewandowska-Śmierzchalska, and Rafał Matuła. "Selection of Underground Hydrogen Storage Risk Assessment Techniques." Energies 14, no. 23 (2021): 8049. http://dx.doi.org/10.3390/en14238049.

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The article proposes the use of the analytic hierarchy process (AHP) method to select a risk assessment technique associated with underground hydrogen storage. The initial choosing and ranking of risk assessment techniques can be considered as a multi-criteria decision problem. The usage of a decision model based on six criteria is proposed. A ranking of methods for estimating the risks associated with underground hydrogen storage is presented. The obtained results show that the application of the AHP-based approach may be a useful tool for selecting the UHS risk assessment technique. The prop

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Furtado, Paulo Antônio Xavier, and Antônio Vanderley Herrero Sola. "Fuzzy Complex Proportional Assessment Applied in Location Selection for Installation of Photovoltaic Plants." Energies 13, no. 23 (2020): 6260. http://dx.doi.org/10.3390/en13236260.

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This article proposes the application of a multi-criteria decision-making method based on fuzzy complex proportional assessment (COPRAS-F), applying business sustainability criteria, to rank alternative sites for the installation of photovoltaic plants, as selected from a geographic suitability index map of vast and heterogeneous regions in Southern Brazil, obtained from a geographic information system. As a key feature, the methodology serves the interests of stakeholders during decision-making meetings in a personalized manner, eliminating the need for consensus to overcome conflicts and ant

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Ganslandt, T., and W. O. Hackl. "Findings from the Clinical Information Systems Perspective." Yearbook of Medical Informatics 24, no. 01 (2015): 90–94. http://dx.doi.org/10.15265/iy-2015-037.

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Summary Objective: To summarize recent research and to propose a selection of best papers published in 2014 in the field of Clinical Information Systems (CIS).Method: A query with search terms from the Medical Subject Headings (MeSH) catalog as well as additional free text search terms was designed to identify relevant publications in the field of clinical information systems from PubMed and Web of Science®. The retrieved articles were then categorized in a multi-pass review carried out separately by the section editors. The final selection of 15 candidate papers was then peer-reviewed by Year

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Cai, Guo Yin, Jie Huan, Yang Liu, and Ming Yi Du. "DEM Generation and Accuracy Assessment Using ZY-3 Stereo Image Pairs." Applied Mechanics and Materials 738-739 (March 2015): 613–17. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.613.

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Digital Elevation Model (DEM) is an important data source for topographic analysis, 3D visualization and satellite image ortho-rectification. This paper focused on the DEM extraction and accuracy assessment from ZY-3 satellite with 3 stereo images. DEM was extracted using three different stereo pair image groups composed of forward and nadir view images, nadir and backward view images as well as forward and backward view images. The accuracy of the DEM was indicated by root-mean-square error (RMSE) values. The results showed that the stereo pair of nadir and forward view images achieved the be

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Zhou, Li. "On the C-E Translation Strategies of Chinese Folk Culture from the Perspective of Eco-translatology." Frontiers in Humanities and Social Sciences 2, no. 6 (2022): 75–77. http://dx.doi.org/10.54691/fhss.v2i6.896.

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Folk culture, as an important part of Chinese culture, is characterized by collective, regional, repetitive and typological features. From the point view of Eco-translatology, this paper explores how the translator makes the adaptive selection and transformation from the linguistic, cultural and communicative dimensions in order to achieve the best translation effects under the guidance of the principle of “multi-dimensional adaptation and adaptive selection” by analyzing some typical C-E translations of folk culture, which is expected to offer references to the translation of the Chinese folk

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Mok, Esmond, and Paul A. Cross. "A Fast Satellite Selection Algorithm for Combined GPS and GLONASS Receivers." Journal of Navigation 47, no. 3 (1994): 383–89. http://dx.doi.org/10.1017/s0373463300012327.

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This paper derives a fast satellite selection algorithm; that is, an algorithm to select the best subset of satellites to use for positioning in circumstances whereby a satellite navigation receiver is not capable of using all satellites in view. The algorithm adopts the weighting factor concept to determine the contribution of each satellite to the overall positioning accuracy. Selection by this algorithm is shown to be especially efficient when the number of available satellites is large, so it is likely to be particularly useful for receivers capable of making combined measurements to GPS a

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Yoga Religia and Amali Amali. "Perbandingan Optimasi Feature Selection pada Naïve Bayes untuk Klasifikasi Kepuasan Airline Passenger." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 5, no. 3 (2021): 527–33. http://dx.doi.org/10.29207/resti.v5i3.3086.

