Publications
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PMoET: Going Wider than Deeper using the Parallel Mixture-of-Experts Transformer for 3D Hand Gesture Recognition
Mistral AI (Artificial Intelligence) Startup has released MixtralTransformers based on a Mixture of Experts layer (MoE). MoE architectures have gained prominence in both Large Language Modeling (LLM) and Computer Vision due to their ability to scale efficiently by dynamically selecting an ensemble of specialized sub-models (a group of experts) for different inputs rather than using […]
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Meeting the challenges of effective readiness for change in a global context
The aim of this paper is to address the potential impact of perceptions on individual readiness for change. Based on a quantitative survey of 310 executives from Anglo Saxon countries, North and Latin Europe, Arabian countries, and Far East Asian countries, identified via multi stage sampling, we compare the impact of employees’ cultural factors (cultural […]
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Enhanced multi-horizon occupancy prediction in smart buildings using cascaded Bi-LSTM models with integrated features
Accurate occupancy prediction in smart buildings is crucial for optimizing energy management, improving occupant comfort, and effectively controlling building systems, particularly for short- and long-term horizons. Recently, deep learning-based occupancy prediction methods have gained considerable attention. However, the full potential of these methods remains under explored in terms of model architecture variations and prediction horizons. […]
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Unlocking the sources of individual readiness for change: exploring the role of nationality
This paper aims to examine primarily the readiness for change at an individual level. Additionally, this study examines the impact of internal change factors on individual readiness for change as well as their effect across nations.
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Uncovering Living Labs’ Activities and Outcomes: Key Insights for Stakeholder Expectations
This article presents a research study on the activities and outcomes of Living Labs, which are collaborative innovation structures that involve various stakeholders in the innovation process. The study aims to provide insights into the practical implementation of Living Labs and their resulting outcomes. The literature review highlights the importance of understanding the activities conducted […]
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Fondements théoriques de l’effet Proteus : comment les avatars influencent le comportement des utilisateurs
L’effet Proteus est un phénomène, décrit pour la première fois en 2007, qui illustre la façon dont l’incarnation d’avatars en réalité virtuelle peut moduler l’attitude et le comportement de son utilisateur. Malgré les nombreuses démonstrations de l’effet dans la littérature, attestant de sa validité, notre compréhension des mécanismes cognitifs à l’origine du phénomène reste insuffisante. […]
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Online Phishing Detection: A Heuristic-Based Machine Learning Framework
The prevalence of phishing attacks has exhibited a marked rise in recent years, posing significant threats to the confidentiality, integrity, and availability of sensitive data at both individual and organizational levels. This escalating threat underscores the critical need for automated and real-time detection of phishing web pages. This paper proposes a novel machine-learning framework that […]
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Trustworty Smart CPS
Application on Autonomous Decisions Using Formal Methods
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Characterizing the Culture of Teal Organizations
Teal organizations arose around the world in the last decades and were recently described as potentially announcing a new stage of evolution for human organizations. They are characterized by three defining features: Self-management, Wholeness, and Evolutionary purpose. As the emergence of such organizations echoes other signs of change in the workplace and in society, we […]
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Optimizing Comfort and Energy Efficiency: The Impact of Model Accuracy on Mutli-Objective MPC
Buildings are responsible for ∼30% of primary energy consumption, mainly because of Heating, Ventilation, and Air Conditioning (HVAC) systems. The usual ON/OFF controller tends to react to occupancy presence, causing discomfort and energy waste. Furthermore, these controllers usually focus on thermal comfort and disregard other comforts, such as air quality, visual, etc. due to their […]
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Metaheuristics and Machine Learning Convergence: A Comprehensive Survey and Future Prospects
The integration of machine learning techniques with optimization algorithms has garnered increasing interest in recent years. Two primary purposes emerge from the literature: leveraging metaheuristics in machine learning applications such as regression, classification, and clustering, and enhancing metaheuristics using machine learning to improve convergence time, solution quality, and flexibility. Machine learning techniques offer real-time decision-making […]
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