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482 articles for “AI-based solution”
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Oculight: AI Based System for Visual Assistance to Blind and Visually Impaired People
Abstract: This research introduces a new captioning model that utilizes both image and caption models to produce textual descriptions of images. By combining a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network (RNN), this deep learning architecture offers a promising solution for improving the quality of life and independence of blind people through AIbased systems. The system's implementation on an Android device ensures that it is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 22–29 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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SmartMed: An AI Powered Platform for Instant Medicine Access and Prescription Understanding
Abstract: Access to medicines during emergencies and the lack of prescription clarity remain significant challenges in modern healthcare systems. Most existing online pharmacy platforms primarily focus on home delivery services and do not provide real-time visibility of nearby pharmacy stock or intelligent prescription interpretation support. This limitation often delays treatment and creates confusion for patients. This paper presents a Smart Medicine Availability, Delivery, and AI Consultation System that integrates real-time pharmacy …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 1–15 Read article
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IOT Based Worker Safety Monitoring and Alerting System in Coal Mines
Abstract: Protection is the most dynamic fragment of any kind of industry. In the mining industry, protection and security are essential. To evade any kind of fortunes, the mining industry tracks some elementary safety measures. Still, fate plays out in deep mines as temperatures rise, water levels rise, and methane gas leaks. Currently, we offer protection to employees. When an employee is at risk, he can press the panic switch to …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 2, 2023 · pp. 28–36 Read article
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AI-Enabled Linear Regression Model for Spectroscopic Milk Adulteration Analysis
Abstract: Milk adulteration poses a serious threat to public health and quality assurance in the dairy industry. This requiring rapid, reliable, and non-destructive detection techniques. This study presents a linear regression-based analytical model for identifying and quantifying milk adulteration using spectroscopic data. Spectral measurements of milk samples, including both pure and adulterated variants were acquired using spectroscopic techniques at relevant wavelengths.Blending of other components in pure milk , is specifically called …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 28–42 Read article
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A Review on Arduino Based Distance Measurement Device
Abstract: Distance measurement plays a vital role in modern engineering applications such as robotics, defense systems, automotive safety, industrial automation, and assistive technologies. Traditional measuring tools such as rulers and measuring tapes are simple but not suitable for real-time and dynamic environments. On the other hand, advanced technologies such as LiDAR and radar provide high accuracy but involve high cost and complex implementation. This review paper provides a thorough analysis of …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 40–46 Read article
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Development of Chemi-resistive Polymeric Sensors for Innovations in Smart Buildings Interfacing with AI Systems
Abstract: The Elevator efficiency has become a critical concern in modern buildings, where frequent, unnecessary stops are a major inconvenience for tenants and contribute to significant energy consumption. Traditional elevator systems often halt on every floor, even when not required, leading to inefficiencies that are particularly costly in high-rise buildings. This paper proposes a smart elevator system using Artificial Intelligence (AI) and image processing to address these issues. By intelligently analyzing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1426–1438 Read article
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Fault Detection and Online Monitoring of Three Phase Induction Machine using Embedded Platform
Abstract: Protection of three phase induction machine is very important in industrial applications and it plays a vital role in our everyday life. This protection system protects the three phase induction motor from single phasing, under voltage, over voltage over current, and over temperature. Induction motors are kept in operation through tracking its condition in a continuous manner to minimize their unplanned down times. To avoid the consequence of unexpected failure …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 2, 2018 · pp. 17–24 Read article
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Development of a Plant-Derived Bacteriological Culture Medium as an Alternative to Conventional Nutrient Agar
Abstract: Microbiological research extensively uses culture media for the cultivation and study of microorganisms. However, the traditional nutrient agar, which contains animal-derived components, presents ethical and accessibility challenges. This study aims to tackle these issues by creating a plant-based bacteriological culture medium as a sustainable and cost-effective alternative. The primary objective is to satisfy the growing demand for ethical and accessible culture media by utilizing the nutritional richness of common plant …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 11, Issue 3, 2024 · pp. 1–9 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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Design of Electronic Voting Portal Using Blockchain Technology
