Search
897 articles for “identification system”
-
Augmented Reality for Irrigation and Soil Moisture Detection
Abstract: Everything starts with water as its fundamental material. Water waste results from overconsumption, and it happens in agricultural areas as well. We suggest augmented reality for soil moisture measurement and irrigation to solve this issue. The farmer may irrigate the field with this idea and save water. Using augmented reality glasses, the soil 's moisture content is identified and visualized. The newest technology in the current world is augmented reality. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 14–21 Read article
-
Credit Card Fraud Detection Using Machine Learning Techniques
Abstract: Credit card fraud has become a significant concern in today's digital economy, with billions of dollars being lost annually to fraudulent transactions. Conventional rule-based approaches frequently prove inadequate in addressing the constantly changing strategies employed by fraudsters. Machine learning methods have emerged as robust solutions for detecting credit card fraud, presenting the capability to accurately identify fraudulent transactions promptly. In this study, we investigate the efficiency of three widely used …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
-
Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article
-
A Comparative Review of AI-driven 3D Modelling for Simplified Photogrammetry and Object Acquisition
Abstract: The field of photogrammetry, historically reliant on guide strategies, is undergoing a transformation with the emergence of AI-powered 3d modeling answers. This assessment work delves into this evolving panorama by using evaluating and comparing various AI-pushed gear presented by means of exclusive businesses. The study in particular makes a specialty of their effectiveness in simplifying photogrammetry workflows and facilitating the acquisition of 3D gadgets. The analysis contains a diverse range …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 21–32 Read article
-
Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 8–19 Read article
-
Exploring Phytochemicals from Ricinus Communis for Potential Therapeutic Applications in Rheumatoid Arthritis: An in-Silico Approach
Abstract: Aim: Rheumatoid arthritis (RA) is a long-term autoimmune condition characterized by the immune system mistakenly attacking the joints, leading to swelling, discomfort, and joint deformities. Current management strategies include anti-rheumatic drugs and biologics, which have limitations. This study aims to explore the therapeutic potential of Ricinus communis (castor bean plant) phytochemicals as plant-based therapies for autoimmune conditions, like RA. Methods: Phytochemicals from Ricinus communis were retrieved using the IMPPAT database, …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 32–41 Read article
-
Design, Synthesis, and Spectroscopic Elucidation of 3-Methyl-1-Phenylpyrazol-5-One: A Cheminformatics-Aided Approach to Heterocyclic Drug Scaffolds
Abstract: Pyrazolone, a notable heterocyclic compound, has drawn increasing interest due to its broad pharmacological profile and structural versatility. The synthesis, characterisation, and biological assessment of new pyrazolone derivatives are examined in this work. A comprehensive review of existing synthetic strategies is presented, emphasizing green and efficient methodologies. Novel derivatives were synthesized using varied starting materials and catalytic systems, followed by structural confirmation through spectroscopic analyses, including NMR, IR, and mass …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 29–40 Read article
-
A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
-
Direct Determination of the Frequency-Dependent Transmission Constants of Non-Uniform Two-Port Networks
Abstract: Due to space constraints and the expansion of electricity networks, transmission lines that cross close to one another are now commonplace. Power networks also commonly install higher operational voltage lines that share transmission corridors with lower voltage lines. Overhead transmission lines are the primary method for transmitting electrical energy across vast distances. This paper presents an efficient and direct technique for identifying the four frequency-dependent ABCD transmission constants of arbitrary …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
-
Smart EV Charging Infrastructure using IoT
Abstract: The Smart EV Charging Infrastructure employs IoT technology, cloud computing, and real-time monitoring to offer an easy and efficient charging experience for electric vehicle owners. The system is designed to enhance charging station operations by incorporating secure transactions, integration of renewable energy, and automated processes. It includes infrared sensors for slot detection, wireless inductive charging, dynamic billing, and RFID authentication, providing convenience and security. The system incorporates ThinkSpeak and ThinkView …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 13–22 Read article
-
Intelligent Polymer-Integrated Wearable Platforms for Sustainable IoT and Predictive Health Monitoring for Migraine Detection
Abstract: Migraine is a neurological disorder, and its effect on the global workforce is resultantly significant. However, the fact of the matter is the absence of notable technological breakthroughs and the fact that the technology presently available is reactive, meaning it tackles the symptoms of the attack after the attack has occurred. The requirement for this paper is, therefore, the provision of an innovative approach, and this paper will describe the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 946–960 Read article
-
Increasing Total Solar Irradiance on Far Future Climate: General Atmospheric Circulation
Abstract: The total solar irradiation at the top of the atmosphere is the primary forcing mechanism for the Earth's Climate System. In this work, we used the addition of 10% in the radiation value (from 1360 Wm−2 to 1496 Wm−2) to simulate the Earth's climate system in the habitable zone inner orbit. Two tenyear- long fully coupled simulations using the Community Earth System Model were performed; the CONTROL experiment was configured …
Published in Research & Reviews : Journal of Space Science & Technology Read article
-
A Review on Ethnomedicinal Claims of Gloriosa Superba Linn. (Langali).
