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Journal articles on the topic 'Features of advance'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Ahuja, Sanjograj Singh. "FlexFashion: E-Commerce with Advance Features." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (2021): 1015–19. http://dx.doi.org/10.22214/ijraset.2021.39113.

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Abstract: The aim of this website is to enhance the shopping experience for customers using an advance feature of recommending matching outfits using the colorgram module. Flex Fashion is an interactive e-commerce solution providing users with an excellent fashion platform. The e - commerce platform displays an order cut-off time and a delivery window for the products selected by the consumer. The e - commerce platform does not settle with the user's credit supplier until the item chosen by the consumer is picked from inventory but before it is delivered. As a result, the buyer can make adjust

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Ghindawi, Ikhlas Watan, and Lamyaa Mohammed Kadhim. "Development of Adaptive Tracking using Advance Filter and Selection Features Method." International Journal of Engineering Research and Advanced Technology 08, no. 09 (2022): 01–10. http://dx.doi.org/10.31695/ijerat.2022.8.10.1.

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Recently, Kalman filter(KF)-based algorithms of tracking had demonstrated to be effective, however, their efficiency is limited by fixed feature selections and the possibility of model drift. In the presented research, we offer a new adaptive feature selection-based tracking approach that maintains the KF’s excellent discriminating power. Depending on scores of confidence regarding features in every one of frames, the suggested approach might select (automatically)either SIFT feature or the colour feature for the tracking. With a use of KF, a response map related to the SIFT features and color

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Augustine, Akhil, and George Georgethomas. "Advance Features and Mobility Management of Mobile WiMAX." International Innovative Research Journal of Engineering and Technology 4, no. 2 (2018): EC—17—EC—21. http://dx.doi.org/10.32595/iirjet.org/v4i2.2018.76.

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Szamatowicz, Marcin, and Joshua Paundra. "Access or Ownership? The effect of car attributes and collective psychological ownership on the preference for car subscription services." Psychological Research on Urban Society 2, no. 1 (2019): 44. http://dx.doi.org/10.7454/proust.v2i1.44.

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Alternative transportation services for urban commuters expand with car subscription services. Car subscription services give drivers access to cars without ownership for a relatively longer time period (e.g., months) than other sharing economy transportation services. Based on a mix of between- and within-subject design online experiment involving 274 participants, this study investigates traditional and upcoming subscribed car features namely, mileage limit, price, self-driving capability, advanced safety systems, and the moderating influence of collective psychological ownership of these fe

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Vardanyan, O. V., and T. N. Kosheleva. "On Leading Practices of Preliminary Notification in the Interaction of Customs Authorities and Business Structures." Economics and Management 27, no. 10 (2021): 804–15. http://dx.doi.org/10.35854/1998-1627-2021-10-804-815.

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Aim. The presented study aims to identify the key features of best practices in the organization of advance notification by analyzing advance notification practices in the European Union (EU) and Japan.Tasks. The authors analyze the organization of advance notification in the EU and Japan, identify the key features of best practices in the organization of advance notification, and formulate recommendations for Russian customs authorities.Methods. This study uses general scientific methods (analysis, synthesis, comparison) and special scientific methods (legal analysis, process analysis).Result

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Ruppel, Margie. "Advance: A SAGE Preprints Community." Charleston Advisor 22, no. 3 (2021): 5–9. http://dx.doi.org/10.5260/chara.22.3.5.

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Advance, a SAGE preprints community, from SAGE Publishing, is one of a growing number of Open Access repositories where researchers can post papers online for free prior to peer review and thereby speed the dissemination of research. Figshare, Open Access repository software from Digital Science, forms the infrastructure and workflow for Advance. Key features of Advance include an easy-to-navigate interface and simple search, Creative Commons-licensed manuscripts with version-controlled DOIs, support for multiple file formats, indexing in Google Scholar and CrossRef, and long-term access. Draw

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Vinod, Pal Sonam. "MLCompare: Platform to Compare Machine Learning Models." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3303–5. http://dx.doi.org/10.22214/ijraset.2024.60597.

