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1633 articles for “system identification”
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Emerging Digital Trends in Virology Software: Optimizing Viral Discovery, Surveillance,and Patient Management.
Abstract: Virology and antiviral therapeutics are being reshaped by rapid advances in computational tools, automation platforms, and virus-focused digital health applications. Software systems now span the entire virology value chain, from in silico viral target identification and antigen design, to AI-supported clinical trial management for vaccines and antivirals, to post-marketing pharmacovigilance and patient-facing mobile tools. This review examines current and emerging software trends relevant to virus studies, emphasizing applications in viral …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 29–38 Read article
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Image-Based Quantitative Mapping of Structure Property Relationships in Polymer Composite Materials
Abstract: The performance of polymer composite materials is intrinsically governed by their microstructural architecture, which is shaped by manufacturing conditions and constituent interactions. Despite extensive experimental characterization efforts, establishing transparent and quantitative structure–property relationships from microstructural images remains a challenge. In this study, an explainable image-driven framework is developed to systematically correlate microstructural features with composite property indicators. Microstructure images are processed to identify voids, fibers, and filler phases, from which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 188–196 Read article
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Internet of Things based Car Parking System using ESP- 32 and Blynk
Abstract: The security of the vehicles at the populated places has always been an area of concern. At many crowded places where a number of vehicles enter and exit every day, the security has to be taken into account so that chaos is reduced by using an efficient model. This paper shows the implementation of an Internet of Things based car parking system which consists of electronic components such as infrared …
Published in Current Trends in Signal Processing · Vol. 12, Issue 1, 2022 · pp. 21–28 Read article
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The 14 Principles Guru Gobind Singh Cultivated to Societal Stability
Abstract: 1024x768 Normal 0 false false false EN-US X-NONE X-NONE India has been a land with riches encompassing from value systems with unparalled family integrations, nursed by able mentoring from Saints and hermits who ventured their holistic philosophies towards attempts for thorough societal improvements. The Quality of various Mentors/ Gurus, and the system nurtured by them, has at-times been superlative. It is believed that the emergence of most of these souls …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 1, Issue 2, 2011 Read article
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Statistical Modeling: New Trends and Applications
Abstract: Statistical modeling plays a crucial role in various fields, aiding in decision-making, prediction, and inference. This article presents a comprehensive review of recent literature to identify and discuss the emerging trends in statisticaL modeling. The methodology involved a systematic search of relevant databases using specific keywords and selection criteria. The review highlights the limitations of traditional statistical modeling techniques and emphasizes the need for advancements in the field. The findings …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 1, 2023 · pp. 39–43 Read article
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Wound Healing Potential of Medicinal Plants: A Review
Abstract: Wound healing is an integrated cellular and biochemical process of restoring normal structure functions of damaged tissue. Healing is a natural phenomenon by which body itself overcome the damaged to the tissue, but the rate of healing is very slow and chance of microbial infection is high. Improvement in healing process can be accomplished either by shortening the time required for healing or to minimize the undesired consequences. India has …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 4, Issue 2, 2017 · pp. 17–40 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Healthcare Management with QR Code Using Blockchain
Abstract: The existing healthcare management system is heavily reliant on paper-based records and centralized databases. This makes it difficult to securely share patient data between healthcare providers, resulting in delays in treatment and potential errors in diagnosis. Furthermore, the current system is prone to cyber-attacks and data breaches, putting patient privacy at risk. The lack of transparency also leads to distrust between patients and healthcare providers. A quick response (QR) code …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 36–42 Read article
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Smart Water Management System for Precision Irrigation
Abstract: Water scarcity and inefficient irrigation practices remain critical challenges in modern agriculture, necessitating the adoption of intelligent and sustainable solutions. This review paper explores the concept and development of Smart Water Management Systems for Precision Irrigation, which integrate advanced technologies such as the Internet of Things (IoT), wireless sensor networks, artificial intelligence, and data analytics to optimize water usage. The study examines various system architectures, including sensor-based soil moisture monitoring, …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Nanotechnology in IoT Security
