Mohammad Muzammil Khan

Jamia Hamdard · Department of Computer Science

This paper presents four types of filtering techniques that have been used in the recommender systems (RS). The techniques which have been taken into considerations for the study are collaborative filtering, content-based filtering, demographic filtering and knowledge-based filtering. Further, we have compared them with each other on the basis of i...

The text-to-speech and speech-to-text functionalities have become an integral part of our lives in this digital era. This paper proposes a system that provides a way to generate audio from text and listen to the user’s microphone and convert speech-to-text. This system shall be implemented with various user-friendly features. The target audience of...

*in partial fulfilment for the award of the degree of Bachelor of Computer Applications* This research proposes a classification of recommender systems based upon the filtering techniques used for refining the recommendations. The aim is to explore different types of filtering techniques and ideas and use them to classify the recommender systems w...

Internet of Things (IoT) devices are growing to be more than 20 billion by the end of 2020. IoT devices were evolved from wireless sensor networks (WSNs). IoT devices are applicable in numerous scientific fields and hence becoming a universal application for every need. Industry 4.0 is a result of the ever-growing IoT network. In IoT, sensor nodes...

The emergence of social network site has attracted many users across the world to share their feeling, news, achievements and personal thoughts over several platforms. The recent crisis due to worldwide lockdown amid COVID 19 has shown how these online social platforms have grown stronger and turned up as the major source of connection among people...

The popularity of the online media-driven social network relation is proven in today's digital era. The many challenges that these emergence has created include a huge growing network of social relations, and the large amount of data which is continuously been generated via the different platform of social networking sites, viz. Facebook, Twitter,...

The need for a comprehensive study to explore various aspects of online social media has been instigated by many researchers. This paper gives an insight into the social platform, Twitter. In this present work, we have illustrated stepwise procedure for crawling the data and discuss the key issues related to extracting associated features that can...