Computer network security evaluation model based on neural network

[1]  Marc A. Rosen,et al.  Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage , 2018, Energy.

[2]  Alan Bundy,et al.  Preparing for the future of Artificial Intelligence , 2016, AI & SOCIETY.

[3]  Xiaohui Yuan,et al.  An energy efficient encryption method for secure dynamic WSN , 2016, Secur. Commun. Networks.

[4]  Sarvapali D. Ramchurn,et al.  Managing Electric Vehicles in the Smart Grid Using Artificial Intelligence: A Survey , 2015, IEEE Transactions on Intelligent Transportation Systems.

[5]  João Miguel da Costa Sousa,et al.  Reducing unnecessary lab testing in the ICU with artificial intelligence , 2013, Int. J. Medical Informatics.

[6]  W. R. Ford,et al.  Real conversations with artificial intelligence: A comparison between human-human online conversations and human-chatbot conversations , 2015, Comput. Hum. Behav..

[7]  Mohamed Elhoseny,et al.  An Efficient Optimal Key Based Chaos Function for Medical Image Security , 2018, IEEE Access.

[8]  Mohit Kumar,et al.  Analytical fuzzy approach to biological data analysis , 2017, Saudi journal of biological sciences.

[9]  Michael P. Wellman,et al.  Economic reasoning and artificial intelligence , 2015, Science.

[10]  Shikha Gupta,et al.  Predicting acute aquatic toxicity of structurally diverse chemicals in fish using artificial intelligence approaches. , 2013, Ecotoxicology and environmental safety.

[11]  Kevin Waugh,et al.  DeepStack: Expert-level artificial intelligence in heads-up no-limit poker , 2017, Science.

[12]  Mohamed Elhoseny,et al.  A secure data routing schema for WSN using Elliptic Curve Cryptography and homomorphic encryption , 2016, J. King Saud Univ. Comput. Inf. Sci..

[13]  Kevin Waugh,et al.  DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker , 2017, ArXiv.

[14]  Mohamed Elhoseny,et al.  Hybrid optimization with cryptography encryption for medical image security in Internet of Things , 2018, Neural Computing and Applications.

[15]  Radu State,et al.  The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey , 2016, Int. J. Comput. Intell. Syst..

[16]  Kerstin Thurow,et al.  A Context-Aware mHealth System for Online Physiological Monitoring in Remote Healthcare , 2015, Int. J. Comput. Commun. Control.

[17]  Roman V. Yampolskiy,et al.  Artificial Intelligence Safety Engineering: Why Machine Ethics Is a Wrong Approach , 2011, PT-AI.