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482 articles for “AI-based solution”
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Performance Evaluation of Semi-Dense Bituminous Macadam with Crumb Rubber Modified Bitumen
Abstract: This research focuses on evaluating the performance behavior of Semi-Dense Bituminous Macadam (SDBM) mixes incorporating 9% Crumb Rubber Modified Bitumen (CRMB), with varying proportions of bitumen binder. The aim is to understand how different binder contents influence critical pavement properties such as Marshall stability, flow value, bulk density, air voids, Voids in Mineral Aggregate (VMA), and Voids Filled with Bitumen (VFB). The experimental investigation reveals that increasing the bitumen content …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 2, 2025 · pp. 15–20 Read article
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Next-Generation Digital Pedagogies for Inclusive Education: Analyzing ICT Tools and Adaptive Strategies
Abstract: The advent of next-generation digital pedagogies has revolutionized inclusive education by harnessing cutting-edge Information and Communication Technology (ICT) solutions to enhance accessibility, equity, and adaptability in learning environments. This review provides a critical exploration of the strategic deployment of advanced ICT innovations, including AI- powered adaptive learning frameworks, immersive technologies such as augmented and virtual reality (AR/VR), intelligent tutoring systems, and blockchain-based credentialing mechanisms. These emerging technologies are examined within …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 Read article
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User Review-Driven Recommendation Model for E-Scooter Selection
Abstract: In the era of rising environmental awareness and the growing emphasis on sustainable mobility practices, electric scooters (e-scooters) have gained significant popularity as an efficient and eco-friendly alternative to conventional modes of transport. Their ability to reduce carbon emissions, minimize traffic congestion, and offer cost-effective commuting solutions has made them highly attractive, particularly in urban environments. However, with the rapid expansion of the e-scooter market, consumers are faced with an …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 6–16 Read article
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Review of Utilization of Alternative Energy for Refrigeration
Abstract: Refrigeration plays a vital role in modern life, with approximately 4.5 million refrigerators used worldwide each year. Most of these systems rely on conventional refrigerants such as R-12 and R-22. These chemicals create serious environmental effects such as they deplete the ozone layer and fuel climate change, largely because of their extremely high ozone depletion potential (ODP) and global warming potential (GWP). Growing environmental concerns and strict international regulations have …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 2, 2026 · pp. 25–35 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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IoT Based Weather Monitoring System
Abstract: The Internet of Things (IoT)-Based Weather Monitoring System is developed to provide accurate, real- time monitoring of essential environmental parameters, including temperature, humidity, and atmospheric pressure. The system integrates high-precision sensors with a microcontroller, enabling continuous data acquisition from the surrounding environment. Collected data is transmitted wirelessly to a dedicated IoT platform via an internet connection, allowing remote users to access and visualize the information through web or mobile interfaces. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 26–34 Read article
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The Digital Frontier in Mental Health for Modern Schools
Abstract: In the dawn of the 21st century, educational landscapes are evolving rapidly, moving beyond traditional brick-and-mortar confines and integrating deeply with the digital realm. This study delves into an emerging facet of this digital integration, using web development tools and platforms to address and bolster student mental well-being in contemporary schools. As mental health becomes a paramount concern, with its profound impact on academic performance, peer interactions, and holistic development, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 3, 2023 · pp. 15–23 Read article
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AI-Powered Smart Door Lock System with IoT Integration for Enhanced Home Security
Abstract: An AI-Powered Smart Door Lock System with IoT Integration for Enhanced Home Security system is an advanced security solution that utilizes sensors, microcontrollers, and authentication mechanisms to control access efficiently. This system is designed to enhance security and convenience by eliminating the need for traditional keys, reducing the risks associated with lost or duplicated keys. It operates using various authentication technologies such as RFID (Radio Frequency Identification), fingerprint recognition, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 34–38 Read article
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AI Robot for Sewer Inspection and Cleaning
Abstract: The advancement in technology has provided solutions to many practical problems that humans encounter in day to day activities. Even today manual scavenging of the drainage is practiced in almost all places of India, wherein men enter the manholes and clean the waste materials in the drainage manually with no technical equipment. According to study, in Mumbai on an average, consistently 20 sewer laborers pass on because of mishaps and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 1, 2021 · pp. 11–16 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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AI-Based Career Counselling
