Self-adaptive software can assess and modify its behavior when the asses...
The Coronavirus, known as COVID-19, which appeared in 2019 in China, has...
Handwriting recognition is one of the active and challenging areas of
re...
Background and Purpose: Convolutional neural network is widely used for ...
Type 2 Diabetes is one of the most major and fatal diseases known to hum...
Facial emotional recognition is one of the essential tools used by
recog...
One of the popular metaheuristic search algorithms is Harmony Search (HS...
Accurate emotion classification for online reviews is vital for business...
Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread
alg...
This study presents a novel training algorithm depending upon the recent...
The prediction of stock price movement direction is significant in finan...
Background and aim: Surgical telepresence using augmented perception has...
One popular example of metaheuristic algorithms from the swarm intellige...
Health records data security is one of the main challenges in e-health
s...
Background and Aim: Recently, deep learning using convolutional neural
n...
Background and aim: Most of the Mixed Reality models used in the surgica...
Background and aim: Image registration and alignment are the main limita...
Purpose: The development of metaheuristic algorithms has increased by
re...
This paper works on one of the most recent pedestrian crowd evacuation
m...