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655 articles for “Prevention System”
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E-Commerce and AI: Product Recommendation and Pricing
Abstract: E-commerce has evolved from a simple online storefront to a complex ecosystem driven by data and demanding personalized experiences. In this highly competitive environment, businesses are continuously looking for new ways to entice and keep customers. Artificial intelligence is growing as an effective instrument, offering a multitude of applications that are transforming the e-commerce industry. This study will look at the important areas wherein AI is having a substantial impact, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 37–45 Read article
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Nutritional Influence on Gut Health and Immune Function: An Integrative Perspective
Abstract: The study of nutrition, gut health, and immune function is fast changing and has major implications for disease prevention and management. A varied microbiome in the gut regulates immune responses. A balanced diet with fiber, polyphenols, and important nutrients maintains a healthy gut flora, which regulates immune function and inflammation. Dysbiosis, an imbalance in the gut microbiota, is connected to autoimmune, allergic, and inflammatory bowel illnesses. New research reveals that …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 30–44 Read article
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RFID-Enabled Smart Shelves and Cart System
Abstract: With the fast-paced development of Radio Frequency Identification (RFID) technology, the retail sector is seeing a revolutionary change to improve stock management, cut operational costs, and improve consumer satisfaction. The comparative advantages of RFID-smart shelves and carts over conventional stock management practices, such as barcode scanning and manual stock management, are investigated in this work. Compared to the other methods, in terms of accuracy, efficiency, cost-effectiveness, and scalability, RFID smart …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 31–37 Read article
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Blockchain for Transparent and Secure Electronic Voting
Abstract: A secure and transparent electronic voting system leveraging blockchain technology addresses the critical need for trustworthy and efficient electoral processes. By integrating blockchain, the system ensures that each voter can only cast their vote once, and the integrity of the vote is maintained without interference. Blockchain’s decentralized and tamper-resistant nature safeguards the voting records, preventing any fraudulent activities or unauthorized alterations. Each vote is treated as a transaction in the …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 23–28 Read article
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Redefining Herd Health: No-Antibiotic Strategies for Revolutionizing Sustainable Dairy Development
Abstract: This study investigates the potential of no-antibiotic strategies to transform herd health management andpromote sustainable dairy development. Rising concerns over antimicrobial resistance (AMR) and the environmental consequences of antibiotic use have intensified the demand for alternative, sustainable disease management approaches. No-antibiotic strategies emphasize preventive health measures, biosecurity, and holistic practices, including optimized nutrition, vaccination, and natural antimicrobial alternatives. The study evaluates diverse management interventions, such as precision livestock farming, genetic …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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A Review of Machine and Deep Learning Techniques for Cyber Security
Abstract: Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
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Unlocking the Healing Powers of Aṣl Khāliṣ (Honey): Exploring Its Functional and Therapeutic Potential
Abstract: Aṣl Khāliṣ (honey) as a natural product has grabbed the attention of researchers as a reciprocal and indispensable remedy. Honey has been used to heal both internal and external ailments for much longer than medicine has existed. Unani scholars have mentioned its action in classical literature as a nutritional agent, as well as a natural food supplement with therapeutic antibacterial, anti-inflammatory, cleansing, deobstruent, lithotryptic, and wound-healing properties. According to contemporary …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 3, 2025 · pp. 17–23 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article
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AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Novel Corona Virus (COVID-19): Management Through Ayurveda, Yoga and Naturopathy, Unani, Siddha and Homoeopathy
Abstract: COVID-19 pandemic has become a global health crisis. Mild infection has high recovery rate, while severe cases can be fatal. There is no specific medication or vaccine and treatment is based on supportive care only. At this critical period of limited therapeutic options, Ayurveda, Yoga & Naturopathy, Unani, Siddha and Homeopathy can play a significant role in the management of COVID-19 infection. The present paper briefs on the epidemiology, the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 9, Issue 3, 2020 · pp. 26–35 Read article
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A Review of XML Technologies for Enhancing Security in Advanced Database Management Systems
Abstract: The integration of extensible markup language (XML) technologies into advanced database management systems (DBMS) has revolutionized data storage, retrieval, and security paradigms. This comprehensive review examines the critical role of XML-based security mechanisms in protecting sensitive data in contemporary database environments. This study explores various XML security technologies, including XML encryption, XML digital signatures, XML access control models, and XML firewalls, and analyzes their implementation strategies and effectiveness in mitigating …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 · pp. 29–38 Read article
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Enhancing Construction Safety Performance Through Artificial Intelligence: A Systematic Review
