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1609 articles for “thinning”
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Enabling Intelligent Interoperability: Advancing Sensor Networks Through the Semantic Sensor Web (SSW)
Abstract: The Semantic Sensor Web (SSW) is an evolution of the traditional Sensor Web, integrating semantic web technologies to enhance the discovery, interpretation, and integration of heterogeneous sensor data. By embedding semantic annotations into sensor observations and metadata, SSW enables automated reasoning, improved interoperability, and more sophisticated querying capabilities across diverse sensor networks. This approach addresses key challenges in handling large-scale, distributed, and dynamic sensor data, particularly in domains such as …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 21–37 Read article
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Role of Generative AI in Redefining Data Analytics
Abstract: The rapid evolution of data-driven technologies has introduced both significant challenges and promising opportunities within the field of data analytics. Among the most impactful advancements is Generative Artificial Intelligence (Generative AI), a groundbreaking subset of AI that is reshaping how data is interpreted, generated, and utilized. Unlike traditional analytical tools that rely solely on existing data patterns, generative AI possesses the capability to create synthetic data, simulate complex scenarios, and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 01–07 Read article
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Electrodeposition and Magnetron Sputtering of Rhenium Coatings on Carbon-Carbon Composites for Enhanced Corrosion Resistance and Structural Integrity
Abstract: It is well known that tailored materials are gaining in-roads to aviation and other manufacturing industries where stringent requirements are to be met, due to high temperature erosion, which is a problem. In order to counter these issues, materials which can resist a very high temperature are to be sought. One of the several methods to combat this high temperature issue is to provide a metallic refractory material coating on …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 35–44 Read article
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Study of Energy Efficiency in IoT Devices
Abstract: The Internet of Things (IoT) is transforming industries and daily life by connecting billions of devices, yet its growth presents significant energy efficiency challenges. This paper explores strategies to address these challenges by investigating energy harvesting techniques and low-power communication protocols. Energy harvesting methods, including solar, kinetic, and thermal energy, offer sustainable alternatives to traditional battery-powered IoT devices, reducing dependency on non-renewable resources and enabling longer operational lifetimes. Simultaneously, low-power …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 34–40 Read article
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IoT and Sensor Technologies: Pioneering Smart Agriculture for a Sustainable Future
Abstract: Smart agriculture provides creative answers to important global problems including resource efficiency, environmental sustainability, and food security. It improves agricultural yields, reduces waste, and optimizes farming operations by combining technologies like IoT, AI, and big data. This strategy ensures dependable food supply for a growing population while minimizing environmental damage and promoting sustainable development. In addition to solving the problems facing agriculture now, smart agriculture opens the door to a …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 1–8 Read article
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Automation of Waste Segregation System by Using IoT
Abstract: The rapid urbanization and the increasing volume of waste generation have made waste management a critical issue globally. Efficient waste segregation at the source is one of the most effective ways to reduce the adverse environmental impact of waste disposal. In this study, we propose an automated waste segregation system based on Internet of Things (IoT) technology, aimed at improving the efficiency of waste management. The system integrates a range …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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A Neuromorphic-Inspired, Low-Power VLSI Architecture for Edge AI in IoT Sensor Nodes
Abstract: As the proliferation of Internet of Things (IoT) devices continues to rise, there is an increasing demand for real-time, energy-efficient artificial intelligence (AI) processing directly at the network edge. Traditional edge AI accelerators, often based on deep learning models like convolutional neural networks (CNNs), struggle to meet the ultra-low-power requirements of battery-constrained IoT sensor nodes. In response to this challenge, this study introduces a neuromorphic-inspired, low-power very- large-scale integration (VLSI) …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 41–47 Read article
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KSK Approach: An AI-Driven IoT Based Decision Making System’s Study
Abstract: Internet of Things (IoT) has promised a world of interrelated devices, generating vast amounts of data. Traditionally, IoT systems trusted on preprogrammed procedures and human intervention to process data and make decisions. This approach often struggled to hold the sheer size and density of IoT data, leading to inefficiencies and missed opportunities. However, the true budding of that data lies not simply in its collection, but in its interpretation and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 14–25 Read article
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The Effect of Attachment Styles on Emotional Regulation Impacting Relationship Satisfaction: An Exploratory Case Study Design
Abstract: This study explores the impact of early attachment experiences, emotional regulation, and relationship dynamics among six participants through a qualitative case study approach. Using thematic and narrative analyses, the research identifies key patterns in emotional suppression, fear of abandonment, trust issues, and self-awareness. Participants' narratives reveal how childhood experiences with caregivers influenced their emotional regulation strategies and attachment styles in adulthood. Findings indicate that those with secure emotional upbringings exhibited …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 1–17 Read article
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Formulation and Evaluation of Transdermal Patch to Enhance Treatment of Alopecia
