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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An Automated and Efficient Slope Unit Division Method Coupled with Computer Graphics and Hydrological Principles by Ting Xiao, Li Zhu, Lichang Wang, Beibei Yang, Can Wang, Haipeng Yao

“…This framework achieves automated slope unit delineation without thresholds while enabling multi-attribute fusion optimization, effectively addressing the shortcomings of HPAM. …”
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PoseNet++: A multi-scale and optimized feature extraction network for high-precision human pose estimation. by Chao Lv, Geyao Ma

“…At the same time, the model complexity of PoseNet++ is much lower than that of methods with similar accuracy.…”
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Optimized Molecular Detection of Cryptosporidium Within the Water-Soil-Plant-Food Nexus: Advancing Surveillance in Agricultural Systems by Robyn Marijn Schipper, Loandi Richter-Mouton, Lise Korsten

“…After evaluating 11 DNA extraction methods from spiked phosphate-buffered saline (PBS) samples, three methods for molecular detection of Cryptosporidium in water, soil, and fresh produce were selected and further tested using real-time PCR. …”
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Multi-robot path planning in online dynamic obstacle environments based on parallel cooperative strategy optimization algorithm by Chia-Hung Wang, Kun Hu, Xiaojing Wu

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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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Improved Quantum Artificial Bee Colony Algorithm-Optimized Artificial Intelligence Models for Suspended Sediment Load Predicting by Peng Wei, Wang Yu

“…The BDQABC is utilized to optimize artificial intelligence (AI) models, specifically BDQABC-SVR and BDQABC-ANN. …”
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Design and Optimization Strategy of a Net-Zero City Based on a Small Modular Reactor and Renewable Energy by Jungin Choi, Junhee Hong

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Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management by Jui-Sheng Chou, Tran-Bao-Quyen Pham

“…As a result, comprehensive approaches remain underexplored, primarily due to challenges in integrating information-driven methods for portfolio preselection and optimization, designing effective rebalancing strategies, and incorporating investor preferences. …”
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An integrated stacked convolutional neural network and the levy flight-based grasshopper optimization algorithm for predicting heart disease by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Majad Mansoor, Filippo Sanfilippo

“…The SCNN provides robust feature extraction, while LFGOA enhances the model by optimizing hyperparameters, improving classification accuracy, and reducing overfitting. …”
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An Improved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Predicting the Energy Consumption of University Residence by Stephen Oladipo, Yanxia Sun, Oluwatobi Adeleke

“…The model input variables are wind speed, temperature, and humidity, with the output being the equivalent energy consumption for the student housing. While the particle swarm optimization (PSO) technique is versatile and widely used, it falls short by exhibiting premature convergence. …”
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Optimizing deep learning for accurate blood cell classification: A study on stain normalization and fine-tuning techniques by Mohammed Tareq Mutar, Jaffar Nouri Alalsaidissa, Mustafa Majid Hameed, Ali Almothaffar

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An Improved Crayfish Algorithm-Based Neural Network Method for Modeling Microstrip Patch Antennas by Shao-Long Cao, Yu Shao, Yang Wang, Ju Tan, Jie Zhang

“…This paper proposes an improved crayfish optimization algorithm (ICOA) to optimize the initial weights and biases of the neural network, aiming to enhance both convergence accuracy and speed. …”
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An evaluation of multi-fidelity methods for quantifying uncertainty in projections of ice-sheet mass change by J. D. Jakeman, M. Perego, D. T. Seidl, T. A. Hartland, T. R. Hillebrand, M. J. Hoffman, S. F. Price

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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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Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients by Yong Si, Armin Abdollahi, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar

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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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Investigating Optimal EEG Channels and Features for Brain-Computer Interfaces: An Exploration using Evolutionary Algorithms and Machine Learning by Ali Ekhlasi, Hessam Ahmadi, Mohammad Saleh Hoseinzadeh

“…For imagined commands, optimal features from all channels achieved a 96.3% classification accuracy, while expressed commands reached 96.5%. …”
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Hydrogen production model: a computational approach to optimize cost reduction strategies, environmental impact, and financial viability by Fairuz Wasima, Md. Sanowar Hossain, Abdullah Mohammad Tousiful Hoque Chy, Monjur Mourshed, Md. Golam Kibria

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Parameter Optimization and Experimental Study of an Apple Postharvest Damage-Reducing Conveyor Device Based on Airflow Cushioning Technology by Yang Li, Kuo Zhang, Jianping Li, Xin Yang, Pengfei Wang, Hongjie Liu

“…Under the optimal parameters, the damage rate for grade I apples was only 12%, while grade II apples had a 0% damage rate, fully meeting the grade II standards. …”
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