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623 articles for “identification key”
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Security System for School Children using Arduino
Abstract: Abstract: This paper presents a system to monitor the transport facility of school children. In the present time due to the increase in cases of kidnapping and road accidents, there is always a concern for the parents regarding the travel safety of the school children. This system is proposed to improve safety measures and prevents such cases. This system is used to enhance monitor pick up/ drop off of school …
Published in Journal of Microcontroller Engineering and Applications · Vol. 6, Issue 1, 2019 · pp. 12–16 Read article
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Implementation of K-Means clustering algorithm with technical indicators to identify Profitable stocks
Abstract: In the ever-changing world of stock market trading, accurately predicting price movements is key to maximizing profits. Technical analysis, which looks at past price data to predict future trends, provides valuable insights for investors. This paper delves into using machine learning methods, particularly the K-Means clustering algorithm, along with moving average data, to categorize daily trading patterns. By breaking down the market into clusters and examining the main patterns within …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 8–14 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Assessment of Polycystic Ovarian Syndrome with Emphasis on Imaging Modalities
Abstract: Polycystic Ovarian Syndrome (PCOS) is a higly prevalent hormonal disorder that affects women during their reproductive age. It is linked to a wide range of health concerns ,including disturbances in reproductive functions, metabolic abnormalities and an increased risk of cardiovascular diseases. Ultrasonography plays a crucial role in identifying polycystic ovarian morphology, which constitutes one of the key diagnostic criteria under the Rotterdam consensus. This prospective cross-sectional observational study was conducted …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 48–54 Read article
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MicroRNAs in Animal Behavior: Regulation of Memory and Decision-Making in Mammals
Abstract: MicroRNAs are small, non-coding RNA molecules that play a crucial role in post-transcriptional regulation of gene expression. In recent years, their significance has extended beyond cellular development and disease regulation, as emerging evidence suggests they are critical mediators in complex behavioral processes, including learning, memory, and decision-making. This article explores the role of miRNAs in regulating neural plasticity and cognitive functions in mammals, emphasizing their involvement in memory formation and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 21–25 Read article
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Facial Expression Recognition Using Convolutional Neural Network
Abstract: The recognition of facial expression is a key step in nonverbal human communication in the field of computer vision. The Facial Expression Recognition (FER) system reflects emotions as well as mental activities, social interaction with people and expressing positive or negative attitude in general. It has many applications like human machine interaction, understanding human behavior and emotions, mental state identification, drowsiness detection for driving safety and health care. One of …
Published in Journal of Open Source Developments · Vol. 6, Issue 1, 2019 · pp. 18–27 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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Facial Biometrics Driven Attendance Automation Solution Using LBPH Algorithm
Abstract: In today's educational landscape, managing attendance remains a central administrative task, often conducted manually on paper, consuming valuable time for educators. This project proposes a solution utilizing facial recognition technology to streamline the attendance process, thereby saving time and maintaining accurate student records. The objective is to develop an automated attendance system that is minimally intrusive, cost-effective, and highly efficient, leveraging computer vision techniques and algorithms like local binary patterns …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 27–35 Read article
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A comprehensive review on Sustainable Pathways to Synthesize 2, 5-Furandicarboxylic Acid (FDCA) from 5-Hydroxymethylfurfural (HMF) via Oxidative Processes
Abstract: The increasing global concern over the environmental impact of traditional plastics derived from petroleum and natural gas has spurred a search for more sustainable alternatives. Bioplastics, which are derived from renewable sources and may be biodegradable, have garnered significant interest as eco-friendly materials. Among the promising building blocks for bioplastics, 2,5-Furandicarboxylic Acid (FDCA) has emerged due to its potential to enhance polymer properties. One key precursor for bioplastics, 5-Hydroxymethylfurfural (5-HMF), …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 2, 2024 · pp. 01–13 Read article
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Sustainable Rural Development through Geospatial Technology – A Case of Keonjhar District of Odisha
Abstract: The 2030 Agenda for Sustainable Development emphasizes that sustainability encompasses three dimensions: economic, social, and environmental. Monitoring society's impact on natural resources involves identifying activities that affect ecosystem processes. Geospatial technology plays a key role in detecting community-level development projects and evaluating sustainable development outcomes at the district level. The main objective of the study is to show the impact of implementation of SDGs on the development of community livelihood …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 30–46 Read article