Abstract: The improvement of novel topical sedate conveyance frameworks has picked up noteworthy consideration due to their potential in upgrading the helpful viability and persistent compliance whereas minimizing systemic side impacts. This thinks about centers on the definition and assessment of transdermal patches planned to discharge allicin, the essential naturally dynamic compound determined from garlic (Allium sativum) extricate. Allicin is eminent for its wide range of pharmacological properties, counting antimicrobial, anti-inflammatory, …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 20–33 Read article
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Revitalizing Urban Canyons Through Innovative Thermal Strategies
Abstract: Urban canyons, environments very densely made up of tall buildings clustered on narrow streets, are treacherous when it comes to considerable heat retention and greatly increase wind speeds. The resulting conditions fuel the Urban Heat Island effect. That means urban canyons feel very hot and this of course harms both comfort and health of those who dwell in them. This research tackles the serious issue of discomfort due to heat …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 2, 2025 · pp. 1–11 Read article
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Electric Scooty Purchasing Recommendations Using Customer Review
Abstract: As environmental awareness and sustainable practices have grown, E-scooters, often known as electric scooters, have gained popularity as a replacement for traditional automobiles. This research focuses on developing a recommendation framework for purchasing e-scooters, leveraging customer reviews as the primary data source. By analyzing reviews from diverse platforms, the framework aims to identify critical factors influencing customer satisfaction, including performance, battery life, design, comfort, and cost-efficiency. When we are considering …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 92–102 Read article
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Effect of Mindfulness, Meditation, Yoga on Mental Health
Abstract: In the last few years to improve quality of life importance has been given to the alternative method of therapy. Yoga, Meditation and Mindfulness has a positive impact on mental well-being. These alternate therapies of healing which help in self-healing tendencies. These alternate ways are both safe and effective treatment and it helps to stimulate positive thinking, destress, resilience, improved interpersonal relationships and increased productivity. Yoga, Meditation and Mindfulness has …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 73–78 Read article
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Design and Implementation of an Online Food Ordering System
Abstract: This study illustrates how the Online Food Ordering System has been tailored specifically to address the operational needs of Hotel Ambika, a semi-urban establishment. The system is designed to offer customers a smooth and interactive experience, allowing them to navigate through an organized menu, personalize their orders, and complete transactions with minimal effort. By using secure payment gateways and a virtual cart for easy order management, the system ensures a …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 106–115 Read article
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Advancements in Machine Learning: A Comprehensive Review of Algorithms, Applications, and Future Directions
Abstract: Gaining knowledge of Machine learning (ML)-guided format algorithms leverage predictive models to generate novel devices with optimized properties across several domains, which include drug discovery, fabric synthesis, and biomolecular engineering. Selecting an effective format set of policies consists of identifying appropriate hyperparameters, predictive models, and generative mechanisms to maximize format fulfilment. This study introduces an established method for set of policies requirements, ensuring that generated designs meet predefined fulfilment criteria, …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 17–33 Read article
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Biodegradable Polymer Composite Materials for Long-Term Drug Release in Pharmacotherapy
Abstract: Biodegradable Polymer composite materials are a promising choice for controlled drug delivery because they let medicine be released slowly over time during treatment. These structures, which are made from safe, recyclable plastics, work well to make sure that drugs stay in the body for a long time. This means that patients will take their medicine less often and more consistently. As the body breaks down these structures, the drug inside …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 533–546 Read article
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Online Skill-boost Platform (Eduverse)
Abstract: Eduverse is a cutting-edge, web-based educational platform developed to transform the way coding is taught and learned. It focuses on making programming more accessible, engaging, and effective by combining gamification techniques, AI-powered personalized tutoring, and hands-on coding challenges inspired by real-world problems. Unlike traditional learning environments that often rely on static lessons and limited interaction, Eduverse offers a dynamic and adaptive experience tailored to individual learning styles and skill levels. …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 01–06 Read article
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AI, Robotics, and the Future of Waste Management: A Systematic Review of Advanced Collection and Sorting Systems
Abstract: The rapid growth of cities and rise in population have made waste management a major concern that calls for innovative and efficient solutions. Conventional waste collecting techniques are dangerous, time-consuming, and frequently ineffective. The development of automated waste management systems powered by cutting-edge technology like robotics, deep learning, artificial intelligence (AI), and the Internet of Things (IoT) is examined in this study. Vision-based systems, convolutional neural networks (CNN) for garbage …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article
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Innovative Applications of Smart Materials in Aviation: A Comprehensive Review
Abstract: Smart materials are transforming the aviation industry by offering innovative solutions that enhance performance, safety, and sustainability. The use of smart materials can enhance the efficiency, safety, and longevity of aerospace structures by sensing, responding, and adjusting to environmental changes in real time. The objective of this review is to examine how smart materials can be used in aviation, especially in the field of sensor networks, control systems, and structural …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 114–132 Read article