Effective Parallel Computing via a Free Stale Synchronous Parallel Strategy by Hang Shi, Yue Zhao, Bofeng Zhang, Kenji Yoshigoe, Furong Chang

“…Some nodes with poor performance will drag down the efficiency of the whole system. Existing parallel computing strategies such as bulk synchronous parallel strategy and stale synchronous parallel strategy are not well suited to this problem. …”
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Facial Landmark-Driven Keypoint Feature Extraction for Robust Facial Expression Recognition by Jaehyun So, Youngjoon Han

“…In particular, the use of face alignment algorithms as a preprocessing step in image-based FER is important for accurately normalizing face images in terms of scale, rotation, and translation to improve FER accuracy. …”
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Network-based diversification of stock and cryptocurrency portfolios by Dimitar Kitanovski, Igor Mishkovski, Viktor Stojkoski, Miroslav Mirchev

“…The Louvain and Affinity propagation algorithms were employed for finding the network communities (clusters) based on annual data. …”
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Digital technologies are the basis of digital economy of civil aviation airport refueling complexes by A. A. Brailko, O. V. Gromov, L. A. Druzhinin

“…The article examines the elements of creating a "Smart Refueling Complex", in which intelligent business processes are combined into one whole due to the use of "smart" operational processes and technological equipment. …”
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Secure K-Means Clustering Scheme for Confidential Data Based on Paillier Cryptosystem by Zhengqi Zhang, Zixin Xiong, Jun Ye

“…These include optimizing the computational efficiency of the protocol, exploring other homomorphic encryption schemes that may provide better performance, and extending the protocol to handle more complex clustering algorithms.…”
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High-throughput image-based monitoring of cell aggregation and microspheroid formation. by Thomas Deckers, Toon Lambrechts, Stefano Viazzi, Gabriella Nilsson Hall, Ioannis Papantoniou, Veerle Bloemen, Jean-Marie Aerts

“…Studies on monolayer cultures and whole-animal models for the prediction of the response of native human tissue are associated with limitations. …”
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Data-driven modelling of a commercial cold storage system using subspace system identification by Adesola Temitope Bankole, Muhammed Bashir Mu’azu, Habeeb Bello-Salau, Zaharuddeen Haruna

“…The proposed model presents a holistic view of the whole system with each subsystem cohesively linked together. …”
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Learning-Based Multi-Stage Formation Scheduling with a Hybrid Controller by Zhichao Zhang, Yao Li

“…However, most of the literature only considers the formation process as a whole, while overlooking the discrepancies in the formation process at different time stages. …”
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A rapid, affordable, and reliable method for profiling microbiome biomarkers from fecal images by Donghyeok Lee, Annemiek Maaskant, Huy Ngo, Roy C. Montijn, Jaco Bakker, Jan A.M. Langermans, Evgeni Levin

“…Tailor-made learning algorithms were created by integrating digital images of fecal samples with corresponding whole-genome sequenced microbial profiles. …”
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Construction of Analogy Indicator System and Machine-Learning-Based Optimization of Analogy Methods for Oilfield Development Projects by Muzhen Zhang, Zhanxiang Lei, Chengyun Yan, Baoquan Zeng, Fei Huang, Tailai Qu, Bin Wang, Li Fu

“…This process results in 26 key indicators for practical analogy analysis. Single-indicator and whole-asset analogy experiments are then performed with five standard machine-learning algorithms—support vector machine (SVM), random forest (RF), backpropagation neural network (BP), k-nearest neighbor (KNN), and decision tree (DT). …”
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Carbonate Seismic Facies Analysis in Reservoir Characterization: A Machine Learning Approach with Integration of Reservoir Mineralogy and Porosity by Papa Owusu, Abdelmoneam Raef, Essam Sharaf

“…To this end, this study utilizes an unsupervised comparative hierarchical and K-means ML classification of the whole 3D seismic data spectrum and a suite of spectral bands to overcome the cluster “facies” number uncertainty in ML data partition algorithms. …”
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Copy number variation in familial Parkinson disease. by Nathan Pankratz, Alexandra Dumitriu, Kurt N Hetrick, Mei Sun, Jeanne C Latourelle, Jemma B Wilk, Cheryl Halter, Kimberly F Doheny, James F Gusella, William C Nichols, Richard H Myers, Tatiana Foroud, Anita L DeStefano, PSG-PROGENI and GenePD Investigators, Coordinators and Molecular Genetic Laboratories

