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88 articles for “background modeling”
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An Analysis of Multimodal Fusion in Deepfake Detection for Video Samples
Abstract: In today’s rapidly evolving digital landscape, deepfake technology stands as both a marvel and a threat to privacy and security. Deepfakes, hyper-realistic synthetic media created using artificial intelligence (AI), can deceive and manipulate on an unprecedented scale, from political propaganda to compromising videos of public figures. This research navigates deepfake detection, focusing on two advanced methodologies: the vision transformers (ViT) image classifier and the Meso4 method. The ViT model utilizes …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 19–27 Read article
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Model Implementation & analysis in Face Recognition and Attendance System
Abstract: Face detection involves separating image windows into two; one containing faces (turning the background (clutter). It is difficult because although commonalities exist between faces, they can vary considerably in terms of age, skin color and facial expression. The problem is further complicated by differing lighting conditions, image qualities and geometries, as well as the possibility of partial occlusion and disguise. An ideal face detector would therefore be able to detect …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 2, 2020 Read article
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Assessment of Loneliness and Depression Status of Tuberculosis Patients Who Applied to Sakarya Tuberculosis Control Dispensary
Abstract: Background: This study was planned by using a descriptive and cross-sectional research model in order to examine the loneliness and depression status of tuberculosis patients who applied to Sakarya Tuberculosis Control Dispensary. Materials and Methods: The study was carried out with 100 tuberculosis patients who applied to Sakarya Tuberculosis Control Dispensary between September 2016 and February 2017, after obtaining institutional permission and ethics committee approval. Analysis of data collected using …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 1, 2020 · pp. 1–7 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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Fabrication of 3D Printer
Abstract: This article gives us a insight about 3D printer technology considering its concepts, history and technology of a 3D printer. The major points covered in this article are Introduction of 3D printer, background, problem statement and scope of 3D printer. The printing process involves creating of a 3-dimensional model, converting it into. STL file, slicing it, feeding the stl file to the 3D printer and the final printing process done …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 2, 2020 · pp. 10–13 Read article
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Cascade of Gait Recognition with Surveillance System in a Client-Server Environment
Abstract: ABSTRACTThis paper presents a system consisting of the application of gait recognition, a physiological biometric applied in a client-server environment. Now-a-days security plays a very important role in almost all fields and most of the public places like banks, airports, railway stations, etc., which require more security as the thieves and criminals are very intelligent whose objective is to create problems for human life and many untoward incidents. The gait …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 26–36 Read article
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Multi-Layer Perceptron Neural Network Based Person Identification Using Appearance Based Facial Feature
Abstract: This paper deals with secure person identification system using Back-Propagation learning neural network algorithm where appearance based facial feature and Principal Component Analysis based dimensionality reduction technique have been used. To extract the appearance based facial features, Viola-Jones method has used as a face detector, Stam’s method of Active Shape Model has applied for detecting the facial edges and image pre-processing method has used for eliminating the background noises. For …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 26–34 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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Marine Algal Secondary Metabolites Promising Anti-Angiogenesis Factor against Retinal Neovascularization in CAM Model
Abstract: Retinal angiogenesis is an angle of new blood vessels on retinal surface. This neovascularization condition within the eye contributes to visual loss. Commonest cause of this condition includes diabetes, retinopathy of prematurity, retinal vein occlusion, etc. A variety of endothelial cell growth factors have been identified as a responsible factor and previous studies report that marine metabolites are promising molecules against retinal angiogenesis. Based on the background information collected, the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 1, 2018 · pp. 19–25 Read article
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Elevare – AI Career Suggestion Portal- Helping Students by Binding the Solutions at One Place
Abstract: The selection of suitable career has become very difficult and it's complexity is being increased day by day, due to advancement in technology and number of professional fields. conventional approaches of suitable of occupation focus on aptitude tests that in fact do not consider the variability in skills. This paper introduces a new AI-powered career suggestion portal called Elevare, which attempted to help students choose a career occupation based on …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 Read article
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Optimizing Heat Dissipation: Analysis of Air Cooled Fins for Electronic Equipments
Abstract: This paper focuses on the thermal management of electronic components in modern technologies like RADAR electronics, UAV and Drone technologies,Automotive Electronic Components etc. The main objective of this research is to design and develop an efficient heat dissipation system, using fins, for an electronic component with dimensions of 80 x 300 mm, dissipating 30W heat. The process starts by calculating essential parameters for fin design, followed by modeling the fins …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 26–50 Read article