Abstract: The construction industry is still one of the most dangerous sectors globally because of its dynamic working environment, the employment of heavy machinery, and the complexity of operational processes. Traditional safety management methods are largely dependent on manual monitoring and reactive measures, which are not always effective for accident prevention. In recent years, Artificial Intelligence (AI) has been recognized as a revolutionary technology in construction safety, with capabilities such as …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 13–30 Read article
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Inhibition of Quorum Sensing to Mitigate the Risks of Membrane Biofouling in Biological Wastewater Treatment
Abstract: Membrane-based systems play a pivotal role in various applications, providing efficient separation, purification, and filtration processes across diverse industries such as water purification and desalination. However, this system faces major challenge of membrane biofouling impacting the efficiency and sustainability of such systems. Biofouling occurs when various microorganisms like bacteria, fungi, etc. adheres to the surface of membrane and form biofilm which results in reducing membrane permeability and increasing its operational …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 18–26 Read article
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Smart Iron Box with Automatic Cloth Detection and Heat Adjustment
Abstract: Ironing continues to be a lengthy and sometimes monotonous activity in domestic chores; especially among those with busy schedules who need to ensure efficiency and minimize risks of harming delicate fabrics. This document discusses the design and development of an intelligent ironing machine that performs ironing tasks using embedded computing and multi-sensor fabric identification. Unlike traditional irons that depend entirely on the manually chosen temperatures and user discretion, the developed …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Cardiovascular Modeling with Computational and Mathematical Methods
Abstract: The cardiovascular system, a complex network responsible for delivering life-sustaining oxygen and nutrients throughout the body, is a prime target for advanced understanding and improved therapies. Due to the inherent difficulties in directly observing internal physiological processes and the complexities of interactions within the system, computational and mathematical modeling have emerged as powerful tools in cardiovascular research. This article explores the significance of these methods in unveiling the heart's secrets …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
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Face Mask Detection Alert System
Abstract: The COVID-19 coronavirus epidemic is widely spreading around the world, which is why wearing face masks in public is becoming more popular. Since the WHO has made wearing masks mandatory to prevent this deadly virus, wearing face masks regularly is an essential measure until the virus is completely eradicated. Several preventive measures are being considered to decrease the spread of disease and one of them is wearing masks in crowded …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 2, 2022 · pp. 25–31 Read article
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Experimental investigation on non-linearity in understanding large scale fires
Abstract: Fire doesn't spread in a uniform manner it has an unpredictable nature. The pervasive uncertainty associated with large-scale fires has resulted in the irreparable loss of invaluable human lives, natural resources, critical infrastructure, and systems. To combat this significant issue, substantial financial investments are made annually in research endeavours aimed at preventing and mitigating such devastating incidents. These dedicated research efforts strive to develop innovative strategies, cutting-edge technologies, and robust …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 1, 2023 · pp. 27–40 Read article
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Diabetes Risk & Al Nutrition Assistant
Abstract: The rising prevalence of diabetes mellitus has emerged as a major global health challenge. Early identification of individuals at risk, combined with personalized lifestyle-based interventions, can significantly reduce future complications. This study presents an AI-driven Nutrition Assistant integrated with a Diabetes Risk Prediction model. The system uses a machine learning classification approach to estimate the likelihood of diabetes based on clinical and nutritional factors, including body mass index, glucose levels, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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IoT-Enhanced Integrated LPG Level and Leakage Detection System
Abstract: Increased statistics of fire outbreak occurrences and gas leakage incidents in both industrial and domestic applications has called for better safety measures in Liquefied Petroleum Gas (LPG) management. Research efforts are therefore geared towards developing solutions which could greatly curb the menace of fire outbreaks and leakages of highly flammable gases. The presented work focuses on the design and fabrication of an IoT-enhanced system dedicated to the monitoring and detection …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 9–16 Read article
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General Public Opinion and Thinking about Physical Therapy Treatment Strategy: Observational Study
Abstract: Abstract+Background: Physiotherapy means systematic method of assisting cardio-respiratory musculoskeletal-neurological including pain and psychosomatic disease to prevent illness by the way of manual therapy and physical ability. The investigator has found that public frequently confuses the functions of physiotherapists with those of other health professionals. The knowledge regarding physical therapy appears to be inclusive in our country due to lack of evidence based publications. Objectives: To find out the knowledge of …
Published in Research and Reviews: A Journal of Health Professions · Vol. 7, Issue 3, 2017 · pp. 1–8 Read article