Citing Works
Exploring opportunities of Artificial Intelligence in aquaculture to meet increasing food demand
Mohd Ashraf Rather, Ishtiyaq Ahmad, Azra Shah, Younis Ahmad Hajam, Adnan Amin, Saba Khursheed, Irfan Ahmad, Showkat Rasool
Food Chemistry X · 2024
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Exploring salary trends in data science, artificial intelligence, and machine learning: A comprehensive analysis
Mohammed Reyasudin Basir Khan, Gazi Md. Nurul Islam, Poh Kiat Ng, Ahmad Anwar Zainuddin, Chong Peng Lean, Jabbar Al-Fattah Yahaya, Atikah Balqis Basri, Saidatul Izyanie Kamarudin
AIP conference proceedings · 2024
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Exploring Skin Potential Signals in Electrodermal Activity: Identifying Key Features for Attention State Differentiation
Yiyang Huang, Zhicong Zhang, Yanbin Yang, Pu‐Chun Mo, Zhenghao Zhang, Jiadong He, Shaohua Hu, Xiaozhi Wang, Yubo Li
IEEE Access · 2024
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Exploring the Nexus of Mental Health Research and Data Synthesis: Role of Medical Data Quality in Machine Learning for Addiction Studies
Wafia Abada, Abdelkrim Bouramoul
2024
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Exploring the Role of Artificial Intelligence in Digital Marketing Strategies
Jawad Tauheed, Aumir Shabbir, Muhammad Shahid Pervez
Journal of Business Communication & Technology · 2024
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Extracting Urban Built-up Areas from Optical and Radar Data Fusion using Machine Learning Algorithms
Wubalem Woreket, Gebeyehu Abebe
International Journal of Image and Data Fusion · 2024
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Facial expression recognition (FER) survey: a vision, architectural elements, and future directions
Sana Ullah, Jie Ou, Yuanlun Xie, Wenhong Tian
PeerJ Computer Science · 2024
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Factors Influencing the Adoption of AI-Powered Chatbots in the Moroccan Banking Sector: An Extended UTAUT Model
Journal of Logistics Informatics and Service Science · 2024
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Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models
Matheus Dalmolin, Karolayne S. de Azevedo, Luísa C. de Souza, Caroline Brunetto de Farias, Martina Lichtenfels, Marcelo A. C. Fernandes
AI · 2024
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FEM-driven machine learning approach for characterizing stress magnitude, peak temperature and weld zone deformation in ultrasonic welding of metallic multilayers: application to battery cells
Feras Mohammed Al-Matarneh
Modelling and Simulation in Materials Science and Engineering · 2024
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