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Abstract: The field of machine learning (ML) continues to advance, the demand for efficient and effective methods for model development and selection becomes increasingly pressing. Automated Machine Learning (AutoML) platforms have emerged as powerful tools to address this need by automating the process of model selection, hyperparameter tuning, and feature engineering. By integrating a wide array of ML techniques and leveraging cloud computing resources, the platform enables researchers and practitioners to efficiently explore and compare the performance of various algorithms across diverse d

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LOU, QIANG, and ZORAN OBRADOVIC. "CLASSIFYING TEMPORAL MICROARRAY DATA BY SELECTING INFORMATIVE GENES." Journal of Bioinformatics and Computational Biology 11, no. 03 (2013): 1341006. http://dx.doi.org/10.1142/s0219720013410060.

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In order to more accurately predict an individual's health status, in clinical applications it is often important to perform analysis of high-dimensional gene expression data that varies with time. A major challenge in predicting from such temporal microarray data is that the number of biomarkers used as features is typically much larger than the number of labeled subjects. One way to address this challenge is to perform feature selection as a preprocessing step and then apply a classification method on selected features. However, traditional feature selection methods cannot handle multivariat

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Bąk, Sławomir, Marcin Krystek, Krzysztof Kurowski, Ariel Oleksiak, Wojciech Piątek, and Jan Wąglarz. "GSSIM – A Tool for Distributed Computing Experiments." Scientific Programming 19, no. 4 (2011): 231–51. http://dx.doi.org/10.1155/2011/925395.

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In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulation tool for distributed computing problems. Based on a classification of simulator features proposed in the paper, we define problems that can be simulated using GSSIM and compare it to other simulation tools. We focus on an extension of our previous works including advanced workload generation methods, simulation of a network with advance reservation features, handling specific application performance models and energy efficiency modeling. Some important features of GSSIM are demonstrated by t

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Jackson, Scott I., Sarah C. Laxton, and Dan J. Smith. "Dendroglaciological evidence for Holocene glacial advances in the Todd Icefield area, northern British Columbia Coast Mountains." Canadian Journal of Earth Sciences 45, no. 1 (2008): 83–98. http://dx.doi.org/10.1139/e07-071.

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Accelerated glacial recession and downwasting in Pacific North America is exposing land surfaces and features buried by glacial advances that, in many locations, predate the recent Little Ice Age (LIA). Dendrochronologic analyses of increment core samples from living trees (Abies lasiocarpa, Tsuga mertensiana) and samples of subfossil wood collected in the Todd Icefield area, Boundary Ranges, British Columbia Coast Mountains, provide the basis for a dendroglaciological and radiocarbon-based reconstruction of late Holocene glacier activity. Five intervals of glacier expansion were recorded by t

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Li, Hui, Ying Yang, Fenfen Xu, Tongxiang Liang, Herui Wen, and Wei Tian. "Pillararene-based supramolecular polymers." Chemical Communications 55, no. 3 (2019): 271–85. http://dx.doi.org/10.1039/c8cc08085b.

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The feature paper gives an overview of the preparation of pillararene-based supramolecular polymers and covers recent research advance and future trends of pillararene-based host–guest pairs, assembly methods, topological architectures, stimuli-responsiveness, and functional features.

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Berezin, Alexander. "Are Epigenetic Features Essential in Advance of Heart Failure Phenotypes?" Journal of Cardiology and Therapy 3, no. 4 (2016): 554–59. http://dx.doi.org/10.17554/j.issn.2309-6861.2016.03.118.

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Olick, Robert S. "Defining Features of Advance Directives in Law and Clinical Practice." Chest 141, no. 1 (2012): 232–38. http://dx.doi.org/10.1378/chest.11-1520.

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Morine, Melissa J., Cathal O'Brien, and Helen M. Roche. "Session 2: Personalised nutrition Transcriptomic signatures that have identified key features of metabolic syndrome." Proceedings of the Nutrition Society 67, no. 4 (2008): 395–403. http://dx.doi.org/10.1017/s0029665108008756.

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The Human Genome Project and rapid advances in high-throughput molecular technologies are providing an unprecedented opportunity to advance the understanding of the common polygenic diet-related diseases, including obesity, the metabolic syndrome, type 2 diabetes mellitus, CVD and some cancers. In particular, transcriptomic approaches that allow multiple simultaneous gene-expression profiles facilitate the characterisation of metabolic perturbations that underlie diet-related pathologies. The present paper will focus on ‘transcriptomic signatures’ to characterise and understand the molecular m

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Wang, Lixia, Yu Shi, Touseef Ahmad Qureshi, et al. "Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic Duct in Pre-Diagnostic CT Scans." Cancers 17, no. 11 (2025): 1886. https://doi.org/10.3390/cancers17111886.

