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490 articles for “Detection Challenges”
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AI-Driven Exam Grading, Percentile Calculation, and Plagiarism Detection System for Educational Integrity
Abstract: The influence of artificial intelligence (AI) on academic evaluation has become increasingly significant, particularly in areas such as automated grading, large-scale content analysis, and plagiarism detection. These technologies provide educators with rapid processing, consistent scoring, and timely feedback that can support both teaching and learning. However, alongside these advantages, serious concerns have emerged regarding the reliability and fairness of AI-driven assessments. The growing presence of AI-generated content has further complicated …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 07–12 Read article
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IoT-based Marine Life Tracking and Pollution Monitoring System
Abstract: In the contemporary world, marine pollution stands as a significant challenge that has adversely affected oceans over the decades. This issue has been exacerbated by human activities, including the improper disposal of sludge, oil spills, and agricultural runoff entering marine environments without adequate regulatory oversight. The repercussions of ocean pollution are detrimental, impacting marine ecosystems, the environment, and ultimately human health. The Internet of Things (IoT) has emerged as a …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 11–20 Read article
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DoS Attacks and Detection Schemes in Wireless Mesh Networks
Abstract: The attacks of DoS are a group of collaborative attacks made by attackers to threat internet security. A compromised system was used by the attacker has been used prohibit the user to access the resources. The attacker uses compromised systems to prevent users from having access to the server resources. In this survey, we will find defense mechanisms against DoS attacks that may have importance through the internet. The appliances …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 11–19 Read article
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Railway Track Safety System
Abstract: Railway Track Safety System (RTSS) is a comprehensive monitoring system specifically designed for the Indian railways. It consists of three subsystems that target specific challenges faced by the railways. Our main focus is on addressing four key problems. The first two issues involve cracks in the rails and foreign objects on the tracks. Cracks can occur naturally or be intentionally created to derail trains. Objects like stones can accidentally roll …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 1, 2024 · pp. 29–33 Read article
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Mobility Assistant for Disabled Person
Abstract: A development of an assistance system on a wheelchair for the physically challenged and handicapped people to compensate their needs of manoeuvrability. This Mobility Assistant accepts the input from the user and accordingly sends command to the wheelchair to traverse around the surrounding. The proposed system will sense the body movement of a person sitting on a wheelchair and then shifts the wheelchair suitably so that it moves towards the …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 21–25 Read article
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Advancement and Limitations of Raman Spectroscopy: A Review
Abstract: The present review provided an overview of advances and limitations in Raman spectroscopy— a powerful analytical tool widely used across scientific disciplines. Instrumental advances, including the development of lasers, detectors, and optics, have increased the scope of Raman spectroscopy. These advances have expanded its applications in fields such as information science and biology. The integration of Raman spectroscopy with additional technologies such as microscopy and artificial intelligence further expands analytical …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 85–97 Read article
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Cloud-based Application Development and Optimization
Abstract: As cloud computing powers today’s applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Autonomous Scripting: The Future of AI-Enhanced Shell Programming for DevOps and Security
Abstract: The evolution of operating systems has seen a paradigm shift with the integration of artificial intelligence, quantum computing, and edge computing technologies. Autonomous scripting, driven by AI, is transforming DevOps workflows and security paradigms, enabling self-healing systems, predictive automation, and intelligent threat detection. This study explores the role of AI-enhanced shell programming in the automation landscape, discussing its implications for next-generation operating systems. It further delves into the integration of …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 28–39 Read article
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Polymer Chemistry of Ion-Selective Membranes and Hydrogels for Clinical Sodium Sensing: Advances and Perspectives
Abstract: Accurate and timely monitoring of serum sodium levels is critical in diagnosing and managing hyponatremia, a common and potentially life-threatening electrolyte disorder. Recent advances in polymer chemistry have driven the development of ion-selective membranes and hydrogels tailored for clinical sodium sensing, bridging the gap between material science and biomedical diagnostics. This review critically examines the design and synthesis of polymeric materials—focusing on block copolymers, conductive polymers, and stimuli-responsive hydrogels—used to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 895–901 Read article
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Artificial intelligence’s role in mental health: Innovations, Challenges, and future prospects
Abstract: Among the many ways in which mental health services are gaining from the integration of artificial intelligence (AI) are improvements in diagnosis, tailored treatment programs, and round the- clock patient help. Two AI-driven solutions are virtual therapists and prediction algorithms, which could increase access to mental health therapy and enable early intervention. However, the application of artificial intelligence in this field raises ethical concerns about privacy, discrimination, and the potential …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Improve Power Quality in Photovoltaic and Wind Energy Systems Through the Utilization of DSTATCOM
