Search
147 articles for “image scale”
-
An Analysis on Gender Classification using Face Images Using DWT, (2D)2PCA and SVM
Abstract: AbstractClassifying gender compared to others and is used in this work. Biometry is the use of physical characteristics like face, fingerprints, iris, etc. of an individual for personal identification. Some of the difficult issues of face biometrics are face detection, face recognition, and face identification. These problems are being researched by the computer vision community for the last few decades. Considering the big population, the authentication process of an individual …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 30–40 Read article
-
Multi-Criteria Decision Making and Geoinformatics: Evaluating Tools for Alternative Road Network in Hilly Terrain
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Mobility is the backbone of activity system of the human race. Road transportation network has been an essential infrastructure facility, which needs to be developed and regularly maintained to detain increasing population and economy. A road network should offer connectivity throughout the year without any natural and anthropogenic hindrance. In the Ladakh province of Jammu and Kashmir, where road is the largest …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 3, 2012 · pp. 31–41 Read article
-
Green Gesture Control Tractor
Abstract: India being the agricultural country a clean technology for farming can increase the prosperity of farmer and prosperity of the nation at large. Prototype of Green Gesture Control Tractor is designed and developed specially for the farmers. The main objective was plowing, planting, sprinkling of pesticide, harvesting the crop and transportation of crop with least efforts. In Green Gesture Control Tractor, human hand motions are sensed by sensor (ADXL345 accelerometer) …
Published in Current Trends in Information Technology · Vol. 10, Issue 2, 2020 · pp. 12–17 Read article
-
Extraction of High Resolution DEM from Cartosat-1 Stereo Imagery using Rational Math Model and Its Accuracy Assessment for a Part of Snow Covered NW-Himalaya
Abstract: This paper reports the experiments carried out for extraction of DEMs from Cartosat-1 stereo imagery using stereo correlation technique for Manali region. The focus of this paper was to assess the accuracy of extracted DEM with respect to DGPS observations, DEM generated from digitized contours of Survey of India (SoI), 1:50,000 scale topographic map(converted to ellipsoidal height using egm2008 geoid model) as well as well-known freely available DEMs ASTER GDEM …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 2, 2013 · pp. 23–34 Read article
-
Development and Evaluation of Polymer-based Educational Materials for Reducing Anxiety During MRI Scans
Abstract: Magnetic Resonance Imaging (MRI) scans are crucial diagnostic tools, but patient anxiety can hinder successful completion of the procedure. This study investigates the design, development, and evaluation of educational materials fabricated from polymers for use in reducing anxiety in patients undergoing MRI scans. We aimed to create informative and user-friendly materials using polymers due to their potential advantages, such as durability, visual appeal, and ease of disinfection. The educational materials …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 119–124 Read article
-
Convolutional Neural Network Based Ripeness Detection of Fruits
Abstract: The accurate and efficient assessment of fruit ripeness plays a crucial role in ensuring the quality of fruits and optimizing supply chain management. This paper presents a novel approach for the automated detection of apple and banana ripeness using Convolutional Neural Networks (CNNs). The suggested method supports the capability of CNNs to learn hierarchical features from images, variations in color and shape associated with different ripeness stages. The online dataset …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 30–36 Read article
-
Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
-
Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 4, 2023 · pp. 34–43 Read article
-
Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 2, 2021 · pp. 34–43 Read article
-
Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
-
Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
-
Video Restoration Based on Linear Transformation Method For Real Time Fog –Free Vision In Vehicles
Abstract: The detecting problem of day time fog and calculating visibility distances is the main focus of this paper. An original linear transformation method has been developed for achieving the goal. The solution mentioned here, features the benefit of using a single video camera output. From the camera output the sky region and the fog infected region are identified. The fog infected region is further applied quad-tree subdivision, based on this, …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 1, 2018 · pp. 34–40 Read article
-
The Invisible Engineers: How Viruses Change Cells at the Molecular Level
Abstract: Viruses are frequently thought of as simple parasites, yet at the molecular level, they are quite good at engineering and may change the way the cells they infect work. The Invisible Engineers: How Viruses Rewire Cells at the Molecular Scale looks into how viruses get into host cells, mess up intracellular circuits, and exploit molecular resources to make copies of themselves. This article talks about how viral proteins and nucleic …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 1–6 Read article
-
Current Aspects of Nanomedicine for Cancer
Abstract: Nanotechnology is an advanced as well as budding branch of the science. It involves the studies of materials at the nano scale. It has demonstrated its enormous applications in almost every discipline like in biotechnology, medicines, electronics, etc. Among its nanotechnology, when applied to medical specialties than it is called nanomedicines. Nanomedicines are surprisingly effective in case of cancer. Nanomedicines provide better drug delivery as well as more efficacious against …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 3, Issue 1, 2014 · pp. 1–4 Read article
-
Simulation and Analysis of Grid Integrated Solar PV System under Variable Climatic Conditions
Abstract: Infusing photovoltaic power into the utility network has earned expansive affirmation in nowadays of reasonable force source age and scattering. Lattice associated inverters have propelled inside and out with high-various assortment. Effectiveness, size, weight, steadfastness, etc have all improved in a general sense with the improvement of present and imaginative inverter arrangements and these factors have influenced the expense of delivering inverters. This paper shows a composing overview of the …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 2, 2020 · pp. 26–33 Read article
-
Pothole Detection utilising Machine Learning: A Review
Abstract: Potholes must be found and fixed quickly in order to maintain infrastructure, maximize transportation systems, and guarantee road safety. Using the Sequential API and the Keras library, this study presents a neural network model for pothole detection. Convolutional layers with ReLU activation, global average pooling, dense layers with dropout, and softmax activation for binary classification make up the model architecture. Image loading, resizing, array conversion, labeling, shuffling, normalization, and one-hot …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 35–43 Read article
-
A Statistical Approach Noise Tolerant Texture Classification
Abstract: A simple, efficient, yet robust multi resolution approach to texture classification binary rotation invariant and noise tolerant. The proposed approach is very fast to build and very compact while remaining robust to illumination variations, rotation changes, and noise. We have developed a novel and simple strategy to compute a local binary descriptor based on the conventional local binary pattern (LBP) approach, preserving the advantageous characteristics of uniform LBP. Points are …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
-
Neuromyelitis Optica Disorders: A Retrospective Observational Study: Experience of Tertiary Hospital in Central India
Abstract: Background: NMOSD is a wide spectrum primary demyelinating syndrome of nervous system with varied clinical, serology and radiologic features. Objectives: We aim to study the vividness of clinical, serological and associated radiologic features of this disorder through retrospective analysis of the patients’ parameters presented to Neurology unit of AIIMS, Bhopal. Methods: It is a retrospective observational study from July 2020 till July 2022 in neurology. Results: 36 patients were assessed; …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 1, 2023 · pp. 61–68 Read article
-
Aerial Expansion of Govind Sagar Lake in Recent Decades of Bilaspur District of Himachal Pradesh
Abstract: Normal 0 false false false EN-US X-NONE X-NONE A large number of glacial lakes have appeared in many mountain areas of the world due to global warming. Severe floods have been caused by frequent outbursts from the glacial lakes. Hence, investigation is necessary for the management point of view; thereby, satellite images, geological survey and meteorological data are best options for identification of change detection of such lakes. Govind Sagar …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 2, 2012 · pp. 1–12 Read article