Titlebook: International Conference on Artificial Intelligence and Sustainable Engineering; Select Proceedings o Goutam Sanyal,Carlos M. Travieso-Gonz

Crater

Deep Multi-agent Reinforcement Learning for Tag Game,-agent setting is still a complex problem. This work interprets how individual agents in a Tag Game simulation develop cooperative and competitive abilities by mere manipulation of their reward function. Also, the paper compares the behavior of agents under various environmental scenarios from single to multi-agent cases.

Traumatic-Grief

An IoT-Based Approach in Automatic Garbage Segregation to Develop an Intelligent Garbage Segregatorworkforce and money for providing daily wages to the workers. In this paper, a brief study of smart bins has been done. A smart device has been proposed to segregate garbage using an IoT-based approach. The main aim of the project is segregation of the waste into biodegradable and non-biodegradable.

精确

Game Theory-Based Proof of Stake Mining in Blockchain for Sustainable Energy Efficiency,ain which may turn in increase the participation of more loyal miners and also increase the mining rate of the blocks. The technique proof of stake-based mining approach using game theory is used for effective sustainable energy efficiency.

onlooker

Path Planning of E-puck Mobile Robots Using Braitenberg Algorithm,obot and the destination point. The robot’s efficiency has been tested and simulated at webots software in different environments. Some problems were identified during the simulation, but it has been effectively resolved. The paths followed by the robot during the simulations are presented.

可行

Deep Neural Networks on Acoustic Emission in Stress Corrosion Cracking,(UTM). Automated strand failure inspection process using deep neural networks (DNNs) in which acoustic signals are classified as crack or no-crack. The proposed neural network model showed a more precise qualitative prediction while training and testing.

connoisseur

EWER

A Critical Analysis of VQA Models and Datasets,ation metrics for these datasets and limitations of the major datasets are discussed. Also, detailed failure cases of these models are also presented. Also, we present some future directions to achieve higher accuracy for answer generation.

Explicate

蔓藤图饰

Optimal Controller Design for Buck Converter Fed PMBLDC Motor Using Emperor Penguin Optimization (Emic response and speed regulation for motor. We proposed the PI control optimized by EPO algorithm for the PMBLDC motor powered by buck drive as two-object minimization for obtain best outcomes. Problem is considered as multi-objective optimization which is resolved using the weighted sum technique.

与野兽博斗者

Bhaskar Jyoti Gogoi,Prases K. Mohantywith human studies on tolerability and therapeutic effects. Special studies according to various populations and different therapeutic indications are necessary. These items are covered in the third volume: „Me978-3-540-89891-7