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View article: Mitigating Co-Activity Conflicts and Resource Overallocation in Construction Projects: A Modular Heuristic Scheduling Approach with Primavera P6 EPPM Integration
Mitigating Co-Activity Conflicts and Resource Overallocation in Construction Projects: A Modular Heuristic Scheduling Approach with Primavera P6 EPPM Integration Open
This paper proposes a heuristic approach for managing complex construction projects. The tool incorporates Primavera P6 EPPM and Synchro 4D, enabling proactive clash detection and resolution of spatial conflicts during concurrent tasks. Ad…
View article: Mitigating Co-Activity Conflicts and Resource Overallocation in Construction Projects: A Modular Heuristic Scheduling Approach with Primavera P6 EPPM Integration
Mitigating Co-Activity Conflicts and Resource Overallocation in Construction Projects: A Modular Heuristic Scheduling Approach with Primavera P6 EPPM Integration Open
This paper proposes a heuristic approach for managing complex construction projects. The tool incorporates with Primavera P6 EPPM and Synchro 4D, enabling proactively clash detection and resolution of spatial conflicts during concurrent ta…
View article: A Modular Heuristic-Based Solution for Large-Scale Outage Management in Nuclear Power Plants
A Modular Heuristic-Based Solution for Large-Scale Outage Management in Nuclear Power Plants Open
The Resource Constrained Project Scheduling Problem (RCPSP) is a prominent combinatorial optimization problem in academia. It involves scheduling project activities while considering constraints arising from logical relationships between t…
View article: CurieLM: Enhancing Large Language Models for Nuclear Domain Applications
CurieLM: Enhancing Large Language Models for Nuclear Domain Applications Open
Large Language Models (LLMs), such as the Mistral model, have exhibited remarkable performance across diverse tasks. However, their efficacy in nuclear applications remains constrained by a lack of domain-specific knowledge and an inabilit…
View article: Deep Learning based Crack Growth Analysis for Structural Health Monitoring
Deep Learning based Crack Growth Analysis for Structural Health Monitoring Open
This paper presents an ensemble deep learning (DL) based structural health monitoring approach for complex systems. The proposed methodology consists of crack detection and crack growth prediction. An ensemble DL-based image segmentation t…
View article: Model‐based Commissioning, a New Methodological Approach for Commissioning of Nuclear Basic Facilities
Model‐based Commissioning, a New Methodological Approach for Commissioning of Nuclear Basic Facilities Open
This article intents first to formalize commissioning that must be seen as a crucial need and an unavoidable obligation. Second, it aims to introduce a method called COGuiNF (Commissioning Guidelines of Nuclear Facilities) which would allo…
View article: Contribution to Nuclear Safety Demonstration Through System Modelling and Artificial Intelligence
Contribution to Nuclear Safety Demonstration Through System Modelling and Artificial Intelligence Open
Nuclear Power Plant (NPP) engineering projects become increasingly complex. For instance, a nuclear reactor includes more than 50 buildings, 500 km of piping, 500,000 components and 100 million units of data (requirements, reports, schemes…
View article: A Model Based System Commissioning Approach for Nuclear Facilities
A Model Based System Commissioning Approach for Nuclear Facilities Open
Commissioning is considered as a critical phase in the delivery of a Nuclear Facility (NF) as it is the first stage in the authorization of the NF to be exploited. Most of the nuclear projects start to overrun costs during commissioning ma…
View article: Requirements Engineering enabled by Natural Language Processing and Artificial Intelligence for Nuclear Safety Demonstration
Requirements Engineering enabled by Natural Language Processing and Artificial Intelligence for Nuclear Safety Demonstration Open
This article reports on a new method to elaborate and conduct the safety demonstration phase for Nuclear infrastructures in phase with System Engineering principles. More particularly, this method focus on helping and guiding engineers inv…
View article: A contribution to Commissioning as enabler of nuclear infrastructure delivery: Tests and trials program elaboration and management
A contribution to Commissioning as enabler of nuclear infrastructure delivery: Tests and trials program elaboration and management Open
International audience
View article: Ensemble Learning-based Fault Detection in Nuclear Power Plant Screen Cleaners
Ensemble Learning-based Fault Detection in Nuclear Power Plant Screen Cleaners Open
This paper presents a fault detection approach based on feature selection and ensemble machine learning technique for nuclear power plant (NPP) screen cleaner condition monitoring. Firstly, comprehensive set of statistical features are ext…
View article: System architecture modeling of an UWB receiver for wireless sensor network
System architecture modeling of an UWB receiver for wireless sensor network Open
This paper presents a method for system architecture modeling of an IR-UWB (Impulse Radio Ultra WideBand) receiver for sensors networks applications. We expose the way for designing an FPGA (Field Programmable Gate Array) receiver starting…