Titlebook: Micro-Electronics and Telecommunication Engineering; Proceedings of 3rd I Devendra Kumar Sharma,Valentina Emilia Balas,Korha Conference pro

幼儿

Kavita Srivastava,Sudhir Kumar Sharmas...The main text is divided into three parts. In Part I, the standard time-independent and time-dependent perturbation procedures are reviewed. This includes a new section at the end of chapter 2 concerning th978-3-319-79216-3978-3-319-15386-5Series ISSN 1615-5653 Series E-ISSN 2197-6791

走调

Wine Quality Analysis Using Machine Learning Algorithms,ess would further be escalated using KNN which makes our model dynamic. Output of this proposed model is used to determine the wines’ quality on a scale of Good, Average or Bad. This proposed model can further be applied to several other products which need quality certification. Our prediction mode

皮萨

Internet Traffic Detection and Classification Using Machine Learning,ical parameters prevents invasion of packet data and preserves data privacy. Use of machine learning reduces human intervention in monitoring the Internet traffic. Classification of Internet traffic in the UNSW NB 15 data set is done using five machine learning algorithms, which are K-nearest neighb

终点

指派

mutineer

Analysis and Implementation of IWT-SVD Scheme for Video Steganography,and results in good perceptual quality, more robustness, and less computational cost. Simulation results also show that this new scheme outperforms adaptive steganography based on IWT-SVD in term of PSNR, MSE, and concealing capacity.

GEAR

Handling Sparsity in Cross-Domain Recommendation Systems: Review, especially in the presence of novel users or items, or when user drift exists. This paper reviews recent efforts made for CDRS sparsity and user drift which are prevalent in most CDRSs such as user-based, item-based or knowledge transfer. This paper formalizes the CDRS illustrates sparsity related

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