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The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
The two-volume set LNCS 11961 and 11962 constitutes the thoroughly refereed proceedings of the 25th International Conference on MultiMedia Modeling, MMM 2020, held in Daejeon, South Korea, in January 2020. Of the 171 submitted full research papers, 40 papers were selected for oral presentation and 46 for poster presentation; 28 special session papers were selected for oral presentation and 8 for poster presentation; in addition, 9 demonstration papers and 6 papers for the Video Browser Showdown 2020 were accepted. The papers of LNCS 11961 are organized in the following topical sections: audio and signal processing; coding and HVS; color processing and art; detection and classification; face;...
This book presents a comprehensive collection of reviews and experimental research findings in the realm of composite materials. It explores manufacturing technologies and applications, as well as recent breakthroughs in nanomaterial-based composites, polymer-based composites, titanium matrix composites (TMCs), conducting polymers, natural polymers, graphene polymers, graphene composites, and organosulfur polymeric composites, alongside reinforced aluminum matrix composites. The mechanical and tribological aspects take center stage, with a focus on aluminum alloy composites as a superior alternative to traditional gear materials. The book also addresses cutting-edge composite materials devel...
The COPROMAPH Conference series has now evolved into a significant international arena where fundamental concepts in mathematical and theoretical physics and their applications can be conceived, developed and disseminated. The contributions in this volume address a variety of contemporary problems in mathematical and theoretical physics.
Forensic Medicine is an old medical discipline defined as “that science, which teaches the application of every branch of medical knowledge to the purpose of the law” (Alfred Swaine Taylor). Forensic Medicine deals with medical evidence not only in practice but also in research and furthermore all legal essentials in health care especially for doctors are part of teaching, training and research. Several steps in the development of Forensic Medicine can be distinguished: At first the use of medical knowledge for legal and public purposes.Secondly the compulsory medical testimony for the guidance of judges.Thirdly the professionalization as an own academic discipline. The development and e...
Clinical metagenomics is an emerging method in the diagnosis of infectious diseases that uses next generation sequencing (NGS) technology to identify the etiologic agents to allow for more effective and targeted treatment of infectious diseases. Conventional diagnostic methods are mainly based on basic morphologic, phenotypic and genotypic analyses which can be insensitive and/or time consuming. Metagenomic NGS (mNGS) can be performed with only a small amount of nucleic acid from the specimen and not only can the pathogen be identified and characterized, but also its antimicrobial susceptibility can be inferred. Although tremendous advancements were made in the speed, throughput, and cost of NGS in recent years, the application of clinical metagenomics in routine diagnosis of infectious diseases is not yet practical because of its much higher cost compared to conventional microbiological tests, complex laboratory workflows and computational challenges.
Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous vehicles. It also provides an overview of the challenges and limitations of traditional black-box AI models and how XAI can help address these challenges by providing transparency and interpretability in the decision-making process of autonomous vehicles. The book then covers the state-of-the-art techniques and methods for XAI in autonomous vehicles, including model-agnostic approaches, post-hoc explana...
Antibody–drug conjugates (ADCs) represent one of the most promising and exciting areas of anticancer drug discovery. Five ADCs are now approved in the US and EU [i.e., ado-trastuzumab emtansine (Kadcyla™), brentuximab vedotin (Adcetris™), inotuzumab ozogamicin (Besponsa™), gemtuzumab ozogamicin (Mylotarg™) and moxetumomab pasudotox-tdfk (Lumoxiti®)] and over 70 others are in various stages of clinical development, with impressive interim results being reported for many. The technology is based on the concept of delivering a cytotoxic payload selectively to cancer cells by attaching it to an antibody targeted to antigens on the cell surfaces. This approach has several advantages in...