Dynamic Real-Time Anchor Selection for Accurate UWB Indoor Positioning-Based Deep Neural Networks by Ammar Fahem Majeed, Rashidah Arsat, Muhammad Ariff Baharudin, Nurul Mu'Azzah Abdul Latiff, Abbas Albaidhani

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Lightweight Deep Learning for sEMG-Based Fingers Position Classification and Embedded System Deployment by Victor H. Benitez, Jesus Pacheco, Guillermo Cuamea-Cruz

“…This paper presents a lightweight deep learning approach for classifying and tracking finger positions based on surface electromyography (sEMG) signals, designed with a perspective of its implementation in embedded systems. …”
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Traj-Q-GPSR: A Trajectory-Informed and Q-Learning Enhanced GPSR Protocol for Mission-Oriented FANETs by Mingwei Wu, Bo Jiang, Siji Chen, Hong Xu, Tao Pang, Mingke Gao, Fei Xia

“…Routing in flying ad hoc networks (FANETs) is hindered by high mobility, trajectory-induced topology dynamics, and energy constraints. Conventional topology-based or position-based protocols often fail due to stale link information and limited neighbor awareness. …”
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Comparative Analysis of Prediction Models for Trawling Grounds of the Argentine Shortfin Squid <i>Illex argentinus</i> in the Southwest Atlantic High Seas Based on Vessel Position... by Delong Xiang, Yuyan Sun, Hanji Zhu, Jianhua Wang, Sisi Huang, Shengmao Zhang, Famou Zhang, Heng Zhang

“…Given the near-real-time nature of vessel position data, fishing ground dynamics can be monitored in near real time. The successful development of vessel position-based prediction models aids enterprises in reducing fuel and time costs associated with indiscriminate squid searches, enhancing trawling efficiency. …”
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Variable-Parameter Impedance Control of Manipulator Based on RBFNN and Gradient Descent by Linshen Li, Fan Wang, Huilin Tang, Yanbing Liang

“…This method employs a position-based impedance control structure that integrates iterative learning control principles with a gradient descent method to dynamically adjust impedance parameters. …”
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