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297 articles for “Visual effects”
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Learning Styles among Dental Undergraduates and Postgraduates—VARK Scale Study
Abstract: Learning of clinical science is challenging task for dental student. It requires practice, integration and application of knowledge, skill and attitude to learn in dental school and hospital. Students’ awareness about their own learning style and their ability to choose the most appropriate strategies for themselves are two important concepts. Aim: To assess the learning styles among dental undergraduates and postgraduates. Methodology: Self-response VARK questionnaire was administered to the students …
Published in Research and Reviews: A Journal of Dentistry · Vol. 9, Issue 2, 2018 · pp. 1–8 Read article
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Edge Computing in IoT: Challenges and Opportunities for Engineers
Abstract: The internet of things (IoT) has revolutionized how we interact with our environment, collect data, and make decisions. However, the exponential growth of IoT devices has led to significant challenges in data processing, latency, and bandwidth usage. Edge computing provides an effective solution to these issues by bringing computation and data storage nearer to the source of data generation. This paper provides a comprehensive exploration of the challenges and opportunities …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
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Role of Diagnostic Laparoscopy in Chronic Abdominal Pain and Its Therapeutic Value
Abstract: The aim of this study was to evaluate and establish the role of diagnostic laparoscopy in unexplained chronic abdominal pain and its therapeutic value. Diagnostic laparoscopy apart from visualizing the entire abdominal cavity, allows us to take precise biopsy. Laparoscopy also offers therapeutic solutions for multiple reasons of abdominal pain. The study covered 110 patients with history suggestive of chronic abdominal pain for 3 months or more duration, undiagnosed despite …
Published in Research and Reviews : Journal of Surgery · Vol. 7, Issue 3, 2018 · pp. 16–20 Read article
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A Comprehensive Survey on Detection of Video Transitions
Abstract: Video shot boundary detection (SBD) is a fundamental task in the field of video processing and analysis. It plays a critical role in various video applications such as content-based video retrieval, video indexing, editing, summarization, and browsing. Identifying shot boundaries helps segment a continuous video stream into distinct shots, each representing a meaningful visual unit. This segmentation is essential for organizing and interpreting video data efficiently. This study provides an …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 17–26 Read article
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Face Mask Detection in Real Time using OpenCV and Python
Abstract: COVID-19 has brought the entire world to a halt. Doctors, healthcare workers, and many other services were fighting this pandemic on the front lines. Wearing a face mask in public places is more effective, according to the World Health Organization (WHO). According to the reports, wearing the masks while working clearly shows that it reduces the risk of transmission. We will be using the dataset to build a face mask …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 23–29 Read article
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Carbon Nanotubes and Fullerene: Basic Properties and Applications in Space Probe Studies
Abstract: Carbon nanotubes and fullerene has been visualized as an active research area in nanotechnology era. The possibility of harnessing these nanomaterials from natural resources and growing by artificial means attracts the attentions of most crystallographers, engineers, physicists, chemists and biomedical scientist. The tight binding approximations and density functional theory result shows the energy band gaps, and elastic properties of nanomaterials. Thus, in order describe the space model, the calculations are …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 24, Issue 3, 2022 · pp. 1–14 Read article
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Network Pharmacological Studies in Biological Interactions of Thymoquinone
Abstract: Thymoquinone, a bioactive phytochemical compound belonging to the class of benzoquinones, is prominently present in the plant Nigella sativa. Despite its widespread use, the precise molecular mechanisms underlying its beneficial effects remain elusive. To address this gap, we employed network pharmacology to investigate the actions of Thymoquinone (TQ). Our methodology encompassed the utilization of diverse bioinformatic tools to scrutinize this molecule of interest comprehensively. Initially, we retrieved the chemical structure, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 12, Issue 3, 2023 · pp. 18–25 Read article
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Epilert: Epilepsy Tracker and Detector
Abstract: Epilepsy, affecting over 50 million individuals worldwide, necessitates innovative solutions for effective monitoring and intervention. Current systems face challenges such as inaccuracy, limited accessibility, and discomfort, leaving patients and caregivers vulnerable. Epilert, a wearable device, addresses these gaps by employing advanced sensors and machine-learning algorithms for real-time epilepsy detection and monitoring. The device integrates electromyography (EMG) and motion sensors to capture and analyze physiological and movement data. Preprocessing techniques ensure …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article
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Autonomous Infection Control System
Abstract: Escalating problems arise mainly at hospitals due to transmission of microbes through air, which causes life threatening situations. Doctors, nurses and other members are more vulnerable to diseases from within the place. PPE kits and other disinfecting procedures require an in-human presence to do the work, which makes it more challenging and puts the person's life at risk. In current scenarios, human presence is required for sanitising and cleaning procedures, …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 12–18 Read article
