Results 11 to 20 of about 490,787 (262)

A novel art gesture recognition model based on two channel region-based convolution neural network for explainable human-computer interaction understanding

Computer Science and Information Systems, 2022
The application development of hot technology is both an opportunity and a challenge. The vision-based gesture recognition rate is low and real-time performance is poor, so various algorithms need to be studied to improve the accuracy and speed of ...
Pingping Li, Lu Zhao
semanticscholar   +1 more source

BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification

Health Information Science and Systems, 2023
Timely prognosis of brain tumors has a crucial role for powerful healthcare of remedy-making plans. Manual classification of the brain tumors in magnetic resonance imaging (MRI) images is a challenging task, which relies on the experienced radiologists ...
Basant S. Abd El-Wahab, Mohamed E. Nasr, S. Khamis, A. Ashour   +3 more
semanticscholar   +1 more source

Homophily modulates double descent generalization in graph convolution networks [PDF]

Proceedings of the National Academy of Sciences of the United States of America, 2022
Significance Graph neural networks (GNNs) have been applied with great success across science and engineering, but we do not understand why they work so well.
Chengzhi Shi, Liming Pan, Hong Hu, Ivan Dokmani'c   +3 more
semanticscholar   +1 more source

Refurbished and improvised model using convolution network for autism disorder detection in facial images

Indonesian Journal of Electrical Engineering and Computer Science, 2023
The main quality of deep learning over conventional machine learning (ML) techniques empowers firsthand uses in processing of images, speech recognition, medical imaging, machine translation and robotics, computer vision, and numerous other fields.
Narinderpal Kaur, Ganesh Gupta
semanticscholar   +1 more source

Developing an Efficient Cancer Detection and Prediction Tool Using Convolution Neural Network Integrated with Neural Pattern Recognition

BioMed Research International, 2023
The application of computational approaches in medical science for diagnosis is made possible by the development in technical advancements connected to computer and biological sciences.
Roshan Gangurde, Vishal Jagota, Mohammad Shahbaz Khan, V. S. Sakthi, Udaya Mouni Boppana, Bernard Osei, K. Kishore   +6 more
semanticscholar   +1 more source

Sparse nonnegative convolution is equivalent to dense nonnegative convolution [PDF]

Symposium on the Theory of Computing, 2021
Computing the convolution A ⋆ B of two length-n vectors A,B is an ubiquitous computational primitive, with applications in a variety of disciplines. Within theoretical computer science, applications range from string problems to Knapsack-type problems ...
K. Bringmann, N. Fischer, Vasileios Nakos   +2 more
semanticscholar   +1 more source

Facial Expression Recognition Using Enhanced Convolution Neural Network with Attention Mechanism

Computer systems science and engineering, 2022
Facial Expression Recognition (FER) has been an interesting area of research in places where there is human-computer interaction. Human psychology, emotions and behaviors can be analyzed in FER.
K. Prabhu, S. Sathishkumar, M. Sivachitra, S. Dineshkumar, P. Sathiyabama   +4 more
semanticscholar   +1 more source

Detection Method of Citrus Psyllids With Field High-Definition Camera Based on Improved Cascade Region-Based Convolution Neural Networks

Frontiers in Plant Science, 2022
Citrus psyllid is the only insect vector of citrus Huanglongbing (HLB), which is the most destructive disease in the citrus industry. There is no effective treatment for HLB, so detecting citrus psyllids as soon as possible is the key prevention measure ...
Fen Dai, Fengcheng Wang, Dongzi Yang, Shaoming Lin, Xin Chen, Yubin Lan, Xiaoling Deng   +6 more
semanticscholar   +1 more source

Facial Expression Recognition Using Local Gravitational Force Descriptor-Based Deep Convolution Neural Networks

IEEE Transactions on Instrumentation and Measurement, 2021
An image is worth a thousand words; hence, a face image illustrates extensive details about the specification, gender, age, and emotional states of mind.
Karnati Mohan, Ayan Seal, O. Krejcar, A. Yazidi   +3 more
semanticscholar   +1 more source

Deepfake video detection: YOLO-Face convolution recurrent approach

PeerJ Computer Science, 2021
Recently, the deepfake techniques for swapping faces have been spreading, allowing easy creation of hyper-realistic fake videos. Detecting the authenticity of a video has become increasingly critical because of the potential negative impact on the world.
Aya Ismail, Marwa S. Elpeltagy, M. Zaki, K. Eldahshan   +3 more
semanticscholar   +1 more source