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246 articles for “Edge computing”
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Comparative Study of Facial Spoofing Detection using CNN Architecture
Abstract: Facial recognition systems face a high risk of security breach due to various facial spoofing attacks. This challenge was addressed by the study of several deep learning models. This study proposes an idea to detect facial spoofing using deep learning architecture to differentiate live faces form various types of spoofed images/videos using different CNN models. In addition, the study seeks to strengthen security measured in facial recognition system demonstrating that …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 9–17 Read article
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Amalgamation of Medical Image using Wavelet Theory
Abstract: Image fusion has become a common term used within medical diagnostics and treatment. The term is used when multiple patient images are registered and overlaid or merged to provide additional information. Fused images may be created from multiple images from the same imaging modality, or by combining information from multiple modalities, such as magnetic resonance image (MRI), computed tomography (CT) etc. In radiology and radiation these images serve different purposes. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 1, 2015 · pp. 9–14 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 10–14 Read article
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Performance Enhancement of Laser based Modern Railway Mobile Platform Crossing System
Abstract: AbstractIn this work, the modern railway mobile platform crossing system is improved through the proper computation of GaInP based 635 nm multiple quantum well red laser maintaining the perfect peak intensity of the power which is achieved at 635 nm. By analyzing the performance of the designed Ga0.5In0.5P/ (Al0.5Ga0.5)0.5In0.5P edge emitting laser the peak material gain is obtained. Sustaining threshold current of 6.7 mA, a maximum resonance frequency of 10 …
Published in Trends in Opto-electro & Optical Communication · Vol. 4, Issue 1, 2014 · pp. 23–28 Read article
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THE EVOLVING ROLE OF ARTIFICIAL INTELLIGENCE (AI) IN THE DISCOVERY OF CANCER DRUG THERAPY
Abstract: The term "cancer" refers to a broad range of diseases that develop in any organ or tissue of the body when malignant cells multiply out of control, cross their usual boundaries to infect surrounding body regions, and spread to other organs, primarily problems that arise in breast cancer and lung cancer. The world recognizes Artificial Intelligence (AI) as a cutting-edge technology. Today, several institutes, organizations, and individuals are aiming to …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 10, Issue 1, 2023 · pp. 74–87 Read article
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Modernization of Prepaid Electricity System Based on Smart Card
Abstract: Overview the past four years, smart cards have achieved a growing acceptance as a powerful tool through key security, identification,and authorization. Financial card issuers are moving to replace magnetic stripe cards & plastic cardwith chip cards to reduce counterfeiting and fraud. The advent of multi-application &software, programming smart card operating systems for both and contact less applications has put smart cards on the edge of information technology. This paper benefits …
Published in Journal of Instrumentation Technology & Innovations · Vol. 11, Issue 1, 2021 · pp. 15–18 Read article
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Animal Detection in Farms Using Opencv
Abstract: Agriculture plays a fundamental role in sustaining the Indian economy, providing employment and livelihood to a large portion of the population. Despite advancements in farming techniques, one of the persistent challenges faced by farmers is the intrusion of wild animals into agricultural fields. Such intrusions often lead to large-scale crop damage, financial loss, and emotional distress for farmers. Traditional animal deterrent methods, such as manual patrolling, fences, or scarecrows, have …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 Read article
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An Augmented Reality-based Application
Abstract: Abstract: This paper is the art of applying 3D design and to implement the computer-generated 3D environment to our real- world environment using the latest augmented reality (AR) technology for entertainment or for educational or experimental purposes. Through this project we want to design and build an application and a game which helps to augment the computer-simulated environment into our real-world and which is a very latest and fastest growing …
Published in Current Trends in Information Technology · Vol. 9, Issue 3, 2019 · pp. 14–39 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database
Abstract: The Facial Recognition Attendance System now a days revolutionizes traditional attendance tracking by seamlessly integrating cutting-edge image processing with the capabilities of Firebase Realtime Database. This user-friendly solution simplifies and transforms the attendance management experience. Imagine an intuitive interface utilizing facial recognition technology to effortlessly track attendance. Leveraging advanced face detection algorithms and the enchantment of computer vision, our system ensures accurate face recognition, making each individual unmistakably identifiable. Beyond …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Blockchain Technology: Systematic Review of Security and Privacy Problems and Its Scope with Internet of Things (IoT)
