Vision transformers have recently become popular as a possible alternati...
Transformers, due to their ability to learn long range dependencies, hav...
Convolutional neural networks have made significant strides in medical i...
Designing an intrusion detection system is difficult as network traffic
...
Deep Reinforcement Learning (DRL) uses diverse, unstructured data and ma...
The Coronavirus (COVID-19) outbreak in December 2019 has become an ongoi...
Autonomous modeling of artificial swarms is necessary because manual cre...
Interaction between devices, people, and the Internet has given birth to...
Brain tumors analysis is important in timely diagnosis and effective
tre...
Automatic segmentation of shoulder muscle MRI is challenging due to the ...
Malicious activities in cyberspace have gone further than simply hacking...
COVID-19 is a highly contagious respiratory infection that has affected ...
Higgs boson is a fundamental particle, and the classification of Higgs
s...
COVID-19 is a global health problem. Consequently, early detection and
a...
Empirical evaluation of breast tissue biopsies for mitotic nuclei detect...
Accurate and reliable prediction of wind speed is a challenging task, be...
In case of behavior analysis of a malware, categorization of malicious f...
Detection and Analysis of a potential malware specifically, used for ran...
During the last two decades, Genetic Programming (GP) has been largely u...
A churn prediction system guides telecom service providers to reduce rev...
Deep Convolutional Neural Networks (CNNs) are a special type of Neural
N...
Transfer Learning (TL) in Deep Neural Networks is gaining importance bec...
Wind energy forecasting helps to manage power production, and hence, red...
We present a novel architectural enhancement of Channel Boosting in deep...