Enhancing Camera Source Identification: A Rapid Algorithm with Enhanced Discriminative Power by Zhimao Lai, Lijuan Cheng, Renhai Feng

“…This paper addresses the issues in digital image source identification by proposing a rapid fingerprint search algorithm based on global information. The algorithm innovatively introduces a search priority queue (SPQ), which analyzes the global correlation between the query fingerprint and all reference fingerprints in the database to construct a comprehensive priority ranking, thereby achieving the efficient retrieval of matching fingerprints. …”
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Deciphering the impact of sepsis phenotypes on improving clinical outcome predictions: a multicenter retrospective analysis based on critical care in China by Luyao Zhou, Weimin Zhang, Min Shao, Cui Wang, Yu Wang

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RESEARCH OF MODES OF GAS-FLUID FLOWS MOTION APPLICABLE TO THE CONDITIONS OF FLOODING GAS WELLS OPERATION by R. A. Gasumov, E. R. Gasumov

“…Materials and methods of the research: a method for nodal analysis for studying laws of gas-liquid low behavior in gas wells vertical lift pipes is described, based on the ratios used in calculating the pressure loss in a two-phase flow (in the "reservoir-well" system). …”
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Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems bi... by M. R. P. De Silva, J. W. J. K. Weeraman, S. Piyatissa, P. C. Fernando

“…Using a list of known seed development proteins from the Gene Ontology (GO) knowledgebase and literature, novel candidate proteins for seed development were predicted using an ensemble of network-based algorithms, including Majority Voting, Hishigaki Algorithm, Functional Flow, and Random Walk with Restart, which were selected based on their popularity and usability. …”
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Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South China Sea by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

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DEVELOPMENT AND TESTING OF ALGORITHM FOR CALCULATION OF OPERATING PARAMETERS OF TRAWLING SYSTEMS by E. A. Zakharov, O. N. Kruchinin, D. L. Shabelsky

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Research on a dynamic self-learning efficient intrusion detection model by YANG Wu1, ZHANG Bing2, ZHOU Yuan2, WANG Wei1

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Flood-prone area mapping using a synergistic approach with swarm intelligence and gradient boosting algorithms by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Sani I. Abba, Jamil Hussain, Soo-Mi Choi

“…Abstract Accurate flood susceptibility mapping (FSM) is a control approach to flood management. This research introduces a novel approach to increase the accuracy of FSM by optimizing the CatBoost algorithm with two swarm-based metaheuristic algorithms: the Zebra optimization algorithm (ZOA) and the Whale optimization algorithm (WOA). …”
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Research on Non-Probabilistic Reliability Partitioning Methods for Large Workspace Robots by Jianping Sun, Weian Yang, Xin Meng, Jun Peng, Zhaoping Tang

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A hybrid recommendation system for Chinese character components using a dual-tower neural network and a deterministic algorithm by Shaoqing Yang

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Empirical research on the diffusion effect of ICT innovation diffusion and prediction in China by Wenyu HU, Wenju WANG

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Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on DRSN–GCE Model by Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Jiaming Chen, Xuelian Yu

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Research on Energy-Saving Optimization Control Strategy for Distributed Hub Motor-Driven Vehicles by Bin Huang, Jinyu Wei, Minrui Ma, Xu Yang

“…Aiming at the problems of energy utilization efficiency and braking stability in electric vehicles, a high-efficiency and energy-saving control strategy that takes both driving and braking into account is proposed with the distributed hub motor-driven vehicle as the research object. Under regular driving and braking conditions, the front and rear axle torque distribution coefficients are optimized by an adaptive particle swarm algorithm based on simulated annealing and a multi-objective co-optimization strategy based on variable weight coefficients, respectively. …”
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Research on the method of weight calculation and equipment arrangement optimization of tramcar by DUAN Huadong, LIU Xiaofeng, JIANG Zhongcheng, ZHANG Bo

“…Based on Isight optimization platform, multi-objective optimization algorithm was adopted to improve the equipment layout. …”
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A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications by Yumin Zhang, Yanyong Wang

“…Especially for human action recognition based on RGB-D data, a promising research direction, there has been a number of researchers to work on. …”
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Performance of Ground-Based Solar-Induced Chlorophyll Fluorescence Retrieval Algorithms at the Water Vapor Absorption Band by Yongqi Zhang, Xinjie Liu, Shanshan Du, Mengjia Qi, Xia Jing, Liangyun Liu

“…At the same time, our study also shows that the water vapor band offers higher accuracy in ground-based SIF retrieval compared to the O₂-B band, demonstrating strong application potential and providing valuable references for selecting SIF retrieval algorithms.…”
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Smart Tool-Related Faults Monitoring System Using Process Simulation-Based Machine Learning Algorithms by Arash Ebrahimi Araghizad, Faraz Tehranizadeh, Kemal Kilic, Erhan Budak

“…In this paper a novel approach for monitoring tool-related faults in milling processes by utilizing process simulation-based machine learning algorithms, specifically Random Forest algorithms, for fault detection is presented. …”
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DRLAttack: A Deep Reinforcement Learning-Based Framework for Data Poisoning Attack on Collaborative Filtering Algorithms by Jiaxin Fan, Mohan Li, Yanbin Sun, Peng Chen

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Clinical Validation of a Program for Diagnosing Vision-Threatening Diabetic Retinopathy Based on Automatic Segmentation Algorithms by G. M. Gabaraev, E. N. Ponomareva, I. A. Loskutov, E. A. Katalevskaya, M. R. Khabazova

“…The DR diagnostic program based on adaptive segmentation algorithms is a tool for solving the DR screening problem.…”
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Reducing Execution Time of Pixel-Based Machine Learning Classification Algorithms Using Parallel Processing Concept by Aliaa Mahmoud, Mohammed Younis

“…Which contributes to significant improvements in performance and time efficiency. This research demonstrated the impact of parallel processing on the performance and time efficiency of machine learning for pixel-based image classification techniques. …”
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