Xiaodong Li – författare

This book offers a comprehensive exploration of brain tumors, beginning with a foundational understanding of their pathophysiology and extending through the latest advancements in diagnosis and treatment. The chapters examine the underlying mechanisms that drive the development and progression of brain tumors and present a detailed analysis of the incidence, distribution, and potential risk factors associated with brain tumors. The book explores the intricate relationship between brain tumors and visual disorders, and reviews the critical role of advanced imaging technologies in diagnosing brain tumors, evaluating the strengths and limitations of various modalities such as MRI and PET scans. Additionally, the book evaluates the effectiveness and precision of radiosurgery in targeting brain tumors, discussing its benefits and challenges in the context of non-invasive cancer treatment. The chapters also introduce us to antisense oligonucleotides as a novel therapeutic strategy, outlining their mechanism of action and potential to silence cancer-driving genes. The book highlights the latest developments in nanotechnology for brain tumor diagnosis, emphasizing the use of nanomaterials to enhance imaging quality and specificity.

Key Features:

Toward the end, the book covers challenges of and strategies for delivering therapeutic agents across the blood–brain barrier and discusses phytochemicals in brain tumor treatment. This book serves as a useful source for researchers and students in oncology and neuroscience.

This book offers a comprehensive exploration of brain tumors, beginning with a foundational understanding of their pathophysiology and extending through the latest advancements in diagnosis and treatment. The chapters examine the underlying mechanisms that drive the development and progression of brain tumors and present a detailed analysis of the incidence, distribution, and potential risk factors associated with brain tumors. The book explores the intricate relationship between brain tumors and visual disorders, and reviews the critical role of advanced imaging technologies in diagnosing brain tumors, evaluating the strengths and limitations of various modalities such as MRI and PET scans. Additionally, the book evaluates the effectiveness and precision of radiosurgery in targeting brain tumors, discussing its benefits and challenges in the context of non-invasive cancer treatment. The chapters also introduce us to antisense oligonucleotides as a novel therapeutic strategy, outlining their mechanism of action and potential to silence cancer-driving genes. The book highlights the latest developments in nanotechnology for brain tumor diagnosis, emphasizing the use of nanomaterials to enhance imaging quality and specificity.

Key Features:

Toward the end, the book covers challenges of and strategies for delivering therapeutic agents across the blood–brain barrier and discusses phytochemicals in brain tumor treatment. This book serves as a useful source for researchers and students in oncology and neuroscience.

This book constitutes the proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, AI 2018, held in Wellington, New Zealand, in December 2018.

The 50 full and 26 short papers presented in this volume were carefully reviewed and selected from 125 submissions. The paper were organized in topical sections named: agents, games and robotics; AI applications and innovations; computer vision; constraints and search; evolutionary computation; knowledge representation and reasoning; machine learning and data mining; planning and scheduling; and text mining and NLP.

This book presents the latest trends and developments in multimodal optimization and niching techniques. Most existing optimization methods are designed for locating a single global solution. However, in real-world settings, many problems are “multimodal” by nature, i.e., multiple satisfactory solutions exist. It may be desirable to locate several such solutions before deciding which one to use. Multimodal optimization has been the subject of intense study in the field of population-based meta-heuristic algorithms, e.g., evolutionary algorithms (EAs), for the past few decades. These multimodal optimization techniques are commonly referred to as “niching” methods, because of the nature-inspired “niching” effect that is induced to the solution population targeting at multiple optima. Many niching methods have been developed in the EA community. Some classic examples include crowding, fitness sharing, clearing, derating, restricted tournament selection, speciation, etc.Nevertheless, applying these niching methods to real-world multimodal problems often encounters significant challenges.

To facilitate the advance of niching methods in facing these challenges, this edited book highlights the latest developments in niching methods. The included chapters touch on algorithmic improvements and developments, representation, and visualization issues, as well as new research directions, such as preference incorporation in decision making and new application areas. This edited book is a first of this kind specifically on the topic of niching techniques.

This book will serve as a valuable reference book both for researchers and practitioners. Although chapters are written in a mutually independent way, Chapter 1 will help novice readers get an overview of the field. It describes the development of the field and its current state and provides a comparative analysis of the IEEE CEC and ACM GECCO niching competitions of recent years, followed by a collection of open research questions and possible research directions that may be tackled in the future.

This bookconstitutes the proceedings of the Second Australasian Conference on ArtificialLife and Computational Intelligence, ACALCI 2016, held in Canberra, ACT,Australia, in February 2016.

The 30 fullpapers presented in this volume were carefully reviewed and selected from 41submissions. They are organized in topical sections named: mathematicalmodeling and theory; learning and optimization; planning and scheduling;feature selection; and applications and games. 

This book constitutes the proceedings of the 10th International Conference on Swarm Intelligence, ANTS 2016, held in Brussels, Belgium, in September 2016. The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions. They are devoted to the field of swarm intelligence as a whole, without any bias towards specific research directions. 

This book constitutes the refereed proceedings of the Third Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017, held in Geelong, VIC, Australia, in January/February 2017. The 32 papers presented in this volume were carefully reviewed and selected from 47 submissions. They were organized in topical sections named: artificial life and computational intelligence and optimization algorithms and applications. 

The 29 full papers were carefully reviewed and selected from 58 submissions. This volume covers a wide spectrum of research streams in artificial intelligence ranging from machine learning, optimization to big data science and their practical applications.