A hybrid approach using support vector machine rule-based system: detecting cyber threats in internet of things by M. Wasim Abbas Ashraf, Arvind R. Singh, A. Pandian, Rajkumar Singh Rathore, Mohit Bajaj, Ievgen Zaitsev

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An evolution of forensic linguistics: From manual analysis to machine learning – A narrative review by R. Thamizh Mani, Vikram Palimar, Mamatha Shivananda Pai, T.S. Shwetha, M. Nirmal Krishnan

“…Key challenges, such as biased training data and opaque algorithmic decision-making, highlight unresolved barriers to courtroom admissibility. …”
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Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based... by Zenhom M. Zenhom, Shady H. E. Abdel Aleem, Essam Aboul Zahab, Ziad M. Ali, Abdulaziz Almalaq, Tarek A. Boghdady

“…The pelican optimization algorithm (POA) is employed to solve the optimization problem and is compared with four other optimization techniques, demonstrating its good performance. …”
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Exploration and Exploitation Mechanism in Pairwise Test Case Generation: A Systematic Literature Review by Muhammad Sabo Yahaya, Ahmad Sobri B. Hashim, Abdullateef Oluwagbemiga Balogun, Aminu Aminu Muazu, Fatima Sabo Usman, Dahiru Adamu Aliyu, Abdullahi Uwaisu Muhammad

“…Pairwise testing, a combinatorial testing methodology, optimizes test case generation by minimizing redundancy while maintaining defect detection effectiveness. …”
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Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics by Asim Ghaffar, Muhammad Zia Ur Rahman, Victor Leiva, Cecilia Castro, Carlos Martin-Barreiro

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A weakly-supervised deep learning model for end-to-end detection of airfield pavement distress by Zefeng Tao, Hongren Gong, Liming Liu, Lin Cong, Haimei Liang

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A sustainable approach to deep geothermal energy exploitation: feasibility of clustered U-shaped multi-branch wells by Tao Xu, Tao Xu, Shouding Li, Shouding Li, Zhaobin Zhang, Zhaobin Zhang, Yanlong Kong, Yanlong Kong, Bo Zheng, Bo Zheng, Shiwei Ma, Shiwei Ma, Supeng Zhang, Supeng Zhang, Jianming He, Jianming He, Xiao Li, Xiao Li

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Advancing Optimization Strategies in the Food Industry: From Traditional Approaches to Multi-Objective and Technology-Integrated Solutions by Esteban Arteaga-Cabrera, César Ramírez-Márquez, Eduardo Sánchez-Ramírez, Juan Gabriel Segovia-Hernández, Oswaldo Osorio-Mora, Julián Andrés Gómez-Salazar

“…Advanced methods, including evolutionary algorithms and comprehensive modeling frameworks, enable the simultaneous optimization of multiple variables, offering robust solutions to complex challenges. …”
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Synthesis and characterization of hematite nanomaterials imprinted with acetone, ethanol and methanol for AI-Based IoT gas sensor arrays by Rana M. Abdelghani, Abd El-Hady B. Kashyout, Iman Morsi, Taha Elsayed Taha, Naglaa F. Soliman, Walid El-Shafai

“…Among the models, RF-GB exhibited the lowest limit of detection (LOD), while RF presented relatively higher LOD values. …”
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Projected Future Changes in Tropical Cyclones Using the CMIP6 HighResMIP Multimodel Ensemble by Malcolm John Roberts, Joanne Camp, Jon Seddon, Pier Luigi Vidale, Kevin Hodges, Benoît Vannière, Jenny Mecking, Rein Haarsma, Alessio Bellucci, Enrico Scoccimarro, Louis‐Philippe Caron, Fabrice Chauvin, Laurent Terray, Sophie Valcke, Marie‐Pierre Moine, Dian Putrasahan, Christopher D. Roberts, Retish Senan, Colin Zarzycki, Paul Ullrich, Yohei Yamada, Ryo Mizuta, Chihiro Kodama, Dan Fu, Qiuying Zhang, Gokhan Danabasoglu, Nan Rosenbloom, Hong Wang, Lixin Wu

