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47 articles for “Image closing”
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Neuroimaging in Clinical Trials for Huntington’s Disease: Emerging Research Findings: The Advancement Directions and Implications
Abstract: Neuroimaging is very important in coordinating and conducting Huntington’s disease clinical trials as a tool in selecting patients, managing safety concerns, and assessing the benefits of interventions. This review presents the current uses and potential future uses of structural and functional magnetic resonance imaging (MRI), diffusion imaging, positron emission tomography (PET), proton magnetic resonance spectroscopy (MRS), perfusion imaging, and magneto encephalography (MEG) in HD trials. We describe how these modalities …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 32–44 Read article
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Comparative Assessment of Using Visual and Close Range Photogrammetry Techniques to Evaluate Rigid Pavement Surface Distresses
Abstract: AbstractThe main task of this study is to introduce the close range photogrammetric approach for evaluation of rigid pavement surface condition, and compare the findings with the traditional visual evaluation technique. The visual inspection was conducted by walking through the roadway and evaluating the pavement surface distress visually. As for the photogrammetric fieldwork, it starts with generation of ground control points around the area of distress. A total station device …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 2, 2015 · pp. 28–36 Read article
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Animal/Object Recognition and Monitoring
Abstract: This study focuses on teaching a computer to identify leopards in images through a process called Object Detection and Image Recognition. We created a special set of pictures (dataset) containing thousands of leopard images. Using a small camera module called ESP32 CAM, we trained the computer to recognize leopards by comparing the images it captures with the ones in the dataset. The results were obtained using a Convolutional Neural Network …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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E-Skin Applications in Healthcare and Robotics: A Study
Abstract: Electronic skin (e-skin) is a transformative technology with the potential to revolutionize the way we interact with our bodies and the world around us. From personalized medicine to advanced robotics, e-skin is paving the way for a future where technology is more integrated, responsive, and attuned to our needs. As research progresses and challenges are overcome, e-skin is poised to become an indispensable tool for improving healthcare and shaping the …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 12–20 Read article
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Regional Rice Yield Estimation by Integration of Spatial Technologies and Crop model
Abstract: This study investigates how spatial technologies like remote sensing and GIS (Geographic Information System) integrated with a crop growth model to estimate paddy rice yields. Two approaches were used to estimate rice yield one is from remote sensing images and another from soil, climate layers of GIS, linked to the crop model. Oryza2000 model was used as a crop model to link with these technologies. Results show that yield estimated …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 2, 2013 · pp. 56–66 Read article
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A Study of DCGAN-Based Generative Models for Anime Character Face Generation
Abstract: Artificial intelligence, or AI, has in recent years moved from simple rule-based systems to models that are now fully capable of creative content generation and are referred to as generative AI. One such approach for content generation, introduced in the year 2014, is called generative adversarial networks (GANs), which consists of training a generator to create fake content that tries to mimic real content as closely as possible and a …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 31–41 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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A Real-time Automated Drowsiness Detection of Driver Using the Visual Behaviour and Machine Learning Technique Through WebCam
Abstract: In our day-to-day life, many accidents can occur due to the drowsiness of the driver. It is one of the causes of road accidents. To prevent accidents, we proposed a system to detect the drowsiness of driver by measuring the eye aspect ratio, mouth yawning and alert the driver. It will save the life of a person. In this, the driver fatigue is continuously captured by webcam. Image processing methods …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 10–19 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Accurate & Efficient Plant Disease Detection using Transfer Learning with Edge Impulse
Abstract: Transfer learning is a powerful machine learning technique that allows optimization of pre-trained models for related tasks on small datasets. In this research paper, we explore the application of Edge Impulse & transfer learning for plant diseases and aim to detect on edge devices more effectively at low cost. We collected and preprocessed many plant images and used this data to fine-tune a neural network model pre-trained by Edge Impulse. …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 30–41 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
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Security and Privacy Concerns Surrounding Spying Rovers: A Research Perspective
