Adaptive Neuro-Fuzzy Inference System-Genetic Algorithm approach for global maximum power point tracking in PV systems under different shading conditions by Nivine Guler, Zied Ben Hazem, Ali Gunes, Firas Saidi

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Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-po... by Kaimin Hu, Yinan Wu, Yajing Huang, Meiqi Zhou, Yanyan Wang, Xingru Huang

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A Snow Depth Downscaling Algorithm Based on Deep Learning Fusion of Enhanced Passive Microwave and Cloud-Free Optical Remote Sensing Data in China by Zisheng Zhao, Xiaohua Hao, Donghang Shao, Wenzheng Ji, Tianwen Feng, Qin Zhao, Wenxin He, Liyun Dai, Zhaojun Zheng, Yan Liu

“…Collectively, these results demonstrate that the innovative FTSD algorithm exhibits reliable performance for SD downscaling and has the potential to provide a robust data foundation for meteorological and environmental research.…”
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An Enhanced Snow Geese Optimizer Integrating Multiple Strategies for Numerical Optimization by Baoqi Zhao, Yu Fang, Tianyi Chen

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Interpretarea, instrument de atenuare a bias-ului algoritmic în contractele electronice/ Interpretation, a Tool for Mitigating Algorithmic Bias in Electronic Contracts by Sebastian ANTOCE

“…This article analyzes the role of legal interpretation in mitigating algorithmic bias within electronic contracts. In a digital era where algorithms increasingly influence the formation, interpretation, and execution of contracts, algorithmic bias can create significant imbalances between contracting parties. …”
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Corrections to “Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems” by Abdulrahman Alruban, Hanan Abdullah Mengash, Majdy M. Eltahir, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri

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Corrections to “Sandpiper Optimization Algorithm With Region Growing Based Robust Retinal Blood Vessel Segmentation Approach” by Ibrahim Almohimeed, Mohamed Yacin Sikkandar, A. Mohanarathinam, Velmurugan Subbiah Parvathy, Mohamad Khairi Ishak, Faten Khalid Karim, Samih M. Mostafa

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An algorithmic multiple attribute decision-making context to model uncertainty associated with hospital site selection problem using complex sv-neutrosophic soft information by Khuram Ali Khan, Ali Asghar, Atiqe Ur Rahman, Rostin Matendo Mabela

“…These methods assist decision-makers in managing ambiguity and uncertainty, allowing for more informed and risk-reduced decisions. This research introduces an advanced framework called a complex single-valued neutrosophic soft set (csvNSS) to address uncertainties inherent in decision-making. …”
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Predicting Rolling Element Bearings’ Deterioration Vibration Trend based on Limited Historical Data for a Desired Confidence Level using Machine Learning Algorithms by Mohammad Reza Seif, Somaye Mohammadi, Parham Rahimi, Mehdi Behzad

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Isolation Enhancement Based on TM010 and TE30 Mode Characteristics in a Patch Antennas Using Genetic Algorithm Optimization for Ku-Band Applications by Muddineni Raveendra, U. Saravanakumar, P. Padmaloshani, P. Saam Prasanth Dheeraj, Anand Anbalagan, R. Sreelakshmy

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Optimization of a Dual-Channel Water-Cooling Heat Dissipation System for PMSM in Underwater Unmanned Vehicles Using a Multi-Objective Genetic Algorithm by Wenlong Tian, Chen Zhang, Zhaoyong Mao, Bo Cheng

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DPF-Bi-RRT^*: An Improved Path Planning Algorithm for Complex 3D Environments With Adaptive Sampling and Dual Potential Field Strategy by Lin Ge, Swee King Phang, Nohaidda Sariff

“…This research work, we introduce a path planning algorithm called DPF-Bi-RRT* which integrates a Dual Potential Field mechanism with a Targeted Sampling Strategy to address path planning issues in complex 3D spaces. …”
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Quantum Snowflake Algorithm (QSA): A Snowflake-Inspired, Quantum-Driven Metaheuristic for Large-Scale Continuous and Discrete Optimization with Application to the Traveling Salesma... by Zeki Oralhan, Burcu Oralhan

