Xin Wang

Shaobin Li

Rui Su

Sheep and Goat Gene Exploration

Yang-Sae Moon

Rui Zhang

Young-Koo Lee

Le Sun

This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and Multimedia Databases; Database Systems; and Demo.

4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part II

Web and Big Data

Guo Chen

Yanqing Liu

Chaoyun Pan

Ferroptosis in cancer and beyond, volume II

Dejian Shen

This book is written based on authors' research on cement hydration during the past decade. It establishes simulation model to evaluate the influence of crystal defects on the dissolution of tricalcium silicate and morphology change of particles and explores the hydration kinetics and microstructure development of tricalcium silicate under the mixed control of dissolution, diffusion, as well as boundary nucleation and growth. It also provides a theoretical basis for regulating the microstructure and performance of cement-based materials. It is designed as a reference work for professionals or practitioners and as a textbook for undergraduates or postgraduates. This book provides valuable knowledge and useful methods that can be applied in the field of cement hydration.

Simulation on Hydration of Tricalcium Silicate in Cement Clinker

Tianhui Chen

William C. Cho

Hossain Shekhar

Ismail Hosen

Florence Le Calvez-Kelm

Molecular biomarkers for the diagnosis, prognosis, and risk prediction of cancer

Rhian M. Touyz

Women in cardio-oncology

Peng Wang

Wenwu Zhu

Qi Wu

Xiaodong He

Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output. This is by nature a multi-disciplinary research problem, involving computer vision (CV), natural language processing (NLP), knowledge representation and reasoning (KR), etc. Further, VQA is an ambitious undertaking, as it must overcome the challenges of general image understanding and the question-answering task, as well as the difficulties entailed by using large-scale databases with mixed-quality inputs. However, with the advent of deep learning (DL) and driven by the existence of advanced techniques in both CV and NLP and the availability of relevant large-scale datasets, we have recently seen enormous strides in VQA, with more systems and promising results emerging. This book provides a comprehensive overview of VQA, covering fundamental theories, models, datasets, and promising future directions. Given its scope, it can be used as a textbook on computer vision and natural language processing, especially for researchers and students in the area of visual question answering. It also highlights the key models used in VQA.

From Theory to Application

Visual Question Answering

Yuan Hu

Hafezeh Nabipour

Bio-Based Flame Retardants for Polymeric Materials provides a comprehensive overview of flame retardants derived directly and indirectly from plant sources, drawing on cutting-edge research and covering preparation methods, testing and evaluation techniques, enhanced properties, and end applications. Chapters introduce bio-based materials in the context of additives for flame retardancy, explaining fundamentals and testing methods and analyzing synthetic approaches and the potential advantages of pursuing a bio-based approach. This is followed by detailed coverage of bio-based retardants, with each chapter covering a specific source and guiding the reader systematically through preparation techniques, evaluation methods, properties and applications. Throughout the book, the latest progress in the field is critically reviewed, and there is a continual emphasis on novel approaches to achieve enhanced properties and performant materials. This is an essential guide for all those with an interest in innovative, sustainable flame retardant additives for polymeric materials, including researchers, scientists, advanced students, and more. Explains innovative techniques for the preparation of bio-based flame retardant mechanisms, analyzing properties, performance and applications Offers in-depth coverage of a range of sources, including cellulose, lignin, cardanol, chitosan, eugenol, vanillin, furan, alginate and vegetable oils Presents the latest advances in the field, serving as a novel resource to advanced students, researchers and R&D professionals in academia and industry

Bio-based Flame-Retardant Technology for Polymeric Materials

Ferroptosis in cancer and beyond

Maria Luisa Sapino

Gill Dobbie

Amr El Abbadi

Zhiyong Feng

Wook-Shin Han

Yingxiao Shao

Hongzhi Yin

The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China. The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15 industrial papers, 15 demo papers and 4 PhD consortium papers are included. The conference presents papers on subjects such as model, graph, learning, performance, knowledge, time, recommendation, representation, attention, prediction, and network.

28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part III

Database Systems for Advanced Applications

Xi Shao

Kun Qian

Li Zhou

Ziping Zhao

The book presents selected papers at the 8th Conference on Sound and Music Technology (CSMT) held in November 2020, at Taiyuan, Shanxi, China. CSMT is a multidisciplinary conference focusing on audio processing and understanding with bias on music and acoustic signals. The primary aim of the conference is to promote the collaboration between art society and technical society in China. In this proceeding, the paper included covers a wide range topic from speech, signal processing, music understanding, machine learning and signal processing for advanced medical diagnosis and treatment applications; which demonstrates the target of CSMT merging arts and science research together.its content caters to scholars, researchers, engineers, artists, and education practitioners not only from academia but also industry, who are interested in audio/acoustics analysis signal processing, music, sound, and artificial intelligence (AI).