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Machine-Learning-Assisted Development of Polymer-Biochar Composite Adsorbents for the Removal of Heavy Metals from Gomti River Water
Abstract: Rapid urbanization, industrial discharge, and agricultural runoff pose a significant threat to freshwater sustainability and public health. Within these ecosystems, polymer pollutants—such as microplastics, nanoplastics, synthetic fibres, and additive residues—have emerged as persistent vectors capable of adsorbing and transporting toxic heavy metals. Because these polymeric contaminants dynamically interact with conventional aquatic parameters to alter pollutant mobility and ecological risk profiles, there is an urgent need to transition from passive environmental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 72–95 Read article
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Multivariate Analysis of The Determinants of Undernutrition in Under-Five Children In Zimbabwe
Abstract: Background: Undernutrition is one of the leading causes of infant mortality in developing countries including Zimbabwe. The main objective for the study was to model the relationship between undernutrition and individual, household and community level determinants. Material and methods: Secondary data analysis of the 2019 Multiple Indicator Cluster Survey (MICS) was performed using the merged children and household datasets. A total of 6223 children’s data was used for the study. …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 3, 2022 · pp. 9–19 Read article
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Extended Fixed Point Theorems in Menger PM-Type Spaces: Generalized Auxiliary Functions and Contractivity Conditions
Abstract: Background: Fixed point theory in probabilistic metric spaces, particularly Menger spaces, has been a subject of intensive research due to its applications in nonlinear analysis and mathematical modeling. Traditional approaches often impose restrictive constraints on the defining properties of Menger spaces and limit the class of auxiliary functions in contractivity conditions Methods: We extend recent fixed point theorems in Menger spaces by: (1) introducing the notion of Menger PM-type spaces …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
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Assessing Nanomaterial Toxicity and Environmental Behavior: Toward Sustainable and Safe Nanotechnology
Abstract: The rapid advancement of nanotechnology has introduced engineered nanomaterials into diverse sectors including medicine, agriculture, electronics, and consumer products. However, the unique physicochemical properties that make nanomaterials valuable also raise significant concerns about their potential toxicity to human health and ecological systems. This study presents a comprehensive survey-based analysis of 400 respondents from diverse professional backgrounds across seven countries to assess perceptions and understanding of nanomaterial toxicity mechanisms and environmental …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 1–11 Read article
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Providing Captions to the Detected Images: Deep Neural Networks and LSTM
Abstract: Automatically generating captions for images seems to be very interesting but at the same time the task is quite challenging as training a machine with proper comprehension of the image, it’s background, detecting the objects present in it and finally generating the captions is only the frontline projection; The difficult part happens behind the scenes: selecting the dataset, training the model, validating the model, developing pre-trained models to test the …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 3, 2021 Read article
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In-silico Approach of Few Selected Phytoconstituents on Newer Cancer Targets
Abstract: Background: Cancer’s high death rates are mainly due to, drug resistance and unmet medical demands. It necessitates novel anticancer medications. AI tools aid in efficient and faster drug discovery by analyzing data, modeling processes and optimizing pipeline stages. Aim: The aim of this present study is to evaluate phytoconstituents against novel and newer cancer targets. Methodology: The ligands Daidzein, Resveratrol and Genistein were targeted against the Glutamate dehydrogenase (PDB ID …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 12–17 Read article
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Data Security in IoT
Abstract: Privacy and security are among the major Internet of Things (IoT) challenges. Improper device upgrades, lack of effective and robust security agreements, user ignorance, and popularity active device monitoring is among the challenges IoT faces. In this work, we explore the background of IoT applications and security measures, and identifying alternative security as well privacy issues, methods used to protect location components and IoT-based programs, existing security solutions, and the …
Published in Journal of Multimedia Technology & Recent Advancements Read article
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Data Security in IOT
Abstract: Privacy and security are among the major Internet of Things (IoT) challenges. Improper device upgrades, lack of effective and robust security agreements, user ignorance, and popularity active device monitoring is among the challenges IoT faces. In this work, we explore the background of IoT applications and security measures, and identifying alternative security as well privacy issues, methods used to protect location components and IoT-based programs, existing security solutions, and the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 3, 2021 · pp. 25–29 Read article
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Association between Diabetes Type and Family History of Diabetes: A Cross-Sectional Analysis of Gender Differences and Genetic Influences
Abstract: Introduction: Diabetes mellitus DM is one of the fast-growing chronic metabolic disorder in the world, with high impact and burden in low- and middle-income country. Although genetic predisposition is a central determinant of diabetes risk, particularly for Type 2 diabetes (T2D), the contribution of familial aggregation varies across populations. In many parts of the world where diabetes is rising very fast understanding the relationship between diabetes type and family history …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 43–50 Read article