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.

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

Chinese Building Energy-Efficient Design Datasets

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.

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

Memory-efficient conversion of depth images into Gaussian Mixture Models

An energy-efficient TinyML fall detector that runs entirely on an Arduino Nano 33 BLE Sense. A cascaded pipeline keeps the CNN idle during everyday motion and runs it only on likely fall events, cutting per-event energy by about 98 percent versus an always-on model.

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

Advanced IoT environmental monitoring system using ESP8266 microcontroller and DHT22 sensor for temperature/humidity tracking with intelligent data transmission and energy-efficient deep sleep modes.

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

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