Selected Papers from CSMT

Proceedings of the 8th Conference on Sound and Music Technology

28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part IV

Guang-Hong Yang

Jun-Wei Zhu

This book is concerned with the fault estimation problem for network systems. Firstly, to improve the existing adaptive fault estimation observer, a novel so-called intermediate estimator is proposed to identify the actuator or sensor faults in dynamic control systems with high accuracy and convergence speed. On this basis, by exploiting the properties of network systems such as multi-agent systems and large-scale interconnected systems, this book introduces the concept of distributed intermediate estimator; faults in different nodes can be estimated simultaneously; meanwhile, satisfactory consensus performances can be obtained via compensation based protocols. Finally, the characteristics of the new fault estimation methodology are verified and discussed by a series of experimental results on networked multi-axis motion control systems. This book can be used as a reference book for researcher and designer in the field of fault diagnosis and fault-tolerant control and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.

Fault Estimation for Network Systems via Intermediate Estimator

Yan Sheng Yin

With the rapid development of science and technology, the functionalization of structural materials, and the structurization of functional materials are attracting increasing attention in the scientific and engineering fields. The development of multi-functional materials and structures (MFMS), at the micro- and nano-scale levels, has grown rapidly due to the requirement of increasing safety margins for all infrastructure, biomedical and engineering elements. Multi-functional material systems are capable of performing multiple primary functions, simultaneously or sequentially in time, and are specially designed to improve system performance via a reduction in the redundancy between sub-system materials and functions.

Multi-Functional Materials and Structures II

Michael M. Resch

Wolfgang Bez

Erich Focht

Hiroaki Kobayashi

Sabine Roller

The book presents the state of the art in high performance computing and simulation on modern supercomputer architectures. It covers trends in hardware and software development in general and specifically the future of vector-based systems and heterogeneous architectures. The application contributions cover computational fluid dynamics, material science, medical applications and climate research. Innovative fields like coupled multi-physics or multi-scale simulations are presented. All papers were chosen from presentations given at the 13th Teraflop Workshop held in October 2010 at Tohoku University, Japan.

High Performance Computing on Vector Systems 2011

This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems in AutoML and meta-learning. This topic is at the core of the scope of artificial intelligence, and is attractive to audience from both academia and industry. This book is highly accessible to the whole machine learning community, including: researchers, students and practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book.

Automated Machine Learning and Meta-Learning for Multimedia

Qi Liu

Mustafa Mısır

Weiping Liu

This book examines innovation in the fields of computer engineering and networking, and explores important, state-of-the-art developments in areas such as artificial intelligence, machine learning, information analysis and communication. It gathers papers presented at the 8th International Conference on Computer Engineering and Networks (CENet2018), held in Shanghai, China on August 17–19, 2018. • Explores emerging topics in computer engineering and networking, along with their applications • Discusses how to improve productivity by using the latest advanced technologies • Examines innovation in the fields of computer engineering and networking

The 8th International Conference on Computer Engineering and Networks (CENet2018)

Tingtao Chen

Fengjiao Xin

Xi Ma

Nuria Salazar

Impact of Proteins, Peptides, Amino Acids and Food Additives on Gut Microbiota

4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part I

Angiosperms are the most diversi ed plant group in the world, being represented by ca 300,000 species in about 400 families. Like all of Life, including ourselves, they have had their own history and gone through many evolutionary stages before they arrived at their current forms. The origin of Angiospermae ( owering plants) has been the subject of much dispute because this is a key event in the history of life, and has a far-reaching in uence on our understanding of relationships among seed plants as a whole as well as within the angiosperms. Until recently most of palae- otanists recognized angiosperms only from the Cretaceous and younger strata. This contradicts the results of molecular analyses. I have been working on Mesozoic fossil plants for the past two decades, during which time I have studied a number of fossil plants. Some of these fossil plants have been published as Jurassic angiosperms, and, unsurprisingly, many questions and doubts have been raised about them. These questions need to be addressed se- ously and journal papers do not provide suf cient space to compare and relate these early angiosperms. In this book these pioneer angiosperms are documented in detail, sometimes with new specimens not studied before. Also, I propose a de nition of angiosperms that could be adopted in palaeobotany. My aim is to improve clarity and objectivity of judgment about what constitutes a fossil angiosperm.

Uncovering the Origin of Flowering Plants

The Dawn Angiosperms

Xin Wang

Books

Your next favorite book is out there