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Toplam kayıt 68, listelenen: 61-68
Differential Evolution-Based Neural Architecture Search for Brain Vessel Segmentation
(Elsevier, 2024)
Brain vasculature analysis is critical in developing novel treatment targets for neurodegenerative diseases.
Such an accurate analysis cannot be performed manually but requires a semi-automated or fully-automated
approach. ...
A Bioinspired Test Generation Method Using Discretized and Modified Bat Optimization Algorithm
(MDPI, 2024)
The process of software development is incomplete without software testing. Software
testing expenses account for almost half of all development expenses. The automation of the testing
process is seen to be a technique ...
Evolutionary Architecture Optimization for Retinal Vessel Segmentation
(IEEE, 2023)
Retinal vessel segmentation (RVS) is crucial
in medical image analysis as it helps identify and monitor
retinal diseases. Deep learning approaches have shown
promising results for RVS, but designing optimal neural
network ...
Radar Placement Optimization Based on Adaptive Multi-Objective Meta-Heuristics
(Elsevier, 2024)
Airspace surveillance is a significant issue for many countries to control and manage their airspace. The
number of radars used and their coverage rate are the main issues to consider in this case. Therefore, this
paper ...
Detecting SQL Injection Attacks by Binary Gray Wolf Optimizer and Machine Learning Algorithms
(Springer, 2024)
SQL injection is one of the important security issues in web applications because it allows an attacker to interact with the
application’s database. SQL injection attacks can be detected using machine learning algorithms. ...
Enhancing Resolution and Contrast in Fibre Bundle-Based Fluorescence Microscopy Using Generative Adversarial Network
(Wiley, 2024)
Fibre bundle (FB)-based endoscopes are indispensable in biology and medical
science due to their minimally invasive nature. However, resolution and contrast
for fluorescence imaging are limited due to characteristic ...
Sahand: A Software Fault-Prediction Method Using Autoencoder Neural Network and K-Means Algorithm
(Springer, 2024)
Software is playing a growing role in many safety-critical applications, and software systems dependability is a major concern. Predicting faulty modules of software before the testing phase is one method for enhancing ...
Formation Control of Multiple Autonomous Mobile Robots Using Turkish Natural Language Processing
(MDPI, 2024)
People use natural language to express their thoughts and wishes. As robots reside in
various human environments, such as homes, offices, and hospitals, the need for human–robot
communication is increasing. One of the ...