Titlebook: Image and Signal Processing; 9th International Co Abderrahim El Moataz,Driss Mammass,Fathallah Noubo Conference proceedings 2020 Springer N

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Vine Disease Detection by Deep Learning Method Combined with 3D Depth Information huge economic impact, therefore it is considered as a challenge for viticulture. Automatic detection and mapping of vine disease in earlier stage can help to limit its impact and reduces the use of chemicals. This study deals with the problem of locating symptomatic areas in images from an unmanned

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A Random Forest-Cellular Automata Modeling Approach to Predict Future Forest Cover Change in Middle and is based on training Cellular Automata and Random Forest (RF) regression model for predicting species cover transition. Five covariates that precludes such transition have been chosen according to Pearson’s test. The model was trained and validated based on the use of forest cover stratum trans

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Incep-EEGNet: A ConvNet for Motor Imagery Decodinghat help to improve human life. Unfortunately, Electroencephalography that is mainly used to measure brain activities produces noisy, non-linear and non-stationary signals that weaken the performances of Common Spatial Pattern (CSP) techniques. As a solution, deep learning waives the drawbacks of th

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Big Data and Reality Mining in Healthcare: Promise and Potential fruits of the information are easy to see but less noticeable is the information itself. This data could be particularly useful in making people’s lives healthier and easier, by contributing not only to understand new diseases and therapies but also to predict outcomes at earlier stages and make re

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Multistage Deep Neural Network Framework for People Detection and Localization Using Fusion of Visibverse range of fields such as surveillance, autonomous cars and robotic vision. Many intelligent systems are built by researchers to achieve the accuracy of human perception but could not quite achieve it yet. Convolutional Neural Networks (CNN) and Deep Learning architectures are used to achieve hu

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Abderrahim El Moataz,Driss Mammass,Fathallah Noubo

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