Search Results - "Abdelghani, Chibani"

Self-Diagnosis Technique for Virtual Private Networks Combining Bayesian Networks and Case-Based Reasoning by Bennacer, Leila, Amirat, Yacine, Chibani, Abdelghani, Mellouk, Abdelhamid, Ciavaglia, Laurent

“…Fault diagnosis is a critical task for operators in the context of e-TOM (enhanced Telecom Operations Map) assurance process. Its purpose is to reduce network…”
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Assistance and Service Robotics in a Human Environment by Daney, David, Mohammed, Samer, Spalanzani, Anne, Chibani, Abdelghani, Simonin, Olivier

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A CNN-MLP Deep Model for Sensor-based Human Activity Recognition by Nadia, Agti, Lyazid, Sabri, Okba, Kazar, Abdelghani, Chibani

“…Traditional methods for pattern recognition have demonstrated significant advancements in recent years. However, these techniques have traditionally relied on…”
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Stream Reasoning approach on Human Behavior for Medication Risks Detection using LARS Framework by Nadia, Agti, Lyazid, Sabri, Okba, Kazar, Abdelghani, Chibani

“…Human activity detection and analysis is essential in many areas, including healthcare, smart settings, and surveillance. Traditional techniques fail to…”
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DRSU-net: Depth-Residual Separable U-net model for Semantic Segmentation by Arbane, Mohamed, Khanouche, Mohamed Essaid, Khodabandelou, Ghazaleh, Abdelghani, Chibani, Amirat, Yacine

“…In recent years, semantic segmentation has become an increasingly important task in computer vision, with numerous applications in image analysis and object…”
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Ontology-based hybrid commonsense reasoning framework for handling context abnormalities in uncertain and partially observable environments by Moulouel, Koussaila, Chibani, Abdelghani, Amirat, Yacine

“…Ambient intelligence (AmI) systems aim to provide users with context-aware assistance services intended to improve the quality of their lives in terms of…”
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A Hybrid Context-aware Framework to Detect Abnormal Human Daily Living Behavior by Mojarad, Roghayeh, Attal, Ferhat, Chibani, Abdelghani, Amirat, Yacine

“…In Ambient Assisted Living (AAL) systems, one of the main objectives is to provide intelligent services to enhance the quality of people's lives in terms of…”
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A Lasso quantile periodogram based feature extraction for EEG-based motor imagery by Meziani, Aymen, Djouani, Karim, Medkour, Tarek, Chibani, Abdelghani

“…[Display omitted] •This study proposes to use quantile periodogram (QP) and LASSO quantile periodogram (LQP) for feature extraction in nonlinear non-Gaussian…”
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Semisupervised Generative Adversarial Networks With Temporal Convolutions for Human Activity Recognition by Zilelioglu, Hazar, Khodabandelou, Ghazaleh, Chibani, Abdelghani, Amirat, Yacine

“…Many potential applications of human activity recognition (HAR) can be found in health, surveillance, manufacturing, sports, and so on. For instance, HAR can…”
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Generic semi-supervised adversarial subject translation for sensor-based activity recognition by Soleimani, Elnaz, Khodabandelou, Ghazaleh, Chibani, Abdelghani, Amirat, Yacine

“…Performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of…”
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A Recurrent Neural Network Optimization Method for Anticipation of Hierarchical Human Activity by Khodabandelou, Ghazaleh, Chibani, Abdelghani, Amirat, Yacine, Tanimoto, Steven

“…Human activity anticipation is a pillar of new interactive multimedia technologies. It enables better human-computer interaction and creative sensory…”
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A hybrid and context-aware framework for normal and abnormal human behavior recognition by Mojarad, Roghayeh, Chibani, Abdelghani, Attal, Ferhat, Khodabandelou, Ghazaleh, Amirat, Yacine

“…Human behavior recognition is one of the significant components of Ambient Assisted Living (AAL) systems and personal assistive robots allowing to improve the…”
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Semi-Supervised Generative Adversarial Networks with Temporal Convolutions for Human Activity Recognition by Zilelioglu, Hazar, Khodabandelou, Ghazaleh, Chibani, Abdelghani, Amirat, Yacine

“…Many potential applications of human activity recognition (HAR) can be found in health, surveillance, manufacturing, sports, etc. For instance, HAR can be…”
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Generic semi-supervised adversarial subject translation for sensor-based activity recognition: Performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data. Though, data collection and manual labeling in the HAR domain are prohibitively expensive due to human resource dependence in both steps. Hence, domain adaptation techniques are proposed to adapt the knowledge from the existing source of data. More recently, adversarial transfer learning methods have shown promisin by Soleimani, Elnaz, Khodabandelou, Ghazaleh, Chibani, Abdelghani, Amirat, Yacine

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RSS-Based Indoor Localization Using Belief Function Theory by Achroufene, Achour, Amirat, Yacine, Chibani, Abdelghani

“…Received signal strength (RSS) is a simple and low-cost method of localization in wireless sensor networks (WSNs) and is of significant interest in ambient…”
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Clustering-based and QoS-aware services composition algorithm for ambient intelligence by Khanouche, Mohamed Essaid, Attal, Ferhat, Amirat, Yacine, Chibani, Abdelghani, Kerkar, Moussa

“…Due to the dynamic nature of ubiquitous computing and ambient intelligence (AmI) environments, a challenging issue that needs to be addressed is how to…”
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Automatic Recognition of Gait Phases Using a Multiple-Regression Hidden Markov Model by Attal, Ferhat, Amirat, Yacine, Chibani, Abdelghani, Mohammed, Samer

“…This paper presents a new approach for automatic recognition of gait phases based on the use of an in-shoe pressure measurement system and a…”
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A Group Teaching Optimization-Based Approach for Energy and QoS-Aware Internet of Things Services Composition by Hameche, Salma, Khanouche, Mohamed Essaid, Chibani, Abdelghani, Tari, Abdelkamel

“…Due to the dynamic nature of Internet of Things (IoT) services hosted by energy-constrained devices, the problem of composing services to provide added-value…”
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Extended Hapicare: A telecare system with probabilistic diagnosis and self-adaptive treatment by Kordestani, Hossain, Mojarad, Roghayeh, Chibani, Abdelghani, Barkaoui, Kamel, Amirat, Yacine, Zahran, Wagdy

“…The massive growth of the population with chronic diseases calls for a telecare system to enhance their quality of life and reduce their treatment costs. Most…”
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A Lasso quantile periodogram based feature extraction for EEG-based motor imagery by Meziani, Aymen, Djouani, Karim, Medkour, Tarek, Chibani, Abdelghani

“…The extraction of relevant and distinct features from the electroencephalogram (EEG) signals is one of the most challenging task when implementing Brain…”
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