Search Results - "Mekhalfi, Mohamed"

Land-Use Classification With Compressive Sensing Multifeature Fusion by Mekhalfi, Mohamed L., Melgani, Farid, Bazi, Yakoub, Alajlan, Naif

“…In this letter, we formulate a land-use (LU) classification problem within a compressive sensing (CS) fusion framework. CS aims at providing a compact…”
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Learning a Multi-Branch Neural Network from Multiple Sources for Knowledge Adaptation in Remote Sensing Imagery by Al Rahhal, Mohamad, Bazi, Yakoub, Abdullah, Taghreed, Mekhalfi, Mohamed, AlHichri, Haikel, Zuair, Mansour

“…In this paper we propose a multi-branch neural network, called MB-Net, for solving the problem of knowledge adaptation from multiple remote sensing scene…”
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Open set classification of Hyperspectral images with energy models by Alwadei, Bashair, Lamine Mekhalfi, Mohamed, Bazi, Yakoub, M Al Rahhal, Mohamad, Zuair, Mansour

“…Hyperspectral images are rich in spectral data, lending themselves well to pixel-level image classification tasks. Previous studies primarily focus on…”
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A comprehensive review of hybrid models for solar radiation forecasting by Guermoui, Mawloud, Melgani, Farid, Gairaa, Kacem, Mekhalfi, Mohamed Lamine

“…Solar radiation components assessment is a highly required parameter for solar energy applications. Due to the non-stationary behavior of solar radiation…”
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Real-Time Indoor Scene Description for the Visually Impaired Using Autoencoder Fusion Strategies with Visible Cameras by Malek, Salim, Melgani, Farid, Mekhalfi, Mohamed Lamine, Bazi, Yakoub

“…This paper describes three coarse image description strategies, which are meant to promote a rough perception of surrounding objects for visually impaired…”
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Deep Unsupervised Embedding for Remote Sensing Image Retrieval Using Textual Cues by Rahhal, Mohamad M. Al, Bazi, Yakoub, Abdullah, Taghreed, Mekhalfi, Mohamed L., Zuair, Mansour

“…Compared to image-image retrieval, text-image retrieval has been less investigated in the remote sensing community, possibly because of the complexity of…”
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Recovering the sight to blind people in indoor environments with smart technologies by Mekhalfi, Mohamed L., Melgani, Farid, Zeggada, Abdallah, De Natale, Francesco G.B., Salem, Mohammed A.-M., Khamis, Alaa

“…•This paper presents a prototype to assist blind people in indoor environments.•The prototype incorporates recognition and guidance units.•It comprises also a…”
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Toward an assisted indoor scene perception for blind people with image multilabeling strategies by Mekhalfi, Mohamed L., Melgani, Farid, Bazi, Yakoub, Alajlan, Naif

“…•A novel coarse indoor scene description framework for blind people is introduced.•Three image multilabeling implementation strategies are…”
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Machine Vision and Robotics for Primary Food Manipulation and Packaging: A Survey by Vasudevan, Saigopal, Lamine Mekhalfi, Mohamed, Blanes, Carlos, Lecca, Michela, Poiesi, Fabio, Ian Chippendale, Paul, Malvido Fresnillo, Pablo, Mohammed, Wael M., Martinez Lastra, Jose L.

“…Vision and Robotic technologies are progressively becoming ubiquitous for automating and digitizing quality control in the food industry. This paper examines…”
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TextRS: Deep Bidirectional Triplet Network for Matching Text to Remote Sensing Images by Abdullah, Taghreed, Bazi, Yakoub, Al Rahhal, Mohamad M., Mekhalfi, Mohamed L., Rangarajan, Lalitha, Zuair, Mansour

“…Exploring the relevance between images and their respective natural language descriptions, due to its paramount importance, is regarded as the next frontier in…”
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Early Identification of Root Rot Disease by Using Hyperspectral Reflectance: The Case of Pathosystem Grapevine/Armillaria by Calamita, Federico, Imran, Hafiz Ali, Vescovo, Loris, Mekhalfi, Mohamed Lamine, La Porta, Nicola

“…Armillaria genus represents one of the most common causes of chronic root rot disease in woody plants. Prompt recognition of diseased plants is crucial to…”
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Vision System for Automatic On-Tree Kiwifruit Counting and Yield Estimation by Mekhalfi, Mohamed Lamine, Nicolò, Carlo, Ianniello, Ivan, Calamita, Federico, Goller, Rino, Barazzuol, Maurizio, Melgani, Farid

“…Yield estimation is an essential preharvest practice among most large-scale farming companies, since it enables the predetermination of essential logistics to…”
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Capsule Networks for Object Detection in UAV Imagery by Mekhalfi, Mohamed Lamine, Bejiga, Mesay Belete, Soresina, Davide, Melgani, Farid, Demir, Begüm

“…Recent advances in Convolutional Neural Networks (CNNs) have attracted great attention in remote sensing due to their high capability to model high-level…”
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Date Fruit Sorting Based on Deep Learning and Discriminant Correlation Analysis by Aiadi, Oussama, Khaldi, Belal, Kherfi, Mohammed Lamine, Mekhalfi, Mohamed Lamine, Alharbi, Abdullah

“…Date fruit is among the major crops in the middle-east region, where millions of tons are harvested every year. Date is a healthy fruit, which involves sugars,…”
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A CNN Approach for Emotion Recognition via EEG by Mahmoud, Aseel, Amin, Khalid, Al Rahhal, Mohamad Mahmoud, Elkilani, Wail S, Mekhalfi, Mohamed Lamine, Ibrahim, Mina

“…Emotion recognition via electroencephalography (EEG) has been gaining increasing attention in applications such as human–computer interaction, mental health…”
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Contrasting Dual Transformer Architectures for Multi-Modal Remote Sensing Image Retrieval by Rahhal, Mohamad M. Al, Bencherif, Mohamed Abdelkader, Bazi, Yakoub, Alharbi, Abdullah, Mekhalfi, Mohamed Lamine

“…Remote sensing technology has advanced rapidly in recent years. Because of the deployment of quantitative and qualitative sensors, as well as the evolution of…”
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Detecting Crop Circles in Google Earth Images with Mask R-CNN and YOLOv3 by Mekhalfi, Mohamed Lamine, Nicolò, Carlo, Bazi, Yakoub, Al Rahhal, Mohamad Mahmoud, Al Maghayreh, Eslam

“…Automatic detection and counting of crop circles in the desert can be of great use for large-scale farming as it enables easy and timely management of the…”
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A Dense Phase Descriptor for Human Ear Recognition by Mahmoud Al Rahhal, Mohamad, Mekhalfi, Mohamed Lamine, Guermoui, Mawloud, Othman, Esam, Lei, Baiying, Mahmood, Awais

“…Ear print is an imminent biometric modality that has been attracting increasing attention in the biometric community. However, compared with well-established…”
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Encoding Motion Cues for Pedestrian Path Prediction in Dense Crowd Scenarios by Li, Yuke, Mekhalfi, Mohamed Lamine, Al Rahhal, Mohamad Mahmoud, Othman, Esam, Dhahri, Habib

“…Pedestrian path prediction is an emerging topic in the crowd visual analysis domain, notwithstanding its practical importance in many respects. To date, the…”
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Person re-identification by order-induced metric fusion by Mirmahboub, Behzad, Mekhalfi, Mohamed Lamine, Murino, Vittorio

“…This paper presents a novel two-pronged framework for person re-identification. Its idea articulates over the fact that distinct descriptors manifest different…”
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