“…Projected tropical cyclone activity by 2050 generally declines in the South Indian Ocean, while changes in other ocean basins are more uncertain and sensitive to both tracking algorithm and imposed forcings. …”
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Large-scale prospective serum metabolomic profiling reveals candidate predictive biomarkers for suspected preeclampsia patients by Yan Cao, Lanlan Meng, Yifei Wang, Shenglong Zhao, Yuanyuan Zheng, Rui Ran, Jie Du, Hongqiang Wu, Jiaqi Han, Zhengwen Xu, Yifan Lu, Lin Liu, Lu Chen, Jing Wang, Youran Li, Yanhong Zhai, Zhi Sun, Zheng Cao

“…These findings highlight the potential of large-scale prospective metabolomic studies combined with machine learning algorithms in identifying key biomarkers for predicting PE development, while retrospective metabolomics studies provide insights into the pathogenesis of PE.…”
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Energy optimization through morphing blade design under structural constraints: a case study on the NREL 1.5 MW wind turbine by Najafian Arezoo, Jahangirian Alireza

“…The morphing process is modeled using an m-degree shape function and optimized through a Genetic Algorithm (GA) to maximize power generation while minimizing structural displacement and thrust forces. …”
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A Flexible Interconnected Distribution Network Power Supply Restoration Method Based on E-SOP by Lin Jiang, Canbin Wang, Wei Qiu, Hui Xiao, Wenshan Hu

“…To solve this complex optimization model, an innovative hybrid approach combining the Improved Whale Optimization Algorithm (IWOA) with second-order cone programming is developed. …”
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3D Visualization System of Breast Magnetic Resonance Images Based on Deep Learning and Volume Rendering by Rong Chen, Stephen Karungaru, Kenji Terada, Changyan Xu

“…Experimental results demonstrate that the improved ray-casting algorithm accelerates the rendering process while maintaining visualization quality. …”
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Peak-to-average power ratio reduction of orthogonal frequency division multiplexing signals using improved salp swarm optimization-based partial transmit sequence model by Vandana Tripathi, Prabhat Patel, Prashant Kumar Jain, Shailja Shukla

“…Therefore, an optimization algorithm, namely, the improved salp swarm optimization algorithm (ISSA), is incorpo-rated with the PTS to reduce the PAPR of the OFDM signals with limited com-putational cost. …”
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Modeling and Performance Evaluation of Hybrid Classical–Quantum Serverless Computing Platforms by Claudio Cicconetti

“…While quantum computing technologies are evolving toward achieving full maturity, hybrid algorithms, such as variational quantum computing, are already emerging as valid candidates to solve practical problems in fields, such as chemistry and operations research. …”
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Optimizing Curriculum for Students: A Machine Learning Approach to Time Management Analysis by Jianmin Dong

“…Additionally, Tasmanian Devil Optimization (TDO) and Equilibrium Slime Mould Algorithm (ESMA) are integrated to enhance the accuracy of both XGBC and HGBC models. …”
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Optimized design of high-strength leaf chain based on response surface methodology by LIU Meiqi, FENG Zengming, ZHOU Zhidi

“…ObjectiveAiming at the insufficient fatigue life of high-strength leaf chains for forklifts under low-speed heavy-load conditions, a collaborative optimization framework integrating Response Surface Methodology (RSM) and multi-objective genetic algorithm (MOGA) is proposed to enhance reliability and optimize stress distribution.MethodsBased on transient dynamic analysis using ANSYS Workbench, the edge of the chain plate hole was identified as the critical stress concentration region. …”
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Response mitigations of adjacent structure with MPTMD under real and stochastic excitations by Mohammad Alibabaei Shahraki

“…The performance of the MPTMD system is optimized using the Particle Swarm Optimization (PSO) algorithm. The optimization process calculates the optimal placement and parameters of the MPTMD system under two objective functions: the first function aims to minimize the Park-Ang damage index of all structures, while the second focuses on reducing the maximum impact force between the adjacent structures. …”
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Optimizing travel costs of feeder-integrated public transport system: A methodology by Mysore Narasimhamurthy Sharath, Babak Mehran, Ahmed Ashraf, Susan Grant-Muller, Ed Manley

“…A novel evolutionary algorithm, guided by fuzzy inference systems, optimizes travel costs. …”
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