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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Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

“…Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. …”
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ANFIS-optimized control for resilient and efficient supply chain performance in smart manufacturing by Mona A. AbouElaz, Bilal Naji Alhasnawi, Bishoy E. Sedhom, Vladimír Bureš

“…Also, the butterfly optimization algorithm (BOA) is proposed for obtaining optimal parameters for the ANFIS controller algorithm. …”
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Electric Vehicle Health Monitoring with Electric Vehicle Range Prediction and Route Planning by Jayapradha Jayaram, J Chetan, Barun Nayak

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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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AI-based prediction of academic success: Support for many, disadvantage for some? by Lisa Herrmann, Jonas Weigert

“…However, knowing about biases and unfairness in algorithms, one should take a closer look at these predictions. …”
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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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Microvascular tissue transfer in reconstruction of anterior skull base defects secondary to sinonasal malignancies: a case series and proposed reconstructive framework by Nikhil Prasad, Kripa Shankar Mishra, Rajan Arora, Anchit Kumar, Samarth Gupta, Sourav Sarkar

“…This paper underscores a reconstructive algorithm for managing extensive anterior skull base defects using microvascular free tissue transfer.…”
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Optimizing energy and CO2 efficiency in last-mile delivery using hybrid fleet models by Armin Mahmoodi, Leila Hashemi, Jeremy Laliberte, Seyed Mojtaba Sajadi

“…Using a synthetic dataset that simulates realistic conditions, the findings reveal that fixed-wing RPAS excel in long-range efficiency, while quadcopters perform better in short-range deliveries. …”
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