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1044 articles for “Processing technologies”
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Biomimetic Approaches to Damage Tolerance: Lessons from Natural Materials
Abstract: Biomimicry has emerged as a powerful and innovative strategy for designing materials with enhanced damage tolerance by drawing inspiration from biological systems found in nature. Various natural materials, such as bone, nacre (mother-of-pearl), and spider silk, display exceptional mechanical properties, including high toughness, superior strength, and inherent self-healing capabilities. These remarkable attributes arise from their complex hierarchical architectures and adaptive mechanisms, which have been refined over millions of years through …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 11–16 Read article
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Eco-Friendly Elixirs: A Critical Review of Biosurfactants for Sustainable Wastewater Solutions
Abstract: Biosurfactants are the amphiphilic substances which are acquired from the remains of the living microorganisms and have attracted a lot of scientific interests because of their applicability in various fields. This review aims at reviewing current research and development on biosurfactants with special emphasis on their application in wastewater and oil. Biosurfactants being less hazardous to the environment are produced by microorganisms and works as a substitute for chemically produced …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 2, 2024 · pp. 14–33 Read article
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Comprehensive Introduction: Epoxy and Polyurethane Floor Coatings—A Critical Evaluation for Modern Industrial Applications
Abstract: Industrial flooring systems are essential for ensuring operational durability, safety, and longevity in demanding environments. Epoxy and polyurethane (PU) coatings represent two predominant technologies, each offering distinct mechanical, chemical, and aesthetic profiles tailored to specific performance requirements. Epoxy systems, formed through the crosslinking of bisphenol-A-based resins with amine hardeners, excel in high-strength, chemically aggressive settings due to their superior hardness, adhesion, and chemical inertness. In contrast, PU coatings, synthesized from …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 14–23 Read article
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Study on Single-Slope Solar Still for Experimental and Data-Driven Analysis for Improving Productivity with Different Basin Materials.
Abstract: This study investigates the single-slope solar still under the diurnal variation of water temperature and distillate yield under identical operating conditions. Experimental analysis was conducted to evaluate the performance enhancement through the incorporation of natural basin materials, namely hemp and sand. The water distillation process is focused on improving potable water productivity and thermal behaviour. The inclusion of hemp and sand in the basin leads to noticeable differences in productivity …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 2, 2026 · pp. 31–46 Read article
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Photonic-Assisted Spintronic Solid-State Switching Model for High-Speed Memory Devices
Abstract: The rapid advancement of high-speed computing and data-centric applications has intensified the demand for energy-efficient and ultra-fast memory technologies. This paper proposes a Photonic-Assisted Spintronic Solid-State Switching Model for next-generation high-speed memory devices. The proposed framework integrates photonic excitation mechanisms with spintronic switching dynamics to enhance data transfer speed, minimize switching delay, and reduce power dissipation in solid-state memory architectures. By combining optical pulse-assisted spin polarization with magnetic tunnel junction-based …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Multipurpose Farming Robot Control
Abstract: Conventional agricultural practices frequently involve a significant amount of manual labor and are prone to inefficiencies and resource waste.The relevance of incorporating robotics and mobile technology into agriculture lies in addressing several critical challenges faced by the industry. The implementation of IoT technology in smart farming systems. It covers various IoT applications in agriculture, such as environmental monitoring, automated irrigation, and precision farming, highlighting the benefits and challenges of IoT …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 19–25 Read article
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HirePrep: A Microservice-Based Integrated Placement Preparation Platform with AI Assistance
Abstract: Preparing for campus placements can be a confusing and time-consuming process. Students have to use different platforms for things like practice tests, study materials, talking to people, and getting updates from the administration. This is not a waste of time, but it also makes it harder for students to be productive and clear about what they need to do when they are getting ready for their careers. To make things …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 25–37 Read article
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Enhancing Road Safety: A System for Vehicular Accident Detection, Prevention, and Rescue Alerts
Abstract: The Vehicular Accident Detection, Prevention, and Rescue Alert System is a comprehensive solution aimed at bolstering road safety by integrating multiple advanced technologies. It merges drowsiness detection, alcohol level monitoring, and instant emergency alerts to mitigate accidents and expedite rescue efforts. Modern computer vision and machine learning techniques are used by the Drowsiness Detection Alarm to track driver conduct and spot drowsiness indicators. Upon detecting drowsiness, an immediate alarm is …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 7–11 Read article
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Smart Management of EV Charging Station Using AI Chatbot & TOM API
Abstract: This paper endeavors to address the pressing challenges associated with EV charging by proposing a comprehensive smart management system for EV charging stations. The system aims to streamline the EV charging process, making it more accessible, convenient, and sustainable for users. By harnessing the power of renewable energy sources, particularly photovoltaic systems, the paper seeks to mitigate the environmental impact of EV charging while simultaneously optimizing resource utilization. Through innovative …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 16–23 Read article
