Learning Models – alle Bücher, CDs und LPs, Seite 4

N. Sukumar
Navigating Molecular Networks

This book delves into the foundational principles governing the treatment of molecular networks and "chemical space"-the comprehensive domain encompassing all physically achievable molecules-fro…

lieferbar innerhalb 2-3 Wochen

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Advanced Computing and Communications: Responsible AI

.- Emerging approaches towards Responsible Autonomy..- VRSIL: A Framework for Video Recommendation Integrating Semantic Intelligence with a Large Language Model..- Detection and Categorization of DNS over…

lieferbar innerhalb 2-3 Wochen

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Computer Vision and Image Processing

.- ConvSFNet: A Novel Architecture for Disaster Image Analysis. .- Impact of Color Channel Perturbation Attack on Vision Transformers. .- Boundary Refinement in Abdomen Segmentation using 3D Inverseform L…

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Proceedings of Data Analytics and Management

Smart Finances: A Web-Based System for Personalized Financial Management.- Cybersecurity in Space Exploration: Protecting satellites and Space Missions.- Managing Mobility In Fog Computing: A Study of Dyn…

lieferbar innerhalb 2-3 Wochen

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Markus Bayer
Deep Learning in Textual Low-Data Regimes for Cybersecurity

Introduction.- Research Design.- Findings.- Discussion.- Conclusion.- Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies.-…

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Maya
Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More

Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More explores groundbreaking advancements in identifying nuanced speaker states beyond traditional emotions. This resear…

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Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

About the bookIn Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's u…

lieferbar innerhalb 1-2 Wochen

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Bachman
Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities

Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities explores cutting-edge methods for identifying speaker states using diverse data inputs. Beyond traditional e…

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Computational Intelligence in Engineering Science

.- Machine Learning..- Clickbait Detection: A Comparative Analysis of Traditional Machine Learning, Deep Learning, and Large Language Models..- Breast cancer classification based on fuzzy rules and deep l…

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Data-Driven Diagnostics and Disease Prediction with AI Optimization

Data-Driven Diagnostics and Disease Prediction with AI Optimizationprovides useful insights into model creation, data preparation, and ethical issues for healthcare applications. The book covers all the c…

lieferbar in mind. 4 Wochen

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Intrapartum Ultrasound

Baseline Method at the Intrapartum Ultrasound Grand Challenge 2024.- Classification and Segmentation of Intrapartum Ultrasound Images with Deep Learning Models.- Accurate Fetal Head Descent Assessment Dur…

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Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0

This book is a comprehensive resource that delves into the integration of advanced artificial intelligence techniques within the context of modern industrial practices. It systematically explores how dist…

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Chatbots and Human-Centered AI

.- Understanding and Designing for Human-AI Interactions..- Analyzing Patterns of Conversational Breakdown in Human-Chatbot Customer Service Conversations..- Selecting Empathic Response Headers in Custome…

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Roi Yehoshua
Machine Learning Foundations

The Essential Guide to Machine Learning in the Age of AIMachine learning stands at the heart of today's most transformative technologies: advancing scientific discovery, reshaping industries, and transfor…

lieferbar ab 7.2.2026.

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Shixia Liu, Weikai Yang, Junpeng Wang, Jun Yuan
Visualization for Artificial Intelligence

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 ca…

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Modeling, Simulation and Computer Technology

.- A Secure and Energy-Efficient IoT Protocol for Smart Cities Using Fuzzy Logic and Blockchain Technology..- Building a secure enterprise network: a blueprint for SDP and SDN Integration..- A Comparative…

sofort lieferbar

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Elissaios Sarmas, Vangelis Marinakis, Haris Doukas
Artificial Intelligence for Energy Systems

This book focuses on creating an integrated library of learning models and optimization techniques to assist decision-making on issues in the energy and building sector. It provides modern solutions to en…

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Computational Intelligence in Data Science

.- Computer Vision for Real World Applications..- AI-Enhanced breast cancer diagnosis (BCD) using machine learning models with GA-SA Hybrid..- Efficient Medicinal Plant Leaf Classification Using MobileNet…

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Francesco Leofante, Matthew Wicker
Robust Explainable AI

The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models. While several approaches exist to generate…

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