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The quality of an airline's services cannot be measured from the company's point of view, but must be seen from the point of view of customer satisfaction. Data mining techniques make it possible to predict airline customer satisfaction with a classification model. The Naïve Bayes algorithm has demonstrated outstanding classification accuracy, but currently independent assumptions are rarely discussed. Some literature suggests the use of attribute weighting to reduce independent assumptions, which can be done using particle swarm optimization (PSO) and genetic algorithm (GA) through feature se

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Caissie, Daniel, and Nassir El-Jabi. "A stochastic study of floods in Canada: truncation level by region." Canadian Journal of Civil Engineering 18, no. 2 (1991): 328–30. http://dx.doi.org/10.1139/l91-038.

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The main problem in applying a partial duration series model in flood frequency analysis lies in the selection of the truncation level. From a practical point of view, it is important to have a simple and effective way of selecting this level. A truncation level study was conducted on hydrometric stations across Canada and regional equations were developed for estimating the truncation level using regression analysis. The homogeneous region was selected based on previous countrywide hydrological studies. From the hydrologic and physiographic parameters used in the regression analysis, the mean

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Emmanuel Ampong Afoakwah and Hannah Kemevor. "The Impact of Supplier Selection and Monitoring on the Effectiveness of Public Procurement in Ghana: Cost Reduction Point of View." international journal of engineering technology and management sciences 7, no. 3 (2023): 103–10. http://dx.doi.org/10.46647/ijetms.2023.v07i03.014.

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The aim of this study is to examine the role of supplier selection and monitoring on the effectiveness of public procurement in terms of cost reduction in Ghana. Procurement effectiveness as an element of public performance management can contribute to achieving Value for Money by reducing administrative overhead costs and directing resources to support more complex procurement processes. Procurement adds value by reducing costs, without the compromise of quality, product failures, assuring the operational efficiency to enable better quality without any additional cost with an aim to achieve t

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Ojo, J. F., and J. Ayoola Femi. "LISTING OF ALL SUBSETS AND SELECTION OF BEST SUBSET IN A FINITE DISTRIBUTED LAG MODEL USING METEOROLOGICAL DATA." Continental J. Applied Sciences 8, no. 2 (2013): 26–33. https://doi.org/10.5281/zenodo.2573183.

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This paper develops algorithms for listing and estimation of all subsets in a finite distributed lag model, with a view to select the best subset from the listed subsets thereby removing the parameters that contribute insignificantly to the model and more so reduce the problem of multicollinearity. We describe the method of estimation for full and subset finite distributed lag models.   In order to select the best order for full and subset finite distributed lag models, Akaike information criterion (AIC) is adopted. The estimation technique is illustrated with respect to a meteorological

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Vidal, J. M., S. A. Edwards, O. MacPherson, P. R. English, and A. G. Taylor. "Effect of environmental temperature on dietary selection in lactating sows." Proceedings of the British Society of Animal Production (1972) 1991 (March 1991): 122. http://dx.doi.org/10.1017/s0308229600020729.

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The choice-feeding method has been suggested as an effective way of estimating nutritional requirements and it may be helpful from a practical point of view for meeting the nutrient requirements of animals with great variability in nutrient intake and requirements, for example sows in lactation. Friend (1971) reported high variability in protein intake in lactating sows on choice feeding. Growing rats (Leshner et al.,1971) respond to temperature changes by modifying the proportion of protein selected in order to maintain their protein intake. The main objective of this experiment was to invest

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Shin, Young Eui, Yeon Sung Kim, Hyoung-Il Kim, Jong Min Kim, Kyong Ho Chang, and Dave F. Farson. "Selection of Proper Fatigue Model for Flip Chip Package Reliability." Materials Science Forum 502 (December 2005): 393–98. http://dx.doi.org/10.4028/www.scientific.net/msf.502.393.

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There have been diverse fatigue models and approaches to properly estimate solder joint reliability. However, it is one of the most difficult problems to determine which solder constitutive models and fatigue models can be applied best. In this paper, both viscoplastic and elastic-plastic-creep solder constitutive models could be utilized to calculate accumulated inelastic response under 208 K to 423 K(-65 °C to 150 °C) thermal cycling condition. And two different fatigue models, Darveaux and creep-fatigue model were applied to find solder joints fatigue life for flip chip assembly. Moreover,

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Nguefack-Tsague, Georges, and Ingo Bulla. "A Focused Bayesian Information Criterion." Advances in Statistics 2014 (October 14, 2014): 1–8. http://dx.doi.org/10.1155/2014/504325.

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Myriads of model selection criteria (Bayesian and frequentist) have been proposed in the literature aiming at selecting a single model regardless of its intended use. An honorable exception in the frequentist perspective is the “focused information criterion” (FIC) aiming at selecting a model based on the parameter of interest (focus). This paper takes the same view in the Bayesian context; that is, a model may be good for one estimand but bad for another. The proposed method exploits the Bayesian model averaging (BMA) machinery to obtain a new criterion, the focused Bayesian model averaging (

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