The growing interest in wind power technology is motivating researchers and decision-
makers to focus on maximizing wind energy extraction and enhancing the quality of power …

The creating centrality of sentiment assessment agrees with the advancement of the
electronic stage, for instance, cyber-vulnerability reviews, gathering discussions for cyber …

Healthcare institutions around the world become an organised and user-centred structures.
Managing vast volumes of data, such as IoT device data or medical records of each person …

To ensure the full benefits from wind generation systems, an effective maximum power point
tracking (MPPT) technique should be implemented. In this article, an adaptive fuzzy logic …

This chapter presents and compares results of simple and efficient deep learning models to
perform sentiment analysis and text classification. Natural language processing is a massive …

Due to the potentially catastrophic effects in the event of an attack, security-enabled design
and algorithms are required to protect automated applications and instruments based on …

Robots and self-ruling frameworks by and large are set to endure comparative online
protection issues generated at live environment of Internet world. The weak design and …

In this work, an algorithm of machine learning for self-driving car using udacity and unity self-
driving car simulation software has been presented. Using the software, the car is driven on …

Abstract Analysis of tweets or microblogs posted by users of a popular microblogging
service, Twitter, using natural language processing is a very powerful tool to understand …

The improvement of intelligent surveillance systems is a functioning examination region. In
this specific situation, mobile furthermore, multi-useful robots are commonly received as …