Titlebook: International Joint Conference: 12th International Conference on Computational Intelligence in Secur; Seville, Spain, May Francisco Martín

大洪水

Anomaly Detection on Patients Undergoing General Anesthesiad models to predict the state of the patient. The appearance of any anomaly during the anesthetic process may lead, for instance, to incorrect drug administration. This could produce undesirable side effects that can affect the patient postoperative and also reduce the safety of the patient in the o

ineptitude

sundowning

adequate-intake

Perturbing Convolutional Feature Maps with Histogram of Oriented Gradients for Face Liveness Detectiases, like OULU-NPU, CASIA-FASD and Replay-Attack, in both intra-database and cross-database scenarios. Experimental results indicate that the proposed framework perform significantly better compare to previous state-of-the-art approaches in both intra-database and cross-database face anti-spoofing scenarios.

立即

Efficient Verification of Security Protocols Time Properties Using SMT Solverscially constructed time conditions. These are checked by a quantifier-free SMT encoding and SMT solver using BMC algorithms. In our work, we have also implemented the proposed method and evaluated it for four, well-known security protocols. We also compared our new SMT-based technique with the corresponding SAT-based approach.

怒目而視

Detonate

十字架

CHURL

Bereavement