Publications
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Innovation culture in French organisations
The aim of this study was to measure the relative impact of culture and processes on innovation performance. Contrary to processes, culture represents all implicit factors influencing daily behaviour. Culture gathers the unwritten rules of the social game and serves as social cement for an organisation. Processes correspond to identified and formalised practices and rules, […]
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EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
Facial expressions play a crucial role in human communication serving as a powerful and impactful means to express a wide range of emotions. With advancements in artificial intelligence and computer vision, deep neural networks have emerged as effective tools for facial emotion recognition. In this paper, we propose EmoNeXt, a novel deep learning framework for […]
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Toward Universal Creativity Assessment by Untrained Judges
The purpose of a creativity session being first to generate many ideas, how to fast and reliably assess each one’s creativity, even with non-creativity experts? Creative people appearing not only to be good at generating ideas but also at implicitly evaluating them, improving people’s assessment would further improve their own creativity. This paper investigates canonical […]
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Improving Causality in Interpretable Video Retrieval
This paper focuses on the causal relation between the detection scores of concept (or tag) classifiers and the ranking decisions based on these scores, paving the way for these tags to be used in the visual explanations. We first define a measure for quantifying a causality on a set of tags, typically those involved in […]
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An interior-points algorithm for color and CCT control of multichannel LED lighting system using a Smart 18-Channel Spectral Sensor
In this paper we provide a simple and cost-effective control scheme for controlling a colored light ambience or Correlated Color Temperature (CCT) in a room at least partially lit up by a set of colored LEDs. The objective is to maintain a desired lighting ambience or desired CCT in a room by taking into account […]
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Fully Residual Unet-based Semantic Segmentation of Automotive Fisheye Images: a Comparison of Rectangular and Deformable Convolutions
Semantic image segmentation is an essential task for autonomous vehicles and self-driving cars where a complete and real-time perception of the surroundings is mandatory. Convolutional Neural Network approaches for semantic segmentation standout over other state-of-the-art solutions due to their powerful generalization ability over unknown data and end-to-end training. Fisheye images are important due to their […]
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Fatigue Evaluation and Scheduling for Manual Tasks: A Break Planning Approach
The quality and time execution of any production task involving human operator depend on the state of the operator and its behaviour. Recently, several studies are interested in the modelling of human behaviour in industrial system to design human centred manufacturing system. In this context, this paper focus of the fatigue of operator in production […]
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Indoor Air Temperature and Occupant Behavior in Classroom of higher education building in Mediterranean climate
Data collection Include the measurement of indoor and outdoor environmental parameters (air temperature and relative humidity) and occupant interactions with building systems (window and door status: open/closed, blind state, and thermostat/air-conditioning adjustment). The outdoor air temperature, relative humidity, and wind speed were collected as potential control variables to indicate different outdoor conditions. The indoor air […]
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Reinforcement Learning for Optimal HVAC Control: from Theory to Real-world Applications
The HVAC system accounted for a significant portion of the building’s energy consumption, resulting in enormous CO2 emissions. Among the numerous HVAC control methods, reinforcement learning (RL) gives the ability to control complex systems without requiring an explicit model of the building’s thermal dynamics. This study conducted a concise review of previous research on the […]
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Occupancy Prediction in Buildings Using Cascaded LSTM Model
Buildings are one of the prominent sectors among global primary energy consumption. A large portion of this energy consumption is influenced by occupancy interaction with the buildings. Occupancy prediction in buildings without intruding their privacy helps to enhance the building energy management. Due to the complex relations of the inputs and the temporal dependency, modeling […]
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Towards a manufacturing optimization system through remote robot control system using hand movement
In recent times, there has been a notable shift in manual assembly tasks being replaced by robots. These robots are controlled by operators using keyboards. To enhance this practice, we have introduced a remote human-robot collaboration system. This system allows operators to remotely control robots using hand gestures, utilizing an online hand gesture recognition system. […]
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Forecasting photovoltaic energy for a winter house using a Hybrid Deep Learning Model
As part of the energy transition, controlling energy consumption is a challenge for everyone. To this end, a number of sustainable solutions are being proposed, notably for BIPV (Building Integrated Photovoltaics) buildings. In addition, artificial intelligence (AI) is an effective tool for analyzing photovoltaic (PV) energy production and consumption data. It will then be possible […]
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