Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance by Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama

“…This study presents a comparative analysis of multiple nature-inspired algorithms for solving the non-polynomial Optimal Power Flow (OPF) problem. Through numerical evaluations, we assess their performance across diverse objective functions, addressing complexities such as multi-fuel sources, valve point effects, and prohibited zones. …”
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Three-Timescale Hierarchical Multi-Objective Volt/Var Control in Active Distribution Network With Inverters Droop Control by Meiyi Liu, Hsiao-Dong Chiang, Tengmu Li

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Deep reinforcement learning for conservation decisions by Marcus Lapeyrolerie, Melissa S. Chapman, Kari E. A. Norman, Carl Boettiger

“…Deep RL is the subfield of RL that incorporates deep neural networks into the agent. We train deep RL agents to solve sequential decision‐making problems in setting fisheries quotas and managing ecological tipping points. …”
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Multi-Stream Transmission for Directional Modulation Network via Distributed Multi-UAV-Aided Multi-Active-IRS by Ke Yang, Rongen Dong, Wei Gao, Feng Shu, Weiping Shi, Yan Wang, Xuehui Wang, Jiangzhou Wang

“…To achieve a lower computational complexity, a maximum trace method, called Max-TR-SVD, is proposed by optimizing the PSM of all IRSs. …”
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Design of a hybrid AI network circuit for epilepsy detection with 97.5% accuracy and low cost-latency by Liufang Sheng, Xuanxu Chen, Yuejun Zhang, Ke Yan, Junping Chen, Zhikang Chen, Hanyu Shi, Yi Gong

“…Epilepsy detection using artificial intelligence (AI) networks has gained significant attention. However, existing methods face challenges in accuracy, computational cost, and speed. …”
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Optimizing Industrial IoT Data Security Through Blockchain-Enabled Incentive-Driven Game Theoretic Approach for Data Sharing by Muhammad Noman Sohail, Adeel Anjum, Iftikhar Ahmed Saeed, Madiha Haider Syed, Axel Jantsch, Semeen Rehman

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Maximizing Energy Efficiency in IRS-Assisted Phase Cooperative PS-SWIPT-Based Self-Sustainable IoT Network by Haleema Sadia, Ahmad Kamal Hassan, Ziaul Haq Abbas, Ghulam Abbas, Thar Baker, Nasir Saeed

“…The proposed solutions’ analysis shows low computational complexity and fast convergence, achieving near-optimal EE performance for different network settings. …”
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Linear and nonlinear multidimensional functional connectivity methods reveal similar networks for semantic processing in EEG/MEG data by Setareh Rahimi, Rebecca L. Jackson, Rebecca L. Jackson, Olaf Hauk

“…However, TL-MDPC remains linear and may therefore miss nonlinear interactions among brain areas.MethodsThus, we introduce Nonlinear TL-MDPC (nTL-MDPC), a novel bivariate functional connectivity method for event-related EEG/MEG applications, and compare its performance to the original linear TL-MDPC. nTL-MDPC describes how well patterns in ROI X at a time point tx can predict patterns of ROI Y at a time point ty using artificial neural networks.ResultsApplying this method and its linear counterpart to simulated data demonstrates that both can identify nonlinear dependencies, with nTL-MDPC achieving up to ~0.75 explained variance under optimal conditions (e.g., high SNR), compared to ~0.65 with TL-MDPC. …”
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Energy-Efficient Cooperative Transmission in Ultra-Dense Millimeter-Wave Network: Multi-Agent Q-Learning Approach by Seung-Yeon Kim, Haneul Ko

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Design of an Optimized Feature Driven Severity Stage Classifier for Parkinson’s Disease Prediction Using Deep Learning by K. Shyamala, T. M. Navamani

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Research on time-varying path optimization for multi-vehicle type fresh food logistics distribution considering energy consumption by Hao Chen, Wenxian Wang, Li Jia, Haiming Wang

“…The results indicate that using the TS-GA algorithm to optimize a distribution network with one distribution center and 30 delivery points resulted in a total cost of CNY 12,934.02 and a convergence time of 16.3 s. …”
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Support vector neural network based fuzzy hybrid filter for impulse noise identification and removal from gray-scale image by Sagenela Vijaya Kumar, C. Nagaraju

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Optimizing Prescribing for Individuals With Type 2 Diabetes and Chronic Kidney Disease Through the Development and Validation of Algorithms for Community Pharmacists by Jennifer Morris, Marisa Battistella, Karthik Tennankore, Steven Soroka, Cynthia Kendell, Penelope Poyah, Keigan More, Mathew Grandy, Thomas Ransom, Natalie Kennie-Kaulbach, Daniel Rainkie, Jaclyn Tran, Syed Sibte Raza Abidi, Samina Abidi, Nicole Fulford, Heather Neville, Heather Naylor, Lisa Woodill, Andrea Bishop, Glenn Rodrigues, Diane Harpell, Michelle Stewart, Jo-Anne Wilson

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One-Hot Multi-Level Leaky Integrate-and-Fire Spiking Neural Networks for Enhanced Accuracy-Latency Tradeoff by Pierre Abillama, Changwoo Lee, Andrea Bejarano-Carbo, Qirui Zhang, Dennis Sylvester, David Blaauw, Hun-Seok Kim

“…Spiking neural networks (SNNs) hold significant promise as energy-efficient alternatives to conventional artificial neural networks (ANNs). …”
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Neural network based clinical decision support system for the calculation the initial continuous subcutaneous insulin infusion settings by D. N. Laptev, D. Y. Sorokin

“…BACKGROUND: Despite existing recommendations for the initial calculation of insulin pump settings, the process is largely subjective and depends on the physician’s personal experience.AIM: Development of a clinical decision support system (CDSS) that determines the initial settings of the insulin pump, which would have satisfactory agreement with the expert opinion of physicians.MATERIALS AND METHODS: Neural network model developed using data (continuous subcutaneous insulin infusion (CSII) settings, age, weight, total daily dose, and HbA1c) from 2850 children with T1D who were switched to CSII and achieved optimal glycemic control according to glucose levels. …”
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Assessing Public Transit Network Efficiency and Accessibility in Johor Bahru and Penang, Malaysia: A Data-Driven Approach by Mahbub Hassan, Hridoy Deb Mahin, Ferdoushi Ahmed, Md. Maruf Hassan, Atikur Rahaman, Masuk Abdullah

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SVR-Optimized ANN Model for Predicting Earthquake Risk in Electrical Substations Based on Disaster Datasets in the Aceh Region, Indonesia by Elvy Sahnur Nasution, Yuwaldi Away, Syahrial, Ira Devi Sara, Andri Novandri

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A Type of Localization Method Using Mobile Beacons Based on Spiral-Like Moving Path for Wireless Sensor Networks by Chao Sha, Ru-chuan Wang

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A novel and sturdy MPPT architecture for grid-tied EV charging stations using Ali Baba and forty thieves optimization by Debabrata Mazumdar, Hassan Abdurrahman Shuaibu, Chiranjit Sain, Taha Selim Ustun

“…Thus, this manuscript suggests an EV charging station powered by renewable energy that combines solar power, standby battery systems, advanced control methods like neural network-integrated grids, the PID controller, and the improved Ali Baba and forty thief’s optimizations (ABFTO) for Maximum Power Point Tracking. …”
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Presenting a Stochastic Model of Simultaneous Planning Problem of Distribution and Subtransmission Network Development considering the Reliability and Security Indicators by Seyed Hossein Moayed, Hosein Hasan Shahi, Mohammadreza Akbarizadeh, Morteza Jadidoleslam, Arash Aghatehrani, Afshin Pirouzi

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