System identification and robust PID controller tuning of quarter car suspension system using hybrid optimization techniques by S. Sakthiya Ram, C. Kumar, R. Saravanakumar, David Banjerdpongchai

“…A dataset comprising 397 car models is analyzed, and system parameters are selected using a combined Sequential Quadratic Programming and Pattern Search method. After validating the resulting dynamic model, various PID controllers are designed using standard metaheuristic algorithms—Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Simulated Annealing (SA). …”
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Optimizing water-efficient agriculture: evaluating the sustainability of soil management and irrigation synergies using fuzzy extent analysis by Rishikesh Sharma, Srinivas Rallapalli, Joe Magner

“…The results indicate that Zero Tillage is the most effective tillage practice (score of 0.176), while Deficit Irrigation emerges as the most efficient irrigation method, scoring 0.144. …”
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ML-based approach to potato diseases diagnosis using image processing and whale optimization algorithm for feature selection by Zhongxu Li, Seyed Mohamad Javidan

“…The experimental results demonstrated that the proposed method achieved high accuracy rates of 99.04 % for SVM and 96.49 % for WOA. …”
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Path planning in radioactive environment of nuclear facilities based on modified A-star algorithm and search neighborhood optimization by Biao Zhang, Xingfu Cai, Guoqiang Li, Xiaomeng Li, Minjun Peng, Haowei Wang

“…This modification improves the efficiency of path search while maintaining a low cumulative dose for staff. …”
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Optimize multi-objective transformation rules of water-sediment regulation for cascade reservoirs in the Lower Yellow River of China by Kunhui Hong, Aixing Ma, Wei Zhang, Mingxiong Cao

“…This study focuses on the operation of the Sanmenxia and Xiaolangdi cascade reservoirs, developing a multi-objective model (hydropower generation and sediment transport) and two single-objective models (hydropower generation only and sediment transport only). An innovative method (ESS-NSGA-II) is proposed, combining Efficient Search Space (ESS) with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to optimize cascade reservoirs operation. …”
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Physics-informed modeling and process optimization of friction stir welding of AA7075-T6 with a zinc interlayer by Dejene Alemayehu Ifa, Dame Alemayehu Efa, Naol Dessalegn Dejene, Sololo Kebede Nemomsa

“…Friction Stir Welding (FSW) is a solid-state joining method commonly used for joining both similar and dissimilar high-strength, low-melting-point alloys like AA7075-T6. …”
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Comparative analysis and optimization of tumor regression grade assessment systems in neoadjuvant therapy for esophageal squamous cell carcinoma by Qiao Yang, Xiaoqing Zhou, Jiayu Li, Jieyu Wang, Jingcheng Luo, Dan Luo, Lin Shi, Chengmin Zhou, Yi Wang, Xuefeng Leng, Qifeng Wang, Yang Liu, Yehan Zhou

“…Abstract Objective This study aims to compare and analyze the effectiveness of different tumor regression grade (TRG) assessment systems in evaluating neoadjuvant therapy for esophageal cancer, with the goal of identifying an optimal assessment method to guide clinical practice. …”
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Near Infrared Photoimmunotherapy Targeting EGFR Positive Triple Negative Breast Cancer: Optimizing the Conjugate-Light Regimen. by Tadanobu Nagaya, Kazuhide Sato, Toshiko Harada, Yuko Nakamura, Peter L Choyke, Hisataka Kobayashi

“…In order to minimize the dose of APC while maximizing the therapeutic effects, dosing of the APC and NIR light need to be optimized. …”
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Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

“…We formulate a multi-objective optimization problem that minimizes total operational costs while reducing the Average Task Loss Probability (ATLP), a key Quality of Service (QoS) metric. …”
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Optimizing the mechanical and surface topography of hydroxyapatite/Gd2O3/graphene oxide nanocomposites for medical applications by M.A. El-Morsy, Nasser S. Awwad, Hala A. Ibrahium, Walaa Alharbi, Mohammad Y. Alshahrani, A.A. Menazea

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A Transformer-LSTM-SVR hybrid model for AI-driven emotional optimization in NEV embedded interior systems by Zongming Liu, Xuhui Chen, Xinan Liang, Zhicheng Sun, Fengqi Yang, Wenwen Ou, Linwei Li, Xiayan Qin