“…The Quantum Snowflake Algorithm (QSA) is a novel metaheuristic for both continuous and discrete optimization problems, combining collision-based diversity, quantum-inspired tunneling, superposition-based partial solution sharing, and local refinement steps. …”
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The SADRA Algorithm as a Framework for Sustainable Innovation: A Review of Case Studies on 3D‐Printed Reinforced Concrete Beam and Fiber‐Reinforced Concrete by Mohammad Hematibahar, Makhmud Kharun, Abhijit Bhowmik, Valentin Romanovski

“…ABSTRACT The absence of a structured and evolutionary approach in civil engineering research often leads to fragmented innovations and limited progress. …”
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Cost Optimization of AC Microgrids in Grid-Connected and Isolated Modes Using a Population-Based Genetic Algorithm for Energy Management of Distributed Wind Turbines by Luis Fernando Grisales-Noreña, Héctor Pinto Vega, Oscar Danilo Montoya, Vanessa Botero-Gómez, Daniel Sanin-Villa

“…This research investigates the effectiveness of four metaheuristic algorithms, the Population-Based Genetic Algorithm, Particle Swarm Optimization, JAYA, and Generalized Normal Distribution Optimizer, for managing the energy production of wind-based distributed generators (DGs). …”
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GenePixKolor (GPK) Fusion: A Novel Evolutionary Algorithm-Based Optimized NFT Card Generation and Rarity Ranking Method for Gaming Tokenomics by J. Guruprakash, P. Pradeep, L. B. Krithika

“…GPK Fusion leverages genetic algorithms, image processing and machine learning to create a comprehensive, four-stage system that optimizes both the trait generation and visual appeal of NFTs, while providing an advanced rarity ranking mechanism. …”
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Enhanced data-driven shear strength predictive modeling framework for RCDBs using explainable boosting-based ensemble learning algorithms coupled with Bayesian optimization by Imad Shakir Abbood, Noorhazlinda Abd Rahman, B.H. Abu Bakar

“…To achieve this goal, four ensemble boosting ML algorithms, namely Gradient Boosting, HistGBoost, XGBoost, and LightGBM, were adopted for implementation. …”
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Agreement and correlation between WHO-UMC Causality scale and the Naranjo algorithm for causality assessment of adverse drug reactions at tertiary care center in Northern India by Saurav Misra, Manmeet Kaur, Tirthankar Deb, Amit Kaushik, Abhimanyu Vohra, Kashish Sindhwani, Ashish K. Saranjhna

“…Further research is needed to establish a gold standard method for assessing the causality of adverse drug reactions.…”
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Performance evaluation and comparative analysis of different machine learning algorithms in predicting postnatal care utilization: Evidence from the ethiopian demographic and healt... by Daniel Niguse Mamo, Agmasie Damtew Walle, Eden Ketema Woldekidan, Jibril Bashir Adem, Yosef Haile Gebremariam, Meron Asmamaw Alemayehu, Ermias Bekele Enyew, Shimels Derso Kebede

“…In the 30 countries studied, nearly 40 percent of women did not receive a postpartum care check-up. This research aims to evaluate and compare the effectiveness of machine learning algorithms in predicting postnatal care utilization in Ethiopia and to identify the key factors involved. …”
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A 3D Multipath Planning Method for Guided Vehicles Using Improved A∗ Algorithm Based on Multiple Avoidance Tactics and Terminal Attack Angles by Jun Huang, Pengfei Wu, Xiaobao Li, Yue Liu

“…Simulation results in two attack situations, three different degrees of freedom modes and 10 real-world scenarios demonstrate that the improved A∗ search algorithm has higher efficiency and better performance than classical algorithms. …”
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