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“Tis an art to be in the right place at the right time. But, remember, I am the artist, and I put you in my painting for a reason.” When a mysterious stranger on Twitter summons Mitra, Siddhart, Priya, Radhika and Arvind to meet up at a ‘haunted’ location every Saturday night, they have no idea what they’re getting into or how drastically their lives are going to change. The promise of adventure drives the thrill-seekers to take up the challenge, but soon this paranormal quest starts to play with their psyche and things take several chilling turns. As the lines between reality and surreal blur, the five find themselves at the centre of a two-decade-old unsolved murder mystery of a young Carnatic singer and are plunged into the dark and sinister world of The Hauntup, from which there is no escape—unless they do exactly what the stranger asks!
Energy, Agriculture and Healthcare are key areas which address the development of the nation. Technology related to automation, computing, data analysis, sensor, AI/ML, and IoT drives growth in these sectors. The conference provided a single and integrated platform for researchers working in these areas with a focus on the use of IT tools. It specifically focused on research in energy, agriculture and healthcare. It was organized in hybrid mode, which encouraged researchers all over the world to participate and interact with peer researchers.
This book explores new applications in the field of science and technology for healthcare systems. The main focus of this book is to devise smart, efficient and robust solutions for the health care sector to serve the major population of rural areas. Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions. It also helps the readers at various levels of knowledge to further enhance their understanding for new tools and smart solutions.
This volume contains the proceedings of the third international conference on Pattern Recognition and Machine Intelligence (PReMI 2009) which was held at the Indian Institute of Technology, New Delhi, India, during December 16–20, 2009. This was the third conference in the series. The first two conferences were held in December at the Indian Statistical Institute, Kolkata in 2005 and 2007. PReMI has become a premier conference in India presenting state-of-art research findings in the areas of machine intelligence and pattern recognition. The conference is also successful in encouraging academic and industrial interaction, and in prom- ing collaborative research and developmental activities...
‘Engineering padicha nalla future – If you study engineering, you will have a good future.’ This is a claim often repeated to children and teenagers by parents and teachers in many parts of India. But only those who have gone through an engineering college life know that it’s not completely true. There is a difference between calling yourself as an engineering graduate and an engineer. India produces millions of engineering graduates like you and me but only very few of us are actual engineers. Many of us just graduate with an engineering degree, with an artistic dream in mind. What do you think is the difference between engineers in many countries around the world and engineers from...
This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis.