Novel barrier-reinforcing method based on mobile nodes re-deployment in WSN by Guoyong DAI, Weiyuan SHI, Kezhen YING, Qingzhang CHEN, Keji MAO

“…Barrier coverage in wireless sensor networks plays a key role in intrusion detection system.How to build a robust barrier is a key problem in this research area.In order to fix the weak points caused by nodes’ energy consumption,a reinforcing method was proposed to strengthen the barrier by re-deploying some mobile nodes,in which set-based max-flow algorithm was employed to calculate the number of weak points.The vulnerability degree of each weak point was analyzed so that the mobile nodes can move to these spots to reinforce the whole barrier.Experiment results show that the algorithm can effectively strengthen the barrier,extend the survival time of the barrier and the algorithm complexity is relatively lower.…”
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Reinforcement learning algorithm for improving speed response of a five-phase permanent magnet synchronous motor based model predictive control. by Ahmed M Hassan, Jafar Ababneh, Hani Attar, Tamer Shamseldin, Ahmed Abdelbaset, Mohamed Eladly Metwally

“…This paper proposes a new reinforcement learning (RL) control algorithm based twin-delayed deep deterministic policy gradient (TD3) algorithm to tune two cascaded PI controllers in a five-phase interior permanent magnet synchronous motor (5ph-IPMSM) drive system based model predictive control (MPC). …”
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A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System by Selvaraj S. P., Thiyagarajan R., Rajavenkatesan T

“…The controller parameters are tuned using flamingo search optimization algorithm (FSA) based on minimum mean square error (MSE). …”
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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study by Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

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Targeted Detection of 76 Carnitine Indicators Combined with a Machine Learning Algorithm Based on HPLC-MS/MS in the Diagnosis of Rheumatoid Arthritis by Rui Zhang, Juan Wang, Xiaonan Zhai, Yuanbing Guo, Lei Zhou, Xiaoyan Hao, Liu Yang, Ruiqing Xing, Juanjuan Hu, Jiawei Gao, Fengjuan Wang, Jun Yang, Jiayun Liu

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Predicting Running Vertical Ground Reaction Forces Using Neural Network Models Based on an IMU Sensor by Shangxiao Li, Jiahui Pan, Dongmei Wang, Shufang Yuan, Jin Yang, Weiya Hao

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KO algorithm-based bi-level optimal scheduling of electricity-carbon-hydrogen coupling systems with flexible resources for renewable energy integration by Jing Liu, Zicheng Guo, Yalong Li

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Simulation study on the urban-rural integration circulatory mechanism system in China: Based on system dynamics model and multi-objective genetic algorithm by Gaoyang Liang, Mingqiang Xing, Jianqiang Zhao

“…To bridge this gap, this study constructs a “Theoretical Model of the Urban-Rural Integration Circulatory Mechanism” based on three core driving forces—market circulation, public service circulation, and information technology circulation—by reviewing relevant literature and clarifying the roles and interrelationships of these factors in economic, social, spatial, ecological, and population integration. …”
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Research on Abstraction-Based Search Space Partitioning and Solving Satisfiability Problems by Yuexin Huang, Qinzhou Niu, Yanfang Song

“…By introducing an abstraction method for partitioning the search space—distinct from traditional assignment-based approaches—the paper proposes sequential, parallel, and hybrid solving algorithms. …”
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Evaluation of Water Resources Carrying Capacity in Heilongjiang Province Based on PSO-SVM Model by WANG Tao, LI Zhijun

“…The problem of water resources has triggered a global crisis.With the rapid development of the social economy,the rapid increase in population,and the acceleration of modernization and urbanization,the demand for water in various industries is gradually increasing,and the problems of water shortage and water waste are becoming serious.Heilongjiang Province is an important industrial base and a major grain-producing province in China.With the rapid development of the economy and society,the contradiction between the supply and demand of water resources has become increasingly prominent.Although many measures have been taken to protect water resources in Heilongjiang Province,the development and utilization situation of water resources is still severe.In view of the above problems,this paper established a support vector machine (SVM) model optimized by particle swarm optimization (PSO) algorithm to evaluate the water resources carrying capacity in Heilongjiang Province.Based on the actual situation of Heilongjiang Province,an evaluation index system and index grading standards were established to evaluate the water resources carrying capacity of 13 cities in Heilongjiang Province in 2020.It thus provides a reference for the development and utilization of water resources in the future and plays a certain role in the application and promotion of SVM in water resources.The PSO-SVM model complements the theory of multi-factor comprehensive evaluation.…”
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A Classification-Based Blood–Brain Barrier Model: A Comparative Approach by Ralph Saber, Sandy Rihana