Abstract: IoT is principally a enormous collection of physical devices associated together via sensors and software which Trancereceives data via the internet. The incorporation of nanotechnology in cybersecurity, like certain other technological innovations, has the potential to destabilise the entire system. IoT technology is continuing to change the way we live. Nanotechnology will pave the way for the Internet of Nano Things (IoNT), and device espousal will skyrocket. Nanotechnology, in smart …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 12, Issue 3, 2022 · pp. 12–17 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Recent Update on Advanced Drug Delivery System
Abstract: Over the past decade, there has been a growing interest in the use of artificial intelligence (AI) technology for analysing and interpreting biological or genetic data, accelerating drug discovery, and identifying selective small-molecule modulators or rare molecules in addition to predicting their behaviour. The use of artificial neural networks (ANNs) for the rapid analysis of massive amounts of data, the development of novel hypotheses and treatment plans, the prediction of …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 22–30 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Virtual Reality as a Tool for Children with Autism Spectrum Disorder: A Systematic Literature Review
Abstract: Children with autism spectrum disorder tend to lose focus quickly. The possibility of displaying changeable, three-dimensional environments in virtual reality can increase the user's concentration time due to the stimuli used. Using virtual reality, an individual assistant can be provided for the daily care and encouragement of learning for children with autism spectrum disorders. To investigate the feasibility of a virtual assistant and the acceptability of virtual reality among autistic …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 62–69 Read article
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Role of Artificial Intelligence in Transforming Personalized Learning in Education
Abstract: Artificial Intelligence (AI) is revolutionizing personalized education by tailoring learning experiences to meet each student's unique needs. Through advanced algorithms, AI can adapt educational content to align with individual learning speeds, preferences, and styles. Technologies such as adaptive learning systems, smart tutoring tools, and AI-powered assessments offer instant feedback and assist teachers in quickly identifying areas where students may be struggling. Additionally, predictive analytics help anticipate student outcomes, enabling early …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
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Facial Recognition System Utilizing Real-time Deep Learning Techniques
Abstract: This research introduces an openly accessible deep learning-based framework designed for facial recognition. The system encompasses five key stages: face segmentation, detection of facial features, face alignment, embedding, and classification. Deep learning methods are employed for the extraction of fiducial points and embedding within the system. For the classification task, a Support Vector Machine (SVM) is utilized due to its efficiency in both training and inference phases. Notably, the system …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 14–20 Read article
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Skilled Manpower in Health System for Door Step Delivery of Preventive Health Services: A Field Experience-Based Analysis for Gaps, and Available Skill Courses/Solutions In India
Abstract: There is identified shortage of skilled certified trained health workers for door step delivery of health care specifically for care of chronic ailments requiring long term care and sustainable solutions. This review for gaps and solutions is outcome of field work done by the Author’s team. Skilled manpower is required to achieve Universal Health Coverage (UHC) and achieve Millennium Development Goals. However challenges and opportunities are not discussed to fill …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 2, 2026 · pp. 1–8 Read article
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Securing Toll Booth Data Using Blockchain
Abstract: Presently, blockchain has come up to be one of the most famous and assuring technologies in the smart transportation system. Smart vehicles communicate with each other through internet. Data sharing is important as it encourages more collaboration among the involved participants. So, in order to do secure data sharing in vehicular networks, we require a decentralized mechanism which is scalable and secured. Previously, the collection of road toll was done …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 2, 2022 · pp. 28–35 Read article
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AI-Enabled Recycling of Thermoplastic Polymer Waste in Hospitals: A Circular Economy Pathway Toward Green Hospital Certification
Abstract: This review research explores the latest role of AI in improving thermoplastic waste management for hospitals in terms of segregation accuracy, operational efficiency, and circular economy outcomes. Seventy-five relevant studies were analysed, and it was reported that AI-based systems, especially CNNs, YOLO models, and sensor-fusion approaches, achieved high accuracy in the identification and sorting of medical plastics, often above 90%. Early evidence also reveals improvements in the reduction of contaminants, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 170–182 Read article