The assessment of the well-being of the peripheral auditory nerve system...
This study proposes the GOOSE algorithm as a novel metaheuristic algorit...
A lately created metaheuristic algorithm called Child Drawing Developmen...
This study presents the vectorization of metaheuristic algorithms as the...
Nature-Inspired Computing or NIC for short is a relatively young field t...
Child drawing development optimization (CDDO) is a recent example of a
m...
Global optimization problems are frequently solved using the practical a...
This chapter proposes using the Moth Flame Optimization (MFO) algorithm ...
This paper proposes the multi objective variant of the recently introduc...
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...
The prior detection of a heart attack could lead to the saving of one's ...
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...
Economic Load Dispatch depicts a fundamental role in the operation of po...
Automated brain tumor detection is becoming a highly considerable medica...
This discusses a case study on Fitness Dependent Optimizer or so-called ...
The performance of most evolutionary metaheuristic algorithms relays on
...
Accurate emotion classification for online reviews is vital for business...
Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread
alg...
There is no doubt that new technology has become one of the crucial part...
In this work, a new multiobjective optimization algorithm called
multiob...
One of the most important ways to experience communication and interact ...
This study presents a novel training algorithm depending upon the recent...
In this paper, a novel swarm intelligent algorithm is proposed called an...
The prediction of stock price movement direction is significant in finan...
With the increasing number of samples, the manual clustering of COVID-19...
Evolutionary clustering algorithms have considered as the most popular a...
Fitness Dependent Optimizer (FDO) is a recent metaheuristic algorithm th...
Background and aim: Surgical telepresence using augmented perception has...
One popular example of metaheuristic algorithms from the swarm intellige...
It is beneficial to automate the process of deriving concept hierarchies...
Health records data security is one of the main challenges in e-health
s...
Background and Aim: Recently, deep learning using convolutional neural
n...
This paper proposes a novel metaheuristic Child Drawing Development
Opti...
The reliable and rapid identification of the COVID-19 has become crucial...
Real-time detection of COVID-19 using radiological images has gained pri...
The COVID19 pandemic globally and significantly has affected the life an...
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...
In recent years several swarm optimization algorithms, such as Bat Algor...
Clustering is a commonly used method for exploring and analysing data wh...
This paper works on one of the most recent pedestrian crowd evacuation
m...
A novel evolutionary algorithm called learner performance based behavior...
Low power wide area (LPWA) technologies are strongly recommended as the
...
Next word prediction is an input technology that simplifies the process ...