DeepLearnings – Bücher, CDs, LPs und mehr, Seite 5

Carlos Urdaneta, Aamir Bader Shah, Xuqing Wu, Xin Fu
Deep Learning Applications for Drilling Performance: Forecasting, Diagnostics, Telemetry, and Predictive Maintenance

Advances in Oil and Gas Exploration & Production

This book presents data driven approaches to improve drilling performance in geothermal, coiled tubing, and conventional operations. It begins with transformer models for forecasting rate of penetration i…

lieferbar innerhalb 2-3 Wochen

Buch

Songlin Du, Takeshi Ikenaga
Human Pose Analysis

This book stands at the intersection of computer vision, artificial intelligence, and human kinematics, offering a comprehensive exploration of the principles, methodologies, and applications of human pos…

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Arpan Adhikary, Farshad Arvin, Parijat Bhowmick, Sima Das
Neural Rehab

Artificial Intelligence in Smart Healthcare Systems

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 …

lieferbar ab 16.10.2026.

Buch

George Katsogiannis-Meimarakis, Anna Mitsopoulou, Mike Xydas, Georgia Koutrika
Natural Language Interfaces for Databases with Deep Learning

Data-Centric Systems and Applications

This book covers the main research areas that aim to bridge the world of databases and SQL with the world of natural language. It provides a comprehensive coverage of the most influential work in the fiel…

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Sancheng Peng, Lihong Cao
Textual Emotion Classification Using Deep Broad Learning

Socio-Affective Computing - Band 11

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning. Since broad learning possesses certain advantages such as simple network s…

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Buch

Mohammad Nauman
Keras 3

Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and t…

sofort lieferbar

Buch

Barouch Matzliach, Evgeny Kagan, Irad Ben-Gal
Multi-Agent Search under Uncertainty

Plan optimal multi-robot search paths despite imperfect sensor informationWhen multiple robots must locate targets in presence of false positive and false negative detection errors, path planning becomes …

lieferbar ab 16.9.2026.

Buch

Akihiko Takahashi, Toshihiro Yamada
Asymptotic Expansion and Weak Approximation

SpringerBriefs in Statistics

This book provides a self-contained lecture on a Malliavin calculus approach to asymptotic expansion and weak approximation of stochastic differential equations (SDEs), along with numerical methods for co…

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Machine Translation

This book provides an in-depth discussion of the evolution of machine translation from rule-based systems to advanced deep learning models and Large Language Models (LLMs). This comprehensive guide covers…

lieferbar ab 6.11.2026.

Buch

Deeper Learning in der Hochschuldidaktik

Deeper Learning beschreibt eine innovative Pädagogik, die Lernende von passiven Wissensempfängern zu aktiv-handelnden Gestaltern in ihrem (über-)fachlichen Kompetenz- und Wissenserwerb führt. Kommunikatio…

lieferbar ab 25.2.2027.

Buch

AI in Modern Ophthalmology

Analytics and AI for Healthcare

The book provides an authoritative and accessible guide on integrating intelligent technologies, specifically Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), into modern eye c…

lieferbar ab 24.12.2026.

Buch

Ke Chen
Mathematical Modeling and Essential Regularization for Imaging Applications

Elements in Non-local Data Interactions: Foundations and Applications

To deal with an increasingly large and sophisticated class of real life problems, image processing methods range from the traditional filtering and thresholding techniques to advanced variational models a…

lieferbar ab 30.9.2026.

Buch

Ke Chen
Mathematical Modeling and Essential Regularization for Imaging Applications

Elements in Non-local Data Interactions: Foundations and Applications

To deal with an increasingly large and sophisticated class of real life problems, image processing methods range from the traditional filtering and thresholding techniques to advanced variational models a…

lieferbar ab 30.9.2026.

Buch

Fato& Yarman Vural, Mo&, Ertu&
Fundamentals of Image Processing with Python

Richly supplemented one-semester textbook on intermediate/advanced image processingImage Processing with Pythonintroduces a novel approach to image processing methods, combining the foundational and deep …

lieferbar ab 12.11.2026.

Buch

Juliane Blarr
Development of Computational, Image Processing and Deep Learning Methods for the Microstructure Characterization of Carbon Fiber Reinforced Polyamide 6 Based on CT Images

Discontinuously fiber reinforced polymers exhibit complex microstructures. Quantities to characterize the latter have been developed over time, such as the fiber volume content or fiber orientation distri…

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Brain-to-Computer Interfaces

Unlock the future of human-computer interaction with this comprehensive guide that seamlessly bridges the gap between neuroscience and practical implementation, delivering a unified, multi-modality framew…

lieferbar in mind. 4 Wochen

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Sen Lin, Zhi Zhou, Zhaofeng Zhang, Xu Chen
Edge Intelligence in the Making

Synthesis Lectures on Learning, Networks, and Algorithms

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edg…

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Artificial Intelligence for Global Counter-Terrorism

Contributions to Security and Defence Studies

The emergence of global terrorism has led to new, innovative artificial intelligence (AI) and deep learning techniques for effective counterterrorism. This book explores the transformative role of AI and …

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Shimin Gong, Dusit Niyato, Bo Gu, Kaibin Huang
Optimization-Driven Deep Reinforcement Learning for Wireless Networks

This book explores the integration and interplay of model-based optimization and model-free deep reinforcement learning (DRL). It addresses the growing complexity of future wireless networks. This book be…

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Social Network Analytics

This book presents the cutting-edge techniques of social network analytics, focusing on both the positive and negative aspects of social media. While platforms like X, Facebook, and LinkedIn serve as powe…

lieferbar in mind. 4 Wochen

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