“…However, there was consistent evidence with both algorithms for two novel genes, USP32 and DOCK5 (empirical, genome-wide p-values<0.001). …”
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Sampled-data control through model-free reinforcement learning with effective experience replay by Bo Xiao, H.K. Lam, Xiaojie Su, Ziwei Wang, Frank P.-W. Lo, Shihong Chen, Eric Yeatman

“…Reinforcement Learning (RL) based control algorithms can learn the control strategies for nonlinear and uncertain environment during interacting with it. …”
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Security defense technology of power grid dispatching automation system based on hierarchical protection by ZHU Wen, HU Yaping, NIE Yongquan, JIANG Wei, XIE Hu

“…By setting up an experimental environment and conducting experimental comparisons with other algorithms, the results show that the proposed method has a very ideal security defense effect and can defend against three different types of attacks at the same time.…”
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3D Jones-matrix thesiography of biological fluid facies by Alexander Ushenko, Iryna Soltys, Alexander Dubolazov, Yuriy Ushenko, Viacheslav Bilookyi, Olexander Bilookyi, Olexandra Litvinenko, Ivan Mikirin, Jun Zheng, Zhebo Chen, Lin Bin

“…An original model of layered phase scanning of polycrystalline architectonics of supramolecular networks of biological fluid facies is proposed for the purpose of theoretical justification and prognostic use of the obtained results. On its basis, algorithms of Jones-matrix reconstruction of thesiograms of birefringence and dichroism of facies of synovial fluid, bile and blood are found. …”
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A Flow-Speed Model for Motorways in England: Analysis Under Various Weather Conditions by Ye Liu, Haibo Chen, Chuhan Yin, Vivi Michalaki, Phillip Proctor, Gavin Rowley, Xiaowei Wang, Hongyuan Wei

“…The proposed model had a better performance compared with the existing classic models. A whole year’s field data on various sites of the M25 motorway were collected by the National Highways MIDAS (Motorway Incident Detection and Automatic Signalling) system and analysed. …”
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A comprehensive review of artificial intelligence approaches for smart grid integration and optimization by Malik Ali Judge, Vincenzo Franzitta, Domenico Curto, Andrea Guercio, Giansalvo Cirrincione, Hasan Ali Khattak

“…This amalgamation may bring a power mismatch dilemma due to intermittent renewable energy production and nonlinear energy consumption patterns which can affect the whole system’s reliability and operational efficiency. …”
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Improving accuracy of self-reported diagnoses of rheumatoid arthritis in the French prospective E3N-EPIC cohort: a validation study by Marie-Christine Boutron-Ruault, Yann Nguyen, Carine Salliot, Gaëlle Gusto, Elise Descamps

“…Medical records were independently reviewed.Primary and secondary outcome measures Positive predictive values (PPV) of self-reported RA alone, then coupled with the IRD questionnaire, and with a medication reimbursement database were assessed. These algorithms were then applied to the whole cohort to ascertain RA cases.Results Of the 98 995 participants, 2692 self-reported RA. …”
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Wearable sensor-based fall detection for elderly care using ensemble machine learning techniques by Ch Gangadhar, P Pavithra Roy, R. Dinesh Kumar, Janjhyam Venkata Naga Ramesh, S. Ravikanth, N. Akhila

“…The suggested strategy outperformed modern fall identification techniques when tested using the labeled KFall database, achieving average precision of 95 percent, 96 percent, as well as 98 percent for Non-Falls, Pre-Falls, as well as detectable fall incidents, correspondingly. The whole assessment proved the algorithmic learning structure's efficacy. …”
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Feature Selection and Hyper-parameter Tuning Technique using Neural Network for Stock Market Prediction by Karanveer Singh, Rahul Tiwari, Prashant Johri, Ahmed A. Elngar

“…The conjecture of stock exchange is the demonstration of attempting to decide the forecast estimation of a particular sector or the market, or the market as a whole. Every stock every investor needs to foresee the future evaluation of stocks, so a predicted forecast of a stock’s future cost could return enormous benefit. …”
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