no code implementations • 6 Mar 2024 • Meryem Amaouche, Ouassim Karrakchou, Mounir Ghogho, Anouar El Ghazzaly, Mohamed Alami, Ahmed Ameur
Bladder cancer ranks within the top 10 most diagnosed cancers worldwide and is among the most expensive cancers to treat due to the high recurrence rates which require lifetime follow-ups.
no code implementations • 3 Jan 2024 • Ihsane Gryech, Chaimae Assad, Mounir Ghogho, Abdellatif Kobbane
The general objective of this paper is to systematically review applications of machine learning and Internet of Things (IoT) for outdoor air pollution prediction and the combination of monitoring sensors and input features used.
no code implementations • 5 Sep 2023 • Alaa Zniber, Ouassim Karrakchou, Mounir Ghogho
Internet of Things (IoT) sensors are nowadays heavily utilized in various real-world applications ranging from wearables to smart buildings passing by agrotechnology and health monitoring.
no code implementations • 31 Aug 2023 • Abdelghani Ghanem, Philippe Ciblat, Mounir Ghogho
Offline Reinforcement Learning (RL) is structured to derive policies from static trajectory data without requiring real-time environment interactions.
no code implementations • 31 Aug 2023 • Riccardo Miccini, Alaa Zniber, Clément Laroche, Tobias Piechowiak, Martin Schoeberl, Luca Pezzarossa, Ouassim Karrakchou, Jens Sparsø, Mounir Ghogho
Although deep learning has made strides in the field of deep noise suppression, leveraging deep architectures on resource-constrained devices still proved challenging.
no code implementations • 7 Apr 2023 • Ayoub Farkane, Mounir Ghogho, Mustapha Oudani, Mohamed Boutayeb
This assumption serves to simplify the system and guarantees that the velocity adheres to the divergence-free equation.
no code implementations • 9 Feb 2023 • Daniel Bonilla Licea, Viktor Walter, Mounir Ghogho, Martin Saska
In such system, the UAVs are equipped with LEDs that act as beacons and with cameras allowing them to locate the LEDs of other UAVs.
no code implementations • 3 Oct 2022 • Chaimae Asaad, Imane Khaouja, Mounir Ghogho, Karim Baïna
Epidemics and outbreaks present arduous challenges requiring both individual and communal efforts.
no code implementations • 28 Sep 2022 • Youness Moukafih, Mounir Ghogho, Kamel Smaili
Recently, Supervised Contrastive Learning (SCL) has been shown to achieve excellent performance in most classification tasks.
no code implementations • 29 Jul 2022 • Adil Bahaj, Safae Lhazmir, Mounir Ghogho
Knowledge Graph (KG) completion is an important task that greatly benefits knowledge discovery in many fields (e. g. biomedical research).
no code implementations • 1 Feb 2022 • Mohamed Aymane Ahajjam, Daniel Bonilla Licea, Mounir Ghogho, Abdellatif Kobbane
In this paper, we investigate the use of Variational Mode Decomposition and deep learning techniques to improve the accuracy of the load forecasting problem.
no code implementations • 15 Jul 2020 • Hakim Hafidi, Mounir Ghogho, Philippe Ciblat, Ananthram Swami
We propose Graph Contrastive Learning (GraphCL), a general framework for learning node representations in a self supervised manner.
no code implementations • 23 Dec 2018 • Mehdi Zakroum, Mounir Ghogho, Mustapha Faqir, Mohamed Aymane Ahajjam
If the sky is classified as cloudy, we propose to use a deep neural network having as input features the PCNP to predict intra-hour variability of the solar irradiance.
no code implementations • 23 Dec 2018 • Mehdi Zakroum, Abdellah Houmz, Mounir Ghogho, Ghita Mezzour, Abdelkader Lahmadi, Jérôme François, Mohammed El Koutbi
Understanding the properties exhibited by large scale network probing traffic would improve cyber threat intelligence.