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128 articles for “image normalization”
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Predictive Modeling of Polymer Composites for Medical Implants Using Artificial Intelligence Techniques
Abstract: The use of polymers in biomaterials was now key to designing the next generation of medical implants, which need to be strong and also compatible with living tissue. Tests for biocompatibility, such as those done in the laboratory and by doing experiments on animals, require much time and many resources, so the need for computer-based approaches becomes clear. An artificial intelligence approach was provided in this study to determine how …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 665–692 Read article
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Analysis & Detection Kidney Stone Images using Fuzzy Techniques
Abstract: Kidney Stone is the most debilitating sort in one of the deadliest malignancies type of tumor. Over the a few years the occasion of dangerous tumor has consistently reached out, considering the way that the fix of the disease depends upon its fundamental judgment. Two noteworthy sorts of lung tumor, Small cell & Non-small cell Kidney Stone. The lungs are normally sweeping in measure along these lines tumors can create …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 Read article
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An Abnormal Expression Detection System (AEDS) Using Deep Learning Algorithms
Abstract: In the last decade, many deep learning algorithms have achieved remarkable success and gained popularity in various computer vision tasks, including object detection, image recognition, and segmentation. This AEDS (Abnormal Expression Detection System)leverages the power of deep learning algorithms to detect abnormal facial expressions in real-time automatically. AEDS proposed two important models; those are Deep CNN and RNN. CNN is responsible for learning discriminative features from facial images and capturing …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 72–79 Read article
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Prostate Cancer Detection Using Deep Learning
Abstract: Prostate Cancer is a cancer occurs in prostate gland which is located in male reproductive system. According to the WHO (World Health Organization) the estimated cancer cases in the year 2020 is about 1.4 Million. Prostate cancer is one of the reason for death in men. In this paper we have presented Secondary verification tool for doctors or for normal users to check patient have a cancer or not. And …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 21–26 Read article
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Mapping of Crop Management Factor (C) for Sylhet Sadar using Remote Sensing and GIS
Abstract: Sylhet Sadar suffers from excessive rainfall causing the enormous soil loss in this area. C-factor is one of the most important parameter of the Universal Soil Loss Equation (USLE) and revised version of USLE for estimating soil loss. The current study was conducted for determining the crop management factor (C) using remote sensing (RS) and geographical information system (GIS) tools. Satellite images (Landsat 7 ETM+ of 2000, 2010 and Landsat …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 3, 2020 · pp. 35–46 Read article
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Urban Planning Mitigation Trajectories for Urban Heat Island (UHI) A Case Study of Guntur, Andhra Pradesh, India
Abstract: AbstractGlobal radiation related solair-temperature directly influences Urban Heat Islands (UHI) as the built environments and surrounding atmosphere cause increase in urban solair temperatures, the resulting temperature completely depends on the thermal properties of the exposed materials. Urban heat islands can lead to deterioration of flora and fauna, elevation of ground level ozone, health disorders and increase in building energy consumptions. The study area of Guntur region which is susceptible to …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 8, Issue 2, 2018 · pp. 12–29 Read article
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Development and Performance Evaluation of GO–ZnO/PU Hybrid Nanocomposite Coatings for Improved Optical Transmission, Cooling, and Self-Cleaning in PV Systems
Abstract: The performance of solar photovoltaic (PV) modules with time is affected by thermal heating, dust buildup, and exposure to ultraviolet (UV) light; as a result, the power loss increases rapidly during the use condition. In this study, a polyurethane (PU) nanocomposite, fabricated with graphene oxide and zinc oxide (GO–ZnO), is invented and examined. Improvements in heat management, light transmission, and dirt resistance are planned for PV glass surfaces. The nanocomposite …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 243–249 Read article
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Paediatric Epilepsy: Current Advances in Diagnosis and Management
Abstract: Paediatric epilepsy is one of the most common chronic neurological disorders of childhood, characterised by recurrent unprovoked seizures resulting from abnormal neuronal activity. Accurate diagnosis is essential and is based on a detailed clinical history, seizure semiology, neurological examination, and electroencephalography (EEG), with neuroimaging such as magnetic resonance imaging (MRI) used to identify structural abnormalities. Classification according to seizure type and underlying aetiology genetic, structural, metabolic, immune, infectious, or unknown—guides …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 53–68 Read article
