Systematic Review of Experimental Paradigms and Deep Neural Networks for Electroencephalography-Based Cognitive Workload Detection
This article summarizes a systematic review of the electroencephalography (EEG)-based
cognitive workload (CWL) estimation. The focus of the article is twofold: identify the disparate …
cognitive workload (CWL) estimation. The focus of the article is twofold: identify the disparate …
A novel AI-driven EEG generalized classification model for cross-subject and cross-scene analysis
Artificial intelligence algorithms combined with electroencephalography (EEG) can
effectively identify and interpret patterns of brain activity. However, the considerable …
effectively identify and interpret patterns of brain activity. However, the considerable …
Cross-task-oriented EEG signal analysis methods: Our opinion
D Wen, Z Pang, X Wan, J Li, X Dong… - Frontiers in …, 2023 - frontiersin.org
Research on cross-task EEG signals analysis methods has become a fast-growing research
hotspot. In recent years, more and more researchers applied the features, which were widely …
hotspot. In recent years, more and more researchers applied the features, which were widely …
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift
Human-robot teams involve humans and robots collaborating to achieve tasks under various
environmental conditions. Successful teaming will require robots to adapt autonomously to a …
environmental conditions. Successful teaming will require robots to adapt autonomously to a …
基于BCI 与VR 的认知诊疗应用
万象隆， 傅岸峰， 要逸铎， 刘天歌， 段丁娜， 谢雪光… - 工程科学 …, 2025 - cje.ustb.edu.cn
认知涉及注意力, 记忆, 情感, 是人类获取和应用知识的基本过程. 随着全球老龄化加速,
认知障碍如轻度认知障碍(MCI), 阿尔茨海默病(AD) 和痴呆症已成为重大健康问题 …
认知障碍如轻度认知障碍(MCI), 阿尔茨海默病(AD) 和痴呆症已成为重大健康问题 …
Mindfulness Intervention Affects Cognitive Abilities of Students: A Time–Frequency Analysis Using EEG
The instantaneous frequency measurement is the primary focus of different variably-
dimensions signal processing applications. It addresses the non-stationarity of signals …
dimensions signal processing applications. It addresses the non-stationarity of signals …
Decision Making Using Various Machine Learning Models
124 Optimization and Machine Learning in Image Processing and loT animals, metals or
minerals. India is a rich source of traditional medicines and medicinal herbs, making it an …
minerals. India is a rich source of traditional medicines and medicinal herbs, making it an …
Artificial Intelligence-Based Smart Identification System Using Herbal Images
Ayurveda, the oldest and most conventional practice of Indian medicine, is essential for
establishing specialized remedies and therapies. Drugs used in ayurveda are made of …
establishing specialized remedies and therapies. Drugs used in ayurveda are made of …
[PDF][PDF] Recognition and quality mapping of traditional herbal drugs: way forward towards artificial intelligence
The use of traditional herbal drugs derived from natural sources is on the rise due to their
minimal side effects and numerous health benefits. However, a major limitation is the lack of …
minimal side effects and numerous health benefits. However, a major limitation is the lack of …
A CNN-based Machine Learning Model for the Identification of Herbal Drugs: A Case Study on Cumin
Background This research paper showcases the creation and assessment of a machine
learning model utilizing the Efficient Net B4 architecture for the identification of cumin herbs …
learning model utilizing the Efficient Net B4 architecture for the identification of cumin herbs …