Autonomous vehicles represent a revolutionary advancement in transportation technology, relying heavily on sophisticated simulations for development and testing. This abstract presents an approach to autonomous vehicle simulation utilizing the Udacity Self-Driving Car Nanodegree platform coupled with Convolutional Neural Networks (CNNs) perception tasks. The environment provided by offers realistic representation of urban driving scenarios, allowing developers test train algorithms virtual...

It might be difficult to locate movies that suit personal tastes in the era of digital media. A state-of-the-art internet tool called CineMatch tackles this problem by providing individualized movie suggestions using sophisticated algorithmic analysis. With use both user input and machine learning techniques, offers a distinctive, user-focused movie-selection experience. The complex recommendation engine at heart CineMatch's technology combines filtering based on content, is collaborative,...

The present review delves into the development and effectiveness of machine learning (ML) methods in context cybersecurity threat identification. More sophisticated adaptable solutions are required as cyber threats increase number complexity beyond what can be achieved with standard security techniques. This study provides a thorough assessment several techniques that have been used to identify categorize risks. These algorithms include supervised, unsupervised, deep approaches. We assess...

The world is moving towards new and innovative approaches for making human life much more simpler easier by automating every task that requires effort. IoT has been proved to be a boon in this direction. currently being used many sectors, automobile one of them. Need smart car not various initiatives research development going on implement sector provide better vehicular service consumers. A systematic literature review the major focus study. To undertake review, studies were taken into...

With the amalgamation of information technology capabilities, fourth industrial revolution transforms processes to become more connected and predictable. The response changing requirements (IR4.0) is Education 4.0, which will enable harness potential these digital technologies. In order strengthen student centric learning process in Engineering it imperative provide abundant skill development opportunities avenues. This paper presents relevance professional activities. It highlights...

This paper shows a study on the development of predictive model for house prices. The uses machine learning techniques to analyze large dataset housing market data, including demographic information, real estate trends, and economic indicators. goal is accurately predict sale prices given its features traits. To achieve this target, employs feature selection engineering methods determine most significant predictors [1]. results are evaluated using standard metrics, sucha as root mean squared...

Autonomous Vehicles are becoming new trend in automobile industry as more and manufacturers trying to develop self-driving vehicles. This decade will mark the shift from people driving cars their destination. As many level 4 5 autonomous vehicles under development 2 3 available market, it is pertinent investigate what how much know understand about this technology perception towards using India. The aim of study gain an understanding consumer perspective A Hybrid model based on unified...