Results 111 to 120 of about 422,144 (319)

Fault Prediction and Diagnosis of Power Electronic Systems in Smart Grids [PDF]

ITM Web of Conferences
With the rapid development of smart grids, the stability and reliability of power electronic systems have become key challenges. Traditional fault diagnosis methods are difficult to deal with the complex and changeable operating environment and massive ...
Jia Lingan
doaj   +1 more source

Artificial Neural Network and Deep Learning: Fundamentals and Theory

"Artificial Neural Network and Deep Learning: Fundamentals and Theory" offers a comprehensive exploration of the foundational principles and advanced methodologies in neural networks and deep learning. This book begins with essential concepts in descriptive statistics and probability theory, laying a solid groundwork for understanding data and ...
openaire   +2 more sources

Intrusion detection using artificial neural networks and supervised deep learning

, 2022
MSc (Computer Science), North-West University, Potchefstroom Campus One of the most challenging problems facing researchers and security experts today is protecting digital assets from the rising number of threats emerging from large networks, such as the Internet daily.
openaire   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

THE RISE OF DEEP LEARNING AND NEURAL NETWORKS: REVOLUTIONIZING ARTIFICIAL INTELLIGENCE

European Journal of Computer Science and Information Technology
This comprehensive article explores the transformative impact of deep learning and neural networks on artificial intelligence and various industries. It delves into the fundamental principles of deep learning, highlighting its remarkable performance in tasks such as image recognition, natural language processing, and speech recognition.
openaire   +2 more sources

Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network

, 2020
Rui Chen, Meiling Wang, Yi Lai
openalex   +2 more sources

Artificial Neural Network for Rainfall Analysis Using Deep Learning Techniques

, 2021
S D Nandakumar, R. Valarmathi, P Sudha Juliet, G. Brindha   +3 more
openalex   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Cap‐oPMN: Oral Inflammatory Load Quantification Using Capillary Microfluidics and Automated Image Processing

Advanced Materials Technologies, EarlyView.
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani, Azam Zare, Fatemeh Soheili, S. M. Mahdi H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh, Amir Sanati‐Nezhad   +9 more
wiley   +1 more source

Guardians of the Grid: A Collaborative AI System for DDoS Detection in Autonomous Vehicles Infrastructure

Information
Distributed Denial-of-Service (DDoS) attacks represent a pervasive and critical threat to autonomous vehicles, jeopardizing their operational functionality and passenger safety. The ease with which these attacks can be launched contrasts sharply with the
Amir Djenna, Saida Tamadartaza, Riham Oucief, Usman Javed Butt   +3 more
doaj   +1 more source