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1936 articles for “2.5D range image” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Statistical Exploration and Prediction of the Total Number of Daily Cases and Deaths of Coronavirus Disease 2019 (COVID-19)
Abstract: The study deals with novel coronavirus disease (COVID-19) completed here in two parts. First, we discussed some epidemiological parameters and their comparative study among some highly affected countries. In the second, though random phenomena (like cases and deaths) are unpredictable we tried to find time series ARIMA model and to forecast the nationwide daily total cases and deaths using worldometer database. From January 22 to March 18, 2020, a total …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 3, 2020 · pp. 49–59 Read article
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Analyzing the Spatio-temporal Forest Aboveground Biomass Dynamics in Dimapur, Nagaland, India Using Integrated Geospatial Techniques
Abstract: *Author for CorrespondenceSuman SinhaE-mail: sumanrumpa.sinha@gmail.com 1,2Assistant Professor, Department of Geography, Amity Institute of Social Sciences,Applied Sciences, Amity University Kolkata, West Bengal, India Received Date: July 14, 2023Accepted Date: August 01, 2023Published Date: August 15, 2023 Citation: R.H.O. Suman Sinha, Sarada Modak. Analyzing the Spatio-temporal Forest Aboveground Biomass Dynamics in Dimapur, Nagaland, India Using Integrated Geospatial Techniques. Research & Reviews: Journal of Space Science & Technology. 2023; 12(1): 21–32p.Earth’s climate is …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 12, Issue 1, 2023 · pp. 21–32 Read article
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Investigations of Cosmic Ray Strength in the Heliosphere Through Solar Cycles 23 and 24
Abstract: Solar wind disturbances and magnetic turbulence inside the heliosphere are affected by GCR, which effect is known as Solar Modulation. A data-driven investigation of the Galactic Cosmic Ray flux's temporal dependence over the Solar Cycle is carried out to investigate this event. Every month, we gather GCR data using a global statistical inference to ascertain how rigidity and time affect the GCR diffusion parameters. In this article, we examine their …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 12, Issue 2, 2023 · pp. 7–12 Read article
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2D-QSAR (Quantitative Structure Activity Relationship) Study of Probable Inhibitors for Oral and Cervical Cancers, Generation of Model for Pharmacophore Prediction
Abstract: Twenty-four analogs, conjugates and congeners of curcumin reported as inhibitors against HPV 16 E6 and E7 protein targets have been selected for generating QSAR model. The 46 descriptors were calculated using Schrodinger program version quikprop 9.2. Two alternative methods have been used to generate QSAR models. The first model generation was built on 5 descriptors namely glob, QPlogS, CIQPlogS, IP (eV), human oral absorption which were subjected to multiple linear …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 1–13 Read article
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Numerical Simulation and Design of Efficient Brain Tumor Segmentation with Hybrid Fuzzy K-Means Clustering Technique
Abstract: The goal of this study is to detect brain cancers from MRI images using a Matlab GUI interface. Using the GUI, this application may employ numerous combinations of segmentation, filters, and other image processing methods to produce the best results. We begin by applying the Prewitt horizontal edge-emphasizing filter on the image. “Watershed pixels” are the next step in detecting tumours. The most essential aspect of this project is that …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 8–17 Read article
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Detecting Fake Images with Python: A Simple Approach Using OpenCV and MD5
Abstract: In today’s modern era, ensuring the authenticity of pictures is crucial. This article presents a straightforward method for identifying fake pictures using the widely used OpenCV and MD5 technologies. OpenCV helps us examine pictures for irregularities such as abnormal colors or shapes, while MD5 is a unique digital fingerprint for each image. Our approach combines these tools to create a robust fraud detection system. OpenCV carefully examines various aspects of …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 45–49 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Artificial Intelligence in Image Recognition: Context of Machine Vision
Abstract: The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
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The Role of Indigenous Knowledge Systems in Cultural Heritage Preservation under NEP 2020
Abstract: In Introduction, This study explores the roles of India’s National Education Policy (NEP) 2020 in cultural heritage preservation through indigenous knowledge systems. These include traditional arts, crafts, ecological practices, and languages. It also includes perspectives through gender and regional lenses on this integration. In Methodology, Confirming the study, a survey was held with 2,300 participants, with an equal split of male, female and non-binary, from rural and urban settings. The …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 · pp. 22–30 Read article
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A Study on Automatic Feedback Control by Image Processing for Mixing Solutions in a Microfluidic Device
Abstract: Precise and rapid mixing of chemical and biological reagents is a critical yet challenging aspect of microfluidic systems, often limited by laminar flow conditions and the need for manual or pre- programmed interventions. Existing mixing strategies frequently lack real-time adaptability and closed-loop control, hindering reproducibility and the execution of complex reaction protocols. This work presents an innovative automatic feedback control system utilizing the study on real- time image processing to …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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The Impact of Using High-Resolution Satellite Images on Improving Geographic Maps
