Advances in fluorescent proteins, live-cell imaging, and superresolution instrumentation have ushered in a new era of investigations in cell biology, medicine, and physiology.
Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision-making in geotechnical practice using data-driven methods.
This book investigates the distributed impulsive coordination control of multi-agent systems (MASs), including consensus problem and formation problem.
Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential.
A generalized approach in a systematic way is inevitable to oversee the challenges one may face in the product development stage to acquire the desired output performance under various operating conditions.
This book covers proceedings of the Future Technologies Conference (FTC) 2024 which showcase a collection of thoroughly researched studies presented at the ninth Future Technologies Conference, held in London, the UK.
Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers.
This book presents a comprehensive overview of the latest advancements in the field of cyber-physical systems, focusing on the transition from Industry 4.
This book presents a comprehensive overview of the latest advancements in the field of cyber-physical systems, focusing on the transition from Industry 4.
This book covers proceedings of the Future Technologies Conference (FTC) 2024 which showcase a collection of thoroughly researched studies presented at the ninth Future Technologies Conference, held in London, the UK.
In recent years, debates over healthcare have accompanied rapid advances in technology, from the expansion of telehealth services to artificial intelligence driven diagnostics.
Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas.
Finance Transformation: Leadership on Digital Transformation and Disruptive Innovation is a general and wide-ranging survey of finance transformation and emerging technologies.
Derived from industry-training classes that the author teaches at the Embedded Systems Institute at Eindhoven, the Netherlands and at Buskerud University College at Kongsberg in Norway, Systems Architecting: A Business Perspective places the processes of systems architecting in a broader context by juxtaposing the relationship of the systems archit
In recent years, debates over healthcare have accompanied rapid advances in technology, from the expansion of telehealth services to artificial intelligence driven diagnostics.
With adults over sixty becoming an ever-increasing proportion of the global population, the challenge of accommodating the needs, preferences, and abilities, of this heterogeneous population has increased.
This book provides engineers, developers, and technicians with a detailed treatment of various models of software behavior that will support early analysis, comprehension, and model-based testing.
Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model.
The standard work in a new edition "e;Stage Technology - Mechanical Equipment"e; was now published in English under the title "e;Stage Technology"e; The book offers a comprehensive presentation of modern stage technology.
A ready reference for the next-generation discovery techniques, this book presents advanced research findings on resource discovery, network navigability, and trust management on the Internet of Things (IoT) and Social Internet of Things (SIoT) ecosystems.
Grundlagen der klassischen Regelung, ergänzt mit modernen Methoden wie Antisystem-Approach (ASA), Bus-Konzept, Drei-Bode-Plots-Verfahren (DBV), Bode-Aided-Design (BAD), Surf-Feedback Control (SFC) und Data Stream Management (DSM).
The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the FieldGiving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis.
Although recent advances in technology have made life easier for individuals, societies, and states, they have also led to the emergence of new and different problems in the context of security.
This book collects the scientific contributions presented at the European Robotics Forum (ERF) 2024 that is the reference event for the EuRobotics association.
A culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering.
Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision-making in geotechnical practice using data-driven methods.
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vecto
This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms.
