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1242 articles for “Data integrity”
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Spintronic Logic Circuits for Ultrafast Processing
Abstract: Spintronic logic has emerged as one of the most promising post-CMOS paradigms capable of addressing the speed, density, and energy challenges of deeply scaled silicon technologies. By relying on the intrinsic properties of electron spin and magnetization dynamics, spintronic devices—particularly Magnetic Tunnel Junctions (MTJs), Spin-Transfer Torque (STT), and Spin–Orbit Torque (SOT) structures—enable ultrafast, non-volatile data processing with significantly reduced energy consumption. Despite remarkable device-level advancements, circuit- level realization of high-speed, …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 35–43 Read article
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ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
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Variations of Macroplastics in Water and Sediments at Bundu Waterfront, Upper Bonny Estuary, Rivers State, Nigeria
Abstract: Macroplastic pollution has become an increasingly severe environmental challenge, particularly in urban waterfronts where waste management is inadequate. Bundu Waterfront of the Upper Bonny Estuary in Port Harcourt, Rivers State is a sink for macroplatics from careless disposal of solid wastes and inadequate management thus affecting the biological integrity and aquatic life of this estuary. The resultant impact of the macroplastics on abiotic factors through the evaluation of different floating …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 12–22 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Exploring the Role of Ginkgo biloba in Investigating 7L1X in Triple-Negative Breast Cancer Through Integrative Bioinformatics
Abstract: Objectives: Triple-negative breast cancer is a very dangerous form of cancer that affects mostly Hispanic and African American women above the age of 40. It represents approximately 15–20% of the global cancer incidence. This experiment aims to investigate the use of Gingko biloba in the treatment of the disease triple-negative breast cancer. Methods: We use a variety of online tools, and websites, including the Indian Medicinal Plants, Phytochemistry, and Therapeutics …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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An Integrated Satellite and Underwater IoT Framework for Real-Time Oceanic Disaster Monitoring and Resilient Communication
Abstract: Ocean-based environmental disasters such as tsunamis and underwater earthquakes pose significant risks to human life, coastal infrastructure, and regional stability. However, traditional communication networks often collapse during such events, leading to delayed alerts and uncoordinated response efforts. This study presents an integrated framework that combines underwater Internet of Things (IoT) systems with satellite communication technologies to enable real-time oceanic disaster monitoring and reliable emergency communication. The system connects underwater sensor …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
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Emerging Therapies in Respiratory Tract Infections: Current Advances and Future Perspectives
Abstract: The impact of respiratory tract infections (RTI) as a global public health problem continues to be high morbidity and mortality rates. The development of novel therapeutic approaches stemmed from the fact that conventional treatment strategies, antibiotics, antivirals, antifungals etc. have become increasingly ineffective because of rise of antimicrobial resistance (AMR). Next generation therapies, such as novel antimicrobial agents, host directed therapies and novel drug delivery systems have come on the …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 17–25 Read article
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Statistical Modeling for Weld Quality Assessment using AI SAW Welding of Mild Steel
Abstract: The main issue to the industries that apply Submerged Arc Welding (SAW) is quality assurance since the structural integrity dictates safety and the performance of the industry. The existing system of checking manuals is not only time consuming but also has human errors that make it mandatory to deploy automated intelligent systems. This study carries out an extensive comparison of the leading approaches based on the use of Artificial Intelligence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 892–907 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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Quantifying Damage Evolution in Fiber-reinforced Composites Using Fracture Mechanics
Abstract: By evaluating the evolution of damage, such as cracks or delamination, within the material over time or under various loading situations, damage evolution in fiber-reinforced composites can be characterized using fracture mechanics. Fracture mechanics offers a framework for understanding and projecting the behavior of materials that already have damage or flaws. Since they have a high strength-to-weight ratio and unique mechanical qualities, fiber-reinforced composites are essential in many branches of …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 26–32 Read article
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An Investigative Study of Quantum-safe Secure Multi-party Computation
Abstract: This article represents the comprehensive investigation in the emerging field of quantum-safe secure multi-party computation (QSSMPC) and presents novel perspectives to address the impending threat posed by quantum computers to classical cryptographic systems. As the era of quantum computing approaches, traditional encryption methods become vulnerable to quantum algorithms, necessitating the development of quantum-resistant cryptographic protocols. In this context, the paper introduces innovative approaches to secure multi-party computation in a quantum-safe …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 39–44 Read article
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Advancements in Satellite Networking Applications Through Delay-tolerant Networking (DTN)
Abstract: The burgeoning demand for global connectivity and communication has intensified the exploration of novel networking paradigms, especially in remote or challenging environments where traditional methods fall short. One such innovative approach is delay-tolerant networking (DTN), a technology specifically engineered to work in scenarios where standard networking is unreliable, frequently disrupted, or suffers from considerable delays. This study focuses on the application of DTN in satellite networking, a domain characterized by …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 24–28 Read article
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Real Time Automobile - Caused Air Pollution Monitoring System
Abstract: The system proposed in this paper aims to be a novel approach for real-time detection and quantification of vehicular emissions, integrated into smart city infrastructures. The structured workflow enhances accuracy and efficiency. The license plate is captured by OCR, while the ground clearance is simultaneously measured, allowing the thermal camera to dynamically adjust its position to align with the tailpipe level. The emission data is collected and transmitted to a …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 49–55 Read article
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Identification and Analysis of Prevention Mechanism to Control Crimes Against Women and Children
Abstract: The see the rise of crimes against women and children a social issue which has significant impacts on individuals and community as a whole. This research examines current methods of prevention and outlines other possible methods to lessen this kind of crime. This study performs an in-depth analysis of the existing legal policies, community programs, and technology-based approaches to identify, strengths and weaknesses. Surveys and interviews were conducted with law …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 1–18 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Cybersecurity Early Detection Algorithms for Threats
Abstract: Cybersecurity plays a vital role in protecting digital systems, networks, and data from unauthorized access, misuse, and cyberattacks in an increasingly interconnected world. As reliance on internet-based technologies continues to grow, the frequency and sophistication of cyber threats have also increased, making effective cybersecurity strategies essential. Cybersecurity encompasses a comprehensive framework that integrates technological solutions, organizational processes, and human awareness to ensure the confidentiality, integrity, and availability of information. Key …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 31–37 Read article
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Pain Management Through Ayurvedic Tablets and Capsules
Abstract: Triphala Guggulu is a classical formulation widely used in Ayurveda for the management of metabolic and inflammatory disorders. It represents a synergistic combination of Triphala – composed of Emblica officinalis, Terminalia bellirica, and Terminalia chebula – along with the oleo-gum resin of Commiphora mukul. In traditional Ayurvedic practice, this formulation has been prescribed for conditions, such as arthritis, obesity, hyperlipidemia, and chronic constipation, primarily due to its reputed ability to …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 1, 2026 · pp. 23–28 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Open Source Software Empowering Artificial Intelligence, Machine Learning, and Cyber Security: A Comprehensive Research Study
Abstract: Open Source Software (OSS) has become a foundational pillar for rapid innovation across Artificial Intelligence (AI), Machine Learning (ML), and Cybersecurity. This paper delivers a comprehensive, journal-length analysis of OSS-driven ecosystems, emphasizing collaborative development, transparency, and accelerated deployment. By providing freely available libraries, tools, and frameworks, OSS makes it easier for developers and researchers to experiment, build models, and deploy solutions quickly. This study examines how OSS can be combined …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 Read article