Impact of machine learning on dietary and exercise behaviors in type 2 diabetes self-management: a systematic literature review by Rizwan Riaz Mir, Nazeef Ul Haq, Kashif Ishaq, Nurhizam Safie, Abdul Basit Dogar

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A Numerical Method Based on the Parametric Variational Principle for Simulating the Dynamic Behavior of the Pantograph-Catenary System by Dongdong He, Qiang Gao, Wanxie Zhong

“…For this method, the matrix exponential of only one unit cell of the catenary is computed, which greatly improves the computational efficiency. …”
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Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms by R. Reena Roy, Leninisha Shanmugam, A. Vinothini, Nirmala Venkatachalam, G. Sumathy, Bhavadharini Murugeshan, P. Mercy Rajaselvi Beaulah, Gizachew Assefa Kerga

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Harnessing YOLOv11 for Enhanced Detection of Typical Autism Spectrum Disorder Behaviors Through Body Movements by Ayman Noor, Hanan Almukhalfi, Arthur Souza, Talal H. Noor

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The evolution of virtual identity: a systematic review of avatar customization technologies and their behavioral effects in VR environments by Hamid Ouhnni, Acim Btissam, Belhiah Meryam, Karim El Bouchti, Zaoui Seghroucheni Yassine, Souad Najoua Lagmiri, Benachir Rigalma, Soumia Ziti

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Thermal behavior of magnetized blood–CMS hybrid nanofluid with SWCNT and MWCNT suspensions: Prabhakar fractional model by Urwa Shehbaz, Sami Ullah Khan, Aboulbaba Eladeb, Nermeen Abdullah, Chemseddine Maatki, Lioua Kolsi

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A Systematic Review on Muscle Synergies: From Building Blocks of Motor Behavior to a Neurorehabilitation Tool by Rajat Emanuel Singh, Kamran Iqbal, Gannon White, Tarun Edgar Hutchinson

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DualCascadeTSF-MobileNetV2: A Lightweight Violence Behavior Recognition Model by Yuang Chen, Yong Li, Shaohua Li, Shuhan Lv, Fang Lin

“…Meanwhile, the model incorporates the efficient lightweight structure of MobileNetV2, significantly reducing the number of parameters and computational complexity. Experiments were conducted on three public violent behavior datasets, Crowd Violence, RWF-2000, and Hockey Fights, to verify the performance of the model. …”
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Analysis of College Students’ Consumption Behavior Data Based on Fractional-Order Firefly Optimization Clustering Algorithm by Xiang Meng, Qi He, Yanhua Dong, Hongyu Sun

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Enhanced Emotion-Aware Conversational Agent: Analyzing User Behavioral Status for Tailored Reponses in Chatbot Interactions by S. Abinaya, K. S. Ashwin, A. Sherly Alphonse

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Sustainability Impact of Online Consumption Behavior from the Perspective of Digital Empowerment: IndetermSoft Set with Application by Tao Shen, Chunmei Mao

“…This study uses decision-making methods for the Sustainability Evaluation of Online Consumption Behavior from the Perspective of Digital Empowerment. …”
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Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications by Ignacio Fidalgo Astorquia, Nerea Gómez-Larrakoetxea, Juan J. Gude, Iker Pastor

“…Fractional-order systems capture complex dynamic behaviors more accurately than integer-order models, yet their real-time identification remains challenging, particularly in resource-constrained environments. …”
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Swin-Panda: Behavior Recognition for Giant Pandas Based on Local Fine-Grained and Spatiotemporal Displacement Features by Xinyu Yi, Han Su, Peng Min, Mengnan He, Yimin Han, Gai Luo, Pengcheng Wu, Qingyue Min, Rong Hou, Peng Chen

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ENVIRONMENTAL LITERACY IN MIDDLE SCHOOL: ECOLOGICAL KNOWLEDGE, COGNITIVE SKILLS, ENVIRONMENTAL AFFECT, AND PRO-ENVIRONMENTAL BEHAVIOR by Nurasyah Dewi Napitupulu, Iin Novianti, Iduard Iduard, Rutmiyanti Rutmiyanti, Ibrahim Ibrahim, Katarina Selmi Embatau

“…Significance- Environmental affects are important in encouraging students' pro-environmental behavior and account for 54.2% of the variation in pro-environmental behavior. …”
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diaLogic: A Multi-Modal Framework for Automated Team Behavior Modeling Based on Speech Acquisition by Ryan Duke, Alex Doboli

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IndetermSoft Set for Digital Marketing Effectiveness Evaluation Driven by Big Data Based on Consumer Behavior by Tao Shen, Chunmei Mao

“…This study proposes the multi-criteria decision-making (MCDM) methodology for Digital Marketing Effectiveness Evaluation Driven by Big Data Based on Consumer Behavior. This study uses two MCDM methods such as the Entropy method to compute the criteria weights and the MARCOS method to rank the alternatives. …”
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Modeling Traders’ Behavior with Deep Learning and Machine Learning Methods: Evidence from BIST 100 Index by Afan Hasan, Oya Kalıpsız, Selim Akyokuş

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Modeling and Neural Network Approximation of Asymptotic Behavior for Delta Fractional Difference Equations with Mittag-Leffler Kernels by Pshtiwan Othman Mohammed, Muteb R. Alharthi, Majeed Ahmad Yousif, Alina Alb Lupas, Shrooq Mohammed Azzo

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NEV battery recycling innovation strategy considering pro-social behavior from the game theory perspective by Yaoqun Xu, Yi Zheng, Nan Xu

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Modeling and Validation of Material Removal Based on Rheological Behavior Under Dynamic-Viscosity Nonlinear Coupling Effects by Tianchen Zhao, Luguang Guo, Qilong Gao, Xu Wang, Binghai Lyu, Chen Li

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