Search Results - "Melgani, Farid"

Convolutional SVM Networks for Object Detection in UAV Imagery by Bazi, Yakoub, Melgani, Farid

“…Nowadays, unmanned aerial vehicles (UAVs) are viewed as effective acquisition platforms for several civilian applications. They can acquire images with an…”
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Automatic Car Counting Method for Unmanned Aerial Vehicle Images by Moranduzzo, Thomas, Melgani, Farid

“…This paper presents a solution to solve the car detection and counting problem in images acquired by means of unmanned aerial vehicles (UAVs). UAV images are…”
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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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Deep learning approach for active classification of electrocardiogram signals by Rahhal, M.M. Al, Bazi, Yakoub, AlHichri, Haikel, Alajlan, Naif, Melgani, Farid, Yager, R.R.

“…In this paper, we propose a novel approach based on deep learning for active classification of electrocardiogram (ECG) signals. To this end, we learn a…”
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A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery by Bejiga, Mesay Belete, Zeggada, Abdallah, Nouffidj, Abdelhamid, Melgani, Farid

“…Following an avalanche, one of the factors that affect victims' chance of survival is the speed with which they are located and dug out. Rescue teams use…”
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Deep Learning-Based Apple Detection with Attention Module and Improved Loss Function in YOLO by Sekharamantry, Praveen Kumar, Melgani, Farid, Malacarne, Jonni

“…Horticulture and agriculture are considered as the important pillars of any economy. Current technological advancements have led to the development of several…”
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A Deep Learning Approach to UAV Image Multilabeling by Zeggada, Abdallah, Melgani, Farid, Bazi, Yakoub

“…In this letter, we face the problem of multilabeling unmanned aerial vehicle (UAV) imagery, typically characterized by a high level of information content, by…”
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Toward Remote Sensing Image Retrieval Under a Deep Image Captioning Perspective by Hoxha, Genc, Melgani, Farid, Demir, Begum

“…The performance of remote sensing image retrieval (RSIR) systems depends on the capability of the extracted features in characterizing the semantic content of…”
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High-Coverage Satellite-Based Coastal Bathymetry through a Fusion of Physical and Learning Methods by Danilo, Céline, Melgani, Farid

“…Introduction Sea coasts are extremely dynamic and fragile regions that are constantly exposed to diverse natural and anthropogenic phenomena, in particular in…”
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Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective by Mochida, Keiichi, Koda, Satoru, Inoue, Komaki, Hirayama, Takashi, Tanaka, Shojiro, Nishii, Ryuei, Melgani, Farid

“…Employing computer vision to extract useful information from images and videos is becoming a key technique for identifying phenotypic changes in plants. Here,…”
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Machine-to-Machine Visual Dialoguing with ChatGPT for Enriched Textual Image Description by Ricci, Riccardo, Bazi, Yakoub, Melgani, Farid

“…Image captioning is a technique that enables the automatic extraction of natural language descriptions about the contents of an image. On the one hand,…”
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Missing-Area Reconstruction in Multispectral Images Under a Compressive Sensing Perspective by Lorenzi, Luca, Melgani, F., Mercier, G.

“…The intent of this paper is to propose new methods for the reconstruction of areas obscured by clouds. They are based on compressive sensing (CS) theory, which…”
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Point-Based Weakly Supervised Learning for Object Detection in High Spatial Resolution Remote Sensing Images by Li, Youyou, He, Binbin, Melgani, Farid, Long, Teng

“…Object detection is challenging in high spatial resolution (HSR) remote sensing images that have a complex background and irregular object locations. To…”
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Domain Adversarial Neural Networks for Large-Scale Land Cover Classification by Bejiga, Mesay Belete, Melgani, Farid, Beraldini, Pietro

“…Learning classification models require sufficiently labeled training samples, however, collecting labeled samples for every new problem is time-consuming and…”
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Characterizing the spatiotemporal distribution of meteorological drought as a response to climate variability: The case of rift valley lakes basin of Ethiopia by Tesfamariam, Birhane Gebrehiwot, Gessesse, Berhan, Melgani, Farid

“…Climate variability and recurrent meteorological droughts frequently affect the rain-dependent Ethiopian agriculture, where the rift valley lakes basin is one…”
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Remote Sensing Analysis for Vegetation Assessment of a Large-Scale Constructed Wetland Treating Produced Water Polluted with Oil Hydrocarbons by Al-Jabri, Khaled, Al-Mulla, Yaseen, Melgani, Farid, Stefanakis, Alexandros

“…The identification and assessment of plant stress using wetland satellite images is a major task in remote sensing. In this study, one of the largest…”
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MaxEnt-based modeling of suitable habitat for rehabilitation of Podocarpus forest at landscape-scale by Tesfamariam, Birhane Gebrehiwot, Gessesse, Berhan, Melgani, Farid

“…Modeling the current distribution and predicting suitable habitats of threatened species support proper planning processes for conservation and restoration…”
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RS-LLaVA: A Large Vision-Language Model for Joint Captioning and Question Answering in Remote Sensing Imagery by Bazi, Yakoub, Bashmal, Laila, Al Rahhal, Mohamad Mahmoud, Ricci, Riccardo, Melgani, Farid

“…In this paper, we delve into the innovative application of large language models (LLMs) and their extension, large vision-language models (LVLMs), in the field…”
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Deep residual 2D convolutional neural network for cardiovascular disease classification by Elyamani, Haneen A., Salem, Mohammed A., Melgani, Farid, Yhiea, N. M.

“…Cardiovascular disease (CVD) continues to be a major global health concern, underscoring the need for advancements in medical care. The use of…”
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A Novel Hybrid Deep-Learning Approach for Flood-Susceptibility Mapping by Riche, Abdelkader, Drias, Ammar, Guermoui, Mawloud, Gherib, Tarek, Boulmaiz, Tayeb, Souissi, Boularbah, Melgani, Farid

“…Flood-susceptibility mapping (FSM) is crucial for effective flood prediction and disaster prevention. Traditional methods of modeling flood vulnerability, such…”
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