Search Results - "Brahimi, Mohammed"

Deep Learning for Tomato Diseases: Classification and Symptoms Visualization by Brahimi, Mohammed, Boukhalfa, Kamel, Moussaoui, Abdelouahab

“…Several studies have invested in machine learning classifiers to protect plants from diseases by processing leaf images. Most of the proposed classifiers are…”
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An improved sine cosine algorithm to select features for text categorization by Belazzoug, Mouhoub, Touahria, Mohamed, Nouioua, Farid, Brahimi, Mohammed

“…Bag of words model is commonly used for text categorization. The main problem of this model lies in the large number of involved features, which influences the…”
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Potential Soil Erosion Modeled with RUSLE Approach and Geospatial Techniques (GIS Tools and Remote Sensing) in Oued Joumouaa Watershed (Western Prerif-Morocco) by Fartas, Najia, El Fellah, Bouchta, Mastere, Mohamed, Benzougagh, Brahim, El Brahimi, Mohammed

“…Water erosion is a complicated phenomenon that contributes to soil degradation and is linked to natural and anthropogenic causes that are difficult to manage…”
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Physico-Chemical Characterization and Evaluation of Soil Structural Stability in the Oued Joumouaa Watershed (Western Prerif) by Fartas, Najia, El Fellah, Bouchta, Mastere, Mohamed, Benzougagh, Brahim, El Brahimi, Mohammed

“…Soil degradation leads to alteration of ecological and economic functions due to a decrease in productivity and quality of the soil. The aim of the present…”
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Quantification of Soil Sensitivity to Water Erosion by the RUSLE Model in the Oued Amter Watershed, Northwestern Morocco by El Brahimi, Mohammed, El Fellah, Bouchta, Mastere, Mohamed, Benzougagh, Brahim, El Basri, Mohamed, Fartas, Najia

“…The present study aims to estimate the soil losses in the watershed of Oued Amter extends the length of the internal Rifain domain, located in the region of…”
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3D skeleton‐based action recognition by representing motion capture sequences as 2D‐RGB images by Laraba, Sohaib, Brahimi, Mohammed, Tilmanne, Joëlle, Dutoit, Thierry

“…In recent years, 3D skeleton‐based action recognition has become a popular technique of action classification, thanks to development and availability of…”
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Improving plant disease classification using realistic data augmentation by Benabbas, Wassim, Brahimi, Mohammed, Akhrouf, Samir, Fortas, Bilal

“…Recently, several studies have used deep convolutional neural networks (DCNN) for plant disease classification based on leaf symptoms images. Most of these…”
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SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering by Brahimi, Mohammed, Haefner, Bjoern, Yenamandra, Tarun, Goldluecke, Bastian, Cremers, Daniel

“…We propose an end-to-end inverse rendering pipeline called SupeRVol that allows us to recover 3D shape and material parameters from a set of color images in a…”
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Assessing soil erosion vulnerability through geospatial morphometric analysis in the Oued Amter Basin (Northwest Morocco) by El Brahimi, Mohammed, Mastere, Mohamed, Benzougagh, Brahim, El Fellah, Bouchta, Fartas, Najia, Ladel, Latifa, Sbihi, Ayyoub, Turyasingura, Benson, Alsulamy, Saleh, Khedher, Khaled Mohamed, Shohan, Ahmed Ali A., Salem, Mohamed Abdelaziz, Alluqmani, Ayed Eid

“…Sustainable development is threatened by soil erosion. Since it takes over 300 years for a centimeter of soil to form, preventing soil erosion is essential to…”
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Deep interpretable architecture for plant diseases classification by Brahimi, Mohammed, Mahmoudi, Said, Boukhalfa, Kamel, Moussaoui, Abdelouhab

“…Recently, many works have been inspired by the success of deep learning in computer vision for plant diseases classification. Unfortunately, these end-to-end…”
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Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-Light Photometric Stereo by Brahimi, Mohammed, Haefner, Bjoern, Ye, Zhenzhang, Goldluecke, Bastian, Cremers, Daniel

“…Neural approaches have shown a significant progress on camera-based reconstruction. But they require either a fairly dense sampling of the viewing sphere, or…”
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Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo by Brahimi, Mohammed, Haefner, Bjoern, Ye, Zhenzhang, Goldluecke, Bastian, Cremers, Daniel

“…Neural approaches have shown a significant progress on camera-based reconstruction. But they require either a fairly dense sampling of the viewing sphere, or…”
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SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering by Brahimi, Mohammed, Haefner, Bjoern, Yenamandra, Tarun, Goldluecke, Bastian, Cremers, Daniel

“…We propose an end-to-end inverse rendering pipeline called SupeRVol that allows us to recover 3D shape and material parameters from a set of color images in a…”
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Location Embedding and Deep Convolutional Neural Networks for Next Location Prediction by Sassi, Abdessamed, Brahimi, Mohammed, Bechkit, Walid, Bachir, Abdelmalik

“…We focus in this work on predicting the next location of mobile users by analyzing large data sets of the history of their movements. We make use of past…”
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Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning by Nedjar, Imane, Brahimi, Mohammed, Mahmoudi, Said, Ayad, Khadidja Abi, Chikh, Mohammed Amine

“…Computer aided detection and diagnosis systems based on deep learning have shown promising performance in breast cancer detection. However, there are cases…”
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On the well-posedness of uncalibrated photometric stereo under general lighting by Brahimi, Mohammed, Quéau, Yvain, Haefner, Bjoern, Cremers, Daniel

“…Uncalibrated photometric stereo aims at estimating the 3D-shape of a surface, given a set of images captured from the same viewing angle, but under unknown,…”
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Deep interpretable architecture for plant diseases classification by Brahimi, Mohammed, Mahmoudi, Said, Boukhalfa, Kamel, Moussaoui, Abdelouhab

“…Recently, many works have been inspired by the success of deep learning in computer vision for plant diseases classification. Unfortunately, these end-to-end…”
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