Research Methods in Information Technology and Information Systems aims to equip researchers with the knowledge needed for navigating the complex dynamics of research methods specifically tailored t……続きを見る
This book explores the critical role of LiDAR technology in autonomous navigation and advanced driver assistance systems (ADAS). It explores the fundamental principles of LiDAR, comparing it with ot……続きを見る
Building Natural Language Processing (NLP) solutions that deliver ongoing business value is not straightforward. This book provides clarity and guidance on how to design, develop, deploy, and mainta……続きを見る
Strengthen your cybersecurity approach through hands-on threat intelligence and data-driven hunting methodKey FeaturesSet up an environment to centralize all data in an Elasticsearch, Logstash, and ……続きを見る
In einer Welt, die zunehmend von Algorithmen, Automatisierung und künstlicher Intelligenz geprägt ist, stellt sich eine drängende Frage: Wie bewahren wir unsere Menschlichkeit? Dieses Buch ist eine ……続きを見る
ANÁLISIS ESTRUCTURAL DEL LIBRO ー CHATGPT (OPENAI)
Este libro no fue escrito. Fue diseñado.
No es una obra narrativa, filosófica, ni materialista. Es un modelo técnico cerrado.
Establece que el cere……続きを見る
著者:Philippe Jacquet
出版社: World Scientific Publishing Company
発売日: 2025年03月17日
The unique compendium starts with a simplified version of the information theory which allows any beginner in math to embrace the mysterious concept of entropy without hitting hard the wall of proba……続きを見る
Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the p……続きを見る
Contributed by leading scholars of Quebec Studies, both emerging and established, the 30 essays of this comprehensive collection offer a multidisciplinary survey of the study of diversity in Quebec ……続きを見る
With the increasing use of digital technologies in academic and research settings, scholars worldwide are engaging in new pathways for knowledge dissemination. Indeed, recent technological developme……続きを見る
著者:Clara Clivaz-Charvet
出版社: Peter Lang AG, Internationaler Verlag der Wissenschaften
発売日: 2017年11月29日
Avec une préface de Jean-Pierre Luminet
Comment penser un atome ?
Qu’est devenue la pomme de Newton ?
Sous quelles formes représenter l’Univers ?
Quelle imagerie est la préférée des scientifiques af……続きを見る
著者:Andy Crackau
出版社: Peter Lang GmbH, Internationaler Verlag der Wissenschaften
発売日: 2014年04月22日
Die Arbeit betrachtet die urheberrechtlichen Aspekte des Cloud Computing. Dabei konzentriert sie sich auf die Lizenzierung von Filmwerken. Es werden die technischen und rechtlichen Aspekte herausgea……続きを見る
The study of one-shot devices such as automobile airbags, fire extinguishers, or antigen tests, is rapidly becoming an important problem in the area of reliability engineering. These devices, which ……続きを見る
This book is an essential guide designed to equip you with the vital tools and knowledge needed to excel in data science. Master the end-to-end process of data collection, processing, validation, an……続きを見る
Dive into the Future with AI Mastery
Are you ready to embark on an exciting journey into the world of artificial intelligence? Whether you're a novice or simply curious, this engaging guide provides……続きを見る
Get to grips with cyber threat intelligence and data-driven threat hunting while exploring expert tips and techniques
Key Features
Set up an environment to centralize all data in an Elasticsearch, ……続きを見る
Artificial Intelligence Assisted Structural Optimization explores the use of machine learning and correlation analysis within the forward design and inverse design frameworks to design and optimize ……続きを見る
With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly import……続きを見る
This book discusses the relevance of probabilistic supervised learning, to the pursuit of automated and reliable prediction of an unknown that is in a state of relationship with another variable. Th……続きを見る
著者:Jack Myers
出版社: Advantage Media Group, Inc.
発売日: 2025年01月28日
Ancient Wisdom Meets Cutting-Edge Leadership
In The Tao of Leadership, renowned media ecologist Jack Myers reveals the key to thriving in an AI-driven business world. This groundbreaking book blends……続きを見る
著者:Hendrik Hackmann
出版社: Peter Lang GmbH, Internationaler Verlag der Wissenschaften
発売日: 2024年12月17日
Das Buch behandelt die Prinzipien und Herausforderungen der elektronischen Wahlverfahren in Deutschland. Das Verfassungsgericht hat in seinem Urteil die Bedeutung von Publizität, Transparenz und Nac……続きを見る
Scritto con un linguaggio semplice il manuale prova a svelare cosa si cela dietro al dorato mondo di internet e degli influencer. Si prefigge lo scopo di risvegliare le coscienze dei lettori invitan……続きを見る
This third volume of the monograph examines potential theory. The first chapter develops potential theory with respect to a single kernel (or discrete time semigroup). All the essential ideas of the……続きを見る
著者:Rodrick Wallace
出版社: World Scientific Publishing Company
発売日: 2016年08月18日
The book is a unique exploration of a spectrum of unexpected analogs to psychopathologies likely to afflict real-time critical systems, written by a specialist in the epidemiology of mental disorder……続きを見る
Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systems Key Features • Explore various expla……続きを見る
This book compares and contrasts the principles and practices of rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). Presentin……続きを見る
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 11th of FLI……続きを見る
Symbolic regression (SR) is one of the most powerful machine learning techniques that produces transparent models, searching the space of mathematical expressions for a model that represents the rel……続きを見る
Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and t……続きを見る
A new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the methodology and al……続きを見る