Python libraries for cybersecurity help automate threat detection, network monitoring, and vulnerability analysis. Tools like Scapy, Nmap, and Requests enable penetration testing and network security ...
Abstract: In recent years, deep-learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...
AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...
This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...
incTNP tnp/models/castnp.py experiments/configs/models/inctnp.yml incTNP-Seq tnp/models/incTNPBatched.py experiments/configs/models/inctnpSeq.yml Due to file size ...
Abstract: This paper has demonstrated a deep reinforcement learning-based framework of power flow optimization on smart grids based on Proximal Policy Optimization (PPO) algorithm in the Grid2Op ...
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