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298 articles for “multi-class classification”
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ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
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Deepfake Detection Using Resnext50
Abstract: Due to the recent advancements in Artificial Intelligence (AI), technologies it has led to the rapid development in the modification of audio, video, and image manipulation techniques. This AIgenerated media content is referred to as "Deep Fakes". AI-based tools can exploit and manipulate media in increasingly believable ways like super-imposing a person’s face on another person’s body or creating copies of a public person’s voice. A range of papers has …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 39–45 Read article
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Digital Transactions System
Abstract: In this paper, a cryptographic application is presented as Digital Transaction System (DTS). DTS requires the high level security protocol. There are various attacks considered successfully on DTS. The claim of the security of DTS holds the short time. Thus, it requires updating frequently. The single hardness of the problem is not enough but the compact problem is recommended to design such DTS. This work is based on the study …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 2, 2020 · pp. 18–24 Read article
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Factor Analysis of Crime Data
Abstract: Crime analysis is an act implementation function that includes organized investigation for increasing clarifications to crime problems, and articulating crime stoppage outlines. The main part of crime analysis process is the quantitative social science data analysis methods, though qualitative methods for instance inspecting police report tales also performance a character. This paper analyses US crime data by applying multivariate factor analysis techniques that was engaged to describe the association between …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 2, 2020 · pp. 20–32 Read article
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Land Use Land Cover Exploration and Change Revealing in Devghar District Part of Jharkhand using Multi-Temporal Satellite Data
Abstract: Land use and land cover is an important element in understanding the interaction of human activities with environment and thus it is necessary to assess changes. The study describes the changes in land use and land cover dynamics in Devghar district of Jharkhand over a period of 5 years (2005–06 to 2011–12) using IRS P-6, LISS-III, multi-temporal satellite images and GIS to monitor changes in the study area. Ground truth …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 6–17 Read article
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Fake News Detection System Using MultinomialNB and Django Framework
Abstract: The emergence of the World Wide Web and the rapid growth of online platforms have transformed the landscape of news dissemination. However, the rise of social media has also led to an overwhelming influx of potentially unreliable information, making it increasingly challenging to verify the truthfulness of articles. This verification process has become a daunting task, necessitating a thorough examination of various domain-specific aspects to ascertain the credibility of news …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article
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A Survey of Jellyfish Attack in Mobile Ad Hoc Network
Abstract: AbstractMANET is ad hoc network which has independent behavior with dynamic network topology and multi-hop network. There are many benefits and limitations of the mobile ad hoc network like autonomous behavior, dynamic topology, multi-hop routing and maximum flexibility. Jellyfish attack is a passive attack which is difficult to detect and prevent as they do not alter the data during the transmission. Jellyfish attack is further classified into three sub-categories Jellyfish …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 2, 2017 · pp. 17–24 Read article
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Review on Free Piston Linear Alternator
Abstract: This study presents the development methodology of the Free-Piston Linear Alternator/Generator (FPLG). The FPLG is a free-piston combustion engine with an integrated linear generator. The engine can be used as a range-extending device in an electric vehicle. Unlike conventional internal combustion engines, a free-piston linear engine has no a crankshaft, and thus the pistons move freely in the cylinder. This allows a free-piston linear engine to easily adjust the compression …
Published in Trends in Electrical Engineering · Vol. 8, Issue 3, 2018 · pp. 8–18 Read article
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Study on Genetic Diversity in Relation to Number of Clusters in Wheat (Triticum aestivum L.)
Abstract: The present investigation was conducted to examine the genetic diversity for several morphological traits in bread wheat (Triticum aestivum L.). The experiment was conducted at the Department of Genetics and Plant Breeding, Janta Vedic College, Baraut, Baghpat (UP), India. The experimental materials consisted of 50 cultivars of bread wheat grown in the randomized block design (RBD) with three replications. Multivariate analysis using D2 statistics [1] was used for assessing the …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 6, Issue 3, 2017 · pp. 18–23 Read article
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Advancements in Medicinal Approaches for Vitiligo Management: From Ancient Remedies to Modern Therapies
Abstract: Vitiligo, a skin disorder marked by patchy loss of color, poses substantial challenges to physical and mental well-being. Affecting about 1% of the global population with varying prevalence regionally, this condition demands a nuanced understanding for effective treatment. This article delves into vitiligo’s historical roots, tracing references from ancient medical literature to contemporary medicinal approaches. Exploration begins with the classification, symptoms, and diagnostic methods of vitiligo. Pathogenesis hypotheses, including autoimmune …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 14, Issue 3, 2023 · pp. 1–9 Read article
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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Revolutionizing Cancer Diagnosis: Unleashing the Tab Transformer's Power for Accurate Classification
Abstract: Gene expression platforms offer vast amounts of data that can be utilized for investigating diverse biological processes. However, the presence of redundant and irrelevant genes makes it challenging to identify crucial genes from high-dimensional biological data. To overcome this obstacle, researchers have introduced different feature selection (FS) methods. Developing more efficient and accurate feature selection techniques is essential for selecting important genes in complex biological information with multiple dimensions. In …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 24–38 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Feature Extraction and Classification for Using Mammographic Images
Abstract: AbstractOne of the greatest threats prevailing among women is the breast cancer. According to the National Cancer Institute, 22% of new cases occur every year and it is considered to be the second most frequent type of cancer, worldwide. Mammogram is very important imaging technique that used diagnosis in early stages of breast cancer. Mammography is in this case the best diagnostic technique for screening, the radiology tool which gives …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 10–18 Read article
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Discrete Cryptography
Abstract: The theory of Public Key Cryptography (PKC) was introduced by Diffie and Hellman [2]. There was the key agreement protocol based on the Discrete Logarithm Problem (DLP) in 1976. In 1985, ElGamal [1] applied the concept of [1] and presented the first real and practical PKC. The security of this PKC interacts with the hardness of DLP. The discrete cryptography is presented in this paper. Cryptography interacts with the hard …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 2, 2020 · pp. 1–3 Read article
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Scheduling Parameters and Scheduling Criteria for Thermal Aware Process Scheduler
Abstract: In recent years, as the technology escalated to meet consumer demands for computing, communication and entertainment, the issue of power consumption and heat generation has become a primary concern for the system designers. Today, it is the time to rethink and renovate the technology with the consideration of power consumption and heat generation. This study discusses the cause and adverse effects of heat generation and rise in temperature of processors. …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 1, 2019 · pp. 16–26 Read article
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Alzheimer Detection Using MRI Imaging Modality
Abstract: Alzheimer’s disease (AD) is a neurological disease that affects memory and livelihood of the people that are diagnosed with it. Many different imaging modalities have been used to help diagnose the disease. Each of these modalities offers something different towards the detection and possible treatments for AD. In this project, we developed a new approach based on mathematical and image processing techniques for better classification of AD. We proposed to …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 11–17 Read article
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Evaluation of Ensemble and Deep Learning Classifiers on CSE-CIC-IDS2018 Dataset for Intelligent NIDS
Abstract: Network Intrusion Detection System (NIDS) plays an active role in preventing cyberattacks by early detection of threats before it really starts affecting targeted information services. Over the years, many intrusion detection system (IDS) have been developed applying signature or rule-based approach to prevent unauthorised access of network or computer devices. However, ever growing landscape of cyberattacks in recent years has motivated present day researchers to design and develop more accurate …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 1–11 Read article