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Jul 1, 2024 · It has enormous potential in the fields of human–robot interaction, remote sensing, virtual reality, and computer vision. Existing excellent methods primarily ...
May 1, 2024 · This paper proposes an efficient approach that combines spatial and temporal visual descriptors, sparse feature tracking, and neural networks for efficient ...
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May 14, 2024 · Read research published in the ACS Applied Materials & Interfaces Vol. 16 Issue 20 on ACS Publications, a trusted source for peer-reviewed journals.
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Oct 31, 2023 · This tutorial will present deep learning's profound potential in the context of designing sensors and sensor networks, showcasing how this cutting-edge approach ...
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5 days ago · Read research published in the ACS Nano Vol. 17 Issue 21 on ACS Publications, a trusted source for peer-reviewed journals.
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Jun 3, 2024 · ECCOMAS is a scientific organization founded in 1992, grouping together European associations with interests in the development and applications of ...
Jun 27, 2024 · ... robust framework for predictive analysis. Keywords. Code Churn Management, Version Control Systems, Artificial Intelligence, Hybrid Neural Networks, Predictive.
May 1, 2024 · The Design of Error-based Adaptive Robust RBF Neural Network Intelligent PID ... The Motor Control System for Transfer Robot of Smart Farm and Smart Factory.
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Mar 15, 2024 · Chattopadhyay, Model Learning for Robotic Manipulators using Recurrent Neural Networks, TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 2019. 746, R ...
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Sep 8, 2023 · The deployment of Unmanned Aerial Vehicles (UAVs) is witnessing an unparalleled expansion in recent years in various application domains.