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Identification of Microcalcifications for Early Signs of Breast Cancer using LabView
Abstract: Breast cancer is the second-most common and leading cause of cancer death among women. It has become a major health issue in the world over the years, and it has increased drastically in recent years. Early recognition is an effective way to diagnose and manage breast cancer. Mammography is an efficient imaging technique for detection and diagnosis of breast pathological disorders at the early stage. The problems in mammography images …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 1, 2015 · pp. 1–5 Read article
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A Comprehensive Review on Brain Tumour Classification through Deep Learning Utilizing Convolutional Neural Networks
Abstract: Abstract- Convolutional neural networks (CNNs) constitute a widely used deep learning approach that has frequently been applied to the problem of brain tumor diagnosis. Such techniques still face some critical challenges in moving towards clinic application. Brain tumours are classified using a biopsy, which is not normally done before conclusive brain surgery. The enhancement of this technology by machine learning could aid radiologists in tumour detection without the use of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 3, 2023 · pp. 24–29 Read article
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Bi-Lateral Interactive Device for Deaf
Abstract: AbstractThis paper proposes an assisting system which will help hearing impaired people to communicate with normal people so that world could understand them better. This basically converts Indian sign language to speech and then the corresponding speech from the normal person will be translated into sign language, by this way our system eliminates the need of a third party and reduces the discomfort in the interactions. Gestures from deaf serve …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 2, 2019 · pp. 1–4 Read article
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Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer Composites
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article
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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
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Spatio-temporal Distribution of Wildfire Occurrences on the Lake Floor of Lake Chad Based on Remotely Sensed Data
Abstract: Normal 0 false false false EN-US X-NONE X-NONE This paper analyzes the spatio-temporal distribution of wildfire occurrences on the lake floor of the Lake Chad using satellite remote sensing data. A combination of field survey and computation of fire pixel counts from MODIS images for the period 2001–2009 form the basis for this analysis. The result revealed that the highest number of fires occurred in 2001, with varying figures in …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 2, 2011 · pp. 5–12 Read article
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AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article
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Experimental Study of Burn Rate and Mechanism of Burning of Karanja Oil Biodiesel and Diesel by Using a Porous Sphere
Abstract: Biodiesel is a renewable energy resource, which has the potential to reduce greenhouse emissions and to facilitate energy sustainability. It can provide an alternative to petroleum-based diesel. The combustion characteristics of diesel and biodiesel such as burning rate and flame shape are determined by using the porous-sphere experimental technique. Fuel has been transpired to the surface of a porous sphere. Burning of the fuel takes place on the surface of …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 4, Issue 1, 2013 · pp. 8–18 Read article
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Aerosol Loadings in Association with Vegetative Properties: A Case Study Over North Indian Region
Abstract: Aerosols play an important role in the atmospheric absorption and scattering of light, thereby leading to both warming and cooling of atmosphere. In the Indian subcontinent, the concentration of the aerosols is increasing due to anthropogenic activities which in turn could affect the vegetative properties in the region. The paper presents the study of aerosol optical depth (AOD) in association with vegetative properties using Level 3 data from Multi-angle Imaging …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 3, 2015 · pp. 1–5 Read article
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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
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Antibacterial Activity of CaSO4 Nanorods Prepared via Hydrothermal Method Compared to Bulk CaSO4
Abstract: 800x600 Normal 0 false false false EN-US X-NONE X-NONE Calcium sulphate (CaSO4) nanorods have been synthesized by low-temperature hydrothermal method using CaSO4 powder as precursor and hexadecylamine (HDA) as surfactant at 180 0C for 7 days. The powder X-ray diffraction (PXRD) patterns were studied. Scanning electron microscopy (SEM) images show nanorods have diameters of about 100nm-200nm and length of about 2-10μm. Fourier transformed infrared spectrum (FTIR) shows a strong doublet …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 3, Issue 1, 2013 · pp. 1–6 Read article
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article