Results 251 to 260 of about 7,822,395 (293)

Computer-assisted predictions of signal peptidase processing sites

Biochemical and Biophysical Research Communications, 1987
Jeffrey I. Gordon, Rodney Folz
exaly   +2 more sources

Computer Assisted Diagnosis of Breast Cancer Using Histopathology Images and Convolutional Neural Networks

CSI International Symposium on Artificial Intelligence and Signal Processing, 2022
In recent years, breast cancer has become one of the most prevalent kinds of cancer. Breast Ultrasound, Diagnostic Mammogram, Magnetic Resonance Imaging (MRI), and other imaging modalities are routinely used to diagnose breast cancer.
Chinnapapakkagari Sreenivasa Vikranth, B. Jagadeesh, Kanna Rakesh, Doriginti Mohammad, Sruthi Krishna, R. S   +5 more
semanticscholar   +1 more source

Computer Vision Assisted Artificial Intelligence Enabled Smart Traffic Control System for Urban Transportation Management

International Conference on Interaction Sciences, 2023
Nowadays, computer Vision (CV) and Artificial Intelligence (AI) technologies in traffic management systems has emerged as a potential solution to alleviate traffic-related issues in metropolitan and urban cities.
Abubeker K. M., R. G., D. T, D. S., Minu Mohan, Sumisha M S, R. V   +6 more
semanticscholar   +1 more source

Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification

Biomedical Signal Processing and Control, 2021
The exponential growth of a multitude of cardiovascular diseases, leading to life frightening conditions, makes fast and accurate computer-aided techniques that are relevant and important to identify these lethally medical anomalies.
Priyadarshiny Dhar, S. Dutta, Vivek Mukherjee   +2 more
semanticscholar   +1 more source

A model-free technique based on computer vision and sEMG for classification in Parkinson's disease by using computer-assisted handwriting analysis

Pattern Recognition Letters, 2019
Patients suffering from Parkinson’s disease are characterized by an abnormal handwriting activity since they have difficulties in motor coordination and a decline in cognition.
Claudio Loconsole, Giacomo Donato Cascarano, Antonio Brunetti, G. F. Trotta, Giacomo Losavio, V. Bevilacqua, E. Di Sciascio   +6 more
semanticscholar   +1 more source

Development of IoT Based Brain Computer Interface for Motor Function Detection Using EEG Signal Processing

2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)
In motor function rehabilitation, the manual control of exoskeleton system is replaced with the closed-loop brain-computer interface (BCI). Powered ankle foot orthosis was used for gait rehabilitation and locomotion assistance.
P. S. Venugopal, R. K., Ravindrakumar Selvaraj   +2 more
semanticscholar   +1 more source

Future-Proofing Programmers: Optimal knowledge tracing for artificial intelligence-assisted personalized education [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective]

IEEE Signal Processing Magazine
Learning to learn is becoming a science, driven by the convergence of knowledge tracing, signal processing, and generative artificial intelligence (GenAI) to model student learning states and optimize education.
Yu-Chen Wang, Pei-Duo Yu, Chee-Wei Tan
semanticscholar   +1 more source

Design and performance study of a BMI-based hand-assisted robot

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA), 2022
Forty-six percent of stroke patients, of whom 80 percent are not treated in a timely manner, have hand paralysis syndrome that lasts a lifetime. The integration and control of external rehabilitation devices based on EEG signal collection is gaining more
Jia-Yi Cai, Jia-Liang Cai
semanticscholar   +1 more source

Future-Proofing Programmers: Optimal Knowledge Tracing for AI-Assisted Personalized Education

arXiv.org
Learning to learn is becoming a science, driven by the convergence of knowledge tracing, signal processing, and generative AI to model student learning states and optimize education. We propose CoTutor, an AI-driven model that enhances Bayesian Knowledge
Yu-Chen Wang, Pei-Duo Yu, Chee-Wei Tan
semanticscholar   +1 more source

Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery.

Neuroscience
Stroke is a leading cause of disability worldwide, driving the need for advanced rehabilitation strategies. The integration of Artificial Intelligence (AI) into stroke rehabilitation presents significant advancements across the continuum of care, from ...
S. Kopalli, Madhu Shukla, B. Jayaprakash, M. Kundlas, Ankur Srivastava, Jayant Jagtap, M. Gulati, S. Chigurupati, Eiman Ibrahim, P. Khandige, Darío Salguero García, S. Koppula, Amin Gasmi   +12 more
semanticscholar   +1 more source