Dharmendra Sharma – författare

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

This monograph book is focused on the recent advances in smart, multimedia and computer gaming technologies. The Contributions include:

·Smart Gamification and Smart Serious Games.

·Fusion of secure IPsec-based Virtual Private Network, mobile computing and rich multimedia technology.

·Teaching and Promoting Smart Internet of Things Solutions Using the Serious-game Approach.

·Evaluation of Student Knowledge using an e-Learning Framework.

·The iTEC Eduteka.

·3D Virtual Worlds as a Fusion of Immersing, Visualizing, Recording, and Replaying Technologies.

·Fusion of multimedia and mobile technology in audio guides for Museums and Exhibitions: from Bluetooth Push to Web Pull.

The book is directed to researchers, students and software developers working in the areas of education and information technologies.