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Subject noncontingent EEG-based emotion detection using deep learning algorithm
This paper proposes electroencephalography (EEG)-based emotion recognition subject
noncontingent approach using 32, 3, 2, and single channel. The subject noncontingent …
noncontingent approach using 32, 3, 2, and single channel. The subject noncontingent …
Fine-Grained Drug Interaction Extraction Based on Entity Pair Calibration and Pre-Training Model for Chinese Drug Instructions
X Zhang, F Gao, L Zhou, S **g, Z Wang… - … Journal on Semantic …, 2022 - igi-global.com
Existing pharmaceutical information extraction research often focus on standalone entity or
relationship identification tasks over drug instructions. There is a lack of a holistic solution for …
relationship identification tasks over drug instructions. There is a lack of a holistic solution for …
A Deep Q-Network Eith Experience Optimization (DQN-EO) for Atari's Space Invaders and Its Performance Evaluation
E Kulla - International Journal of Distributed Systems and …, 2022 - igi-global.com
During recent years, the deep Q-Learning is used to solve different complex problems in
different fields. However, Deep Q-Learning does not have a unified method for solving …
different fields. However, Deep Q-Learning does not have a unified method for solving …
Review of Healthcare Management
This chapter aims to briefly describe the healthcare sector's past, present, and prospects. In
recent years, the healthcare sector has grown tremendously in our country. People have …
recent years, the healthcare sector has grown tremendously in our country. People have …