[HTML][HTML] Redefining governance: a critical analysis of sustainability transformation in e-governance

Q Abbas, T Alyas, T Alghamdi, AB Alkhodre… - Frontiers in big …, 2024 - frontiersin.org
With the rapid growth of information and communication technologies, governments
worldwide are embracing digital transformation to enhance service delivery and governance …

[HTML][HTML] Revolutionizing Urban Mobility: IoT-Enhanced Autonomous Parking Solutions with Transfer Learning for Smart Cities

Q Abbas, G Ahmad, T Alyas, T Alghamdi, Y Alsaawy… - Sensors, 2023 - mdpi.com
Smart cities have emerged as a specialized domain encompassing various technologies,
transitioning from civil engineering to technology-driven solutions. The accelerated …

On the Effectiveness of Trivial Refactorings in Predicting Non-trivial Refactorings

D Pinheiro, C Bezerra, A Uchôa - Journal of Software Engineering …, 2024 - sol.sbc.org.br
Refactoring is the process of restructuring source code without changing the external
behavior of the software. Refactoring can bring many benefits, such as removing code with …

Analytical Study of OLTP Workload Management in Database Management System

S Rafique, R Mushtaq, L Anum, K Hamid… - Journal of Computing & …, 2024 - jcbi.org
This study determines the importance of enlightening OLTP library management systems to
provide a fast and unified experience to users. Using procedures such as query …

Classification of Microscopic Malaria Parasitized Images Using Deep Learning Feature Fusion

M Asim - Lahore Garrison University Research Journal of …, 2023 - lgurjcsit.lgu.edu.pk
An infectious disease that causes a chronic and potentially life-threatening infection caused
by microorganisms of the Plasmodium class, is malaria, or malarial disease. It is critical to …

Βελτίωση της διαχείρισης σφαλμάτων λογισμικού: μια προσέγγιση μηχανικής μάθησης για την ιεράρχηση και ταξινόμηση των αναφορών σφαλμάτων Jira

Ε Βίλλη - 2024 - dione.lib.unipi.gr
Η αποτελεσματική διαχείριση των αποθετηρίων σφαλμάτων στα συστήματα λογισμικού
αποτελεί σημαντική πρόκληση λόγω της συνεχούς και συντριπτικής ροής αναφορών νέων …

Machine Learning and Deep Learning Techniques to Predict Software Defects: A Bibliometric Analysis, Systematic Review, Challenges and Future Works

A Daza Vergaray, OG Apaza Pérez… - … Challenges and Future … - papers.ssrn.com
Abstract In Australia, approximately 66.00% of projects exceeded the programmed budget
and 33% were out of time, all of them due to software failures. The purpose of this study is to …