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Exploring the Potential of Allium sativum Phytocompounds as B-Cell Leukemia 2 Inhibitors in Acute Lymphoblastic Leukemia: Molecular Docking Study
Abstract: Objective: Acute lymphoblastic leukemia (ALL) is a lymphoid progenitor cell malignancy that could be treated with plant-based drugs, thus alleviating the off-target effects caused by conventional chemotherapy. Since ancient days, Allium sativum has been an integral part of traditional medicine and an excellent antimicrobial, antioxidant, and antiproliferative agent. Hence, this study aims to assess the anti-leukemic potential of A. sativum phytoconstituents as the B-cell leukemia 2 protein (Bcl-2) natural inhibitor …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 53–80 Read article
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article
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Seat-belt Detection Using Image Processing in MATLAB
Abstract: In this study, a method is suggested to detect seat belts in a monitoring image of a moving vehicle. The method relies on several image processing techniques such as edge detection, closing operation, and Hough transform, to precisely identify the seat belts. The proposed method for detecting seat belts is more dependable and sturdier compared to the methods that previously depended on driver's visual monitoring or basic belt detection systems. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 31–36 Read article
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Towards Finding the Impact of Kinetic Information on Short Term Memory based Task
Abstract: The main objective of this report is to discover whether haptic data have an effect on the retention of a directive to choose a place scattered on a 2D plane. The necessity for a feasible workshop for the cell manufacturing line in plant assembly led to the idea. We created an organized viscuo-haptic training model that covered a grown-up arm’s workstation and used three different Ways to change the extent …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
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Impact of Virtual Reality Training in Rehabilitation of Stroke Patients: A Cross Sectional Review
Abstract: Introduction: Those who receive virtual reality training, they train through digital environment. The new modern technology starts from simple computer to virtually designed audio visual aids. This virtual therapy is the system were patient is exposed to harmless objects and equipment’s which boost their confidence level for better performance. There are so many diseases which are treated under virtual therapy, which includes stroke to achieve muscle power with better control …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 1, 2018 · pp. 16–20 Read article
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Integrated Production Modeling an Asset for Designing a Development Program of a Field: A Case Study
Abstract: Current challenging scenario of environment and technologies causing Oil/Gas industry to focus on designing the development program of a field that is only possible with the help of Integrated Production modeling accurately. Managing the reservoirs through correct modeling can lead to best destinations. IPM provides key understanding of field from reservoir to separator conditions. It can provide best communication between wellbore and surface facilities Hence it can provide best economical …
Published in Journal of Offshore Structure and Technology · Vol. 1, Issue 1, 2014 · pp. 12–24 Read article
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Crack Detection and Classification Methods in Different Eras
Abstract: AbstractDetection of cracks is an essential parameter in structure life and will provide preventing structural failure. Sometimes, in large structure it is become difficult to find cracks by a visual check. The roof is one of the building elements which is subjected to maximum temperature differences like cold weathering, hot weathering etc. Therefore, roof is subjected to expansion and contraction during day and night or from season to season and …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 26–29 Read article
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Prevalence of Adverse Drug Reactions and Risk Factors Associated with first Line Anti- Tuberculosis Drugs
Abstract: Background: The recommended first line treatment of active tuberculosis (TB) consists of rifampicin (R), isoniazid (H), ethambutol (E) and pyrazinamide (Z). The regimen is highly effective in treating active TB however it is associated with various adverse drug reactions (ADRs) posing undeniable challenges to therapy success. Objectives: To determine the prevalence of ADRs and risk factors associated with first-line anti-tuberculosis medications. Methods: A quantitative cross-sectional descriptive study conducted at the …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 12, Issue 2, 2022 · pp. 9–16 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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Plc Hmi base testing machine data loger with usb excel data export
Abstract: The PLC-HMI-based testing machine data logger is designed to acquire, process, and log real-time sensor data using a PLC analog input card. This system is developed for industrial applications requiring accurate measurement, monitoring, and data storage. The setup integrates an HMI (Human-Machine Interface) for visualization and control, while a USB-based Excel data export feature ensures efficient data management. The system incorporates four key transducers: 1. Water Flow Sensor – Measures …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 47–54 Read article
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Automation of Waste Segregation System by Using IoT
Abstract: The rapid urbanization and the increasing volume of waste generation have made waste management a critical issue globally. Efficient waste segregation at the source is one of the most effective ways to reduce the adverse environmental impact of waste disposal. In this study, we propose an automated waste segregation system based on Internet of Things (IoT) technology, aimed at improving the efficiency of waste management. The system integrates a range …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article