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Multimodal Route Planning Integrating Soft Mobility: A Real-World Case Study for Student Mobility

Soft and active mobility (SAM) integration into multimodal route planning is a critical innovation for advanc ing sustainable transportation. This study explores the inclusion of shared (SSAM) and personal (PSAM) soft and active mobility modes within public transport systems. Leveraging a time-expanded model, the proposed approach optimizes route planning by introducing reliability as a novel […]
A Secure Architecture for Digital Twins in Resource-Constrained Industrial Systems

Digital Twins (DT) are transforming the Industrial Internet of Things (IIoT) by providing virtual replicas of physical assets, enabling enhanced predictive analytics and data-driven decision-making. However, as Industry 5.0 integrates DT with generative AI technologies via APIs and tokens, security risks increase. Outdated modeling tools, coupled with vulnerabilities in resource-constrained environments, such as limited computational […]
Data generation and deep neural network predictions for aged mechanical properties

The aim of this work is the data generation of aged mechanical properties following the Arrhenius equation and large deformation theory for a transversely isotropic bio-based polyurethane foam, and the application of this dataset in the training process of different deep neural network architectures to evaluate their capacity to predict the full stress–strain behavior of […]
Ingénieur de Recherche Deep Learning pour la détection d’humains et de véhicules sur des terrains extérieurs H/F

Ingénieur de recherche/post doctorant LINEACT – CDD à temps plein – Rouen (Saint-Étienne-du-Rouvray)
NETLOGOPY: UNLOCKING ADVANCED SIMULATION AND INTEGRATION FOR NETLOGO USING PYTHON

NetLogo is widely recognized as one of the most popular software tools for agent-based simulation. However, it has notable limitations, particularly the lack of advanced libraries in specialized areas such as optimization, artificial intelligence (AI), and mechanical or electrical modeling. On the other hand, Python is a feature-rich programming language that is increasingly used in […]
A memetic method for solving portfolio optimization problem under cardinality, quantity, and pre-assignment constraints

In industrial finance, portfolio selection has emerged as a critical challenge that has received considerable attention over the past few decades. The standard approach to this problem is the Markowitz mean–variance model, which seeks to balance two inherently conflicting objectives: maximizing returns and minimizing risk. This study investigates portfolio optimization under realistic constraints, including cardinality, […]
Stage développeur Python (H-F)

Stage LINEACT – Stage à temps plein – Rouen (Saint-Étienne-du-Rouvray)
Enseignant chercheur sur la Gestion des systèmes de mobilités multimodaux H/F

Enseignant chercheur LINEACT – CDI à temps plein – Paris (La Défense — Nanterre) (Puteaux)
Ingénieur développement Python

Ingénieur de recherche/post doctorant LINEACT – CDD à temps plein – Rouen (Saint-Étienne-du-Rouvray)
Integrating Centrality Measures in Federated Learning-Based Intrusion Detection Systems

Network Intrusion Detection Systems (NIDS) are mechanisms designed to improve security by monitoring networks for signs of potential intrusions. While data-driven deep learningbased NIDSs have been popular for their superior performance, they are limited by their reliance on large amounts of data, often processed in a centralized manner. Federated Learning (FL) has thus emerged as […]
A Novel Federated Learning Client Selection With Anomaly Detection Approach for IoT Systems

Federated Learning (FL) is emerging as a crucial approach to enhance data privacy and security, particularly in smart buildings and Internet of Things (IoT) ecosystems. By distributing learning across multiple clients, FL minimizes the need for centralized data transfers. This decentralized approach allows clients to collaboratively improve machine learning models without sharing raw data, and […]
Enseignant chercheur en système réseaux et cybersécurité H/F

Enseignant chercheur LINEACT – CDI à temps plein – Montpellier (Mauguio)

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