Abstract: This paper describes the creation of a flexible spying rover utilizing the electronic stability control (ESP32-CAM) module. The ESP32 microcontroller's strength and the ESP32-CAM camera module's capability are combined by the rover to enable remote monitoring and image capturing. The main objective of this paper is to build an effective and adaptable surveillance rover that can take pictures and send them to a specified Telegram channel or user. Humans operate …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 23–31 Read article
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Review of Agriculture Water Conservation Using Remote Sensing
Abstract: The operational usage of irrigation depending on frequent multi-spectral imaging data is supported by the experiences accumulated over the previous 30 years. The operational application of dense time - series data of multispectral imaging at high spatial resolution currently enables monitoring of agricultural biophysical parameters, recording crop water usage throughout the growing season, with adequate temporal and spatial resolutions. These developments enable precise estimates of agricultural water requirements with previously …
Published in Journal of Water Pollution & Purification Research · Vol. 9, Issue 2, 2022 · pp. 28–31 Read article
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Monitoring System for Students During Online Exams
Abstract: Remote learning has taken residence owing to the effect of COVID-19. Despite the details and many educational institutes were compulsory to close, students were able to complete their degrees using online platforms. Exams, on the other hand, remain unsolved. It’s been modified to a copy-and-paste assignment form for around, while others have just canceled them. If our current lifestyle is to become the new standard, there necessity to be a …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 22–29 Read article
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GIS and Remote Sensing in Mapping Aquatic Vegetation, The Food Source of Waterfowl
Abstract: Carrying out time and cost effective field surveys has always been a great concern of ecological studies of a large spatial scale. We studied the possibilities to map the distribution of submerged aquatic vegetation in a shallow lake using satellite imagery. We also went further to investigate the relationship of the predicted biomass per creek and bird densities. The study was carried out with an IKONOS image of the Lauwersmeer …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 4, Issue 2, 2015 · pp. 1–10 Read article
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Driver Drowsiness Detection System Using Python, OpenCV and Raspberry Pi
Abstract: The number of accidents and deaths can be greatly decreased by using intelligent systems to prevent auto accidents. Human mistakes, such as drowsy driving, are one of the variables that significantly contribute to accidents. The system looks for symptoms of fatigue and sleepiness on a person's face while they are driving. It is based on an image processing technique. This project presents a way to analyze and anticipate driver drowsiness …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 2, 2023 · pp. 6–15 Read article
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McEliece Cryptosystem based User Authentication Scheme in Fog Computing Environment
Abstract: AbstractIn the recent past, the notion of Internet of Things has gained tremendous pace worldwide. IoT provides several services for the ease of human life in several significant areas such as health care, logistics, power grid etc. To keep these devices connected in an efficient network, the concept of Fog network has taken precedence over all other network architectures. Fog network has taken the services provided by a centralized cloud …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 1, 2019 · pp. 17–23 Read article
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A Correlative Study of Machine Learning Algorithms
Abstract: Machine learning (ML) is the term used to define a systematic reading of algorithms and mathematical models of computer structure used to perform a specific task without precise programming. Learning algorithms in many programs we use every day. Nowadays, one of the reasons an online search engine like Google performs so effectively is because the learning algorithm has mastered the art of rating web sites. Additional uses for these algorithms …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 2, 2022 · pp. 30–35 Read article
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Pneumonia Identification Using Explainable Artificial Intelligence
Abstract: Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited. Early and accurate diagnosis is critical for effective treatment and better patient outcomes, but traditional methods are time-consuming and require specialized expertise. This study explores the use of advanced deep learning models VGG16, VGG19, and ResNet50 to detect pneumonia and TB from chest X-ray images. By leveraging transfer …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 01–11 Read article
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Express-U: Real-time Indian Sign Language Recognition
Abstract: This study describes a system that recognizes Indian Sign Language (ISL) hand poses and gestures in real time using the Hand Tracking Algorithm and the LSTM Deep Learning model. This approach aims to close the communication gap between those who are deaf or hard of hearing and the rest of society. Existing solutions either have a low level of accuracy or do not operate in real time. On both measures, …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 17–22 Read article