Multi-objective Flexible Job Shop Scheduling Problem with transportation constraint solved with NSGA-II, VNS and improved initialisation

Source code for the paper "Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks", this paper is pulished in ICC 2024.

Prediciton of loads in data centers using Machine Learning (ML) Models

Adaptive Sparse Training (AST): 92.1% ImageNet-100 accuracy with 61% energy savings and zero degradation. Production-ready implementations for energy-efficient deep learning with ResNet50 and modern architectures.

SM² Coin core library

Auto Solar Street Light Controller – LDR and IR-based energy-efficient lighting system with comparator and relay logic (2018-19)

Rewind — Premier SDK de calcul nativement reversible pour Rust. Debugger temporel, portes Toffoli, types lineaires. Information is Sacred.

A novel research framework combining Hierarchical RL (A2C + PPO), Meta-Learning (Reptile), and SHAP Explainability for adaptive, interpretable, energy-efficient cloud scheduling — trained on real Google and Alibaba cluster traces.

Chinese Building Energy-Efficient Design Datasets

Adaptive screen brightness & sound auto-control for Linux and Windows — smooth transitions, ambient-aware, zero-touch

Escaping the SaaS trap: Building an independent, energy-efficient home server on refurbished hardware.

Memory-efficient conversion of depth images into Gaussian Mixture Models

Hechler, deLange, Riedl (2024). Confidence saves energy. Replication code and data.

Energy-Efficient CPU Scheduling System with DVFS, EDF, thermal-aware task migration, and real-time visualization using Python and React.

Novel blockchain consensus mechanism replacing energy-intensive mining with productive federated learning. Miners collaborate to train AI models, with winners selected through democratic voting.

Energy Efficient CPU Scheduling Algorithm in Operating System

AER Decentralized Unstoppable Cryptocurrency

Energy-efficient CPU scheduling algorithm to optimize performance and reduce power consumption in operating systems.

Energy-Efficient SNN Framework for Tamper-Resilient Wildlife Camera-Trap Monitoring