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Background/Objectives: Pancreatic ductal adenocarcinoma (PDAC) prediction in high-risk individuals is essential for early detection and improved outcome. While prior studies have utilized pancreatic radiomics for PDAC prediction, the added value of main pancreatic duct (MPD) features remains unclear. This study aims to assess the additional value of features of the main pancreatic duct (MPD) for predicting PDAC occurrence across different timeframes in advance. Methods: In total, 321 contrast-enhanced CT scans of the MPD and pancreas carried out across control, pre-diagnostic, and diagnostic c

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Raoui, Younès, and Nouzha Elmennaoui. "Accurate Robot Navigation Using Visual Invariant Features and Dynamic Neural Fields." International Journal of Robotics and Control Systems 4, no. 4 (2024): 1584–601. https://doi.org/10.31763/ijrcs.v4i4.1545.

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Robot navigation systems are based on Simultaneous Localization and Mapping (SLAM) and obstacle avoidance. We construct maps for the robot using computer vision methods requiring high repeatability for consistent feature tracking. Also, the obstacle avoidance method needs an efficient tool for fusing data from multiple sensors. This research enhances SLAM accuracy and obstacle avoidance using advanced visual processing and dy namic neural fields (DNF). We propose two key methods: (1) an enhanced multiscale Harris detector using steerable filters for robust feature extrac tion, achieving around

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Huang, Yixiang, Lifu Zhang, Changping Huang, Wenchao Qi, and Ruoxi Song. "Parallel Spectral–Spatial Attention Network with Feature Redistribution Loss for Hyperspectral Change Detection." Remote Sensing 15, no. 1 (2022): 246. http://dx.doi.org/10.3390/rs15010246.

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Change detection methods using hyperspectral remote sensing can precisely identify differences of the same area at different observing times. However, due to massive spectral bands, current change detection methods are vulnerable to unrelatedspectral and spatial information in hyperspectral images with the stagewise calculation of attention maps. Besides, current change methods arrange hidden change features in a random distribution form, which cannot express a class-oriented discrimination in advance. Moreover, existent deep change methods have not fully considered the hierarchical features’

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Zhao, Xin, Wenqian Shen, and Guanjun Wang. "Early Prediction of Sepsis Based on Machine Learning Algorithm." Computational Intelligence and Neuroscience 2021 (October 12, 2021): 1–13. http://dx.doi.org/10.1155/2021/6522633.

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Sepsis is an organ failure disease caused by an infection resulting in extremely high mortality. Machine learning algorithms XGBoost and LightGBM are applied to construct two processing methods: mean processing method and feature generation method, aiming to predict early sepsis 6 hours in advance. The feature generation methods are constructed by combining different features, including statistical strength features, window features, and medical features. Miceforest multiple interpolation method is applied to tackle large missing data problems. Results show that the feature generation method o

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Zhao, Xin, Wenqian Shen, and Guanjun Wang. "Early Prediction of Sepsis Based on Machine Learning Algorithm." Computational Intelligence and Neuroscience 2021 (October 12, 2021): 1–13. http://dx.doi.org/10.1155/2021/6522633.

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Sepsis is an organ failure disease caused by an infection resulting in extremely high mortality. Machine learning algorithms XGBoost and LightGBM are applied to construct two processing methods: mean processing method and feature generation method, aiming to predict early sepsis 6 hours in advance. The feature generation methods are constructed by combining different features, including statistical strength features, window features, and medical features. Miceforest multiple interpolation method is applied to tackle large missing data problems. Results show that the feature generation method o

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Gerasimova, Larisa Nikolaevna. "Features of accounting for property taxes by institutions." Buhuchet v zdravoohranenii (Accounting in Healthcare), no. 7 (June 21, 2021): 32–43. http://dx.doi.org/10.33920/med-17-2107-04.

