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459 articles for “Detection Algorithm”
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Mammographic CADe And CADx for Identifying Microcalcification Using Support Vector Machine
Abstract: The second most frequent cause of death and disease in women worldwide is breast cancer. Effective detection is a crucial element in the successful treatment of cancer. X-ray mammography is the majorityfrequent method for breast cancer. Screenings because of its convenience, portability, and cost-effectiveness. The CADe and CADx techniques were designed to assist radiologists in improving the detection and screening of breast cancer. The goal is for breast cancer to …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 2, 2020 · pp. 9–16 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
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Network Intrusion Detection System using Machine Learning and Deep Learning Approach
Abstract: Networks play a significant part in today’s world; fast internet and communication industries result in vast network size and data expansion. Furthermore, attackers aiming to launch various cyberattacks inside the system cannot be neglected. An IDS keeps track of the network’s software and hardware security to preserve its privacy, integrity, and accessibility. Despite the significant efforts of the researchers, current IDS continue to confront challenges in terms of accuracy rate, …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 7–34 Read article
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Design and Development of an Automated Robotic Algorithm for Blasting, Painting, and Barnacle Cleaning of Offshore Structures
Abstract: Marine surface maintenance tasks such as barnacle removal, abrasive blasting, and protective painting are traditionally carried out using manual methods that are labor-intensive, hazardous, and prone to variability in quality. These challenges are particularly significant for offshore structures, where harsh environmental conditions and restricted accessibility increase operational risks and maintenance costs. This paper presents the design and evaluation of an autonomous robotic system for automated surface preparation and coating of …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 1–12 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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Predicting diabetes status using ensemble algorithms with hyperparameter tuning
Abstract: Diabetes is a condition in which the body is unable to produce enough insulin to keep blood sugar levels under control. If diabetes is not properly identified and treated, it can lead to kidney failure, nerve damage, blindness, and coronary heart disease. A healthy lifestyle, therefore, depends on the early identification of diabetes diseases. However, it can be difficult to assess a person's diabetic status if they live in remote …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 1–9 Read article
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Hadoop Based Cloud Data Security on Cloud Using Encryption Algorithm
Abstract: Cloud-computing is the typical creative pattern of computing technique for people to apply the Information-Technology its related works along with the cheaper capabilities of computing. The services offered on the web are extending from applying the cloud provider’s hardware and software to controlling the security and other issues. Securing the data from the malignant customers, a process of client-authentication have becomes a significant task. Several securities and the privacy problems …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 40–48 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Comparative Analysis of Metamorphic Testing for Service-oriented Software Applications
Abstract: The result execution correctness is executed by software testing, using test oracles. Test oracle is one of the most common problems in case of software testing but if software testing is applicable, it is too much expensive. In this study, triangle classification problem is solved by metamorphic testing. Indeed, the objective of runtime examination is not tied in with computing the specific number of steps needed for discovering an answer. …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 2, 2021 · pp. 15–25 Read article
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Feature Extraction to Detect Diabetic Retinopathy and Glaucoma in Fundus Image
Abstract: Visual impairment due to various eye-related diseases can be largely prevented through regular fundus colour image screening. Large scale screening of the retinal image in the early stages is crucial to disease diagnosis. It is reported that the number of ophthalmologist ratios is very low. Hence, the computer-aided screening is required where the diagnosis of disease from an image is done from the main features of the fundus image. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 9–12 Read article
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A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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Arduino Empowered: Smart Glove Review and Analysis
Abstract: In recent years, there has been a growing interest in wearable technology, particularly in the realm of human-computer interaction (HCI). Smart gloves, equipped with various sensors and actuators, have emerged as a promising interface for facilitating seamless interaction between humans and digital devices. This paper presents the development of Arduino-based smart gloves designed to augment conventional HCI methods by incorporating gesture recognition and tactile feedback capabilities. The smart gloves feature …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 1, 2024 Read article
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AI-Powered ECG Prediction System for Detecting Cardiovascular Disease
Abstract: The proposed AI-powered CardioSmart Analyzer, an electrocardiogram (ECG) prediction system, presents an innovative and scientifically rigorous approach to the real-time automated analysis of ECG signals for diagnosing various heart conditions. This research focused on building a predictive model to identify cardiovascular diseases (CVD) using ECG data. A dataset comprising 2,840 12-lead ECG recordings was gathered from medical facilities in Gazipur, Bangladesh, over the period from June to August 2024. The …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 51–85 Read article
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The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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Flying Faces: An Automated Recognition System using Raspberry Pi and Drone
Abstract: Facial recognition technology has gained populari- ty in recent years and is used in various applications, such as security and surveillance. However, traditional facial recogni- tion systems are limited in their ability to capture images from different angles and perspectives. In this paper, facial recogni- tion system is presented that utilizes drone technology to cap- ture images from multiple angles for better accuracy. The sys- tem consists of a Raspberry …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Effectiveness of structured teaching programme on knowledge regarding ECG and its basic interpretation among second semester BSc Nursing students in selected nursing college at Pathanamthitta district
Abstract: Cardiovascular diseases have now become the leading cause of mortality in India. Cardiovascular disease accounts for twenty five percent of all mortality. Electrocardiogram has an important role in the early detection and treatment of various cardiovascular diseases. Over the year significant advancements have been made in the field of ECG research, leading to the development of new techniques, technologies and algorithms for ECG analysis. ECG allows nurse to diagnose and …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 09–20 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article
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Automation to Computation for Wireless Networks—GSM
Abstract: AbstractZigBee technology has aimed to exchange data wirelessly at a short distance using radio wave transmission comprising features to create ease, perception and controllability. Compact robot system forms have impetus over police investigate up to explore of explosives. Home appliance control and monitor have been additive after embedded explore formative within cell phones. Railway level crossings manned or unmanned have rectification opportune same as signal purviews through ZigBee coded sensing …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 1, 2020 · pp. 1–7 Read article