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Optimizing Glass to Metal Composite Seal Performance: An integrated Approach with Artificial Neural Network, Multiple Regression, and Taguchi
Abstract: Composite materials, particularly glass to metal composites, are critical components in solar receiver tubes, where vacuum leakage can significantly compromise the efficiency of solar plants. This research addresses the technical barriers associated with the development of durable and high-quality glass to metal composite seals. We investigate the principles that can enhance the physical and chemical properties of these composite seals, focusing on the incorporation of TiO2 and MgO nanoparticles into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 418–435 Read article
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A SHAP - Enhanced Voice-Based Conversational Agent for Agriculture Using BERT
Abstract: The integration of advanced artificial intelligence technologies into modern agriculture has become increasingly important for narrowing the persistent knowledge gap faced by farmers, especially in regions with limited access to expert advisory services. While state-of-the-art language models such as BERT (Bidirectional Encoder Representations from Transformers) demonstrate exceptional performance in understanding and generating natural language, their opaque “black-box” nature often limits user confidence, trust, and widespread adoption. Farmers may hesitate to …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Electrical Measurements on La-modified Four-Layered Aurivillius Ceramics
Abstract: Bismuth layered structure ferroelectric (BLSF) of Aurivillius family is found to be attractive owing to its scientific and technological point of view. These materials have potential ferroelectric applications owing to the fact of its high Curie temperature, high temperature piezo-devise and ferroelectric random access memory (FRAM), applications. In addition, Bi-modified compounds have shown improved ferroelectric properties. However, the plausible reason for improving ferroelectric properties in Bi-modified is still unclear. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 157–170 Read article
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Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration
Abstract: The “Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration” project is a cutting-edge solution for intelligent traffic monitoring, with YOLO v8 (You Only Look Once) serving as the fundamental technology for real-time vehicle detection and traffic counting on roads. In addition to these features, the system interfaces effortlessly with data pipelines and machine learning projects by storing gathered traffic data in CSV (Comma-Separated Values) format. The major goal of …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 20–24 Read article
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Development of a Low-Cost Autonomous Robot for Obstacle Avoidance Using Ultrasonic Sensing
Abstract: In the evolving landscape of automation, autonomous mobile robots are becoming critical for performing tasks with minimal human intervention. This project presents the design and development of a cost-effective, small-scale obstacle-avoiding robot using an Arduino microcontroller and an ultrasonic sensor. The robot operates by scanning its surroundings, identifying nearby obstacles, and navigating by altering its path in real time. Through intelligent programming and sensor integration, the system achieves smooth, collision-free …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 1–11 Read article
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Experimental Analysis of Axially Compressed Precast Concrete Pressure Pipes Filled with Concrete
Abstract: Humanity has always been at the mercy of natural disasters, which frequently result in widespread devastation and displacement. However, scientific advancements, technological innovations, and extensive research have significantly mitigated the loss of life, property, and essential resources. One of the critical challenges in the aftermath of disasters is providing adequate and timely shelter, food, and medicine to the affected populations, often under constrained resources and logistical difficulties. In response to …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 28–37 Read article
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Smart Home Safety Using Fire and Gas Detection System
Abstract: In a world where technology is advancing at a rapid pace, one goal of smart homes is to protect the safety of the house and, most importantly, the people who live there. An essential part of our suggested systems' functionality is the inclusion of fire and gas detection sensors. The increasing use of smart homes has shown new ways of increasing security and safety through including intelligent techniques in proper …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 1, 2024 · pp. 35–43 Read article
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A Review on Heavy Metal Removal Techniques in Water Treatment
Abstract: The removal of heavy metal ions from wastewater is crucial for environmental safety and human health due to the toxic and persistent nature of these pollutants. This review comprehensively examines various water treatment methods, including adsorption, membrane filtration, chemical precipitation, electrochemical, and photocatalytic processes. Each technique is critically analyzed in terms of removal efficiency, operating conditions, and their respective advantages and limitations. Adsorption methods, particularly those using bioadsorbents, have gained …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 3, 2024 · pp. 15–28 Read article
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ProjectTrack: Streamline Project Management
Abstract: ProjectTrack is a streamlined project management platform tailored for academic institutions to enhance the handling of student projects. It addresses critical challenges such as group formation, topic submission, task allocation, and progress monitoring by automating and organizing these processes through an intuitive digital interface. A key feature is its machine learning-based similarity check, which analyzes project abstracts to prevent topic duplication, thereby promoting originality and reducing redundancy. The platform supports …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 69–76 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article