Abstract: Aim: Gloriosa superba Linn., is a procumbent herbaceous climber and different parts of G. superba, have wide diversity of uses especially in traditional system of medicine among local healers. The goal of the current review is to gather information on research updates and claims pertaining to ethno medicine and folklore that is currently accessible. Material and Methods: Information and data regarding reported ethno medicinal uses and folklore claims of the …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 2, 2024 · pp. 14–23 Read article
-
A Review on Transforming Patient Pathways: The Impact of Pharmaceutical Software on Drug Manufacturing and Safety Monitoring
Abstract: The development, production, and safety monitoring of pharmaceuticals are being revolutionized by incorporating digital technologies. Throughout drug lifecycles, pharmaceutical software which includes cloud-based systems, automation, data analytics, and artificial intelligence (AI) has emerged behind efficiency and innovation. Real-time monitoring, predictive maintenance, and process optimization are made possible in manufacturing by software tools like Digital Twins, Manufacturing Execution Systems (MES), and Quality Management Systems (QMS). These technologies improve batch consistency, lower …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 40–46 Read article
-
The Role of Generative AI in Enhancing Administrative Efficiency: Innovations in Workforce Support Systems
Abstract: Generating AI is the primary form of artificial intelligence that disrupts administrative work across multiple industries by redesigning and promoting the automation of traditional tasks and improving the workforce efficiency of decision-making. In a conventional setting, executive positions have been equally associated with paper-bound responsibilities, common with tedious activities like appointment making, filing, data input, etc. However, improvement in the area of generative AI makes these natural functions assignable, thus …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 47–68 Read article
-
In Situ Investigation of Hemidesmus indicus Phytocompound Extracts as a Therapeutic Target for Acute Myeloid Leukemia
Abstract: Objective: Acute myeloid leukemia (AML) is an apoptotic condition in the hematopoietic system induced by the differentiation and maturation of stem cells into erythrocytes, and leukemic cell proliferation is suppressed as the PI3K-Akt-mTOR pathway is pharmacologically targeted with certain inhibitors. As a result, in silico molecular docking of compounds against AML receptors, CTMP, was used in computational research on Hemidesmus indicus to uncover therapeutic phytochemicals for AML. Thus, this study …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 38–53 Read article
-
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
-
Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
-
Smart Service Solutions AI: AI-driven Multimodal Search for Home Appliance Support
Abstract: The global home appliance services market is projected to reach USD 1,203.11 billion by 2032, driven by smart household appliances. Essential services like installations, maintenance, and repairs ensure optimal performance and longevity, leading to higher customer satisfaction and loyalty. The service station partner ecosystem is crucial for ongoing support and profitability. However, challenges such as identifying the right manuals, finding relevant parts, and providing accurate instructions must be addressed to …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 27–43 Read article
-
Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article