Algebraic Properties of Interval -Valued Quadri Partitioned Neutrosophic Fuzzy Matrices and their Application in Multi-Criteria Decision- Making Problem by P.Tharini, C. Devi Shyamala Mary, P.Tharaniya, S. Prathap, S. Ramkumar, G. Dhanavel

“…The study culminates in an algorithm tailored for solving multi-criteria decision-making problems using Interval-Valued Quadri Partitioned Neutrosophic Fuzzy Matrices, validated through an illustrative example that demonstrates its practical utility. …”
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Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis by Xuze Wang, Ailixiati Wumaier, Jun Wang, Dejuan Song, Yiting Cai, Jin Han, Wei Han, Zhi Fang

“…Keyword analysis revealed that retinal imaging-related terms remained a consistent research focus, while newly emerging keywords included “automated detection” and “childhood.”ConclusionRecent advancements in AI applications for HM have been significant and are expected to continue. …”
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Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment by Aravam Babu, A. Bagubali

“…To overcome this, the Sailfish Optimization Algorithm (SFO) is incorporated to fine-tune the Isolation Forest model’s parameters dynamically, balancing exploration and exploitation. …”
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Responsible AI Framework for Autonomous Vehicles: Addressing Bias and Fairness Risks by Abhinav Tiwari, Hany E. Z. Farag

“…Third, the paper focuses on bias and fairness within AV systems, outlining precise techniques for bias detection and mitigation across data collection, algorithm design, and real-time decision-making. Lastly, the research presents bias removal simulations using publicly available AV datasets, evaluating mitigation strategies such as synthetic data generation and algorithmic fairness analysis. …”
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A techno‐economic model for enhancing PV hosting capacity through capabilities of smart inverters and soft open points by Rezvaneh Golnazari, Saeed Hasanzadeh, Ehsan Heydarian‐Forushani, Hamid Reza Sezavar, Navid Fahimi

“…Respective objective functions are optimized using a genetic algorithm (GA) according to probabilistic power flow. …”
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HASSDE-NAS: Heuristic–Adaptive Spectral–Spatial Neural Architecture Search with Dynamic Cell Evolution for Hyperspectral Water Body Identification by Feng Chen, Baishun Su, Zongpu Jia

“…</b> The architecture integrates three specialized units; a spectral-aware dynamic band selection cell suppresses redundant spectral bands, while a geometry-enhanced edge attention cell refines fragmented spatial boundaries. …”
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Voltage Support Capacity Improvement for Wind Farms with Reactive Power Substitution Control by Yuegong Li, Guorong Zhu, Jianghua Lu, Hua Geng

“…Considering differences in terminal voltage characteristics and operating conditions, this RPS control method employs a particle swarm optimization (PSO) algorithm to ensure that wind turbines can provide their optimal reactive power support capacity. …”
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A dynamic dietary-proportion model for polychlorinated biphenyl accumulation in juvenile bluefin tuna by Jiawen Hao, Yucong Liu, Yoshiki Nishi

“…In the juvenile stage, its proportion decreased, while cephalopods and fish alternately increased. …”
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Parametric Sensitivity Analysis of Safe Train Interval Model Based on Relative Braking Distance by QIAN Hua, LYU Haojiong

“…This study sought to analyze the sensitivity of key parameters affecting these safe intervals, to harness the potential of virtual coupling technology in improving efficiency while ensuring operational safety. The qualitative analysis based on a safe time interval model and the quantitative analysis based on simulations using the model plus an algorithm, were conducted, shedding light on the extent of influence from key parameters in the safe interval model on stopping time differences. …”
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Research on Spectral Leakage Suppression Method of Coherent Wind Lidar Based on Hanning Self-Convolutional Window by Chen Su, Shoufeng Tong, Peng Lin, Naiyuan Liang, Zejie He, Xiaonan Yu

