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253 articles for “data layer”
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Ocean Surface Features Extraction using Morphological Techniques from Sentinel-1A Data
Abstract: SAR (Synthetic Aperture Radar) imagery of the ocean surface obtained from remote sensinginstruments is one of the prominent research areas. In this paper, detection of oceanicfeatures from SAR using morphological technique is proposed. The detected surface featuresare presented in layered form. The main advantage of such representation is features can beeasily enabled or disabled on SAR image. Algorithm is tested on Sentinel-1A dataset of oceansurface.Keywords: SAR Images, Surface Features, Layered …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 2, 2020 · pp. 1–4 Read article
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CNN-based Approach for Efficient Bell Pepper Leaf Disease Recognition
Abstract: Convolutional Neural Networks (CNNs) have achieved remarkable results in the detection of diseased plant leaves, providing highly accurate predictions. This project offers a comprehensive examination of existing systems designed for the detection of plant-based diseases. Using CNN trained on a dataset of bell pepper plant images, various simulation approaches for neurons and layers were employed. Plant diseases have significant impacts on agricultural productivity, leading to economic losses, reduced crop quality, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 16–22 Read article
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation
Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article
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SQL Injection: A Hazard to Databases Security via Web Application
Abstract: Databases are the first target of the hackers. Weak authentication is one of biggest reason for which we lose our confidential data. We usually share our sensitive information such as debit/credit card numbers, SSN etc. without caring for the fact that when our system will interact in the internet through the WWW environment, huge amount of data is being created which may have user’s personal information. It may cause a …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 30–36 Read article
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AI-Driven Sustainable Supply Chain Framework for Polymer Composite Production
Abstract: As polymer composite processes become more difficult and environmental concerns increase, old supply chain models that just look at cost and operations have shown significant weaknesses when it comes to sustainability. The rising demand for environmentally friendly practices throughout a product’s life cycle requires a new process that makes sustainability a key element in making supply chain choices. The proposed framework was developed in response to this need by using …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 219–235 Read article
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A Systematic Literature Review on Security Challenges in Cloud–Edge Hybrid Systems
Abstract: Cloud–edge hybrid systems have become a key framework in today’s distributed computing landscape, combining fast, near-source data processing at the edge with the flexible scalability and resource richness of centralized cloud infrastructures. However, this in- tegration introduces a complex security landscape where tradi- tional perimeter- based cloud security measures are insufficient for resource- constrained and physically exposed edge nodes. This literature review synthesizes findings from established research publications (2020–2025), focusing …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 Read article
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Wind Forecasting Using Various Neural Networks in Machine Learning
Abstract: Wind Power Forecasting, as the name applies is a process in which data of past is used to tell what kind of output can be expected from a wind turbine in the foreseeable future. Machine learning, can be said to be a derivation of artificial intelligence that makes it possible for the system to learn automatically and improve upon itself from faults, without needing to tell the system to do …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 2, 2021 · pp. 32–43 Read article
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Park Information System for Kolkata: A Low Cost Web Enabled Solution
Abstract: Green parks in urban environment play an important role in promoting public health, art, culture, tourism and economy. City dwellers require information about the parks to get the benefit of green spaces. Web GIS technology has a potential to maintain inventory and disseminate spatial and aspatial information over the Internet. Open source software enables cost effective and feature rich implementation, operation and maintenance of Web GIS application. In this study …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 35–39 Read article
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Effect of Leading-Edge Roughness on the Aerodynamic Characteristics of the Wind Turbine blade
Abstract: Leading-Edge Roughness (LER) strongly dictates boundary layer transition and performance degradation on an airfoil operating at transitional Reynolds numbers, an aerodynamic regime where shear-layer stability mechanisms remain highly complex. The wind tunnel experiments were conducted to investigate the aerodynamic impacts of surface roughness applied over 25% of the chord of a NACA 0018 airfoil using two discrete roughness gradations. Surface roughness induces an early boundary layer trip, causing elevated section …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 45–52 Read article
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Thermal Performance of Flat Tube Louver Fin Heat Exchanger using Artificial Neural Network
Abstract: In this paper, an application of artificial neural networks (ANNs) is presented to predict the outlet temperatures on both fluid side of flat tube louver fin type heat exchanger used in flat tube louver fin heat exchanger. A validated numerical code is developed using MATLAB to generate huge data sets which gives outlet temperature of both the fluids. Three-layer feed-forward back propagation neural network is developed to model the thermal …
Published in Journal of Thermal Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 6–12 Read article