“…Current research on emotion optimization in new energy vehicle interiors lacks efficient nonlinear modeling methods. …”
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U-ActionNet: Dual-Pathway Fourier Networks With Region-of-Interest Module for Efficient Action Recognition in UAV Surveillance by Abdul Monaf Chowdhury, Ahsan Imran, Md Mehedi Hasan, Riad Ahmed, Akm Azad, Salem A. Alyami

“…Meanwhile, the second pathway employs edge-optimized models, integrating ROI extraction-based frame sampling technique to eliminate static frames while preserving pivotal frames essential for model training. …”
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Evaluation of mechanical properties and determination of the optimal concentration of a new carbonyl-rich graphene oxide in cementitious composites by Aldo Ribeiro de Carvalho, Marcela Martins Carrara, Gabriela dos Santos Pacífico, Natany Pinho Rosa, Letícia Lopardi Leal, Marina Costa Totti, Nayton Claudinei Vicentini, Alessandro Henrique de Lima, Welber Gianini Quirino, Thaís Mayra de Oliveira

“…By adapting the Hummers’ method, it is possible to create graphene oxide rich in carbonyl (CGO), which becomes the predominant functional group of the nanomaterial. …”
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Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe, Reena Jangid

“…This research presents Polar Lights Optimization (PLO), a noval aurora-inspired method developed to address the current optimization challenges. …”
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Optimizing translation for low-resource languages: Efficient fine-tuning with custom prompt engineering in large language models by Pitso Walter Khoboko, Vukosi Marivate, Joseph Sefara

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Future of Agrivoltaic projects: A review from the technological forecasting perspective by Leticia Pekk, Petar Sabev Varbanov, Ting Pan, Zoltan Weltsch, Bernadett Radli-Burjan, Andras Hary, Xue-Chao Wang

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Enhancing pediatric distal radius fracture detection: optimizing YOLOv8 with advanced AI and machine learning techniques by Farid Amirouche, Aashik Mathew Prosper, Majd Mzeihem

“…This study aims to refine the YOLOv8-AM model to improve the detection of distal radius fractures in pediatric patients by integrating targeted improvements and new attention mechanisms. Methods We enhanced the YOLOv8-AM model to improve pediatric wrist fracture detection, maintaining the YOLOv8 backbone while integrating attention mechanisms such as the Convolutional Block Attention Module (CBAM) and the Global Context (GC) block. …”
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Nanostructured Strategies for Melanoma Treatment—Part I: Design and Optimization of Curcumin-Loaded Micelles for Enhanced Anticancer Activity by Valentina Paganini, Andrea Cesari, Silvia Tampucci, Patrizia Chetoni, Susi Burgalassi, Michele Lai, Giulia Sciandrone, Silvia Pizzimenti, Fabio Bellina, Daniela Monti

“…A Design of Experiments (DoE) approach was applied to optimize the surfactant ratios for enhanced drug solubilization and improved cytotoxic effects on melanoma cells. …”
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Knowledge-Based Planning and Multi-criteria Optimization Combination with Volumetric Modulated Arc Therapy for Patients with Laryngeal Cancer by Hideharu Miura, Soichiro Ishihara, Masahiro Kenjo, Minoru Nakao, Shuichi Ozawa, Masayuki Kagemoto

“…The maximum dose to the spinal cord did not differ significantly among the three planning methods. Conclusions: KBP + MCO could improve dose sparing of the carotid artery while maintaining PTV coverage in laryngeal VMAT.…”
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Enhancing Treatment Efficiency: Investigating the Optimal Segment Width in Volumetric Modulated Arc Therapy for Prostate Cancer Management by Gleetus Thimothy, Mary Joan, Anuj Vijay

“…The plans were designed with three different MSW: 0.5 cm, 1.0 cm, and 1.5 cm while keeping all remaining factors constant. Subjects and Methods: The plans for each MSW group were compared based on several criteria: conformity index, homogeneity index, dose to organs at risk, control points, monitor units (MUs), plan execution time, and gamma passing rates (GPRs). …”
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