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154 articles for “extension and demonstration”
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A Low Embodied Energy Approach for Early Design Decisions in Agritourism Centers in Pune
Abstract: Agritourism is an idea that empowers and trains the rural family, organization, or individual to generate alternative sources of income by transforming their traditional agricultural land into a tourist attraction. Agritourism is the practice of attracting visitors to an area used primarily for agricultural purposes. It could be described as – rural/agricultural environments + farm commodities + tourism services = agritourism. It gives visitors an experience to stay in a …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 1, 2025 · pp. 29–41 Read article
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1D-Nano-Scale Porous Silicon (1D-Psi) as Optical Sensor Device
Abstract: This research article embarks on a thorough experimental inquiry into the detection of kerosene adulteration in petrol, employing a sophisticated one-dimensional microcavity of nano-scale porous silicon (1D-PSMC) sensing device. The significance of this investigation stems from the detrimental consequences of petrol adulteration, which not only aggravates environmental pollution but also jeopardizes the functionality and durability of machinery components, thereby posing significant economic and environmental challenges. The 1D-PSMC, designed to function …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 69–75 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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A Review on Applications of Artificial Intelligence (AI) in Parkinsons’s Disease Diagnosis and Treatment and Its Future Challenges
Abstract: Parkinson’s disease (PD) is a long-term, progressive neurodegenerative disorder that mainly occurs in people older than 60 years, affecting nearly 1% of this population. It is chiefly marked by the loss of dopaminergic neurons in the substantia nigra, a crucial brain region responsible for controlling motor functions. The resultant dopamine deficiency significantly disrupts motor control, manifesting in clinical symptoms such as tremors, bradykinesia, muscle rigidity, and postural instability. While PD …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 1–15 Read article
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Influence of SlS Parameters on Strength and Fatigue Durability of Polyamide-12
Abstract: Selective Laser Sintering (SLS), a laser-based polymer powder bed fusion process, has gained prominence in the fabrication of high-performance thermoplastics such as Polyamide-12 (PA12). This paper provides an extensive review of how key SLS process parameters—such as laser power, scan speed, hatch spacing, and energy density—affect the mechanical properties of PA12 components, with a specific focus on tensile strength and fatigue resistance. Studies demonstrate that increasing energy input enhances particle …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 178–191 Read article
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Sub-watershed wise Runoff Modeling using Drainage Morphometric Analysis in Karur District, Tamil Nadu, India through Remote Sensing and GIS Techniques
Abstract: Morphometric examination, being extensively used to evaluate the drainage individuality and have been found to be a helpful tool to identify areas runoff prone sub-watersheds in this current study. Remote Sensing and Geographical Information System has been demonstrated as successful apparatus in the demarcation of drainages and sub-watersheds boundary and morphometric investigations of sub-watersheds. The current study integrates a morphometric study of 68 sub-watersheds of Karur District, Tamil Nadu, India. …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 2, 2019 · pp. 52–65 Read article
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Variation of Ground Acceleration with Increase in Lateral Distance
Abstract: Ground acceleration induced by dynamic loading decreases with increasing lateral distance from the source because of wave attenuation and energy dissipation through the ground. Accurate estimation of ground acceleration at different distances is essential for evaluating the safety and performance of nearby structures, particularly in blasting, seismic, and heavy construction activities. This study presents a simplified linear attenuation model for estimating ground acceleration at greater lateral distances using limited measured …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 21–27 Read article
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Mechanical and Morphological Analysis of Jute/Manila Hemp Hybrid Composites for Enhanced Structural Performance
Abstract: Natural fiber composites are renowned for their lightweight, strength, corrosion resistance, and high strength-to-weight ratio, often surpassing traditional metals. Despite challenges such as poor fiber-matrix adhesion and moisture susceptibility, hybridizing composites present a viable solution by enabling tailored properties for optimal performance. This study investigates hand-lay-up processed natural fiber composites, specifically woven jute/epoxy, non-woven manila hemp/epoxy, and their hybrid variants. Extensive testing was conducted on mechanical properties including hardness, flexural …
Published in Journal of Polymer & Composites · Vol. 12, Issue 8, 2024 · pp. 1–11 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Development and Characterization of Antimicrobial Polymer Composites for Food Packaging Applications
Abstract: The increasing demand for sustainable and antimicrobial food packaging materials has led to extensive research in polymer-based composites. This study focuses on developing a polyethylene terephthalate-ethylene vinyl acetate (PET-EVA) composite reinforced with metal oxide nanoparticles (MONs), including Cu₂O, ZnO, and MgO₂. These nanoparticles were selected for their antimicrobial properties and ability to enhance the functional characteristics of the composite. Structural, chemical, mechanical, and barrier properties were extensively evaluated to determine …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 86–93 Read article
