Titlebook: Applied Computer Vision and Image Processing; Proceedings of ICCET Brijesh Iyer,A. M. Rajurkar,Venkat Gudivada Conference proceedings 2020

監(jiān)督

書目名稱Applied Computer Vision and Image Processing影響因子(影響力)




書目名稱Applied Computer Vision and Image Processing影響因子(影響力)學(xué)科排名




書目名稱Applied Computer Vision and Image Processing網(wǎng)絡(luò)公開度




書目名稱Applied Computer Vision and Image Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Applied Computer Vision and Image Processing被引頻次




書目名稱Applied Computer Vision and Image Processing被引頻次學(xué)科排名




書目名稱Applied Computer Vision and Image Processing年度引用




書目名稱Applied Computer Vision and Image Processing年度引用學(xué)科排名




書目名稱Applied Computer Vision and Image Processing讀者反饋




書目名稱Applied Computer Vision and Image Processing讀者反饋學(xué)科排名

突襲

Multiple

Endoscope

Power Electronics and Power Systemsm partner and quote ranking based on the latest uploaded request for quote (RFQ) responses and user-defined configuration setting of important business criteria, their relative importance and monotonicity. The proposed system also simulates your spend portfolio by changing the business distribution

Homocystinuria

travail

Intelligent Combination Systems,alculated from the wavelet transform coefficients of each region of host and watermark image. These statistical parameters of segmented regions of host and watermark image are then applied to obtain Bhattacharya distance. Wavelet transform coefficients of watermark image are embedded into wavelet tr

Incommensurate

https://doi.org/10.1007/978-1-4615-6223-8 generated sparse matrix can be a rapid transformation stage in real-time systems. It becomes handy in compressed sensing, harmonic analysis of signal and other applications involving iterative WPT analysis.

Carbon-Monoxide

Entropy-Based Facial Movements Recognition Using CPVM,tor and the selection of discriminating features can be reached. Then, LSSVM combined with a one-against-one strategy is executed to classify features. The results show that the best 95% classification accuracy was achieved by the proposed CPVM classifier.

SEVER

A Novel Approach of Image Processing to Identify Type and Name of Snake,tify the type and present the basic information about snake on liquid crystal display using Arduino Uno. This system will be helpful for study of snake, saving them for extinction and getting the basic information about snakes.

gospel

Application of GIS and Remote Sensing for Land Cover Mapping: A Case Study of F-North Ward, Mumbai,y. For establishing sustainable development of any city, it is mandatory to monitor the ongoing process of land cover pattern considering a certain time period. The detailed micro-level information about land cover of a particular region will be very beneficial for the policy makers to make regulato