Forecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications in the, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many traditional methods (such as pure statistical models) will fail to make a sound prediction. Over the past decade, advances in artificial intelligence and computing technologies have provided an alternative way of generating precise and accurate forecasting results for fashion businesses. Despite being an important and timely topic, there is currently an absence of a comprehensive reference source that provides up-to-date theoretical and applied research findings on the subject of intelligent fashion forecasting systems. This three-part handbook fulfills this need and covers materials ranging from introductory studies and technical reviews, theoretical modeling research, to intelligent fashion forecasting applications and analysis. This book is suitable for academic researchers, graduate students, senior undergraduate students and practitioners who are interested in the latest research on fashion forecasting.

This volume focuses on the investigatory methods applied to autosomal dominant polycystic kidney disease (ADPKD), one of the most common human genetic diseases. ADPKD is caused by mutations in PKD1 and TRPP2, two integral membrane proteins that function as receptor/ion channels in primary cilia of tubular epithelial cells. Thus, ADPKD belongs to ciliopathies, a group of disorders caused by abnormal cilia formation or function. This proposed book will cover the state-of-the-art methods ranging from molecular biology, biochemistry, electrophysiology, to tools in model animal studies. Key Features Explores the role of cilia in polycystic kidney disease Focuses on myriad state-of-the-art methods and techniques Reviews specific mutations integral to this autosomal genetic disease Includes discussions of model systems

Forecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications in the, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many traditional methods (such as pure statistical models) will fail to make a sound prediction. Over the past decade, advances in artificial intelligence and computing technologies have provided an alternative way of generating precise and accurate forecasting results for fashion businesses. Despite being an important and timely topic, there is currently an absence of a comprehensive reference source that provides up-to-date theoretical and applied research findings on the subject of intelligent fashion forecasting systems. This three-part handbook fulfills this need and covers materials ranging from introductory studies and technical reviews, theoretical modeling research, to intelligent fashion forecasting applications and analysis. This book is suitable for academic researchers, graduate students, senior undergraduate students and practitioners who are interested in the latest research on fashion forecasting.

This book constitutes the refereed proceedings of the 6th International Conference on Provable Security, ProvSec 2012, held in Chengdu, China, in September 2012. The 16 full papers and 4 short papers presented were carefully reviewed and selected from 66 submissions. The papers are grouped in topical sections on signature schemes, foundations, leakage resilence and key escrow, encryption schemes, and information theoretical security.

This volume focuses on the investigatory methods applied to autosomal dominant polycystic kidney disease (ADPKD), one of the most common human genetic diseases. ADPKD is caused by mutations in PKD1 and TRPP2, two integral membrane proteins that function as receptor/ion channels in primary cilia of tubular epithelial cells. Thus, ADPKD belongs to ciliopathies, a group of disorders caused by abnormal cilia formation or function. This proposed book will cover the state-of-the-art methods ranging from molecular biology, biochemistry, electrophysiology, to tools in model animal studies. Key Features Explores the role of cilia in polycystic kidney disease Focuses on myriad state-of-the-art methods and techniques Reviews specific mutations integral to this autosomal genetic disease Includes discussions of model systems

This book constitutes the proceedings of the Second International Conference on Frontiers in Cyber Security, FCS 2019, held in Xi'an, China, in November 2019. The 20 full papers along with the 2 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on: symmetric key cryptography; public key cryptography; post-quantum cryptography: signature; attack and behavior detection; authenticated key agreement; blockchain; system and network security.

This book constitutes the refereed proceedings of the 11th International Conference on Provable Security, ProvSec 2017, held in Xi'an, China, in October 2017. The 24 full papers and 5 short papers presented were carefully reviewed and selected from 76 submissions. The papers are grouped in topical sections on secure cloud storage and computing; digital signature and authentication; authenticated encryption and key exchange; security models; lattice and post-quantum cryptography; public key encryption and signcryption; proxy re-encryption and functional encryption; protocols.

This book constitutes the refereed proceedings of the Seventh Chinese Semantic Web Symposium and the Second Chinese Web Science Conference, CSWS 2013, held in Shanghai, China in August 2013. The 14 revised full papers presented together with 6 short papers and 3 poster papers were carefully reviewed and selected from 48 submissions. The papers cover a wide range of topics, including semantic search, ontology reasoning, social semantic Web, knowledge graph, etc.