Abstract: This paper explores the power quality challenges faced by distributed generation systems that are powered by renewable energy sources, e.g., wind and solar. It provides an in-depth examination of these power quality issues, starting with an overview and examination of basic standards. The research also explores power quality in power systems, specifically those connected to the electrical grid and renewable energy sources. It gives a comprehensive discussion of power quality …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 33–44 Read article
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Advanced Security Mechanisms for AIDL Communication in High-Risk Environments
Abstract: Android Interface Definition Language (AIDL) serves as a critical component for inter-process communication (IPC) in Android systems, facilitating seamless interaction between different application components. However, in high-risk environments, such as military, healthcare, and financial systems, AIDL communication faces significant security challenges, including unauthorized access, data tampering, and privilege escalation. This paper presents a detailed review of the advanced security mechanisms designed to safeguard AIDL communication in such environments. We propose …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Security Challenges and Solutions in Wireless Sensor Networks: a Case study of Afghanistan
Abstract: Due to their capability to collect and relay data from locations without supervision, Wireless Sensor Networks (WSNs) have become essential for numerous contemporary applications (such as environmental monitoring, smart cities, and healthcare). However, the open and resource-constrained nature of WSNs makes them particularly vulnerable to security threats. This paper reviews the key security Issue faced by WSNs and the solutions proposed in recent literature. We examine the unique constraints of …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 · pp. 27–35 Read article
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Balloon Deployment Strategies for Projectile Deterrence
Abstract: This paper presents a defense strategy inspired by historical precedents, aimed at neutralizing subsonic projectiles using a swarm of balloons filled with explosive and buoyant gases, such as hydrogen. The balloons are arranged in a swarm to effectively intercept multiple incoming projectiles. Numerous military and security uses are possible for them. Operating costs for lighter-than-air aircraft are lower than those of traditional fixed-wing aircraft. Lighter-than-air vehicles can be made less …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 25–29 Read article
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Face Recognition Attendance System Using Local Binary Pattern Histogram Algorithm
Abstract: Maintaining accurate and tamper-proof attendance records in educational and corporate environments has long been a challenge due to the limitations of manual and biometric systems. This study introduces the development and deployment of a contactless, automated attendance system that utilizes facial recognition through the local binary pattern histogram (LBPH) algorithm. The primary goal is to offer a secure and efficient substitute for conventional attendance methods by harnessing the power of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 29–34 Read article
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A Descriptive Study on Cervical Cancer Screening Methods
Abstract: Cervical cancer continues to pose a major public health challenge, particularly in low- and middle-income countries where access to preventive services is often limited. This review presents an overview of the disease, covering its global burden, underlying causes, available screening approaches, treatment options, and preventive measures. Persistent infection with high-risk types of human papillomavirus (HPV) is widely recognized as the main cause of cervical cancer, with certain strains contributing more …
Published in International Journal of Oncological Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 37–42 Read article
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A Systematic Literature Review on Security Challenges in Cloud–Edge Hybrid Systems
Abstract: Cloud–edge hybrid systems have become a key framework in today’s distributed computing landscape, combining fast, near-source data processing at the edge with the flexible scalability and resource richness of centralized cloud infrastructures. However, this in- tegration introduces a complex security landscape where tradi- tional perimeter- based cloud security measures are insufficient for resource- constrained and physically exposed edge nodes. This literature review synthesizes findings from established research publications (2020–2025), focusing …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 Read article
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Harnessing AI in the library of IITs: A Journey Towards Automation to Intelligence
Abstract: This study carries out an in-depth analysis of the impact and execution of Artificial Intelligence (AI) technologies in one of the noteworthy libraries in the twenty-three (23) Indian Institutes of Technology (IITs). It would be pertinent to mention that there is hardly any doubt that one of the most radiating technologies in the field of computing technologies is Artificial Intelligence which in turn is rendering a profound impact on the …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 95–105 Read article
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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Detection of Phishing Website Using URL
Abstract: Phishing attacks are one of the greatest threats to online security, where fraud websites deceive users into giving out sensitive information. Traditional methods of detection, such as blacklists and heuristic-based systems, often fail in identifying newly created or sophisticated phishing websites. This study proposes an intelligent phishing website detection system using Convolutional Neural Networks (CNNs) in analyzing URLs and associated features. Using labeled URLs, the system employs such attributes such …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 10–15 Read article