Pattern Recognition and Data Analysis with Applications
The book coverage is concerned with the latest advancements in the areas of machine learning, computer vision and pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of Geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical...
مطالعه متن کاملArtificial Intelligence and National Security
This book explores national security uses for Artificial Intelligence (AI) in Western Democracies and its malicious use....
تحلیل دادههای عصبی
پیشرفتهای مستمر در جمعآوری و پردازش دادهها تاثیر زیادی بر تحقیقات مغزی داشته است. و مجموعه دادههایی...
Design Computing and Cognition’۲۲
The papers in this volume are from the Tenth International Conference on Design Computing and Cognition (DCC’۲۲)...
Analysis and Classification of EEG Signals for Brain– Computer Interfaces
This book addresses the problem of EEG signal analysis and the need to classify it for practical...
مغز شما هنگام کار
بزرگترین مانع، برای مردم، محدودیت مغز ما (ارتباطات نورونی که ظاهرا سیمکشی شده) است که هم باعث...
آخرین آغوش ماما
هیجانات حیوانات و آنچه درباره ما آشکار میسازند. آخرین آغوش ماما، کاوشی جذاب در باب هیجانات حیوانات...
LOSING The Long Game
The false promise of regime change in the middle east Since the end of World War II,...
New Perspectives on Mind-Wandering
The aim is to transform and enrich the debate on mind-wandering but also to show how theoretical...