A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

“…Document Clustering has attracted the interest of many researchers who have created several solutions to this problem by combining different techniques, models, and algorithms. While famous for its simplicity, the most commonly used algorithm, K-Means, suffers from issues such as finding the optimal value for k and random initialization of the centroids. …”
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Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach by Jun Zhang, Jinpeng Cheng, Cuiping Liu, Qiang Wu, Shuping Xiong, Hao Yang, Shenglong Chang, Yuanyuan Fu, Mohan Yang, Shiyu Zhang, Guijun Yang, Xinming Ma

“…The Leaf Area Index (LAI) is a crucial structural parameter linked to the photosynthetic capacity and biomass of crops. While integrating machine learning algorithms with spectral variables has improved LAI estimation over large areas, excessive input parameters can lead to data redundancy and reduced generalizability across different crop species. …”
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Association between the stress hyperglycemia ratio and all-cause mortality in patients with hemorrhagic stroke: a retrospective analysis based on MIMIC-IV database by Wei Zhu, Wei Zhu, Dingke Wen, Lijuan Duan, Lijuan Duan, Chaofeng Fan, Chaofeng Fan, Yan Jiang, Yan Jiang

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Optimizing Hyperspectral Desertification Monitoring Through Metaheuristic-Enhanced Wavelet Packet Noise Reduction and Feature Band Selection by Weichao Liu, Jiapeng Xiao, Rongyuan Liu, Yan Liu, Yunzhu Tao, Tian Zhang, Fuping Gan, Ping Zhou, Yuanbiao Dong, Qiang Zhou

“…Subsequently, PSO was deployed to optimize key hyperparameters of the Random Forest algorithm and compare its performance with the ResNet-Transformer model. …”
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Modelling the spread of infectious diseases in public transport systems under varying demand patterns and capacity constraints by László Hajdu, Jovan Pavlović, Miklós Krész, András Bóta

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Moral borders and philosophical consideration of Artificial Intelligence: exploring responsibility, rights and ethical decision making by Qihui Zhang, Yingyu Zhang, Jianzhong Liang, Mariam Edilova, Cholponbay Nusupov

“…The study confirms that AI lacks consciousness and free will, meaning responsibility must remain with developers or users. While legal frameworks regulate AI ethics, they do not fully address independent decision-making. …”
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Horizonless Worlds: Navigating the Persistent Present of the Border Regime by Nishat Awan

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Lattice gradient flows (de-)stabilizing topological sectors by Yuya Tanizaki, Akio Tomiya, Hiromasa Watanabe

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Detective Gadget: Generic Iterative Entity Resolution over Dirty Data by Marcello Buoncristiano, Giansalvatore Mecca, Donatello Santoro, Enzo Veltri

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A Review on Navigating Ethical Challenges in Modern Radiology: Balancing Artificial Intelligence Integration and Patient Privacy by Saraswathula Bharadwaj, Shirish Vaidya, Pratap Singh Parihar

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Entropy-Assisted Quality Pattern Identification in Finance by Rishabh Gupta, Shivam Gupta, Jaskirat Singh, Sabre Kais

“…Short-term patterns in financial time series form the cornerstone of many algorithmic trading strategies, yet extracting these patterns reliably from noisy market data remains a formidable challenge. …”
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A novel muirhead mean operators based decision algorithm with applications in the orientation of basketball players using circular q-rung orthopair fuzzy information by Changyou Wang

“…The development includes constructing key theoretical properties while creating a reliable multi-criteria decision-making (MCDM) algorithm that enables efficient computations. …”
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<span style="font-variant: small-caps">DLMinTC+</span>: A Deep Learning Based Algorithm for Minimum Timeline Cover on Temporal Graphs by Giorgio Lazzarinetti, Riccardo Dondi, Sara Manzoni, Italo Zoppis

“…Existing heuristic and approximate methods, while effective in certain scenarios, struggle with capturing complex temporal dependencies and scalability in dense, large-scale networks. …”
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Smart home power management algorithm using real-time model predictive control for a stand-alone PV system with battery energy storage by Aziz Watil

“…This dynamic adjustment ensures an uninterrupted power supply to the home loads while maintaining battery safety. The proposed home manager algorithm features multiple operating modes: Maximum power point (MPP) charging, partial charging, fast charging, float charging, and partial discharging. …”
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Determining The Effect of Some Mechanical Properties on Color Maturity of Tomato With K-Star, Random Forest and Decision Tree (C4.5) Classification Algorithms by Hande Küçükönder, Kubilay Kazım Vursavuş, Fatih Üçkardeş

“…In the classification processes performed according to these mechanical properties, K-Star, Random Forest and Decision Tree (C4.5) algorithms of data mining were utilized, and in the comparison of comprising classification models, Root Mean Square Error (RMSE), Mean absolute error (MAE), Root relative squared error (RRSE) and Relative absolute error (RAE) values, which are some of the criteria of error variance, were considered to be low, while the classification accuracy rate was considered to be high. …”
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Optimizing high voltage gain interleaved boost converters for PV and wind systems using hybrid deep learning with bitterling fish and secretary bird algorithms by G.Veera Sankara Reddy, S. Vijayaraj

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Optimal Protection Coordination for Grid-Connected and Islanded Microgrids Assisted by the Crow Search Algorithm: Application of Dual-Setting Overcurrent Relays and Fault Current L... by Hossien Shad, Hamid Amini Khanavandi, Saeed Abrisham Foroushan Asl, Ali Aranizadeh, Behrooz Vahidi, Mirpouya Mirmozaffari

“…The objective is to minimize the combined annual investment and expected operational costs while adhering to the optimal power flow equations governing the MG, which incorporates both DGs and ESSs. …”
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Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling by Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, Travis J. Esau, Alaba Boluwade, Rehan Sadiq

“…For optimum input scenario, the GS algorithm was applied, and results showed that a combination of DP, AT, ST, SM, and ETo was the best for the PEI study area, while for NB, all input variables should be involved. …”
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A Lightweight Classification Algorithm for External Sources of Interference in IEEE 802.15.4-Based Wireless Sensor Networks Operating at the 2.4 GHz by Sven Zacharias, Thomas Newe, Sinead O'Keeffe, Elfed Lewis

“…As it relies on time patterns instead of spectral features, the algorithm has no need to change the channel. Thus, it allows the radio both to stay connected to the channel and to receive while scanning. …”
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OPTIMIZATION OF FUZZY INVENTORY MANAGEMENT IN INDUSTRIAL PROCESSES USING DEEP LEARNING ALGORITHMS: A HYBRID APPROACH FOR ENHANCING DEMAND FORECASTING AND SUPPLY CHAIN EFFICIENCY by K. Kalaiarasi*, S. Swathi

“…Fuzzy logic offers a robust framework for decisionmaking under uncertainty, while deep learning improves predictive accuracy by identifying complex patterns in historical data. …”
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