In order to overcome the limitations induced by optimal policy implementation, we also propose two simple, though sub-optimal, DSA algorithms: a Q-learning (QL) based algorithm and a heuristic algorithm. The achieved reward using the latter is shown to be very close to the optimal case and ...
executive environment (OP-TEE) in the Elliptic Curve Cryptography (ECC) implementation of many crypto libraries (like LibTomCrypt) that allows an attacker to recover the Elliptic Curve Digital Signature Algorithm (ECDSA) or Digital Signature Algorithm (DSA) private keys using a side channel attack....
For instance, though the classical formulation for AC model based economic dispatch was first created by Carpentier in 1962 [15], no robust and reliable algorithm has been developed since then to solve the problem in a timely manner due to its non-linearity, non-convexity, and large-scale ...
SS symmetry Article A New Meta-Heuristic Algorithm for Solving the Flexible Dynamic Job-Shop Problem with Parallel Machines Arun Kumar Sangaiah 1 , Mohsen Yaghoubi Suraki 2, Mehdi Sadeghilalimi 3, Seyed Mostafa Bozorgi 4, Ali Asghar Rahmani Hosseinabadi 5 and Jin Wang 6,* 1 School of ...
sensors Article Local Path Planning of Autonomous Vehicle Based on an Improved Heuristic Bi-RRT Algorithm in Dynamic Obstacle Avoidance Environment Xiao Zhang 1, Tong Zhu 2,*, Lei Du 1, Yueqi Hu 3 and Haoxue Liu 1 1 School of Automobile, Chang'an University, Xi'an 710064, China 2 ...
Random forest is the most common algorithm used in the bagging technique. 2.4. Boosting Boosting is a sequential ensemble process [34]. From the original dataset, several subsets are created. Each subsequent model tries to correct the errors of the previous model. A single method is created on...