Titlebook: Intelligence Enabled Research; DoSIER 2019 Siddhartha Bhattacharyya,Sushmita Mitra,Paramartha Book 2020 Springer Nature Singapore Pte Ltd.

无力向前

书目名称Intelligence Enabled Research影响因子(影响力)




书目名称Intelligence Enabled Research影响因子(影响力)学科排名




书目名称Intelligence Enabled Research网络公开度




书目名称Intelligence Enabled Research网络公开度学科排名




书目名称Intelligence Enabled Research被引频次




书目名称Intelligence Enabled Research被引频次学科排名




书目名称Intelligence Enabled Research年度引用




书目名称Intelligence Enabled Research年度引用学科排名




书目名称Intelligence Enabled Research读者反馈




书目名称Intelligence Enabled Research读者反馈学科排名

Promotion

Multi-class Image Segmentation Using Theory of Weak String Energy and Fuzzy Set,e. The segments are generated from an image without any prior knowledge about the total count of segments. The performance of the method is verified experimentally using different datasets and it is found to be quite satisfactory compared to the state-of-the-art methods.

昏睡中

Stabilization of Nonlinear Optimum Control Using ASRE Method,r in nonlinear system with modified optimal input. In this formation, the characteristic of the positive definite controller matrix is controlled by differentiating it with respect to time. The stabilization of the output response and update optimum input is represented by a quadratic regulator based on this controller matrix.

Intuitive

枯萎将要

Project

Implications of Nonlinear Control Over Traditional Control for Alleviating Power System Stability P as large disturbances. Based on the above requirements, authors in this research aim to investigate the dynamic instability problem of a power system and its alleviation through deployment of nonlinear controller.

才能

Towards a Framework for Performance Testing of Metaheuristics,s well as by comparative testing with other State-of-the-art methods. However, performance guarantees for Metaheuristics are not provided, which limits its commercial potential. An attempt has been made in this paper to propose a framework for Performance Testing of Metaheuristics.

ellagic-acid

RUPT

Vehicle Pollution Detection from Images Using Deep Learning,n be used for notification, pollution control, and surveillance in future as well. Our deep learning-based method involves Inception-v3, and it can work under any weather and light conditions with varying environments.

壮观的游行

Towards Sustainable Indian Smart Cities: An AHP Study,ysis reveals that resource circulation, recycling rate, health and safety, and job opportunity are the most sensitive parameters at different levels of sensitivity. The results will be helpful to the policy-makers and the researchers in developing sustainable smart cities in India.