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Jordanian Journal of Computers and Information Technology
Scopus
ISSN 2413-9351 · Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) · 260 artikel di indeks
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Artikel Jurnal
ABPC-Net: A Capsule-guided Hybrid Framework for Robust Arabic-text Classification
Arabic Text Classification (ATC) remains challenging due to the Arabic language's morphological richness and semantic complexity. This paper proposes ABPC-Net, a hybrid framework integrating a frozen Arabic Transformer encoder, a Bidirectional LSTM, parallel multi-scale CNN branches, and a…
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Artikel Jurnal
Analysis of PCAP-derived Flow-based Traffic Representation for Lightweight Intrusion Detection
The proliferation of interconnected network infrastructures and IoT devices has significantly expanded the cyber-attack surface, requiring efficient Machine Learning-based Intrusion Detection Systems (IDS). Although reference datasets like UNSW-NB15 exist, their official features impose limitations…
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On the Effect of Keyhole Channel in RSMA Networks: A Theoretical Outage Analysis
This paper examines the theoretical performance of rate-splitting multiple access (RSMA) in keyhole fading channels. This rank-deficient environment is notorious for degrading the performance of traditional single-input single-output (SISO) systems. For a two-user downlink channel, exact and…
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FANET Dataset: UAV Communication Scenarios in NS-3.40
Flying Ad hoc Networks (FANETs) enable communication among unmanned aerial vehicles (UAVs) in highly dynamic and infrastructure-less environments. However, high mobility, limited onboard energy, and rapidly changing network topology make reliable communication and Quality of Service (QoS) assurance…
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Artikel Jurnal
On the Reliability and Spectral Efficiency of Multi-antenna AF Relay-aided NOMA Networks
This paper investigates a downlink cooperative non-orthogonal multiple access (NOMA) system assisted by a multi-antenna amplify-and-forward (AF) relay. Unlike conventional single-antenna relay configurations, the considered framework jointly exploits relay diversity and direct transmission links…
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Artikel Jurnal
DNM-EWS: A Dynamic Complex Network Framework for Propagation Malware Detection and Early Warning
The rapid propagation of malware within complex enterprise and Internet Service Provider (ISP) networks poses a critical and growing cybersecurity challenge. The traditional methods of detection are less effective when it comes to zero-day threats because they are mostly based on a static pattern…
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Fixed-set Learning for Cluster-head Selection in Multi-hop Wireless Sensor Networks
Wireless Sensor Networks (WSNs) have remained an active research field in both military and civilian domains, driven by the expanding diversity of their applications. In recent years, there has been a progressive shift toward integrating Artificial Intelligence to address the persistent challenge…
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Fountain Codes-based Hybrid Satellite Terrestrial Relay Multicast Schemes in Co-channel Interference Environment: Outage Performance, Joint Time and Power Allocations
In this paper, we study outage performance of hybrid satellite-terrestrial relay multicast schemes employing Fountain codes. In the considered schemes, a satellite attempts to transmit its data to a group of ground users with the assistance of a terrestrial relay station. In the conventional scheme…
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Interpretable Intrusion Detection with TabNet Attention Masks Enhanced by Information Gain and Grey Wolf Optimization
Network intrusion detection systems (NIDS) are critical for protecting modern cyber infrastructure against evolving threats. Traditional machine learning approaches often struggle with high-dimensional network traffic data and class imbalance. This paper proposes a novel hybrid intrusion detection…
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Artikel Jurnal
Brain-tumor Classification Using ResNet50 Enhanced with SE and CBAM Attention Mechanisms
MRI image classification of brain tumors is critical for accurate and early diagnosis. New developments in deep learning have revealed that inserting attention mechanisms into convolutional neural networks can greatly improve classification performance. This work assesses the effectiveness of…
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Artikel Jurnal
Multi-class Heart Disease Classification Using Multi-lead ECG Features and Ensemble Learning
Cardiovascular diseases (CVDs) are the leading causes of global mortality and require an early and precise diagnosis. This work presents an automated multiclass classifier for diagnosing cardiac disease from electrocardiogram (ECG) images through image processing and machine learning techniques…
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Artikel Jurnal
GEA-CoPe: An Effective Model for Cross-domain Graph Pretraining
Addressing the negative transfer problem in cross-domain graph pretraining under few-shot learning scenarios, this paper proposes a multi-component pretraining framework called Graph External Attention enhanced Coordinators for Pretraining (GEA-CoPe). This framework integrates multi-head external…
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A Scalable Federated Deep Reinforcement Learning Architecture for Collaborative Learning
Federated Learning enables collaborative model training without sharing raw data, while Deep Reinforcement Learning provides powerful mechanisms for sequential decision-making. However, their integration suffers from limited scalability, sensitivity to non-IID data, and unstable convergence in…
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VEGA-360: Viewport-Aware Hierarchical Grouped Allocation for Multi-Layer 360° Video Streaming
Delivering multi-layer, tiled 360° video to multiple wireless users is challenging due to limited radio resources, heterogeneous channel conditions, and a strong viewport-dependent quality of experience (QoE). To address this problem, we propose Viewport-Enhanced Grouped Allocation for 360° Video…
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Log-stat: an Illumination Balancing Algorithm for Archaeological Images Captured In Non-ideal Lighting
Archaeological images are occasionally captured in environments with non-ideal lighting. This results in imbalanced illumination and a loss of detail. These problems hinder precise operations such as analysis, interpretation, representation, and 3D modeling. This study introduces a non-complex…
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Ambient Backscatter-assisted Relaying in Symbiotic Radio Networks with Energy Harvesting: Performance Analysis
The proliferation of Internet of Things (IoT) devices in the transition towards 6G networks demands ultra-energy-efficient communication solutions capable of supporting massive connectivity. Ambient Backscatter Communication (AmBC) integrated with Energy Harvesting (EH) has emerged as a promising…
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Artikel Jurnal
HWR-PDNet: A Transfer Learning CNN for Parkinson's Detection from Handwriting Images
Parkinson's Disease (PD) is a progressive, chronic neurological disorder that is distinguished by abnormalities in the motor system. The condition can be detected in the early stage by the irregular handwriting of the individual. Early diagnosis is critical to enable timely therapeutic intervention…
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Artikel Jurnal
On the optimization of UAV Swarm ACO-Based Path Planning
Unmanned Aerial Vehicles (UAVs) play a crucial role in various operations, especially where human life must be protected. Efficient path planning and autonomous coordination are critical for UAV swarms in dynamic 3D cooperative missions, where real-time adaptability is essential. This work…
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Artikel Jurnal
Jordanian Arabic to Modern Standard Arabic Translation Using a Large Model Tuned on a Purpose-Built Dataset and Synthetic Error Injection
This paper addresses the challenge of accurately translating Jordanian Arabic into Modern Standard Arabic (MSA) and correcting common linguistic errors. Although MSA is the formal standard for Arabic communication, the widespread use of local dialects in social media and everyday interactions often…
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Artikel Jurnal
Advanced Deep Learning Techniques for Improved Cyberbullying Detection in Arabic Tweets
Cyberbullying has emerged as a pressing issue in the digital era, particularly within Arabic-speaking communities, where research remains limited. This study investigates the detection of Arabic cyberbullying on social media using both traditional machine learning (ML) and deep learning (DL)…