...Zhaohui Xia; Shinan Zhang; Jianli Liu; Tao Nie; Zhou Huang; Guizhong Xie Purpose This paper aims to overcome the dataset dependency limitations in conventional machine learning isogeometric topology optimization (ITO) by developing a convolutional neural network (CNN)-integrated framework...

... in electric vehicles with a convolutional neural network (CNN). Design/methodology/approach In this study, the changing resistance parameters of the asynchronous motor were modeled, and the efficiency was estimated depending on the change of stator resistance. The system was labeled as efficient...

... on these datasets. The various challenges involved in the domain of violence detection from videos are discussed in Section 4 and future directions for research are detailed in Section 5 . Hemalatha Munusamy can be contacted at: hemalatham.ch@gmail.com CNN RNN LSTM Violence detection...

... industry. Therefore, the proposed model which is practically feasible and easy to implement could be utilized in such industries. Originality/value This research examines the performance of proposed CNN models for selected optimizer and learning rates for the grading of jujube maturity into four...