Publications
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NUMERICAL INVESTIGATION OF THE FLEXURAL BEHAVIOR OF STEEL PLATES REINFORCED WITH HYBRID FLAX/CARBON COMPOSITE PATCHES
For strengthening or rehabilitation of existing structures, patches of fiber-reinforced polymers (FRP) materials are being adhesively bonded to the existing metallic structures. So far, Carbon FRP (CFRP) are the main composite materials industrially implemented for metal structural reinforcement, due to their reliability and high mechanical performances. However, multiple researchers have highlighted the negative environmental impact […]
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LEAN-BIM SYNERGY IN THE CONSTRUCTION DESIGN PHASE: AUTO-GENERATION AND EVALUATION OF THERMAL ALTERNATIVES
This study explores the integration of Lean principles with Building Information Modeling (BIM) to enhance decision-making in the relatively unexplored field of thermal design for construction projects. Recognizing the limitations of current design processes, characterized by insufficient alternatives and a lack of team collaboration, we introduce a new decision-making tool. This tool centers on a […]
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Sampled-Data Observer Design for Linear Kuramoto-Sivashinsky Systems with Non-Local Output
The aim of this paper is to provide a novel systematic methodology for the design of sampled-data observers for Linear Kuramoto-Sivashinsky systems (LK-S) with non-local outputs. More precisely, we extend the systematic sampled-data observer design approach which is based on the use of an Inter-Sample output predictor to the class of LK-S systems. By using […]
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Impact of polypropylene fibers on the rheological, mechanical, andthermal properties of self-compacting concrete
The objective of this experimental investigation is to examine the impact of using polypropylene fibers on the properties of self-compacting concrete (SCC). Five mixtures were prepared, one reference concrete (without fibers) and four other SCC containing, 0.05,0.1, 0.15, and 0.2% of polypropylenes fibers. Rheological (slump flow, yield stress, and plastic viscosity) and mechanical (compressivestrength) properties […]
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Bi-Objective Multi-Period Multi-Sourcing Supply Planning with Stochastic Lead-Times, Degressive Pricing, and Carbon Footprint
This article studies a bi-objective stochastic optimization problem for multi-period multi-sourcing supply planning. The formulated problem accounts for stochastic lead times, degressive pricing, holding and backlog costs, delivery flexibility costs, as well as both holding and transportation carbon footprint. The first objective is to minimize the expected total cost, while the second objective is to […]
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Supplier Selection Considering Flexibility, Order Splitting, and Uncertainty of lead times
Effective replenishment planning and inventory control are essential for the smooth operation and adaptability of supply chains. These aspects play a pivotal role in upholding a company’s competitiveness and triumph in today’s fiercely competitive markets. Supply chain planners encounter significant hurdles in choosing the most appropriate suppliers in diverse scenarios, reducing average inventory levels, and […]
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Simultaneous Backward Reduction algorithm for disassembly lot-sizing under random ordering lead time
In order to meet item demands, end-of-life (EOL) product and subassembly ordering and disassembly schedules are determined by disassembly lot sizing, which is the subject of this study. We take into consideration a stochastic version with undetermined ordering lead time (OLT). In this case, OLT stands for the amount of time that passes between placing […]
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Modeling Distributed and Flexible PHM Framework based on the Belief Function Theory
This paper explores the integration of the belief function theory within the domain of Prognostics and Health Management (PHM), offering a novel approach to decision-making under conditions of uncertainty and incomplete information. Central to our methodology is the modeling of beliefs and uncertainties through belief mass functions, enabling the representation and aggregation of diverse information […]
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A theoretical review of the Proteus effect: understanding the underlying processes
Humans’ inherent fascination for stories can be observed throughout most of our documented history. If, for a long time, narratives were told through paintings, songs, or literature, recent technological advances such as immersive virtual reality have made it possible for us to interact with storylines and characters in a completely new manner. With these new […]
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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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