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Deep Learning-Based Pedestrian Detection in Autonomous Vehicles: Substantial Issues and Challenges
Iftikhar S., Zhang Z., Asim M., Muthanna A., Koucheryavy A., Abd El-Latif A.A.
) occlusion and deformation and (ii) low-quality and multi-spectral images. Recently, deep learning (DL
Soil organic carbon modelling with Multi-type environmental variables using machine learning
Tumuzghi Tesfay, Elsayed S.M.
Soil organic carbon modelling with Multi-type environmental variables using machine learning
Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network
Wang Shangshang, Jing Yuqin, Wang Kezhu, Wang Xue
. To address this challenge, we proposed a novel approach to optimize collaborative inference in a multi
Algorithm of the multilayer artificial feed-forward neural network learning
Mukha, V. S.
The algorithm of the multilayer feed-forward neural network learning is developed. The algorithm
RMNET: A Residual and Multi-scale Feature Fusion Network For High-resolution Image Semantic Segmentation
ZiRui Shen, Xin Li, Sheng Xu
understanding. Traditional encoder-decoder architec- ture networks lack multi-scale information fusion and fail
Multiparametric selection of distance learning tools using fuzzy approaches
Kramarov S.
be the basis for multi-parameter methods of their choice, providing automated selection of the base set support
MOBILE LEARNING-KNOWLADGE AT THE HAND
Bukina, M. P.
MOBILE LEARNING-KNOWLADGE AT THE HAND
Optimal robust online tracking control for space manipulator in task space using off-policy reinforcement learning
Zhuang H., Zhou H., Shen Q., Wu S., Razoumny V.Y., Razoumny Y.N.
uncertainty in task space in previous research. Based on off-policy reinforcement learning, a model
Organizing Blended Learning for Students on the Basis of Learning Roadmaps
Nadezhda M. Andreeva, Ivan P. Artyukhov, Elena G. Myagkova, Nikolay I. Pak, Zhamilya K. Akkasynova
The relevance of the problem of organizing blended learning for students is related
A study on learning styles and their possible effect on academic performance among university students in Glasgow
Ma Li.
To explore the preference of various learning styles of university students, the possible impact

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