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1266 articles for “system identification”
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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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Adoption Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints and the Way Forward
Abstract: The adoption of advanced reproductive technologies (ARTs) in subsistence dairy farming remains limited despite their potential to enhance genetic improvement, fertility rates, and overall productivity. This study explores the key constraints hindering the integration of ARTs, including artificial insemination, embryo transfer, and ovulation synchronization, within small-scale dairy production systems. Financial constraints, lack of awareness, inadequate veterinary support, and socio-cultural resistance are identified as primary barriers. Limited access to affordable credit, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 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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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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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
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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Implementation and Impact of Lean Manufacturing: A Critical Review and Framework for Adoption
Abstract: Lean manufacturing has become a vital approach for organizations seeking to enhance efficiency, reduce waste, and strengthen competitiveness in dynamic industrial environments. Although lean principles are well established, industries continue to experience inconsistencies in implementation outcomes due to differences in organizational readiness, employee involvement, and managerial commitment. This study critically reviews existing research on lean manufacturing to examine its practical impact, the factors influencing its success, and the challenges that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Diet-Gene Interactions in Farm Animals: Molecular Dynamics, Gene Expressions, Signalling Pathways and Precision Nutrition for Sustainable Productivity
Abstract: Diet-gene interactions represent a central mechanism through which nutrition influences growth, health, and productivity in farm animals. Recent advances in molecular biology and genetics have revealed that nutrients act not only as metabolic substrates but also as signalling molecules capable of modulating gene expression, cellular pathways, and epigenetic regulation. This review synthesizes current knowledge on the molecular dynamics of nutrient utilization in farm animals, with emphasis on nutrigenomic responses, nutrient …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
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AI-Driven Prediction of Square-Hole Laser Trepanning Performance in AA7075/15%SiC/15% Glass Fiber Hybrid Composites Using Taguchi–ANOVA and Deep Neural Networks
Abstract: Hybrid AA7075 composites reinforced with 15% silicon carbide (SiC) and 15% glass fiber were fabricated via the stir casting technique to improve machining and structural performance. The addition of dual reinforcements into the aluminum matrix was aimed at enhancing hardness, thermal stability, and surface quality during non-traditional drilling operations. Square-hole drilling was performed using a laser trepanning process, and the key responses—hole size accuracy, surface roughness, and taper angle—were systematically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1932–1943 Read article
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GHS Label Detection Using Color Segmentation
Abstract: AbstractThis research presented the Globally Harmonized System (GHS) label detection by color segmentation approach. The researcher adapts this approach for identify boundary of each color pixels in Different environment image set. Experimental result shown the detection model have high accuracy. However, the mainly cause of error processing is asymmetrical GHS label in sample image that.Keywords: Color Segmentation, Image Processing, GHS Label Detection, Computer VisionCite this ArticleSansanee Hiranchan. GHS Label Detection …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 26–32 Read article
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A Latest Approach for Crime Rate Prediction and Analysis by Using the Clustering and Machine Learning Algorithm
Abstract: In our daily life, the collection and analysis of crime-related data is uncertain from a security perspective. Crime rate forecasting and analysis is a way of identifying and analyzing crime patterns in crime data contained in a crime database. Our system predicts what criminal activity occurs in everyday life in various parts of the world. Through the utilization of machine learning and data mining algorithms, it is possible to forecast …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 32–42 Read article
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Nutritional Habits of the Student Nurses of a Tertiary Care Institute of North India
Abstract: Student nurses are the future role models for health promoting behaviors. One of the most important of such behaviors is healthy eating habits. This study was carried out to assess the nutritional habits of nursing students. A descriptive study was conducted on 199 nursing students of National Institute of Nursing Education (NINE) in a tertiary care institute of north India. Systematic random sampling was adopted. Subjects were interviewed based on …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 3, 2020 · pp. 44–50 Read article
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Women’s Satisfaction with Care Providers Interaction and Associated Factors among Pregnant Women Attending Antenatal Clinic in Tiyo District, Arsi Zone, Ethiopia, 2016: Institutional Based Cross-Sectional Study
Abstract: Background: Health care provider-client interaction during antenatal care is an effective strategy to improve maternal health care seeking behavior. When clients are informed and involved in decision making, they are more adherent to medical recommendation and carry out more health related behavioral changes. However, the unsatisfactory interaction between health care providers and women pose a significant challenge in the health care service utilization.Objective: This study is aimed to assess women’s …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 1, 2017 · pp. 30–38 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Analyze the Value Stream Mapping for Lead Time Reduction by Lean: A Review
Abstract: Toyota started practicing TPS (Toyota Production System) since 1950, successfully. Due to success of TPS, many companies across the world started using the same. Later in 1990s, Womak and Jones gave the name it as a lean manufacturing. Lean manufacturing is now one of the most powerful manufacturing systems in the competitive world. Numerous organizations around the world have implemented and adopted it to enhance their productivity through reduction and …
Published in Journal of Industrial Safety Engineering · Vol. 4, Issue 1, 2017 · pp. 5–9 Read article
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Nanotechnology-Based Cosmeceuticals for Anti-Aging and Skin Regeneration
Abstract: Nanotechnology has transformed the cosmetic industry of the cosmeceuticals by allowing the production of sophisticated delivery systems that improve the stability, penetration, bioavailability, and therapeutic efficacy of active ingredients in cosmetics. The present review identifies the value of nanotechnology-based cosmeceuticals in anti-aging and skin regeneration, with special focus on the recent developments in nanocarrier technologies and their use in dermatology. Many nanocarriers have exhibited great potentials in enhancing delivery of …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 2, 2026 · pp. 33–45 Read article
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Smart Parking Solutions: Optimizing Urban Mobility Through Real-Time Apps
Abstract: The changing nature of urban transport has made the city more complicated, with a spiking number of vehicles and a lack of parking facilities. Smart Parking Solutions provide innovative solutions to solve this problem by using real-time information, mobile apps and IoT. The present study presents the aspect of integrating smart parking systems into the urban transportation systems and the role of real-time apps in maximizing parking efficiencies in relation …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 36–61 Read article