Abhinav Kumar – författare

This book presents the cutting-edge techniques of social network analytics, focusing on both the positive and negative aspects of social media. While platforms like X, Facebook, and LinkedIn serve as powerful tools for product promotion and crisis management, they also present challenges such as the spread of misinformation, cyberbullying, and hateful content. This book explores these dimensions while highlighting the advancements in social media analytics, specifically through the lens of emerging technologies like artificial intelligence, machine learning, and deep learning. This book is intended for data engineers, researchers, practitioners, and students in the fields of data science, social computing, and artificial intelligence.This book Explores state-of-the-art deep learning methodologies tailored for social network analysis, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Graph Neural Networks (GNNs) to uncover hidden patterns and trends within social media data. Examines the application of large language models, such as GPT (Generative Pre-trained Transformer), in analysing and generating text-based content. Readers will gain practical insights into using these models for content generation, summarisation, and classification tasks. Provides detailed coverage of sentiment analysis techniques, enabling readers to extract valuable insights from user-generated content, helping organisations better understand public opinion. Explores methodologies for detecting communities within social networks, uncovering hidden structures, relationships, and influential nodes or communities. Offers insights into predicting user behaviour on social media platforms, including engagement, preferences, and click-through rates, equipping readers with tools to drive informed decision-making.

This book presents the cutting-edge techniques of social network analytics, focusing on both the positive and negative aspects of social media. While platforms like X, Facebook, and LinkedIn serve as powerful tools for product promotion and crisis management, they also present challenges such as the spread of misinformation, cyberbullying, and hateful content. This book explores these dimensions while highlighting the advancements in social media analytics, specifically through the lens of emerging technologies like artificial intelligence, machine learning, and deep learning. This book is intended for data engineers, researchers, practitioners, and students in the fields of data science, social computing, and artificial intelligence.This book Explores state-of-the-art deep learning methodologies tailored for social network analysis, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Graph Neural Networks (GNNs) to uncover hidden patterns and trends within social media data. Examines the application of large language models, such as GPT (Generative Pre-trained Transformer), in analysing and generating text-based content. Readers will gain practical insights into using these models for content generation, summarisation, and classification tasks. Provides detailed coverage of sentiment analysis techniques, enabling readers to extract valuable insights from user-generated content, helping organisations better understand public opinion. Explores methodologies for detecting communities within social networks, uncovering hidden structures, relationships, and influential nodes or communities. Offers insights into predicting user behaviour on social media platforms, including engagement, preferences, and click-through rates, equipping readers with tools to drive informed decision-making.

This book constitutes the refereed proceedings of the 10th International Conference on Communication Systems and Networks, COMSNETS 2018, held in Banaglore, India, in January 2018.The 12 revised full papers presented in this book were carefully reviewed and selected from 134 submissions. They cover various topics in networking and communications systems.

This book constitutes the refereed proceedings of the 10th International Conference on Communication Systems and Networks, COMSNETS 2018, held in Banaglore, India, in January 2018.The 12 revised full papers presented in this book were carefully reviewed and selected from 134 submissions. They cover various topics in networking and communications systems. 

This book is a collection of best selected research papers presented at International Conference on Next-Generation Networks and Deployable Artificial Intelligence (NGNDAI-2025) organized by Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, during September 18–20, 2025. The book includes original research by researchers working in the field of artificial intelligence, machine learning, intelligent networks, robotics, and next-generation communication technologies.

This book is a collection of best selected research papers presented at International Conference on Next-Generation Networks and Deployable Artificial Intelligence (NGNDAI-2025) organized by Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, during September 18–20, 2025. The book includes original research by researchers working in the field of artificial intelligence, machine learning, intelligent networks, robotics, and next-generation communication technologies.

This book is a comprehensive guide to hair transplantation for dermatologists and hair transplant surgeons.The text begins with an introduction to evaluation, workup and postoperative care, and anaesthesia and pain management.The next chapters guide clinicians step by step through direct hair transplantation, design, and reconstruction, followed by discussion on follicular unit excision (FUE), a technique using grafts.In addition to detailed coverage of hair transplantation on the scalp, the book also explores body hair transplants and eyebrow and eyelash transplantation, concluding with a chapter on setting up a hair transplant centre.The book is further enhanced by nearly 400 descriptive photographs, diagrams and tables.Key pointsComprehensive, step by step guide to hair transplantationIncludes discussion on follicular unit excision (FUE) and its complicationsCovers body hair and eyebrow/eyelash transplantation as well as scalpFeatures nearly 400 clinical photographs, diagrams and tables