Titlebook: Computational Advancement in Communication, Circuits and Systems; Proceedings of 3rd I M. Mitra,Mita Nasipuri,Maitreyi Ray Kanjilal Confere

FLAT

Word Boundary Detection Using Convolutional Neural Network (CNN) and Decision Tree Method,detection using two different approaches: (1) Convolutional Neural Network and (2) Decision Tree Method. CNN is efficiently used in areas like face recognition, object detection, image classification, etc. whereas a decision tree is broadly used in decision analysis. This study can further help with speech recognition.

會議

sparse

敲詐

https://doi.org/10.1007/978-3-662-48357-2rtainment and games, safety and security and in biomedical. Finally, we will discuss the current restrictions of BCI technology, obstacles to its widespread clinical application, and expectations for the future.

好色

Dynamic Response of Circuit Card Systems,e propose a human face detection method for colored as well as gray images. Also, we cropped the particular detected facial image and extracting and showing the individual cropped image if the input image contains many faces.

photopsia

Structural Analysis with Finite Elementsnew concept of sub-block has been introduced to efficiently utilize the limited input capability of the designed modules. The proposed design involves less hardware complexity, silicon area, and path delay compared to existing works. Simulation results and performance metrics for all the three CBNS circuits have been included.

通情達理

Brain Computer Interface: A Review,rtainment and games, safety and security and in biomedical. Finally, we will discuss the current restrictions of BCI technology, obstacles to its widespread clinical application, and expectations for the future.

Urgency

,Face Detection and Extraction Using Viola–Jones Algorithm,e propose a human face detection method for colored as well as gray images. Also, we cropped the particular detected facial image and extracting and showing the individual cropped image if the input image contains many faces.

迎合

向下

Proper Choice of a Machine Learning Algorithm for Breast Cancer Prediction,on the dataset. After the reduction of the features, the same methods are applied again to compare performance based on their accuracy score. It is found that all the algorithms perform very well with more than 93% accuracy score; among these Logistic Regression, Support Vector Classification and Mu