
Technologies and Innovation
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
This book constitutes the refereed proceedings of the 10th International Conference on Technologies and Innovation, CITI 2024, held in Guayaquil, Ecuador, during November 2024.
The 15 full papers presented in this volume were carefully reviewed and selected from 38 submissions. These papers have been organized under the following topical sections: Artificial intelligence in Agriculture; Natural language processing and semantic web; Machine learning; Software tools.
More details
Other editions
Additional editions

Content
.- Artificial Intelligence in Agriculture.
.- Morphological defects classification in coffee beans based on Convolutional neural networks.
.- Multiclass classification of dry bean grains using machine learning techniques.
.- Towards Smart Agriculture: An Overview of Big Data in the Agricultural Industry.
.- Application of Predictive Algorithms in a Web System to Optimize Ornamental Fish Sales at Granlevein Farm, Churute.
.- Web-based system for the diagnosis of canine diseases using data mining techniques.
.- Natural Language Processing and Semantic Web.
.- Language Technology-based Political Microtargeting Services.
.- Automatic Generation of Summaries and Questions to Support the Reading Comprehension Process.
.- PoliticPA 2024: Author Profiling Gender and Political Ideology of Politicians in Panama.
.- Role of semantic technologies in engineering andragogy ecosystem.
.- Machine learning.
.- Identification of diabetic retinopathy from retinography images using a convolutional neural network.
.- Microservices architecture to improve the performance of Machine Learning applications in eHealth.
.- Leveraging Data Science and Machine Learning for Predictive Analysis in Organizational Decision-Making.
.- Detection of scoliosis in X-ray images using a convolutional neural network.
.- Software tools.
.- Monitoring Software Tool to Prevent Data Leaks in a RESTful API.
.- Evaluation of the tool visualization of Interaction tracking in collaborative work in a forum activity in Moodle.
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.