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The article analyzes the basic rules of taxation for land tax and property tax. It is considered how to report on property taxes. The cases of payment of land tax by institutions, tax bases with and without cadastral value are analyzed. The variants when the land plot occupies the territory of several municipalities, cases when accounting periods are established and not established by local legislation are considered. The calculation of land tax and advance payments on it, as well as their reflection in accounting, is shown. The rules for determining the composition of property that is conside

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Se, Haifeng, Lei Zhou, Shiming Xu, and Song Kai. "Selecting Sensitive Features Using CDET for Bearing Fault Diagnosis." Journal of Physics: Conference Series 2218, no. 1 (2022): 012063. http://dx.doi.org/10.1088/1742-6596/2218/1/012063.

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Abstract The rolling bearing fault detection technology solution can be used to maintain the machinery in advance and avoid downtime and safety accidents. However, the current studies primarily focus on utilizing complex algorithms to improve the accuracy of fault diagnosis, while neglecting the influence of extracted features on diagnosis results, resulting in redundancy and conflict among features. To address such an issue, a feature selection method based on compensation distance evaluation technique (CDET) is proposed to optimize the feature set extracted from acoustic emission (AE) signal

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Elsherbiny, Osama, Yangyang Fan, Lei Zhou, and Zhengjun Qiu. "Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data." Agriculture 11, no. 1 (2021): 51. http://dx.doi.org/10.3390/agriculture11010051.

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Estimation of the canopy water content (CWC) is extremely important for irrigation management decisions. Machine learning and hyperspectral imaging technology have provided a potentially useful tool for precise measurement of plant water content. The tools, however, are hampered by feature selection as well as an advanced model in itself. Therefore, this study aims to propose an efficient prediction model and compare three feature selection methods including vegetation indices (VI), model-based features (MF), and principal component analysis (PCA). The selected features were applied with a bac

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Elsherbiny, Osama, Yangyang Fan, Lei Zhou, and Zhengjun Qiu. "Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data." Agriculture 11, no. 1 (2021): 51. http://dx.doi.org/10.3390/agriculture11010051.

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Estimation of the canopy water content (CWC) is extremely important for irrigation management decisions. Machine learning and hyperspectral imaging technology have provided a potentially useful tool for precise measurement of plant water content. The tools, however, are hampered by feature selection as well as an advanced model in itself. Therefore, this study aims to propose an efficient prediction model and compare three feature selection methods including vegetation indices (VI), model-based features (MF), and principal component analysis (PCA). The selected features were applied with a bac

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Matsumoto, Kazuyuki, Reishi Amitani, Minoru Yoshida, and Kenji Kita. "Trend Prediction Based on Multi-Modal Affective Analysis from Social Networking Posts." Electronics 11, no. 21 (2022): 3431. http://dx.doi.org/10.3390/electronics11213431.

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This paper propose a method to predict the stage of buzz-trend generation by analyzing the emotional information posted on social networking services for multimodal information, such as posted text and attached images, based on the content of the posts. The proposed method can analyze the diffusion scale from various angles, using only the information at the time of posting, when predicting in advance and the information of time error, when used for posterior analysis. Specifically, tweets and reply tweets were converted into vectors using the BERT general-purpose language model that was train

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Mukhin, Mikhail I. "Education of the twenty first century: features of development." Perspectives of Science and Education 47, no. 5 (2020): 22–44. http://dx.doi.org/10.32744/pse.2020.5.2.

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Relevance. The modern world is special, unprecedented changes are taking place. At the same time, present-day education does not always meet the challenges of the new millennium. The foregoing has a negative impact on the rate of development of the society and the country as a whole. The problem of this study is to reveal the aspects associated with the rapid changes in the society and the World in general, and to determine the trajectory of educational development in the third millennium. The aim is to identify, generalize and interpret the ideas for building education in the 21st century, to

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Wang, Chuan. "Special Issue on Optimization and Flow Characteristics in Advanced Fluid Machinery." Machines 11, no. 7 (2023): 718. http://dx.doi.org/10.3390/machines11070718.

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This editorial discusses the importance of Advanced Fluid Machinery in the sustainable development of energy. Fluid machinery is crucial in many engineering applications, including aerospace, civil, mechanical, and chemical engineering. This Special Issue, entitled “Optimization and Flow Characteristics in Advanced Fluid Machinery”, features several research articles exploring flow characteristics and optimization in fluid mechanics. The authors present innovative ideas, methodologies, and techniques to advance the field of fluid mechanics. The papers cover a wide range of topics, including co

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Robichaud, Lye-Ann, Julie Felipe, Michel Duval, et al. "Quality-of-Life Assessment in Pediatric Advanced Cancer: Development of the Patient-Reported Outcome Measure Advance QoL." Current Oncology 31, no. 4 (2024): 2289–304. http://dx.doi.org/10.3390/curroncol31040170.

