Load Margin Assessment of Power Systems Using Physics-Informed Neural Network with Optimized Parameters
MEC Bento - Energies, 2024 - mdpi.com
Challenges in the operation of power systems arise from several factors such as the
interconnection of large power systems, integration of new energy sources and the increase …
interconnection of large power systems, integration of new energy sources and the increase …
Using Learning Focal Point Algorithm to Classify Emotional Intelligence
A Sakhi, SE Mansour, A Sekkaki - Journal of Robotics and Control …, 2024 - journal.umy.ac.id
Recognizing the fundamental role of learners' emotions in the educational process, this
study aims to enhance educational experiences by incorporating emotional intelligence (EI) …
study aims to enhance educational experiences by incorporating emotional intelligence (EI) …
Multimodal and Multidomain Feature Fusion for Emotion Classification Based on Electrocardiogram and Galvanic Skin Response Signals
Emotion classification using physiological signals is a promising approach that is likely to
become the most prevalent method. Bio-signals such as those derived from …
become the most prevalent method. Bio-signals such as those derived from …
Applied Linguistics driven Artificial Intelligence for Automated Sentiment Detection and Classification
AQA Hassan - Full Length Article, 2024 - americaspg.com
The widespread dissemination of World Wide Web has paved the way to express individual
sentiments. Also, it is a medium with a massive quantity of data where the user can view the …
sentiments. Also, it is a medium with a massive quantity of data where the user can view the …
[PDF][PDF] A MARKET ANALYSIS OF ARTIFICIAL INTELLIGENCE APPLICATIONS OF EMOTIONAL RECOGNITION
SE Koç - romanpub.com
The recognition of emotions employs many artificial intelligence methods with different data
that come from facial expressions, electroencephalogram, voice analysis, music emotion …
that come from facial expressions, electroencephalogram, voice analysis, music emotion …
[引用][C] Hybrid Neural Network Approach for Tea Leaf Disease Detection Using Pelican and Mayfly Optimization Algorithms
SBH Al-Karawi, H Koyuncu - Jurnal Riset Informatika, 2024