Computer/IT
Journals
- Journal of Software Engineering Tools & Technology Trends 194 articles
- Journal of Multimedia Technology & Recent Advancements 193 articles
- Journal of Operating Systems Development & Trends 189 articles
- International Journal of Mobile Computing Technology 39 articles
- Journal of Mobile Computing, Communications & Mobile Networks 201 articles
- Recent Trends in Programming languages 187 articles
- Journal of Advances in Shell Programming 187 articles
- Journal of Advanced Database Management & Systems 204 articles
- Recent Trends in Parallel Computing 188 articles
- Journal of Communication Engineering & Systems 257 articles
- International Journal of Data Structure Studies 38 articles
- International Journal of Computer Science Languages 36 articles
- Journal of Web Engineering & Technology 201 articles
- Research & Reviews: A Journal of Embedded System & Applications 197 articles
- E-Commerce for Future & Trends 208 articles
- Journal of Image Processing & Pattern Recognition Progress 223 articles
- Journal Of Network security 212 articles
- International Journal of Algorithms Design and Analysis Review 42 articles
- Journal of Computer Technology & Applications 311 articles
- Current Trends in Information Technology 230 articles
- International Journal of Image Processing and Pattern Recognition 1 article
- Journal of Open Source Developments 186 articles
- Journal of Advancements in Robotics 193 articles
- Journal of Artificial Intelligence Research & Advances 321 articles
- International Journal of Wireless Security and Networks 37 articles
- International Journal of Software Computing and Testing 5 articles
- International Journal of Wireless Network Security 1 article
- International Journal of Information Security Engineering 39 articles
Recently published
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Enhancing Data Security and Privacy in Machine Learning Using Federated
Abstract: Federated learning is a way of training machine learning models. It does this across devices or organizations without putting all the raw data in one place. This helps to keep data secure in modern artificial intelligence systems. This paper looks at how federated learning helps to keep data from being seen reduces the chance of something going wrong and lets people keep control over information. This makes the whole security …
Published in Journal Of Network security Read article
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Translation Issues and Problems in Automation of Sign Language
Abstract: Over 466 million people, including 432 million adults and 34 million children, have hearing impairments globally. Deaf persons have extremely little or no access to educational resources and other types of information. While visiting or traveling in public locations in the absence of a sign interpreter, members of the deaf community are typically in an uncomfortable situation. Public announcements made in public spaces are incomprehensible to deaf persons. Without the …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 3, 2026 Read article
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Real-Time YOLOv8l Contraband Detection in X- Ray Security Screening with Automated Identification of Weapons and Hazardous Objects for Threat Alerting
Abstract: A real-time contraband detection system based on YOLOv8l has been proposed for use in very high security installations, such as airports and public screening facilities. The contraband detection system has been trained with curated X-ray contraband datasets containing twelve different object types like firearms, knives, bullets, etc., with the datasets having been constructed to provide an equal number of examples for each object class to support robust detection. The methodology …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 3, 2026 Read article
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A Comprehensive Review of Durable State Persistence Techniques for Resilient API Calls in Kubernetes-Based Microservices
Abstract: Kubernetes lets teams scale microservices and replace pods almost without notice. The same design that makes clusters reliable creates an intractable problem for API calls that require multiple steps on multiple individual services. A pod can stop suddenly. Any progress retained only in the memory vanishes. The client is forced to start the whole thing over. Data that is left behind can end up inconsistent. Durable state persistence is a …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 2, 2026 Read article
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Student Skill Tracker: A Telemetry-Driven Programming Education Platform
Abstract: The rapid evolution of the software industry has significantly transformed the expectations placed on modern developers. In today’s competitive environment, employers increasingly value practical problem-solving ability, debugging proficiency, logical reasoning, and architectural thinking more than traditional academic grades alone. While academic performance still plays a role, it often fails to reflect how effectively a student can approach real- world programming challenges. Most current educational evaluation systems rely on exam scores …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 3, 2026 Read article
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Integration of AI and Blockchain: Benefits & Use Cases- A Review
Abstract: The fusion of blockchain technology and artificial intelligence (AI) is a groundbreaking innovation that has the potential to revolutionize numerous sectors. Blockchain being immutable in nature allows the data to be shared and stored securely and openly, while as AI can evaluate this data and provide insightful analysis. With the rapid development in the field of AI, we can analyze the developments done in the fields of healthcare, logistics, finance, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 3, 2026 Read article
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Emote_X: An AI-Driven Framework for Real-Time Twitter Sentiment Classification Using Machine Learning
Abstract: Social media has become one of the ways people share their thoughts, feelings and responses to what is happening in the world. Twitter, which is now called X is an example. It creates a constant flow of short messages. These messages contain clues about how people feel in areas like business, health care, politics, entertainment and when there is a disaster. Tweets are very messy. They have abbreviations, hashtags, emojis, …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 3, 2026 Read article
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Self-Supervised Learning for Early Disease Detection in Low-Label Medical Image Datasets
Abstract: Getting reliable labeled data for medical image analysis is genuinely difficult. Radiologists, pathologists, and other specialist clinicians are expensive, slow, and not universally available — particularly in low-resource clinical environments across developing nations. Unlike natural image benchmarks such as ImageNet, which provide millions of meticulously labeled training examples, most publicly accessible medical imaging repositories offer only a few hundred to a few thousand annotated scans. Supervised deep learning models trained …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 3, 2026 Read article