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A recent measure was developed to assess the Quality of Life (QoL) of young people with advanced cancer and is available for parents and professionals (Advance QoL). The present study aimed to elaborate self-reported versions for children and adolescents with advanced cancer. We adopted a four-phase research plan: (1) to elaborate the Advance QoL questionnaire for youth (8–12 and 13–18 years old) with a team of young research partners; (2) to evaluate the understandability of these versions in a sample of 12 young patients from the target population using cognitive interviews; (3) to assess so

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Nadeem, Hamza, Kashif Javed, Zain Nadeem, et al. "Road Feature Detection for Advance Driver Assistance System Using Deep Learning." Sensors 23, no. 9 (2023): 4466. http://dx.doi.org/10.3390/s23094466.

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Hundreds of people are injured or killed in road accidents. These accidents are caused by several intrinsic and extrinsic factors, including the attentiveness of the driver towards the road and its associated features. These features include approaching vehicles, pedestrians, and static fixtures, such as road lanes and traffic signs. If a driver is made aware of these features in a timely manner, a huge chunk of these accidents can be avoided. This study proposes a computer vision-based solution for detecting and recognizing traffic types and signs to help drivers pave the door for self-drivin

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LIST, JOHN A., ANYA SAMEK, and DANA L. SUSKIND. "Combining behavioral economics and field experiments to reimagine early childhood education." Behavioural Public Policy 2, no. 1 (2018): 1–21. http://dx.doi.org/10.1017/bpp.2017.6.

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AbstractBehavioral economics and field experiments within the social sciences have advanced well beyond academic curiosum. Governments around the globe as well as the most powerful firms in modern economies employ staffs of behavioralists and experimentalists to advance and test best practices. In this study, we combine behavioral economics with field experiments to reimagine a new model of early childhood education. Our approach has three distinct features. First, by focusing public policy dollars on prevention rather than remediation, we call for much earlier educational programs than curren

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Rai, Manish, Rekha Pandit, and Vineet Richhariya. "A Feature Selection process Optimization in multi-class Miner for Stream Data Classification." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, no. 3 (2012): 359–64. http://dx.doi.org/10.24297/ijct.v3i3a.2939.

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Multi-class miner resolves the problem of feature evaluation, data drift and concept evaluation of stream data classification. The process of stream data classification in multi-class miner based on ensemble technique of clustering and classification on feature evaluation technique. The process of feature evaluation technique faced a problem of correct point selection of cluster centre for the process of data grouping. For the proper selection of features point we used optimization technique for feature selection process. The feature selection process based on advance genetic algorithm (AGA).

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Osborn, G. D., B. J. Robinson, and B. H. Luckman. "Holocene and latest Pleistocene fluctuations of Stutfield Glacier, Canadian Rockies." Canadian Journal of Earth Sciences 38, no. 8 (2001): 1141–55. http://dx.doi.org/10.1139/e01-012.

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The Holocene and late glacial history of fluctuations of Stutfield Glacier are reconstructed using moraine stratigraphy, tephrochronology, and dendroglaciology. Stratigraphic sections in the lateral moraines contain tills from at least three glacier advances separated by volcanic tephras and paleosols. The oldest, pre-Mazama till is correlated with the Crowfoot Advance (dated elsewhere to be Younger Dryas equivalent). A Neoglacial till is found between the Mazama tephra and a paleosol developed on the Bridge River tephra. A log dating 2400 BP from the upper part of this till indicates that thi

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Snehangshu, Barmon, Halder Debangshu, Ranjan Astosh, Bista Yogesh, Shetty PB., and Kumar GL Arun. "INDUSTRY 4.0 INDIUM GALLIUM NITRIDE DIODE LASER ENGRAVER." International Journal of Research in Aeronautical and Mechanical Engineering 9, no. 7 (2021): 20–27. https://doi.org/10.5281/zenodo.5138010.

