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Sakarya University Journal of Computer and Information Sciences
Scopus
ISSN 2636-8129 · Sakarya University · 271 artikel di indeks
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Artikel Jurnal
HBIA-DNN Based Framework for Efficient Node Placement and Target Tracking in Wireless Sensor Networks
Wireless Sensor Networks (WSNs) represent a rapidly advancing technology with applications in diverse fields, including surveillance, smart environment development, and target tracking. Despite their versatility, WSNs continue to face persistent challenges in optimizing energy consumption and…
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Artikel Jurnal
Global Trends in Speaker Identification Under Voice Disguise: A 25-Year Review
Voice disguise is the technique by which a speaker deliberately changes their voice to conceal their identity. This poses a major challenge in the field of speaker identification. Due to these major challenges, research on disguised voices has significantly increased in security and forensic…
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Artikel Jurnal
Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection
This paper discusses the ways in which big data analytics and behavioral biometrics can prevent or detect digital fraud. We used Random Forests and Neural Networks as our machine learning models to learn the dynamics of users' keystroke, mouse movement, and touch interaction patterns to identify…
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Time-Resolved Wall Ion Flux Linked to Discharge Current Oscillations in an SPT-100-Type Electric Thruster
An SPT-100-type electric thruster is simulated at nominal operating conditions using a two-dimensional, axisymmetric, fully kinetic particle-in-cell/Monte Carlo collision (PIC/MCC) plasma model. The model reproduces PIVOINE facility measurements, predicting a thrust and discharge current of 77.2 mN…
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Artikel Jurnal
A Hybrid CNN Approach in Waste Classification
Recycling plays a vital role in environmental sustainability and the conservation of natural resources. However, increasing population, industrialization, and waste have increased the need for automation in waste sorting processes. This study investigated the performance of deep learning-based…
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Artikel Jurnal
Rule-Based Chatbot System Design for Decision-Making Processes: A Structured Approach to Statistical Analysis Selection
In this study, a rule-based chatbot system based on a Finite State Machine (FSM) was designed, devel-oped, and piloted to support the selection process for multivariate statistical analysis. Uncertainties and methodological errors encountered in statistical analysis selection make the…
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Artikel Jurnal
Design and Performance Analysis of a Dynamic Channel Allocation Method for IoT Systems with Finite Number of Nodes and Heterogeneous Data Traffics
This paper presents the design, modeling, and analysis of a dynamic channel allocation method for IoT systems with a finite number of nodes and heterogeneous data traffic types. The proposed method effectively supports both real-time and non-real-time data transmission over a sample IoT networking…
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Artikel Jurnal
Extending TAM and UTAUT for Meta-Banking Adoption Intention: Roles of Technostress, AR/VR Experience, and Perceived Value
This study examines the determinants of meta-banking adoption by extending the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to include technostress, AR/VR experience, and perceived value. Data from 312 respondents with prior AR/VR exposure…
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Artikel Jurnal
Optimizing Medical Image Diagnosis: The Role of Feature Selection in Deep Learning Models
The disorders that affect the lungs require a careful diagnosis, which relies on medical imaging such as chest X-rays for efficient detection. Convolutional neural networks show a lot of promise as a deep learning model in the automation of medical diagnosis, though in most cases, their success…
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Artikel Jurnal
Machine Learning-Based Emotion Classification from Voice Signals Using MFCC Central Tendency Features
Speech emotion recognition (SER) is a key challenge in affective computing, where subtle emotional cues are often embedded not in the linguistic content of speech but in the voice-related acoustic features. This study proposes a machine learning approach that leverages statistical descriptors of…
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Artikel Jurnal
Design and Implementation of a General-Purpose and Scalable Decision Support System Framework
Decision Support Systems facilitate timely and informed decision-making by integrating heterogeneous data sources, analytical models, and user interfaces into cohesive systems. This study introduces a general-purpose and scalable Decision Support System framework that supports just-in-time…
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Artikel Jurnal
From Black Box to Glass Box: A Survey of Explainable AI in Mammographic Screening
Breast cancer remains a leading global health concern, with early, accurate diagnosis through mammography being critical for effective treatment. The emergence of artificial intelligence (AI) has revolutionized breast cancer screening, yet the opacity of “black box” models in clinical applications…
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Artikel Jurnal
ViT-HAR: Vision Transformer-Based Human Activity Recognition in Cluttered Environments
In the real world, Human Activity Recognition (HAR) remains challenging due to issues such as occlusion, dynamic backgrounds, and visual noise. Traditional models, such as CNNs, RNNs, and ST-GCNs, have constraints, including a small receptive field and the use of local features, which also reduce…
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Artikel Jurnal
Performance Comparison of Multimodal Vision-Language Models in Classifying Turkish Dishes
This study presents the first comprehensive benchmark of seven open-source multimodal vision-language models with Turkish language support—namely, Aya Vision 32B, Gemma 3 27B, InternVL3 38B, Qwen2-VL 72B-AWQ, Qwen2.5-VL 72B-AWQ, Cosmos-LLaVA, and Phi-4 Multimodal—on two image datasets of Turkish…
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Artikel Jurnal
A Blockchain-Based Smart Ambulance System to Combat Infectious Diseases
Infectious diseases can appear suddenly, spreading harm from a single household to multiple countries. The world has seen this happen repeatedly, starting from influenza and tuberculosis to more recent out-breaks of Ebola, cholera, and COVID-19. While many precautions have been taken to protect…
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Artikel Jurnal
ZkPSLB: Zero-Knowledge Proof-Empowered End-to-End Secured Lightweight Blockchain Framework For Smart Cities
Recently, developing technologies for smart cities, although scalable and cost-effective, have been challenging to provide anonymous verification and on-chain integrity with low overhead due to the increasing attack surface. We propose ZkPSLB, a layered end-to-end security framework to address the…
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Artikel Jurnal
From Traditional Methods to Artificial Intelligence: A Review of Non-Line-of-Sight Analysis Techniques
This study explores the current state, core methodologies, and major challenges associated with non-line-of-sight (NLOS) sensing technologies. NLOS sensing enables the detection of objects and individuals outside the direct field of view and has critical applications in disaster response, security…
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Artikel Jurnal
Deep Learning Autoencoder for denoising Medical Images
Medical image examination is crucial for accurate diagnosis and treatment plan of medical disorders in the human body. Medical images are corrupted by noise, which obscures important details, leading to misinterpretation and wrong diagnosis of the images. Image denoising methods are employed to…
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Artikel Jurnal
Comparative Analysis of Lightweight Vision Transformers and CNNs for Efficient Bacterial Species Classification
Food safety requires rapid and accurate bacterial identification to prevent disease and economic losses. This study compares three lightweight deep learning models—Tiny-ViT, ShuffleNetV2, and EfficientNet-Lite—for classifying 33 bacterial species from a combined public dataset. Models were trained…
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Artikel Jurnal
Design and Performance Evaluation of a Dual-Band Microstrip Antenna for IoT Wireless Connectivity
The rapid adoption of wireless communication technologies has become indispensable for supporting the data requirements of Internet of Things (IoT) applications. In this work, a compact microstrip antenna is introduced for use in IoT devices, operating in two frequency ranges: 2.11-3.25 GHz and…