Abstract: Blockchain (BC) is a mutual, circulated record that encourages the process of chronicle exchanges and following resources in a business arrange. It empowers parties who do not completely confide in one another to keep up a lot of worldwide states. The gatherings concur on the presence, qualities, and accounts of the states. It is a framework including transactions, immutable records, decentralized companions, encryption forms, consensus systems, and optional smart contracts. …
Published in Journal Of Network security · Vol. 7, Issue 1, 2019 · pp. 24–28 Read article
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Design and Analysis of Advanced Body Armour
Abstract: Study on wounding patterns reveals that injury of upper and lower extremities due to ballistic projectiles accounted for -70% of all injuries which occur on the battlefield. This is due to the fact that currently employed body armours are rigid in nature, making it difficult for bending without affecting performance. An extensive review of the development and evaluation of cutting-edge body armor systems is provided in this paper. It examines …
Published in Trends in Machine design · Vol. 10, Issue 2, 2023 · pp. 42–47 Read article
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Parallelization of Metaheuristics for the Optimization of Travelling Salesman Problem
Abstract: Travelling salesman problem is a combinatorial NP-Hard Problem. It has vast number of applications in many other fields like engineering, transportation and logistics. In the area of combinatorial Optimization Problems, it is one of the most studied problem. This Problem is acting as benchmark for many other NP-Hard Problems. Even for 20 cities CPU’s takes 100’s of years to get the optimal solution. So, for computing NP-Hard problems we require …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 2, 2021 · pp. 20–26 Read article
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Evolving Perspectives: Innovations in Object Detection and Identification
Abstract: One of the most important developments in computer vision has been the creation of object detection and identification systems, which have allowed robots to perceive and understand visual data similarly to humans. These systems locate each object by drawing a bounding box around it, in addition to detecting and classifying every object in an image or video. This study suggests a novel method for item identification and detection that makes …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 3, 2023 · pp. 23–27 Read article
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Crystal Engineering Strategies for Tailoring Mechanical Properties of Structural Materials
Abstract: Crystal engineering has emerged as a promising approach for designing materials with tailored mechanical properties, enabling advancements in various fields such as aerospace, automotive, and construction. This review examines the diverse strategies employed in crystal engineering to manipulate the mechanical behavior of structural materials. One key strategy involves controlling the crystal structure at the atomic level through techniques such as alloying, doping, and phase transformations. Alloying introduces foreign atoms into …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 01–06 Read article
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A Python-Based Investigation of Clinical Data and Ultrasound Images for PCOS Diagnosis
Abstract: PCOS is a common endocrine disorder that impacts women in their reproductive years characterized by irregular menstrual cycles, hyperandrogenism, and polycystic ovaries. The full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Review of Advanced Drug Delivery System: Nanotechnology
Abstract: Nanotechnology is the science and technology conducted at nanoscale, i.e., 1–100 nm. It is the manipulation of matter with at least one dimension ranging from 1–100 nm.In this study, we discussed the importance of nanoparticles/nanotechnology for drug delivery, their characteristics, applications and future of nanotechnology. Nanoparticles are very small fascinating little objects. It deals with physics quantum mechanics (theory in physics which describes nature at smallest scale of energy levels). …
Published in Trends in Drug Delivery · Vol. 5, Issue 2, 2018 · pp. 23–26 Read article
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Automated Vehicle Entry Monitoring System Using YOLOv5
Abstract: This project showcases an innovative You Only Look Once (YOLO) object detection model-based Automated Vehicle Entry Monitoring System for community gates. By using YOLO, the system transforms conventional access control paradigms by accurately and in real-time detecting vehicles that are seeking to gain entry. Unlike traditional approaches, the project leverages YOLO's effectiveness in vehicle recognition, classification and Number Plate Detection to improve residential security. By providing communities with a cutting-edge …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 34–38 Read article
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Exhaustive Search Meets DNA Sequencing: A Comprehensive Review of TSP-Based Approaches
Abstract: Exhaustive search is a highly computational complex algorithm that checks every possibility to obtain the best solution. We illustrate an exhaustive search by applying it to three important problems: the traveling salesman problem, the knapsack problem, and the assignment problem. In this paper, we took a traveling salesman problem to explain DNA Sequencing. Since traveling salesman problem is an algorithmic problem that finds the shortest route between a set of …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article