Abstract: Today, a wide variety of counsellors are accessible who provide individualized counselling to each student to assist them in making a well-organized career choice. Numerous websites offer online domain, personality, aptitude, and interest tests to determine which professional sector a particular student should select. A very challenging step in the career advising process is precisely identifying the most suited field and comprehending the current educational trends. Students do not seem …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 1, 2023 · pp. 18–24 Read article
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Potentials of Hybrid System in Powering Off-grid Macro Base Transmitter Station Site
Abstract: This paper explores the possibility of hybridizing the diesel generator source system with renewable energy sources and demonstrate the potential of renewable energies to replace (partially) diesel as a source of power for mobile base station sites. The concept of hybridizing the diesel generator is to reduce both the operating cost and the quantity of different air pollutants. The patterns of load consumption by mobile base station are studied and …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 4, Issue 2, 2013 · pp. 16–36 Read article
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AI-Driven IoT-Based Decision-Making System for Brainwave Study: The KSK Approach
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain–computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 28–35 Read article
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A Comprehensive Review on IoT and Edge Computing in Electronics: Trends, Challenges, and Future Directions
Abstract: The Internet of Things (IoT) transformed the electronics industry by enabling ubiquitous connectivity between billions of devices. This has created an unprecedented amount of data, challenging traditional cloud-based architectures with latency, bandwidth, and security issues. Edge computing came as an additive architecture by distributing computation and bringing intelligence to IoT edges to provide real-time responsiveness and reduce dependence on centralized infrastructure. This study offers a thorough analysis of current developments …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 1–9 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Smart Car Parking and Maintenance Systems: Leveraging IoT for Efficient, Sustainable Urban Transport
Abstract: One of the main objectives of the smart city aspect is to facilitate sustainable mobility, and one vital component of that is the creation of an intelligent parking system. The solution to the parking issue cities face is the allocation and monitoring of parking spaces. Using the results of this survey, we have investigated this issue. As a result, an effective parking management system is now required. We can provide …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 33–39 Read article
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BATTERY MANAGEMENT SYSTEM (BMS)
Abstract: This review of the literature delves into the changes, structure, and the latest BMS (Battery Management Systems) technologies implemented in electric vehicles, smart grids, and energy storage, respectively. The studies emphasize the need for accurate battery modeling, advanced estimation algorithms, robust hardware design, and safety regulations. The research describes how contemporary BMSs perform integration of modeling, monitoring, control, cell balancing, and diagnostics in order to facilitate safe and energy- efficient …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 32–43 Read article
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Review of Thermal Performance of Solar Air Heaters: Influence of Composite Materials and Advanced Thermal Storage Techniques
Abstract: Solar air heaters (SAHs) are essential devices for capturing solar energy and converting it into heat, finding applications in steam generation, refrigeration, agricultural drying, and space and water heating in residential and commercial environments. However, the thermal performance of SAHs is often limited by the low heat transfer coefficient of air and the absence of solar energy during nighttime, impacting efficiency and reliability. To address these challenges, this study explores …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 488–506 Read article
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Understanding Significance, Challenges and Barriers in Home-Based Medical Care – A Thematic Review of Literature
Abstract: Home-based medical care (HBMC) is emerging as a cornerstone of modern healthcare, offering a pragmatic solution to the evolving needs of patients. This form of care, which delivers personalized and patient-centric services, catering to individual needs within the familiar environment of their homes, is gaining traction for its ability to improve patient outcomes while simultaneously reducing healthcare costs. This thematic review of the literature aims to shed light on the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 66–71 Read article
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Integrating Advanced Technologies for the Scientific Revalidation of Ayurvedic Principles
Abstract: Background: Ayurveda, a 5,000-year-old holistic healthcare system, emphasizes the dynamic balance of body, mind, and spirit. Recent advancements in science and technology have accelerated its integration into global healthcare systems. Objective: This paper explores the contribution of modern tools and methodologies to the scientific validation and enhancement of Ayurvedic principles across education, clinical practice, and research. Methods: A comprehensive literature review was conducted using databases like PubMed, Google Scholar, and …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 1–6 Read article