Search Results - "Berrich, Jamal"

Clustering analysis of human navigation trajectories in a visuospatial memory locomotor task using K-Means and hierarchical agglomerative clustering by Annaki, Ihababdelbasset, Rahmoune, Mohammed, Bourhaleb, Mohammed, Berrich, Jamal, Zaoui, Mohamed, Castilla, Alexandre, Berthoz, Alain, Cohen, Bernard

“…Throughout this study, we employed unsupervised machine learning clustering algorithms, namely K-Means [1] and hierarchical agglomerative clustering (HAC) [2],…”
Get full text

Social distance monitoring using YoloV4 on aerial drone images by El Habchi, Ali, Baibai, Kaoutar, Moumen, Younes, Zerouk, Ilham, Khiati, Wassim, Rahmoune, Nourdine, Berrich, Jamal, Bouchentouf, Toumi

“…Monitoring social distancing in public spaces plays a crucial role in controlling and slowing the spread of the coronavirus during the COVID-19 pandemic. Using…”
Get full text

Evolutionary algorithm for optimized CNN architecture search applied to real-time boat detection in aerial images by Zerrouk, Ilham, Moumen, Younes, Khiati, Wassim, El Habchi, Ali, Berrich, Jamal, Bouchentouf, Toumi

“…When processing the detection of boats in aerial images by neural networks, we have always been concerned about the execution time of these networks in the…”
Get full text

Feasibility and Efficiency of a Novel Bolus Calculator (IF-DIABETE) for Patients With Type 1 Diabetes: A Nonrandomized Single-Arm Pilot Study by Rouf, Siham, Rbiai, Najwa, Baibai, Kaoutar, Berrich, Jamal, Bouchentouf, Toumi, Rahmoun, Mohammed, Abda, Naima, Latrech, Hanane

“…Background The IF-DIABETE system is an insulin bolus dose support, considered as the first bolus calculator dedicated to people with type 1 diabetes, designed…”
Get full text

SEMAT Essence's Kernel applied to O-MaSE by Dahhane, Walid, Berrich, Jamal, Bouchentouf, Toumi, Rahmoun, Mohammed

“…Developing complex systems can be simplified if the designer is guided by a method from Software Engineering. Currently, Agent Oriented Software Engineering…”
Get full text

Setting up a self-learning IDS based on Markov chains theory by Yassine, Ayachi, Noureddine, Rahmoune, Ettifouri, El Hassane, Berrich, Jamal, Toumi, Bouchentouf

“…The tremendous growth of the web-based applications has increased information security vulnerabilities over the Internet. Security administrators use…”
Get full text

Detecting xebsite vulnerabilities based on Markov chains theory by Yassine, Ayachi, Noureddine, Rahmoune, Ettifouri, El-Hassane, Berrich, Jamal, Toumi, Bouchentouf

“…The tremendous growth of the web-based applications has increased information security vulnerabilities over the Internet. Security administrators use…”
Get full text

INKAD COVID-19 IntelliSearch: a multilingual search engine for answering questions about COVID-19 in real-time from the scientific literature by Kaddari, Zakaria, Berrich, Jamal, Rahmoun, Noureddine, Belouali, Saida, Bouchentouf, Toumi

“…Thousands of research papers on COVID-19 have been published since the start of the pandemic. To find relevant information in this vast literature, researchers…”
Get full text

Increasing the Performance of an IDS using ANN model on the realistic cyber dataset CSE-CIC-IDS2018 by Ayachi, Yassine, Mellah, Youssef, Berrich, Jamal, Bouchentouf, Toumi

“…Our society, economy, and critical infrastructures have become largely dependent on computer networks and information technology solutions, on the other hand,…”
Get full text

Detection Process of Ships in Aerial Imagery Using Two Convnets by Zerrouk, Ilham, Moumen, Younes, Khiati, Wassim, Berrich, Jamal, Bouchentouf, Toumi

“…In this article, we focus on boat real time detection in high resolution aerial images taken by UAVs, using convolutional neural networks. This problem is…”
Get full text

Air Surveillance Planning Approach for Large Areas by Khiati, Wassim, Moumen, Younes, Zerrouk, Ilham, Berrich, Jamal, Bouchentouf, Toumi

“…We consider an area we would like to scan using drones that can perform air surveillance, the area is too large for one drone in a mission can reach and scan…”
Get full text

CNN Adaptations for Boat Detection in Aerial Images Tested on Yolo v2 by Zerrouk, Ilham, Moumen, Younes, Khiati, Wassim, Habchi, Ali El, Berrich, Jamal, Bouchentouf, Toumi

“…In this article, we focus on boat real-time detection in aerial images taken by UAVs Unmanned Aerial Vehicles. Several methods dealing with this problem are…”
Get full text

Grid Based approach (GBA): a new approach based on the grid-clustering algorithm to solve a CPP type problem for air surveillance using UAVs by Khiati, Wassim, Moumen, Younes, Habchi, Ali El, Zerrouk, Ilham, Berrich, Jamal, Bouchentouf, Toumi

“…Air surveillance over large area using UAVs (Unmanned Aerial Vehicles) -also called drones- requires good planning. This kind of problem is classified as a CPP…”
Get full text

Biomedical Question Answering: A Survey of Methods and Datasets by Kaddari, Zakaria, Mellah, Youssef, Berrich, Jamal, Bouchentouf, Toumi, Belkasmi, Mohammed G.

“…Thousands of biomedical research papers are published each day. Now, it takes more time than ever for researchers and healthcare information professionals to…”
Get full text

Autonomous solar USV with an automated launch and recovery system for UAV: State of the art and Design by Aissi, Mohammed, Moumen, Younes, Berrich, Jamal, Bouchentouf, Toumi, Bourhaleb, Mohammed, Rahmoun, Mohammed

“…This paper aims to briefly summarize and outline the modern state of USVs (Unmanned Surface Vehicles) and UAVs (Unmanned Aerial Vehicles) technologies…”
Get full text

Text to Code Conversion Using Deep Learning for NLP by Youssef, Mellah, Zakaria, Kaddari, Jamal, Berrich, Toumi, Bouchentouf, Gaouth, Belkasmi Mohammed

“…Semantic parsing is the problem of mapping natural language sentences to a formal representation like lambda calculus expressions. We work on a specific…”
Get full text

CGA: A New Approach to Estimate the Geolocation of a Ground Target from Drone Aerial Imagery by El Habchi, Ali, Moumen, Younes, Zerrouk, Ilham, Khiati, Wassim, Berrich, Jamal, Bouchentouf, Toumi

“…In this paper, we address the geolocation problem of a target on the ground from aerial images captured by the drone camera. We propose a new approach named…”
Get full text

Applying the T5 language model and duration units normalization to address temporal common sense understanding on the MCTACO dataset by Kaddari, Zakaria, Mellah, Youssef, Berrich, Jamal, Bouchentouf, Toumi, Belkasmi, Mohammed G.

“…In this paper, we present the work we did on the MCTACO dataset, which is concerned with temporal common sense understanding in natural language processing. We…”
Get full text