Browse Items (10 total)
- Collection: Vol. 14 No. 3 (2025): September 2025
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A Comparative Analysis of Deep Learning Models
for Detection of Lumpy Skin Disease with emphasis
on Shifted Window Transformers
Lumpy Skin Disease (LSD) in cattle is an increasingly
prevalent viral infection with significant economic impact.
Traditional detection methods are often labor-intensive and
delayed. In this study, five state-of-the-art deep learning…
prevalent viral infection with significant economic impact.
Traditional detection methods are often labor-intensive and
delayed. In this study, five state-of-the-art deep learning…
A Lightweight 3D Convolutional Network for
Hyperspectral–LiDAR Patch Classification
We propose a simple yet effective threedimensional convolutional neural network (3D-CNN) for urban
land-cover classification using co-registered hyperspectral
imagery (HSI) and LiDAR data. The network treats the entire
spectral-LiDAR stack as a…
land-cover classification using co-registered hyperspectral
imagery (HSI) and LiDAR data. The network treats the entire
spectral-LiDAR stack as a…
Aspect-Based Sentiment Analysis for Turkish
Reviews Using Token and Sequential Classification
Methods
Aspect-Based Sentiment Analysis (ABSA) aims to
identify sentiments expressed toward specific aspects or attributes
of entities in text. This study addresses the under-explored area of
ABSA in the Turkish language by extracting aspect terms…
identify sentiments expressed toward specific aspects or attributes
of entities in text. This study addresses the under-explored area of
ABSA in the Turkish language by extracting aspect terms…
Assessing IPv6 Readiness and Adoption in
Palestine, A Case Study with Strategic
Recommendations
This research examines the current state of IPv6
adoption in Palestine, comparing it to the global and regional
adoption trends, particularly in Arab countries. While the
global IPv6 adoption rate exceeds 45%, and Arab countries
average 12.79%,…
adoption in Palestine, comparing it to the global and regional
adoption trends, particularly in Arab countries. While the
global IPv6 adoption rate exceeds 45%, and Arab countries
average 12.79%,…
Automated Techniques for Detecting Healthcare
Associated Infections: A Review
Automated detection of Healthcare-Associated
Infections (HAIs) faces major obstacles due to unclear
medical documentation, scarcity of well-annotated data,
and multiple symptoms that overlap between HAIs. This
review investigates recent advances…
Infections (HAIs) faces major obstacles due to unclear
medical documentation, scarcity of well-annotated data,
and multiple symptoms that overlap between HAIs. This
review investigates recent advances…
Comparison with Deep Learning Methods For
Predicting Stock Prices
Recently, machine learning has been an essential tool
for analysis in diverse fields, including science, sports
management, and economics. In particular, the stock market
comprises a complex network of buyers and sellers engaged in
stock trading.…
for analysis in diverse fields, including science, sports
management, and economics. In particular, the stock market
comprises a complex network of buyers and sellers engaged in
stock trading.…
Development of an NFC-Based Tracking System for
Production, Inventory, and Maintenance in
Manufacturing
This paper presents the development, implementation,
and evaluation of a computational system for integrating
production control, inventory management, and maintenance
operations in a manufacturing company using Near Field
Communication (NFC)…
and evaluation of a computational system for integrating
production control, inventory management, and maintenance
operations in a manufacturing company using Near Field
Communication (NFC)…
Lightweight Proof-of-Stake Models for PrivacyPreserving Telemedicine Systems: A Systematic
Review
Proof of Stake (PoS) models are energy-efficient and
require limited computational power. These features are critical in
telemedicine environments, where resource-constrained devices
must handle sensitive data securely. The growing need…
require limited computational power. These features are critical in
telemedicine environments, where resource-constrained devices
must handle sensitive data securely. The growing need…
The Trade-Off Between Anonymity and
Accountability in Blockchain: A Framework for
Secure and Compliant Systems
Blockchain technology has revolutionized
digital transactions by offering decentralization,
transparency, and immutability. However, its inherent
transparency often conflicts with the need for user
privacy and anonymity, raising significant…
digital transactions by offering decentralization,
transparency, and immutability. However, its inherent
transparency often conflicts with the need for user
privacy and anonymity, raising significant…
Topics, Trends, and Sentiments in Software Testing:
An Analysis of Developers’ Engagement on Stack
Overflow
This study investigated software testing
discussions on Stack Overflow from 2020 to 2024 to
uncover key trends, topics, and developer sentiments. 14
key topics, including unit testing, machine learning
testing, mobile testing (especially…
discussions on Stack Overflow from 2020 to 2024 to
uncover key trends, topics, and developer sentiments. 14
key topics, including unit testing, machine learning
testing, mobile testing (especially…