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Laser engraving is an advanced technology in material processing that involves removal of material layer by layer. The aim of this research paper is to obtain digitally designed patterns and pictures on materials using InGaN (indium gallium nitride) laser module and to measure certain characteristic features of this advance laser technology. A novel tabletop CNC laser milling machine is specially built up to for using the laser engraving. The time taken to complete the engraving operation is measured using different techniques for different resolution in the design. The adaption of internet of

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Velázquez-González, Josue R., Hayde Peregrina-Barreto, Jose J. Rangel-Magdaleno, Juan M. Ramirez-Cortes, and Juan P. Amezquita-Sanchez. "ECG-Based Identification of Sudden Cardiac Death through Sparse Representations." Sensors 21, no. 22 (2021): 7666. http://dx.doi.org/10.3390/s21227666.

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Sudden Cardiac Death (SCD) is an unexpected sudden death due to a loss of heart function and represents more than 50% of the deaths from cardiovascular diseases. Since cardiovascular problems change the features in the electrical signal of the heart, if significant changes are found with respect to a reference signal (healthy), then it is possible to indicate in advance a possible SCD occurrence. This work proposes SCD identification using Electrocardiogram (ECG) signals and a sparse representation technique. Moreover, the use of fixed feature ranking is avoided by considering a dictionary as

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Zhao, Yanchun, Jiapeng Zhang, Rui Duan, Fusheng Li, and Huanlong Zhang. "Lightweight Target-Aware Attention Learning Network-Based Target Tracking Method." Mathematics 10, no. 13 (2022): 2299. http://dx.doi.org/10.3390/math10132299.

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Siamese network trackers based on pre-trained depth features have achieved good performance in recent years. However, the pre-trained depth features are trained in advance on large-scale datasets, which contain feature information of a large number of objects. There may be a pair of interference and redundant information for a single tracking target. To learn a more accurate target feature information, this paper proposes a lightweight target-aware attention learning network to learn the most effective channel features of the target online. The lightweight network uses a designed attention lea

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Björkman, Maria. "“Educated, Cultured Men”. Features of Urological Masculinity." Fabriquer les masculinités 25 (2024): 43–59. http://dx.doi.org/10.4000/1217c.

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This article provides an example of the historical production of medical masculinity via a case study of medical practitioners in early 20th century North America within the nascent specialty of urology. By using the analytical concept of “repertoire”, it is argued that this urological masculinity was produced to advance the position of the emerging specialty and simultaneously differentiate it in the eyes of other medical practitioners, as well as to distinguish urologists from their male patients with venereal disease.

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Montazeri-Gh, M., A. Fotouhi, and A. Naderpour. "Driving patterns clustering based on driving features analysis." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225, no. 6 (2011): 1301–17. http://dx.doi.org/10.1177/2041298310392599.

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This article presents driving features analysis in order to determine superior driving features for driving conditions clustering. At first, data gathering is performed in real traffic conditions using advance vehicle location systems. Then driving data segmentation is performed and 21 driving features are defined for each driving segment. After driving feature extraction, the dependency between driving features is investigated. Influence of driving features on vehicle's fuel consumption and exhaust emissions is then studied using computer simulations. The simulation results are then verified

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Li, Mengyao. "The Advance of Ethereum Digital Signature." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 1159–63. http://dx.doi.org/10.54097/hset.v39i.6723.

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Ethereum digital signatures have been found to make progress, but there has yet to be a consensus regarding their significance and process. Using digital signatures in Ethereum ensures the security of users' money and the Safety of their transportation. Elliptic Curve Digital Signature Algorithm (ECDSA), private key, and public key play an important role here. This paper analyzes the details of Ethereum's Digital Signature based on existing information. First, it explained the general background information about Ethereum. Send explain the ERC-20. ERC-20 are digital assets that represent value

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Bagul, Harshada, Vasim Pathan, and Anil Jadhav. "Emulgel - A Novel Advance for Skin Disease." Asian Pacific Journal of Health Sciences 9, no. 2 (2022): 155–61. http://dx.doi.org/10.21276/apjhs.2022.9.2.31.

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A topically applied drug delivery system is used for the direct approach of drugs into the general circulation of the skin. There are many dosage forms to treat dermatological diseases. In that emulgels are recent attention to the scientist, because it has features of both gel and emulsion control release drug delivery system. When gel and emulsion get homogenized together that term is mentioned as emulgel. It is incorporated as a current novel drug delivery system used for topical drug delivery. Emulgels have dual control release mechanism because of the combined features of gel and emulsion.