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Artificial Intelligence based Sustainable Decision Intelligence for Climate Action
Abstract: This paper proposes a Sustainable Decision Intelligence (SDI) framework to address the limitations of traditional climate policy through AI-driven analytics. By reviewing literature from 2020–2026, the study examines the impact of Artificial Intelligence (AI) on climate forecasting, energy optimization, and biodiversity monitoring, categorizing these tools into predictive, optimization, and policy intelligence layers. While acknowledging critical hurdles like data bias and computational energy costs, the research argues that integrating AI into …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Literature Review on Internet of Medical Things
Abstract: Artificial Intelligence (AI) is transforming healthcare by improving diagnostics, treatment planning, and patient management through data-driven insights and automation. The Internet of Medical Things (IoMT) represents a significant shift in modern healthcare, enabling real-time patient monitoring, data-driven decision-making, and enhanced medical outcomes. This literature review explores the architecture of IoMT, including perception layer, network layer, transport layer and application layer. It also thoroughly explores key challenges like ensuring data security, …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article
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Comparative Analysis of Neural Network and Linear Regression Applied to Black Friday Data
Abstract: AbstractIn this study, it compares two different types of neural networks. First is a single layer neural network and other is multiple hidden layer neural network. For just comparisons it is ensured that both uses the same activation and output functions and have the same number of nodes and parameters. The networks are trained by the gradient descent algorithm to approximate linear and quadratic functions and examine their convergence properties. …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 1–4 Read article
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Electrical Measurements on La-modified Four-Layered Aurivillius Ceramics
Abstract: Bismuth layered structure ferroelectric (BLSF) of Aurivillius family is found to be attractive owing to its scientific and technological point of view. These materials have potential ferroelectric applications owing to the fact of its high Curie temperature, high temperature piezo-devise and ferroelectric random access memory (FRAM), applications. In addition, Bi-modified compounds have shown improved ferroelectric properties. However, the plausible reason for improving ferroelectric properties in Bi-modified is still unclear. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 157–170 Read article
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Group Management for Secure and Dynamic Sharing of Data in Cloud Computing
Abstract: Cloud computing has emerged as new model of computing which allows outsourcing data. The phenomenon of outsourcing data to cloud became obvious as cloud has infrastructure as a service (IaaS) layer for it. With this feature of cloud, there is growing trend in outsourcing data to cloud. When an enterprise outsources its data to cloud, it needs to take care of its functionalities in terms of data sharing across its …
Published in Current Trends in Information Technology · Vol. 6, Issue 3, 2016 · pp. 16–23 Read article
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Control of Separation Induced on the Wing of Transonic Speed Aircraft by Means of Micro Vortex Generator
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 This experimental study provides an assessment of the potential of applying a control device to mitigate undesired separation formed on the wing of an aircraft causing instability of the airliner. They are used in a wide range of aircrafts and yet needs to be improved for wider applications.The study was conducted in a transonic wind tunnel. The concept of passive control, …
Published in Journal of Aerospace Engineering & Technology · Vol. 1, Issue 2, 2011 Read article
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Optimization of Process Parameters for FDM Printed Tensile Test Specimens to Reduce Energy Consumption and CO2 Emission for Sustainable Manufacturing
Abstract: Three-Dimensional Printing (3D Printing) is one of the advanced manufacturing technologies which is being tremendously used in many fields because of its innovative applications. The concept of making a three-dimensional product by adding the material layer upon layer through Computer Aided Design (CAD) file data as input source is known as 3D Printing. Fused Deposition Modelling (FDM) is one of the leading technologies from all the available 3D Printing technologies, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 63–71 Read article
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A Geospatial Approach to Interlink Seasonal Reservoirs to Mitigate Drought at Micro-Level in Sivaganga Taluk, Tamilnadu
Abstract: Drought is one of the most widespread hydro-meteorological syndrome of ‘prolonged period of water Scarcity affecting human life. Government of India has declared 13 states under drought prone regions and Sivaganga district in the state of Tamilnadu is selected for this study as it falls under Drought Prone Area Programme. The aim of this study is to identify and manage drought on microlevel. LANDSAT ETM+ of 2015, SRTM DEM, ten …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 1, 2017 · pp. 66–75 Read article
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The DVB-H Standard: Comparative Analysis of The Results Obtained for Various Modulation techniques and Different Code Rates
Abstract: DVB-H happens to be the technical specification for the transmission of digital TV to mobile telephones and PDAs - handheld receivers. Published as a formal standard DVB-H is a physical layer specification designed to facilitate the efficient delivery of IP-encapsulated data over terrestrial networks. The creation of DVB-H, which is closely related to DVB-T, also entailed modifications of some other DVB standards dealing with data broadcasting, service Information, etc. It …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 1, 2021 · pp. 8–18 Read article