Trefferliste "Neutral" - alle Bücher, CDs, LPs und mehr

Bis

Return To Central (Clear Vinyl)

Jana Brauweiler, Sarah Barth, Jakob Hildebrandt, Lucas Wenzel

Klimaneutralität in Unternehmen

Klimaneutralität ist für Unternehmen längst keine Option mehr, sondern ein Eckpfeiler langfristiger Verantwortung, um ihren Beitrag zur Erreichung der globalen Klimaziele des Pariser Abkommens und zur Beg…

W. D. Ingeson

Neutralität & Waffen

Ein Ingenieur eines österreichischen Wehrunternehmens eröffnet Einblicke hinter die Kulissen von Waffenentwicklungen und Waffengeschäften. So ergibt sich eine Neubewertung der Skandale um Waffenexporte in…

Barbara Lamprecht,

Neutra

Der ursprünglich aus Wien stammende Richard Neutra (1892-1970) ging am Beginn seiner Karriere nach Amerika und ließ sich in Kalifornien nieder. Sein Einfluss auf die Architektur der Nachkriegszeit ist unb…

Lihui Liu, Hanghang Tong

Neural Symbolic Knowledge Graph Reasoning

This book explores various aspects of knowledge graph reasoning to solve different tasks, encompassing first, traditional symbolic methods for knowledge graph reasoning; second, recent developments in neu…

Artificial Neural Networks

This fourth edition volume builds on the strengths of previous editions, with examples of how AI is being used in innovative ways to process, interpret, and understand biochemical and related data. Chapte…

Of Montreal

Cherry Peel

Of Montreal stammen aus der Athener Popmusikszene, zu der auch Olivia Tremor Control, Neutral Milk Hotel, Elf Power und Julian Koster gehören. »Cherry Peel« ist das Debütalbum von Of Montreal. Es wurde 19…

Neural Stem Cells

This detailed volume explores techniques for the study of neurogenic niches and neural lineage progression, specifically addressing major methodological challenges in studying neural stem cells (NSCs) and…

Melanie

Central Park 1974

Graph Neural Networks

Master the power of relational AI with this comprehensive guide, designed to seamlessly bridge the gap between foundational graph theory and the practical deployment of highly efficient, domain-aware Grap…

Arpan Adhikary, Farshad Arvin, Parijat Bhowmick, Sima Das

Neural Rehab

In recent years, the integration of cutting-edge technology with healthcare has led to groundbreaking advancements. Deep learning, in particular, has emerged as a revolutionary force, poised to transform …

Graph Neural Network Training

Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, a…

Quantum-Inspired Neural Networks

The rapid development in AI and quantum computing has resulted in a new domain termed Quantum-Inspired Neural Networks (QINNs). These models utilize ideas from quantum mechanics, including superposition, …

Fractional Discrete Neural Networks

This book offers a comprehensive guide to Fractional Discrete Neural Networks, delving into their mathematical foundations, stability, solvability, and chaotic dynamics. By combining rigorous analytical a…

Convolutional Neural Network Accelerators

This book provides comprehensive coverage of the state-of-the-art in Convolutional Neural Network (CNN) hardware accelerator design, security, and its applications in hardware security. The first part giv…

Deep Quantum Neural Networks:

This book looks at how quantum computing, neural networks, and next-generation communication systems can work together in new and exciting ways. The book presents details about cutting edge techniques, su…

Ryoma Sato

Accelerating Deep Neural Networks

Deep learning models are powerful, but are often large, slow, and expensive to run. This book is a practical guide to accelerating and compressing neural networks using proven techniques such as quantizat…

Neural Information Processing

The six-volume set constitutes the refereed proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.The 197 full papers pre…

Marat Akhmet, Madina Tleubergenova, Akylbek Zhamanshin, Zakhira Nugayeva

Artificial Neural Networks

Mathematical chaos in neural networks is a powerful tool that reflects the world's complexity and has the potential to uncover the mysteries of the brain's intellectual activity. Through this monograph, t…