Different deep learning algorithms have been used to classify the environment state into three categories. Each category represents an action or move step for the robot. Experiments show that the approaches used work efficiently and can solve the maze. So, it can be used in some areas where robots need to solve ...
A set of continuous state-action space-based deep reinforcement learning algorithms are used for the path following of a ship in calm water and waves. The mathematical model of a KVLCC2 tanker represents the ship dynamics. The mathematical model includes the hull force, rudder force, propulsion...
In this work, we give a summary of recent automated MS diagnosis approaches that combine MRI neuroimaging modalities with ML and DL algorithms. Segmentation and classification are two of the main categories into which AI techniques for MS medical diagnosis can be roughly divided, where each one ...
In the second phase of our analysis, we focus on specific subsets of the overall dataset to evaluate the performance of our algorithms. As mentioned in Section 2.2, three regions are selected for studying the performance behaviors of DL models when the densities of monitoring stations, geographic...
the authors address common barriers in PAP smear analysis such as scant data and poor image quality. This framework featured ConvNeXtv2 and GRN-based MLP blocks and achieved 99.02% accuracy using the SIPaKMeD dataset. Another study21elucidates that an ensemble of machine learning algorithms such as...
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques Article Open access 21 April 2023 Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms Article ...
0 링크 번역 편집:Adam Danz2021년 2월 12일 MATLAB Online에서 열기 hello guys i have a problem when i develop this code when i want to do 400 round and every round i want to get unique random number for choosing cordinat in my project. can anyone help me, than...
The chatbot goes beyond basic algorithms by incorporating the expertise of Levi’s stylists. It considers factors like leg shape, rise, and stretch to provide accurate suggestions. This helps customers navigate the vast array of options and find jeans that fit their needs and preferences, ultimately...
However, the research about a comparison of different machine learning methods is rare; particularly, a comparison of the NN, Extreme Gradient Boosting (XGBoost3), and Light Gradient Boosting Machine (LightGBM4) lacks. A study about the latter two machine learning algorithms in petroleum engineering...
Deep learning algorithms have shown exceptional effectiveness in a wide range of supervised and unsupervised learning tasks in a variety of fields, including image processing, computer vision, natural language processing, and speech or voice processing. In this paper, a comprehensive analysis is conducte...