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Prevalence of Home Accidents among Children: An Evidence Based Review
Abstract: Background: Home accidents and injuries among children are the leading cause of childhood morbidity and mortality in the world. This evidence-based review aimed to explore the prevalence and of different causes of childhood accidents. Methods: PubMed/Medline and Google Scholar data bases were searched by the authors to identify studies published from 2012 to 2020 covering children using key search terms such as home accidents among children, prevalence of home accidents …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 3, 2021 · pp. 1–6 Read article
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Use of Liquefiable Materials for Vibration Isolation
Abstract: Abstract Trench barrier isolation is very popular but less adopted technique for the isolation of buildings and important structures. Here the structures are to be protected against the energetic surface waves, which are confined up to 3–4.5 m depth below the surface. Several types of trenches with different in-fill materials have been tried with some degree of success. The difficulty comes from the nature of the waves, which are a …
Published in Journal of Geotechnical Engineering · Vol. 3, Issue 3, 2016 · pp. 33–36 Read article
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Agile Modeling and Building an Inclusive Online Coding Platform for Programming
Abstract: The integration of agile modeling principles within professional programming emphasizes the development of online coding platforms tailored to meet the diverse needs of computer science and engineering students. This study introduces an agile-based, API-integrated J2EE online coding platform, designed to create a sophisticated and user-friendly environment for seamless programming practice, particularly focusing on Java programming. The platform offers real-time tracking of programming progress and enhances the understanding of complex coding …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 33–42 Read article
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Blockchain-Based Smart Agri-Food Supply Chain Management System with User-Centric Design for Enhanced Consumer Trust
Abstract: Existing blockchain-based solutions for agri-food supply chains primarily focus on internal traceability and efficiency while neglecting consumer-facing functionalities. Building consumer trust requires not only a secure and transparent supply chain but also user-friendly interfaces for easy access to product information and journey tracking. This study addresses this gap by implementing a blockchain-based agri-food supply chain system with a user-centric design. Beyond internal transparency, the system features an intuitive consumer interface …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 · pp. 01–12 Read article
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DNA Hybridization Biosensor using Silicon Nanowire PIC Waveguide
Abstract: Abstract: In this paper, silicon nanowire based optical waveguide is investigated to discover its application as a bio-detecting reason. In silicon nanowire based optical waveguide, silicon bars are vertically adjusted in 2-dimensional exhibit design over SiO2 substrate. These silicon bars are of couple of nanometer sizes and called as nanowire. Low Refractive Index (RI) gapping in these silicon wires holds the optical power. Quasi-TE mode is supported by these vertical …
Published in Recent Trends in Sensor Research & Technology · Vol. 6, Issue 1, 2019 · pp. 7–12 Read article
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GIS Based Fire Incident Emergency Response: A Case Study of Kano Urban Markets, Kano State, Nigeria
Abstract: Fire, a terrific type of disaster, can destroy properties and lives which in turn brings about physical, social, structural, economic and welfare disturbances in a community. Market fire is not an exception of such destruction. The aim of this research is to assess the markets’ fire emergency response with a view to optimize the use of road network for quick response to the incident in the study area. This study …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 2, 2017 · pp. 15–24 Read article
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A Study of Cancer Cell through Sequencing Model
Abstract: The condition to cure of cancer is presented in this paper. Curable, incurable, and destroyable conditions are formulated by the sequencing theory. The role of real number is generalized on the proposed method. The sequencing theory is applied on the cancer cell. The proposed model presents the computational overview of the cancer cell in context to measure and cure. There is set of conditions carried the time and cell sequence. …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 3, 2021 · pp. 52–54 Read article
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Power Market Management and Grid Controls Platforms with Integrating Third Party Owned DER
Abstract: In the deregulated electricity market, many Individual Powers Produces (IPP)/Distributed Energy Resources (DER) compete to sell the power. Grid and power flow controlling is a challenging task. In deregulated scenario many market model, according to that the power-flow control has to be done looking at the Available Transfer Capacity (ATC) in the lines. FACTS controllers are well suited to control the active power by injecting/absorbing the reactive power from the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 3, 2020 · pp. 24–30 Read article