Abstract: AbstractCreating an electronic voting infrastructure that meets law makers legal requirements has been a longstanding challenge. Broadly, this paper explores the blockchain technology through a case study summary, namely the election process and the implementation of a blockchain-based application that enhances security and reduces the cost of hosting a national election. This paper aims to find a solution to the current existing problems in the election procedure. This paper is …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 2, 2020 · pp. 13–19 Read article
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A Review: Identification of Credit Card Fraud Using Machine Learning and Anomaly Detection Approach’s on Imbalanced Data
Abstract: Credit cards are among the most widely used payment methods in today's culture, and online purchases have become quite popular. Credit card fraud has emerged as a problem in this industry as a direct result of its popularity. The issue of credit card fraud is becoming a global problem. Credit card fraud has increased due to the widespread use of these payment methods. Thanks to credit card use, e-commerce has …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 27–40 Read article
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Insurance Chatbot for Customer Support Using LLM and Generative AI
Abstract: The Insurance Chatbot for Customer Support is an AI inspired solution designed to streamline customer interactions within the insurance industry. The main purpose of Large Language Models and Generative AI in the chatbot enhances accessibility to policy details, facilitates seamless policy enrollment and enables real time claims tracking. Its ability to process natural language queries ensures accurate and intuitive responses, significantly reducing customer confusion and operational inefficiencies. This chatbot addresses …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 · pp. 41–47 Read article
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AI-Based Criminal Identification System A Breakthrough Approach
Abstract: Identifying and locating a perpetrator is a time-consuming and difficult process. The perpetrators are growing more skilled, leaving no biological evidence or fingerprint impressions at the crime scene. Using cutting-edge face recognition technology is a quick and easy solution. Through the use of linear programming, this research presents an innovative approach to classifying all face tracks collectively. In addition to the following, it incorporates: a novel method for extracting more …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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Optimizing Urban Mobility with AI-Based Traffic Management
Abstract: Urban mobility is a pressing concern in modern cities, plagued by issues like traffic congestion and pollution. This research involves, "Optimising Urban Mobility with AI-based Traffic Management", delves into the potential of Artificial Intelligence (AI) to revolutionize traffic management. Focusing on AI algorithms, data analytics, and sensor technologies, the research aims to enhance traffic flow, reduce congestion, and improve overall efficiency. Through statistical analysis and simulations, the research evaluates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 34–43 Read article
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An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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Hybrid Battery Swapping Station for EV Using Robotic Arms
Abstract: The Robotic Arm-Based Battery Swapping System indeed marks a significant stride in merging technology and sustainability. Its integration of robotics, computer vision, and renewable energy positions it as a ground breaking solution, reshaping the landscape of electric vehicle charging. This automated approach not only tackles inefficiencies in current methods but also serves as a blueprint for future advancements in the domain. The inefficiencies inherent in conventional electric vehicle battery replacement …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 16–23 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
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Effective Implementation of Apriori Algorithm to Develop a Suggestion System Based on Sales History Using Hadoop Environment
Abstract: AbstractThe need for comprehensive support system to analyze and predict the nature of the dynamic market based on the previous records is very vital in competent industries today. The data mining is a process of extracting implicit, previously unknown and potentially useful information from data. Mining is search for relationships and global patterns that exist in the large databases but that are hidden among vast amount of data. Since the …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 8–16 Read article
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Study of Osmotic Dehydration as a Pretreatment for the Conservation of araçá-boi (Eugenia stipitata Mc Vaugh-Myrtaceae), a Regional Amazonian Fruit
Abstract: This work aimed to study the use of osmotic dehydration and drying as a conservation technique for araçá-boi, a regional fruit from the Amazon. In dehydration, solutions of sucrose and glucose syrup were used. The experimental design was based on the factorial planning 22, varying the time (6, 12, and 18 h) and concentration of the solution (50, 60, and 70%). The samples obtained in the best dehydration conditions were …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 10, Issue 2, 2021 · pp. 44–53 Read article