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Mocke, Viola, Lisa Weller, Christian Frings, Klaus Rothermund, and Wilfried Kunde. "Task relevance determines binding of effect features in action planning." Attention, Perception, & Psychophysics 82, no. 8 (2020): 3811–31. http://dx.doi.org/10.3758/s13414-020-02123-x.

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Abstract Action planning can be construed as the temporary binding of features of perceptual action effects. While previous research demonstrated binding for task-relevant, body-related effect features, the role of task-irrelevant or environment-related effect features in action planning is less clear. Here, we studied whether task-relevance or body-relatedness determines feature binding in action planning. Participants planned an action A, but before executing it initiated an intermediate action B. Each action relied on a body-related effect feature (index vs. middle finger movement) and an e

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Zhu, Songbai, Guolai Yang, Sumian Song, Ruilong Du, and Haihui Yuan. "Joint-Module Health Status Recognition for an Unmanned Platform: A Time–Frequency Representation and Extraction Network-Based Approach." Machines 12, no. 1 (2024): 79. http://dx.doi.org/10.3390/machines12010079.

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Due to the complex structure of the joint module and harsh working conditions of unmanned platforms, the fault information is often overwhelmed by noise. Moreover, traditional mechanical health state recognition methods usually require a large amount of labeled data in advance, which is difficult to obtain for specific fault data in engineering applications. This limited amount of fault data restricts the diagnostic performance. Additionally, the characteristics of convolutional neural networks (CNNs) limit their ability to capture the relative positional information of fault features. In orde

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Akeel Hussein Alaasam, Hussein, Ahmed Ali Talib Al-Khazaali, Ali Hussein Aleiwi, and Doaa Wahhab Ibrahim. "Learn Land Features Using Python Language." BIO Web of Conferences 97 (2024): 00111. http://dx.doi.org/10.1051/bioconf/20249700111.

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Python has emerged as an essential programming language for research due to continuous technological advancements that emphasize its role in streamlining scientific workflows. This article elucidates Python's burgeoning impact on researchers across disciplines. Tracing Python's origins and applications within the earth sciences contextualizes its versatility. While acquiring proficiency in Python exceeds this article's scope, discussions detail its utilities for earth science data analysis, visualization, management, and rapid computations. With Python expertise, researchers can engineer custo

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Shivangi Samajpati and Dr. Sheshang Degadwala. "Enhancing Multiple-Ocular Disease Using Advance Attention Mechanisms in Deep Learning." International Journal of Scientific Research in Science and Technology 12, no. 3 (2025): 417–23. https://doi.org/10.32628/ijsrst2512357.

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The accurate classification of multiple ocular diseases remains a crucial challenge in medical imaging, particularly due to overlapping visual features and limited annotated data. This study proposes a deep learning framework that integrates advanced attention mechanisms to enhance the discrimination of ocular disease features from fundus images. Leveraging a hybrid deep neural network architecture consisting of 82 layers, the model introduces a dual-channel attention module that captures both global and local contexts to improve class-specific feature learning. The system was trained and eval

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Liu, Junchi, Xiang Zhang, and Zhigang Luo. "TransConv: Transformer Meets Contextual Convolution for Unsupervised Domain Adaptation." Entropy 26, no. 6 (2024): 469. http://dx.doi.org/10.3390/e26060469.

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Unsupervised domain adaptation (UDA) aims to reapply the classifier to be ever-trained on a labeled source domain to a related unlabeled target domain. Recent progress in this line has evolved with the advance of network architectures from convolutional neural networks (CNNs) to transformers or both hybrids. However, this advance has to pay the cost of high computational overheads or complex training processes. In this paper, we propose an efficient alternative hybrid architecture by marrying transformer to contextual convolution (TransConv) to solve UDA tasks. Different from previous transfor

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Akinsunmade, Akinniyi, Sylwia Tomecka-Suchoń, and Paweł Pysz. "Complex analysis of GPR signalsfor the delineation of subsurface subtle features." Geology, Geophysics and Environment 45, no. 4 (2020): 257. http://dx.doi.org/10.7494/geol.2019.45.4.257.