“…Most existing models rely on molecular descriptors to characterize drug properties. Feature selection algorithms play a crucial role in identifying the most relevant descriptors, thereby enhancing prediction accuracy. …”
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Advanced Adaptive Rule-Based Energy Management for Hybrid Energy Storage Systems (HESSs) to Enhance the Driving Range of Electric Vehicles by Chew Kuew Wai, Taha Sadeq, Lee Cheun Hau

“…This study proposes a new energy management strategy for the HESS, an advanced adaptive rule-based algorithm. The results of the standard rule-based and adaptive rule-based algorithms are used to verify the proposed control algorithm. …”
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Implantation of an Artificial Intelligence Denoising Algorithm Using SubtlePET™ with Various Radiotracers: 18F-FDG, 68Ga PSMA-11 and 18F-FDOPA, Impact on the Technologist Radiation... by Jules Zhang-Yin, Octavian Dragusin, Paul Jonard, Christian Picard, Justine Grangeret, Christopher Bonnier, Philippe P. Leveque, Joel Aerts, Olivier Schaeffer

“…This study assesses the clinical deployment of SubtlePET™, a commercial AI-based denoising algorithm, across three radiotracers—¹⁸F-FDG, ⁶⁸Ga-PSMA-11, and ¹⁸F-FDOPA—with the goal of improving image quality while reducing injected activity, technologist radiation exposure, and scan time. …”
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A Pattern‐Based Machine Learning Model for Imputing Missing Records in Coastal Wind Observation Networks by Nan‐Jing Wu, Tai‐Wen Hsu, Ting‐Chieh Lin

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Polymer Waveguide-Based Crossing Waveguides and Adiabatic-Tapered Directional Couplers for Fiber Compatible Optical Interconnect by Xiaofeng Liu, Quandong Huang, Bin Xiao, Quankeng Huang, Jiaqi Ran, Zhanxiong Qiu, Shijie Liang, Qingming Chen, Wenchao Jiang, Zhaoqiang Zheng, Xinyong Dong, Slawomir Ertman, Yuwen Qin

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FCC algorithm for power loss diminution by Kanagasabai L.

“…The proposed FCC algorithm has been modeled based on the competition, communication among teams, and training procedure within the team. …”
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Crowdsourcing Evaluation of Video Summarization Algorithm by Avrajyoti Dutta, Dawid Juszka, Mikołaj Leszczuk

“…The findings of the assessment showed that specific characteristics of a video such as its length, complexity, and content, play a major role in improving the performance of the summarization algorithm. …”
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Effective Algorithm for Biomedical Image Segmentation by Zhao Di, Tang Yi, A. B. Gourinovitch

“…Biomedical image segmentation plays an important role in quantitative analysis, clinical diagnosis, and  medical manipulation. …”
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A Vehicle Ride-Sharing Algorithm Assessing Passenger Satisfaction According to Spatial, Temporal, and Social Behavior Context Based on Real Data Sources by Theodoros Anagnostopoulos, Samson Rani Jino Ramson

“…Real data sources were exploited to evaluate certain spatial, temporal, and social matching distance functions, which define specific spatial, temporal, and social matching similarity thresholds of passengers’ social mobility behavior. The proposed algorithm is evaluated experimentally with real data based on specific evaluation metrics assessing its efficiency with regards to certain spatial, temporal, social, capacity, and satisfaction contexts. …”
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Architecture and implementation of ulrb algorithm in R by Francisco Pascoal, Rodrigo Costa, Luís Torgo, Catarina Magalhães, Paula Branco

“…To solve this problem, we have proposed the utilization of unsupervised machine learning, through the ulrb (“Unsupervised Learning Definition of the Microbial Rare Biosphere”) algorithm, implemented as an R package (v0.1.8). This algorithm applies the partition around medoids (pam) algorithm to cluster taxa based on their abundance, in a community, for any number of samples. …”
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