“…The comparison of wind speed with a commercial CDWL shows that the RMSE of the second-order HSCW inversion result is 0.184 m/s, while the RW and first-order HSCW are 0.449 m/s and 0.266 m/s, respectively.…”
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iScene: An interpretable framework with hierarchical edge services for scene risk identification in 6G internet of vehicles by Wuchang Zhong, Siming Wang, Rong Yu

“…An elastic computing offloading algorithm is applied to minimize the system overhead under the hierarchical edge service architecture. …”
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Efficient Real-Time Cost Management in Renewable Energy-Powered Microgrid with Integrated Electric Vehicle Charging/Discharging Control by Swati Sharma, Ikbal Ali

“…Through meticulous real-time monitoring and control, our hybrid PSO-GWO algorithm delivers superior performance, slashing costs by $152.47 for medium scale microgrid while reducing execution time by 0.81 seconds as compared to other metaheuristic algorithms. …”
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Machine learning-based fatigue lifetime prediction of structural steels by Konstantinos Arvanitis, Pantelis Nikolakopoulos, Dimitrios Pavlou, Mina Farmanbar

“…Through preprocessing and feature selection, four techniques are explored: Polynomial Regression, Support Vector Regression (SVR), XGB Regression and Artificial Neural Network (ANN), aiming to identify the most effective algorithm. The implementation of these methodologies for fatigue lifetime prediction yields substantial outcomes. …”
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Challenges and Opportunities in Remote Sensing-Based Fuel Load Estimation for Wildfire Behavior and Management: A Comprehensive Review by Arnick Abdollahi, Marta Yebra

“…However, challenges persist in securing data for algorithm calibration and validation and in achieving the desired accuracies for surface fuels.…”
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Parameter Identification and Control Scheme for Monitoring Automatic Thickness Control System with Measurement Delay by Xu Yang, Jingjing Gao, Yuri A. W. Shardt, Linlin Li, Chaonan Tong

“…The cross-correlation function is used to estimate the time delay of the system, while the system parameters are identified using a recursive least squares method. …”
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Research on hybrid force/position control method for robot peg-in-hole assembly by Xiangpan Li, Bingjing Guo, Jianhai Han, Xiang Zhang

“…A robot joint variable-solving algorithm is designed to dynamically adjust the motion of each axis of the robot in real-time, realizing compliant control in the presence of contact force/torque during assembly. …”
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Nanometer-Scale CO2-Shale Oil Minimum Miscibility Pressure Calculations Based on Modified PR-EOS by Yahui Bu, Qian Sun, Shuoran Fu, Lingkong Guo, Na Zhang

“…CO2 flooding is recognized as an efficient method for enhancing shale oil recovery, while CO2-oil MMP (minimum miscibility pressure) in the micro-nanoscale is a crucial parameter. …”
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Comparative Analysis of Feature Selection Methods with XGBoost for Malware Detection on the Drebin Dataset by Ines Aulia Latifah, Fauzi Adi Rafrastara, Jevan Bintoro, Wildanil Ghozi, Waleed Mahgoub Osman

“…Information Gain yielded the best performance in accuracy and training time efficiency, while Chi-Squared and ANOVA offered competitive but slightly lower results. …”
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A Power-Efficient 50 MHz-BW 76.8 dB Signal-to-Noise-and-Distortion Ratio Continuous-Time 2-2 MASH Delta-Sigma Analog-to-Digital Converter with Digital Calibration by Zhiyu Li, Xueqian Shang, Haigang Feng, Xinpeng Xing

“…In order to achieve a wide bandwidth while ensuring low power consumption, this paper proposes a CT 2-2 Multi-stAge Noise-sHaping (MASH) ADC for wireless communication. …”
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Optimal energy management of multi-carrier energy system considering uncertainty in renewable generation by Ankit Garg, K. R. Niazi, Shubham Tiwari, Sachin Sharma, Tanuj Rawat

“…In the first stage, the objective is to minimize daily operational costs while incorporating the uncertain behavior of renewables using a scenario-based stochastic approach. …”
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