Multi-objective Flexible Job Shop Scheduling Problem with transportation constraint solved with NSGA-II, VNS and improved initialisation
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Updated
Aug 7, 2024 - Python
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.
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
MATLAB simulation and implementation of an H∞/LMI-based energy-aware consensus controller for multi-agent systems.
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.
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.
Bio-inspired sparse spiking neural network: near-lossless accuracy at 2 orders of magnitude lower energy, built from real Drosophila connectome statistical laws
TachyonSort is the fast constrained unstable sort.
Chinese Building Energy-Efficient Design Datasets
NeutrinoSort is the fast constrained stable sort.
Hierarchical multi-edge federated learning framework with adaptive client selection for privacy-preserving and energy-efficient healthcare.
Hechler, deLange, Riedl (2024). Confidence saves energy. Replication code and data.
Memory-efficient conversion of depth images into Gaussian Mixture Models
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