
Machine Learning and Artificial Intelligence
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
This book presents the proceedings of MLIS 2023, the 5th International Conference on Machine Learning and Intelligent Systems, held as a hybrid event from 17-20 November 2023 in Macau, China. This annual conference aims to provide a platform for a knowledge exchange of the most recent scientific and technological advances in the field of ML and intelligent systems, and to strengthen links within the scientific community in related research areas. A total of 80 submissions were received for the conference, of which 20 papers were selected for presentation and publication in these proceedings following a rigorous peer-review process. Papers were assessed on originality, scientific/practical significance, compelling logical reasoning and language, and the selected papers cover a wide range of topics, and provide innovative and original ideas or results of general significance in the field of ML and intelligent systems.
Providing a current overview of developments in the fields of machine learning and intelligent systems, the book will be of interest to all those working in this field.
More details
Other editions
Additional editions
Content
- Intro
- Title Page
- Preface
- About the Conference
- Contents
- Compression and Decompression Using Deep Neural Network
- Encryption and Decryption Using Deep Neural Network
- Discovering Insights via Hybrid Thematic Analysis: A Case Study on Disaster Risk Reduction and Management for Legazpi City, Albay
- Accelerate the Development of Media Integration and Build a New Model of "One-Three-Five" Human Anatomy Teaching
- Apple Disease Recognition Based on Comprehensive Application of Residual Neural Network
- Sentence Similarity Using Modified Latent Semantic Analysis and Semantic Relations
- A Quantitative Comparison of Classification Methods for Plant Leaf Images
- Research on a Symbolic Cluster Analysis Algorithm Approaching to the Optimal Value
- Applying ChatGPT to Tackle the Side Effects of Personal Learning Environments in Higher Education: A Teacher and Teaching Perspective
- Social Web Analysis for Decision Support: A Case Study
- Prediction of Chargeable Weight in Global Distribution Network Optimization
- Satiric Content Detection Through Linguistic Features
- Contribution to a Better Digital Transformation Implementation: An Integrative Approach
- Usage of Machine Learning Methods for Cause-Effect Graph Feasibility Prediction
- Smart Mountain: A Solution Based on a Low-Cost Embedded System to Detect Urban Traffic in Natural Parks
- A Deep Fake Detection System Using Diffusion Model Based on Graph Based Image Segmentation
- Research of Agricultural Supply Chain Finance Based on Blockchain Technology: Findings from Chinese Industry
- Estimate of Capillary Oxygen Supply Capability Through Monte Carlo Simulation-Based Bayesian Inference
- Seismic Damage-Oriented Lifecycle Risk Cost Calculation for Cable-Stayed Bridge Infrastructure Using Fragility Method
- A New Method for Human Activity Recognition of Photoplethysmography Signals Using Wavelet Scattering Transform
- Subject Index
- Author Index
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.