Moving Object Detection in low light conditions is a challenging task due to limited visibility and the presence of noise and objects in the captured images, low contrast, low brightness, low appearance information, a...
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Overtime due to many external and internal factors the genomes of various organisms go through rearrangement and mutations. The study of genome evolutions is done well by the understanding of this action. The three im...
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Internet Web services are used to build electronic business applications so they can be interconnected and provide flexibility. When a user needs more than one service at a time, a composition of the available service...
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Indian agriculture is striving to achieve sustainable intensification,the system aiming to increase agricultural yield per unit area without harming natural resources and the *** farming employs technology to improve ...
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Indian agriculture is striving to achieve sustainable intensification,the system aiming to increase agricultural yield per unit area without harming natural resources and the *** farming employs technology to improve *** and accurate analysis and diagnosis of plant disease is very helpful in reducing plant diseases and improving plant health and food crop *** disease experts are not available in remote areas thus there is a requirement of automatic low-cost,approachable and reliable solutions to identify the plant diseases without the laboratory inspection and expert’s *** learning-based computer vision techniques like Convolutional Neural Network(CNN)and traditional machine learning-based image classification approaches are being applied to identify plant *** this paper,the CNN model is proposed for the classification of rice and potato plant leaf *** leaves are diagnosed with bacterial blight,blast,brown spot and tungro *** leaf images are classified into three classes:healthy leaves,early blight and late blight *** leaf dataset with 5932 images and 1500 potato leaf images are used in the *** proposed CNN model was able to learn hidden patterns from the raw images and classify rice images with 99.58%accuracy and potato leaves with 97.66%*** results demonstrate that the proposed CNN model performed better when compared with other machine learning image classifiers such as Support Vector Machine(SVM),K-Nearest Neighbors(KNN),Decision Tree and Random Forest.
The term "Internet of Things" (IoT) is used to describe the global network of billions of devices, buildings, cars, and other physical things that are interconnected and exchange information. IoT security is...
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This research introduces a novel approach that integrates Deep Contextual Learning (DCL), specifically the DCL-256-32 model with an embedding model to accurately classify offense levels within the textual data. The DC...
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The fundus image is a crucial diagnostic tool for diseases like diabetic retinopathy (DR) because it catches a retina, a back of an eye. This issue is most prevalent among diabetics and a leading contributor to blindn...
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In aviation, predictive maintenance is essential for raising aircraft safety, cutting downtime, and optimizing maintenance schedules. The proposed research introduces a new method for forecasting aviation maintenance ...
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Supply Chain Management (SCM) is an activity to transfer the products from one point to another point via various stakeholders. Some of the issues with the traditional SCM systems are security, transparency and centra...
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As data is ubiquitous in several real-world problems, data stream mining is a rapidly growing research area. It is expected that data stream sources will undergo changes in data distribution due to their ephemeral nat...
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