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Mirror-Symmetric NoC Topologies for 64-Core Arrays: Investigating Latency and Energy Trade-offs versus Mesh and Torus Interconnects for Block-Level Matrix Multiplication Workloads
Abstract: Modern chip multiprocessors increasingly rely on many-core arrays to accelerate dense linear algebra kernels such as block-level general matrix multiplication (GEMM), where inter-tile communication often rivals computation cost. Network-on-Chip (NoC) topology therefore strongly influences overall latency and energy efficiency. This work proposes a mirror-symmetric NoC topology for 64-core arrays, in which long-range bypass links are added about a central reflective axis to shorten paths between symmetric core partitions that frequently …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 2, 2026 · pp. 35–44 Read article
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A Study on Machine Learning and Cryptographic based Intrusion Detection System in Blockchain and Data Science Environment
Abstract: The recent speedy development of Internet of Things, vehicular networks and cloud computing has greatly boosted the need of effective and safe intrusion detection systems. The shortcomings of the traditional IDS-based approaches are centralized architecture, issue of scalability, and inability to analyze the encrypted and distributed data. To address these issues, the recent studies have paid attention to the incorporation of the latest technologies such as machine learning, deep learning, …
Published in International Journal of Wireless Network Security · Vol. 4, Issue 2, 2026 Read article
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Programming Languages for Robotics: A Comprehensive Review of Applications, Features, and System Integration
Abstract: The rapid advancement of industrial automation, artificial intelligence, and autonomous systems has increased the importance of effective programming approaches for modern robotic applications. Robot programming languages provide the computational foundation for controlling robotic motion, interacting with sensors and actuators, implementing autonomous operations, and developing simulation-based solutions. This paper presents a comparative review of major programming languages used in robotics, with particular emphasis on C/C++, Python, Java, C#/.NET, and MATLAB. The …
Published in Recent Trends in Programming languages · Vol. 13, Issue 2, 2026 · pp. 51–62 Read article
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NeuroSight: AI-Powered Vision Enhancement for the Visually Impaired
Abstract: Visual impairment has long been a significant challenge, affecting a person’s ability to move independently, understand their surroundings, and perform everyday activities safely. Although considerable progress has been made in the development of assistive technologies, many existing solutions still face practical limitations. These include inconsistent performance in real-world environments, high power consumption, dependence on external computing resources, and limited ability to adapt to dynamic and rapidly changing surroundings. To address …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 25–33 Read article
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IoT-Based Smart Medicine Box with AR Holographic Caregiver and Automatic Liquid Tonic and Pill Dispensing System
Abstract: Medication management is a major challenge for elderly individuals, chronic disease patients, and users who require multiple medicines at scheduled intervals. Missed doses, incorrect quantities, and improper medication handling can reduce treatment effectiveness and create health risks. This paper proposes an IoT-Based Smart Medicine Box with an AR Holographic Caregiver and Automatic Liquid Tonic & Pill Dispensing System to provide a reliable and intelligent medication management solution. The proposed system …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 19–24 Read article
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ESP32-Based Vehicle Security and Driver Safety System
Abstract: This paper presents an ESP32-based intelligent vehicle security and driver safety system designed to improve both automobile protection and road safety through advanced sensor integration and real-time monitoring. The proposed system combines biometric authentication, driver behavior analysis, obstacle detection, and emergency communication into a single compact platform. A fingerprint sensor (R307) is used to provide secure vehicle access, ensuring that only authorized users can start the vehicle. To enhance driver …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 9–18 Read article
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Artificial Intelligence and Machine Learning Approaches for Corrosion Prediction and Management of Steel Reinforcement in Concrete: A Systematic Review
Abstract: Load bearing concrete structures need steel reinforcement bar (rebar), which are prone to attack by the corrosive environment inside the concrete due to constant ingress of moisture, pollutant gases and anions (mainly Cl−, SO42−). In recent models for the potential life span, the causes of failure of concrete structures have been established principally due to the chloride (Cl−) ion, because of the ease in transportation of Cl− in concrete and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of AI-enabled workforce analytics as a strategic human resource management tool through a case study of Tata Steel. The research positions artificial intelligence not as a technical innovation, but as a people-analytics decision-support mechanism that assists HR leaders in identifying early indicators of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management practices. Rapid developments in computer vision (CV), machine learning (ML), deep learning (DL), natural language processing (NLP), and predictive analytics have increased the use of AI in a variety of rural industries. In agriculture, AI-driven technologies support precision farming, crop yield prediction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Intelligence in Education: Empowerment or Cognitive Dependency? A Critical Analysis
Abstract: Artificial Intelligence (AI) has become an important part of modern education, changing how students learn, practice, and complete academic tasks. AI-based tools such as intelligent tutoring systems and generative models improve personalization, speed, and accessibility of learning. However, growing concerns suggest that excessive dependence on AI may reduce deep cognitive engagement and critical thinking. This paper critically examines whether AI acts as a tool for academic empowerment or leads to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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RoseRAG-Based Clinical Decision Support System for Precision Medication Safety
Abstract: Medication-related errors remain a major challenge in healthcare, contributing to adverse drug events, increased hospitalization rates, and substantial healthcare costs. Conventional Clinical Decision Support Systems (CDSS) primarily rely on rule-based mechanisms for identifying drug-related problems (DRPs), including drug–drug interactions, contraindications, dosing errors, therapeutic duplication, and medication omissions. Although effective in structured environments, these systems frequently generate excessive context-insensitive alerts, leading to alert fatigue and reduced clinical acceptance. Recent developments in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article