Abstract: By integrating high-resolution satellite images into pre-existing mapping frameworks, this study tackles the problem of guaranteeing correctness and dependability in geospatial data updates. The main goal is to assess which satellite imagery sources—SuperView, Ikonos, QuickBird, and WorldView—are appropriate for updating maps at 1:2500 and 1:5000 scales. The process entails evaluating radiometric quality, geometric dependability, spatial correctness, and picture resolution and comparing the results to the specifications of different mapping tasks. …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 36–44 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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Hardware Implementation of Configurable Multi Image Fusion
Abstract: Multifocus images make it difficult to describe a scene accurately. Hence, the fusion of two or more images forms a good solution in order to obtain a new image containing more appropriate description of the scene than any of the input images. This paper presents a method of image fusion which uses stationary wavelet transform and fuzzy logic. By overcoming the disadvantages of discrete wavelet transform such as downsampling and …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 1, 2016 · pp. 6–15 Read article
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Cardiovascular Image Segmentation in Computed Tomography Angiography ImagesUsing Deep Learning Approaches
Abstract: In present time, the cardiovascular disease is one of the common causes of mortality in human. In field of medical science, Heart angiography is one of the processes to testing of heart disease. Heart angiography identifies the abnormality in heart vessels. There are mainly two approaches to identify the heart disease. Former approach is the invasive and latter one is the non-invasive approaches. Invasive process is a painful diagnostic procedure …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 1, 2023 · pp. 20–27 Read article
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Rotation Invariant Copy-Move Image Forgery Detection Using a Method Based on Fuzzy-Zernike Moments
Abstract: AbstractWithout leaving any visual clue, digital images are easy to manipulate due to the availability of countless editing software packages. Any image manipulation can become a forgery. Copymove forgery is a very common method of creating forge images by copying some part of the image and pastes it on the same image. In this paper, we propose a copy-move digital image forgery detection method using Fuzzy-Zernike Moments. The proposed method …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 58–68 Read article
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Prevalence of Perceived Stigma and Associated Factors among People with Epilepsy in Mekelle, Tigray, Ethiopia, 2019
Abstract: AbstractBackground: Epilepsy is defined as the most common, chronic, noninfectious neurologic disease that attacks around fifty up to sixty-nine million peoples without any age, sex, religion, ethnicity boundaries. Stigma is typically a practiced or predicted social system, characterized by exclusion or rejection of a person or group. Now a day perceived stigma among people with epilepsy become public health problems in the world. Perceived stigma in epileptic patients affects many …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 2, 2020 · pp. 24–35 Read article
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Image Compression Techniques-A Comparative Study
Abstract: AbstractDigital images are required to store a large among of storage space in digital computers. Nowadays, computer system is very capable to process digital images with high resolution quite easily. The transmission of huge data needs more time to transfer over network channel. Thus, time and space are two fundamental components of computing. In the field of digital image processing, image compression is one of the most popular and commercially …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 82–87 Read article
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A Review on Digital Image Forgeries and Their Detection
Abstract: Abstract: In today’s digital era due to the availability of large and editing tools which are easily available tempering images and changing the content of images have become the easy task. The image is manipulated in such a way that the viewers cannot detect it. Due to this, more work is being done on the internet and almost all information is conveyed by images. So the important task is to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 37–43 Read article
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Image Segmentation Using Credibility Critical Values
Abstract: In this paper, a method of creating fuzzy data matrix (a matrix whose elements are fuzzy variables) representing an image is proposed. Further, a study on image segmentation carried out on the basis of such a matrix is carried out. This work considers three methods of crisp conversion available in credibility theory. Their performances have been evaluated under k-means clustering and rough k-means clustering with the help of a mammogram …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 46–55 Read article
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A Comparative Study on Different Edge Detection Techniques after Applying Noise Removal Techniques to An Image
Abstract: In digital image processing and computer vision, image segmentation plays an important part. image segmentation refers to the sub division of image into different parts on the basis of different factors like edges, region, etc. edge detection is the most important factor of object recognition in an image. but unwanted signals like noise in an image can affect and degrade the edge detection process in image segmentation. this paper aims …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 33–40 Read article