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A Review of Tailor Craft E-Commerce: Design, Implementation, and Evaluation
Abstract: The rapid growth of e-commerce has transformed consumers' purchasing and interaction with businesses. In particular, the clothing and fashion industry has embraced digital platforms to extend its reach, improve accessibility, and offer convenience to its customers. However, challenges such as unclear product information, insecure payment methods, poor user experience, and inefficient order tracking still limit customer satisfaction on many platforms. The Tailor Craft E-Commerce project aims to bridge these gaps …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 · pp. 39–47 Read article
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Single Case Study on the Effectiveness of Macquarie Injury Management Group (MIMG) Protocol on the Subject of Primary Osteoarthritis of Knee
Abstract: Aim: To check the effectiveness of Macquarie Injury Management Group (MIMG) protocol in subject of primary osteoarthritis of knee. Purpose: Manual therapy has been shown to be an effective treatment for knee osteoarthritis, but it is necessary to evaluate the effectiveness of the MIMG manual therapy technique. However, there is a dearth of literature on the effectiveness of Macquarie injury management group (MIMG) protocol in subject of osteoarthritis of knee. …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 7–12 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 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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Polyhedral Compilation for Imperative Loops: Foundations, Advances, and Emerging Frontiers
Abstract: Polyhedral compilation is a mathematically rigorous framework that models imperative loop nests as sets of integer points constrained by affine inequalities, enabling precise reasoning about data dependences and the legality of complex program transformations. Over the past decade, this framework has evolved from an academic formalism into a practical compiler technology deployed in production compilers, high-performance computing libraries, and machine learning acceleration toolchains. This review surveys the theoretical underpinnings of …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 7–15 Read article
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The Impact of Food Fortification on Health and Nutrition
Abstract: This comprehensive study explores the critical role that food fortification plays in enhancing nutritional outcomes and overall health. Through an extensive review of existing literature, this article explores the diverse ways in which fortifying foods with essential nutrients positively influences public health. This analysis encompasses the benefits of fortification by addressing micronutrient deficiencies, promoting overall well-being, and preventing various health conditions. Food fortification is a pivotal intervention in the realm …
Published in International Journal of Nutritions · Vol. 1, Issue 1, 2024 · pp. 13–18 Read article
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Role of Alkalinized Topical Heparin and Lignocaine Preparation in Burn Wound
Abstract: Burns can severely damage a patient's physical and mental health. We should consider pain, hospital stays, lost workdays, and financial strain while handling these patients. Burn patients need rapid specialist care to reduce morbidity and death. Heparin is anti-inflammatory, allergic, histaminic, serotonin-blocking, and proteolytic enzyme-blocking. Topical forms have been used to prevent burn extension, limit skin tissue loss, promote quicker healing with fewer contractures, relieve pain, reduce tissue oedema and …
Published in Trends in Drug Delivery · Vol. 10, Issue 2, 2023 · pp. 16–19 Read article
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Effectiveness of Muscle Energy Technique Versus Conventional Therapy on Hamstring Tightness Among Sportspersons: A Comparative Study
Abstract: Background: Hamstring tightness is a frequent musculoskeletal concern among athletes, often contributing to limited flexibility, decreased performance levels, and a higher likelihood of sustaining injuries. Muscle energy technique (MET) has gained attention as a therapeutic approach aimed at enhancing muscle length and improving overall function. Objective: This study aims to evaluate and compare the effectiveness of the MET with that of traditional physiotherapy methods in alleviating hamstring tightness in sportspersons. …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 23–27 Read article
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A Study on “Clean" in Beauty: A Machine LearningApproach to Ingredient Transparency and ConsumerTrust
Abstract: The burgeoning "clean beauty" market, while driven by consumer demand for safer and more sustainable products, is plagued by ambiguous definitions and the pervasive challenge of "greenwashing". This ambiguity hinders informed consumer choices and complicates brand authenticity. This study addresses these complexities by developing a novel machine learning (ML) framework designed to objectively analyze cosmetic ingredient lists, classify products based on their "cleanliness" profile, and identify key ingredient attributes that …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Comprehensive study of Entanglement Entropy in Quantum Field Theory: Analysis of Conformal Field Theory to Massive Field Extensions and Holographic Entanglement
Abstract: This paper provides an in-depth analysis of entanglement entropy (EE) in quantum field theory (QFT), with a particular focus on its computation using the replica trick and its applications to both conformal and non-conformal systems. Beginning with an introduction to the basics of QFT, the study explains how entanglement entropy quantifies the quantum correlations between subsystems in a pure state, represented by the von Neumann entropy of the reduced density …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 3, 2024 · pp. 33–58 Read article