Drive Horizon: An Artificial Intelligent Approach to Predict Vehicle Speed for Realizing Predictive Powertrain Control

2020 ◽  
Author(s):  
Yashodeep Lonari ◽  
Subrata Kundu ◽  
Mitesh Agrawal ◽  
Sunny Bellary
Keyword(s):  
Vehicle Speed ◽  
Artificial Intelligent ◽  
Powertrain Control ◽  
Intelligent Approach

Optimal Design of Plasticizing Screw Using Artificial Intelligent Approach

2020 ◽  
Vol 1500 ◽  
pp. 012022
Author(s):  
Min-Wen Wang ◽  
Fatahul Arifin ◽  
Jhen-Wei Kuo ◽  
Tzong-Horng Dzwo
Keyword(s):  
Optimal Design ◽  
Artificial Intelligent ◽  
Intelligent Approach

scholarly journals A Review: Artificial Intelligent Approach for Enhancing Adaptability in an Adaptive E-Learning Environment

2021 ◽  
Vol 10 (4) ◽  
pp. 37-42
Author(s):  
M.P.L. Perera
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Decision Making ◽  
Fuzzy Logic ◽  
Artificial Intelligent ◽  
Human Decision ◽  
Decision Making Processes ◽  
E Learning ◽  
Intelligent Approach ◽  
Learning Frameworks

Adaptive e-learning the aim is to fill the gap between the pupil and the educator by discussing the needs and skills of individual learners. Artificial intelligence strategies that have the potential to simulate human decision-making processes are important around adaptive e-Learning. This paper explores the Artificial techniques; Fuzzy Logic, Neural Networks, Bayesian Networks and Genetic Algorithms, highlighting their contributions to the notion of the adaptability in the sense of Adaptive E-learning. The implementation of Artificial Neural Networks to resolve problems in the current Adaptive e-learning frameworks have been established.

Crime Detection with DCT and Artificial Intelligent Approach

2013 ◽  
Vol 816-817 ◽  
pp. 610-615 ◽  
Author(s):  
Ahmad Kadri Junoh ◽  
Muhammad Naufal Mansor ◽  
Alezar Mat Ya'acob ◽  
Farah Adibah Adnan ◽  
Syafawati Ab. Saad ◽  
...  
Keyword(s):  
Public Policy ◽  
Support Vector Machine ◽  
Nearest Neighbor ◽  
Support Vector ◽  
K Nearest Neighbor ◽  
Policy Studies ◽  
Artificial Intelligent ◽  
Crime Detection ◽  
Intelligent Approach ◽  
Comprehensive Study

Crime rate in Malaysia is almost in awareness stage. The centre for Public Policy Studies Malaysia reports that the ratio of police to population is 3.6 officers to 1,000 citizens in Malaysia. This lack of manpower sources ratios alone are not a comprehensive afford of crime fighting capabilities. Thus, dealing with these circumstances, we present a comprehensive study to determine bandit behavior with Discrete Cosine Transform (DCT), Support vector machine (SVM) and k Nearest Neighbor (k-NN) Classifier. This system provided a good justification as a monitoring supplementary tool for the Malaysian police arm forced.

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