This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models. It shows how visualization can bridge the gap between complex models or algorithms and human understanding while also facilitating data curation and model refinement. Therefore, visualization for artificial intelligence (VIS4AI) has become an emerging area that combines interactive visualization with machine learning ...

Since 1978, when China started remaking its economy, it has also embarked on an unparalleled effort at remaking its pension system to accommodate its hybrid economic model. This book tells the story of how China has managed to build a national pension system that now covers most of its population and what this system holds for its future.This book covers the following topics: evolution of Chinese pension system to its current form; benefit design, financing, and governance of curre...

Membrane computing is a class of distributed and parallel computing models inspired by living cells. Spiking neural P systems are neural-like membrane computing models, representing an interdisciplinary field between membrane computing and artificial neural networks, and are considered one of the third-generation neural networks. Models and applications constitute two major research topics in spiking neural P systems. The entire book comprises two parts: models and applications.In ...

An up-to-date and accurate discussion of spiking neural P systems in time series analysisIn Spiking Neural P Systems for Time Series Analysis, the authors explore the fundamentals and the current states of both spiking neural P systems and time series analysis and examine the application models of time series analysis. You’ll also find walkthroughs of recurrent-like, echo-like, and reservoir computing models for time series prediction.The book cove...

This book highlights the latest advances in advanced insulating materials. Energy crisis and environmental pollution are two major themes currently faced by the human society. It is of unprecedented strategic importance to construct a strong smart grid with super/ultra-high voltage network as the backbone and clean energy transmission as the leading force. However, the performance of electrical equipment and devices is greatly determined by the properties of their insulating materials, esp...

Computational Intelligence in Protein-Ligand Interaction Analysis presents computational techniques for predicting protein-ligand interactions, recognizing protein interaction sites, and identifying protein drug targets. The book emphasizes novel approaches to protein-ligand interactions, including machine learning and deep learning, presenting a state-of-the-art suite of skills for researchers. The volume represents a resource for scientists, detailing the fundamentals of computational me...

This book constitutes the refereed proceedings of ICIVIS2023, held in Baoding, China, in August 2023. The papers included in the proceedings have been carefully reviewed and selected from the submitted manuscripts in the areas of image, vision and intelligent systems.This book provides a reference for theoretical innovative problems as well as recent practical solutions and applications for the state-of-the-art results in image, vision and intelligent systems. The intended audience...

Based on the design theory and development experience of Beidou navigation satellite system (BDS), this book highlights the space segment and the related satellite technologies as well as satellite-ground integration design from the perspective of engineering. The satellite navigation technology in this book is divided into uplink and reception technology, broadcasting link technology, inter-satellite link technology, time-frequency system technology, navigation signal generation and asses...

This open access book reports on recent developments of artificial intelligence applications in the manufacturing industry. Gathering contributions to the second European Symposium on Artificial Intelligence in Manufacturing, held on October 16, 2024, in Athens, Greece, it reports on machine learning, deep learning and generative AI models for process monitoring, optimization, and control, flexible and precise industrial robots, human-robot collaboration, data management and information te...

This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased...

Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs...

This book compiles a curated selection of insightful, rigorously researched, and state-of-the-art papers presented at the Computing Conference 2025, hosted in London, UK, on June 19–20, 2025. Drawing submissions from across the globe, the conference received 473 papers, each subjected to a stringent double-blind peer-review process. Of these, 169 papers were accepted for inclusion, reflecting exceptional scholarship and innovation across disciplines such as IoT, artificial intelligence, co...