Detecting refactoring type of software commit messages based on ensemble machine learning algorithms
Refactoring is a well-established topic in contemporary software engineering, focusing on
enhancing software's structural design without altering its external behavior. Commit …
enhancing software's structural design without altering its external behavior. Commit …
Optimized digital watermarking: Harnessing the synergies of Schur matrix factorization, DCT, and DWT for superior image ownership proofing
The contemporary context of abundant digital dissemination inherently gives rise to the need
for media protection and the clear identification of ownership rights. This paper responded to …
for media protection and the clear identification of ownership rights. This paper responded to …
Utilizing machine learning algorithms for task allocation in distributed agile software development
Distributed agile software development (DASD) has become a prominent software
development approach. Proper task allocation is crucial in DASD to avoid undesirable …
development approach. Proper task allocation is crucial in DASD to avoid undesirable …
[HTML][HTML] Trust Management and Resource Optimization in Edge and Fog Computing Using the CyberGuard Framework
The growing importance of edge and fog computing in the modern IT infrastructure is driven
by the rise of decentralized applications. However, resource allocation within these …
by the rise of decentralized applications. However, resource allocation within these …
Expert Phishing Detection System
Phishing attacks are a threat that continuously emphasizes the need for effective detection
methods. This paper presents a machine learning detection method that employs a random …
methods. This paper presents a machine learning detection method that employs a random …
[PDF][PDF] Rainfall Prediction Using Deep Learning Algorithms
Water scarcity presents a significant challenge for many countries. Given that rainfall serves
as the primary source of drinking water, irrigation, and various other purposes, the accuracy …
as the primary source of drinking water, irrigation, and various other purposes, the accuracy …
Optimizing Software Defect Detection using advanced Feature Selection, Ensemble Learning, and Class Imbalance Solutions.
Abstract Software Anamoly Prediction (SBP) is a vital process in software development,
designed to identify potential software defects early in the development lifecycle. Early …
designed to identify potential software defects early in the development lifecycle. Early …
[معلومات الإصدار][C] MAKİNE ÖĞRENMESİ İLE BELGE TANIMA
İSA YURDABAKAN - 2024