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In this paper, complex signal analyses of ground penetrating radar (GPR) field data over an area of farmland in Krakow were interpreted alongside the basic filtered field data. The farmland was simulated with var-ying degrees of soil compaction induced by tractor movement. The focus of the study was the delineation of in-herent characteristics of media through which the electromagnetic energy travelled. Fourteen GPR profiles were acquired from the area. The field data were subjected to pre- and post-processing prior to its the presentation and interpretation. Advance analysis operations on the

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Manushina, A., A. Pushkina, and I. Pushkina. "Advance payments in customs authorities as customs costs reducing in bussines." Bulletin of Science and Practice 4, no. 7 (2018): 361–65. https://doi.org/10.5281/zenodo.1312265.

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International economic integration supposes trade growth and simplification. Customs costs reducing influence economic relationship development. In the article features of advance payments transfer in customs authorities were studied. On the basis of advance payments transfer in the federal budget, there were developed the problems and the applying ways of improvement of the modern advance payments system within the framework of Customs Code of the Eurasian economic union.

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Mamazhonova, Intizor Turdimatovna. "FEATURES OF THE PERFORMANCE OF NOTARIAL ACTS IN INTERNATIONAL CIRCULATION." CURRENT RESEARCH JOURNAL OF HISTORY 02, no. 05 (2021): 9–13. http://dx.doi.org/10.37547/history-crjh-02-05-03.

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Among the law enforcement agencies of our country, the state notary is of great importance. Notarial actions effectively ensure the protection and protection of indisputable rights and interests in the event that these actions are performed in accordance with the rules established in advance by law. Documents drawn up abroad with the participation of officials of the competent authorities of other states or outgoing from them are accepted by a notary, subject to their legalization by the body of the Ministry of Foreign Affairs of the Republic of Uzbekistan. Without legalization, such documents

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Fu, Youjia, Huixia Xue, Junsong Fu, and Zihao Xu. "E-DNet: An End-to-End Dual-Branch Network for Driver Steering Intention Detection." Electronics 13, no. 13 (2024): 2477. http://dx.doi.org/10.3390/electronics13132477.

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An advanced driving assistant system (ADAS) is critical for improving traffic efficiency and ensuring driving safety. By anticipating the driver’s steering intentions in advance, the system can alert the driver in time to avoid a vehicle collision. This paper proposes a novel end-to-end dual-branch network (EDNet) that utilizes both in-cabin and out-of-cabin data. In this study, we designed an in-cabin driver intent feature extractor based on 3D residual networks and atrous convolution, which is applicable to video data and is capable of capturing a larger range of driver behavior. In order to

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Chin, Fung Yuen, and Yong Kheng Goh. "Boosting Cancer Dataset Performance with Mutual Information-Based Feature Prioritization." Journal of Statistical Modelling and Analytics 6, no. 1 (2024): 22–37. http://dx.doi.org/10.22452/josma.vol6no1.2.

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In the field of statistical modelling, mutual information is a crucial and common concept, suitable for tasks such as selecting the most important features or classifying data into different categories. Feature selection addresses the challenge of high-dimensional data in building effective predictive models by identifying relevant attributes while mitigating the curse of dimensionality. Previous studies have benchmarked the effectiveness of statistical models against established results. To enhance this, a new benchmark method is proposed, exploiting ranking features via mutual information sc

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Kartina, Linda, Purwaka Purwaka, and Fransiska Timoria Samosir. "Efektivitas Sistem Temu Kembali Informasi Online Public Catalog (OPAC) Dengan Tinjauan Precision Menggunakan Pendekatan Judul Dan Subjek Di Perpustakaan Universitas Muhammadiyah Bengkulu." Pustakaloka 11, no. 2 (2019): 163–78. http://dx.doi.org/10.21154/pustakaloka.v11i2.1697.

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Library as a centre for information resources is the backbone of the progress of an educational institution. Imbalance between the use of information retrieval system facilities advance search and a quick search of the catalogue are very common in a search. This study was aimed to know and to describe how the precision of information retrieval system by using title field and subject on OPAC (Online Public Access Catalog) ) at Muhammaddiyah University Library of Bengkulu is effective as an information retrieval system. This study was a quantitative descriptive study using analytical methods. Th

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Takase, Bonpei. "Features: Recent advance in non-invasive diagnostic modality for coronary artery disease." Journal of the Japanese Coronary Association 20, no. 2 (2014): 126. http://dx.doi.org/10.7793/jcoron.20.011.

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