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.
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.
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.
Typed FunctionGraph IR for heterogeneous inference - CPU + Apple Silicon Metal + WGPU + AMX. Energy-metered. 99 crates of substrate.
Memory-efficient conversion of depth images into Gaussian Mixture Models
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
Energy-Efficient CPU Scheduling System with DVFS, EDF, thermal-aware task migration, and real-time visualization using Python and React.
Hechler, deLange, Riedl (2024). Confidence saves energy. Replication code and data.
Energy-Efficient SNN Framework for Tamper-Resilient Wildlife Camera-Trap Monitoring
Energy-efficient CPU scheduling algorithm to optimize performance and reduce power consumption in operating systems.
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