Biological Identification with Computers
Author : R. J. Pankhurst
Publisher : Academic Press
Page : 356 pages
File Size : 25,15 MB
Release : 1975
Category : Science
ISBN :
Author : R. J. Pankhurst
Publisher : Academic Press
Page : 356 pages
File Size : 25,15 MB
Release : 1975
Category : Science
ISBN :
Author : National Library of Medicine (U.S.)
Publisher :
Page : 1568 pages
File Size : 41,3 MB
Release :
Category : Medicine
ISBN :
First multi-year cumulation covers six years: 1965-70.
Author : New York Public Library. Research Libraries
Publisher :
Page : 584 pages
File Size : 29,30 MB
Release : 1976
Category : Congresses and conventions
ISBN :
Vols. for 1975- include publications cataloged by the Research Libraries of the New York Public Library with additional entries from the Library of Congress MARC tapes.
Author : James Elder
Publisher : Frontiers Media SA
Page : 220 pages
File Size : 44,15 MB
Release : 2024-08-22
Category : Science
ISBN : 2832553451
A principal challenge for both biological and machine vision systems is to integrate and organize the diversity of cues received from the environment into the coherent global representations we experience and require to make good decisions and take effective actions. Early psychological investigations date back more than 100 years to the seminal work of the Gestalt school. Yet in the last 50 years, neuroscientific and computational approaches to understanding perceptual organization have become equally important, and a full understanding requires integration of all three approaches. This highly interdisciplinary Research Topic welcomes contributions spanning Computer Science, Psychology, and Neuroscience, with the aim of presenting a single, unified collection that will encourage integration and cross-fertilization across disciplines.
Author :
Publisher :
Page : 864 pages
File Size : 37,37 MB
Release : 1975
Category : Botany
ISBN :
Author : Laura M. Roa Romero
Publisher : Springer Science & Business Media
Page : 1978 pages
File Size : 37,11 MB
Release : 2013-10-01
Category : Technology & Engineering
ISBN : 3319008463
The general theme of MEDICON 2013 is "Research and Development of Technology for Sustainable Healthcare". This decade is being characterized by the appearance and use of emergent technologies under development. This situation has produced a tremendous impact on Medicine and Biology from which it is expected an unparalleled evolution in these disciplines towards novel concept and practices. The consequence will be a significant improvement in health care and well-fare, i.e. the shift from a reactive medicine to a preventive medicine. This shift implies that the citizen will play an important role in the healthcare delivery process, what requires a comprehensive and personalized assistance. In this context, society will meet emerging media, incorporated to all objects, capable of providing a seamless, adaptive, anticipatory, unobtrusive and pervasive assistance. The challenge will be to remove current barriers related to the lack of knowledge required to produce new opportunities for all the society, while new paradigms are created for this inclusive society to be socially and economically sustainable, and respectful with the environment. In this way, these proceedings focus on the convergence of biomedical engineering topics ranging from formalized theory through experimental science and technological development to practical clinical applications.
Author : Zimo Zhou
Publisher : OAE Publishing Inc.
Page : 24 pages
File Size : 15,77 MB
Release : 2023-10-28
Category : Computers
ISBN :
Plant diseases pose a significant threat to the economic viability of agriculture and the normal functioning of trees in forests. Accurate detection and identification of plant diseases are crucial for smart agricultural and forestry management. Artificial intelligence has been successfully applied to agriculture in recent years. Many intelligent object recognition algorithms, specifically deep learning approaches, have been proposed to identify diseases in plant images. The goal is to reduce labor and improve detection efficiency. This article reviews the application of object detection methods for detecting common plant diseases, such as tomato, citrus, maize, and pine trees. It introduces various object detection models, ranging from basic to modern and sophisticated networks, and compares the innovative aspects and drawbacks of commonly used neural network models. Furthermore, the article discusses current challenges in plant disease detection and object detection methods and suggests promising directions for future work in learning-based plant disease detection systems.
Author : Renaud Fortuner
Publisher :
Page : 584 pages
File Size : 29,68 MB
Release : 1993
Category : Architecture
ISBN :
Author : Pavel Kömer
Publisher : Springer
Page : 446 pages
File Size : 12,25 MB
Release : 2014-06-13
Category : Technology & Engineering
ISBN : 331908156X
This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at IBICA2014, the 5th International Conference on Innovations in Bio-inspired Computing and Applications. The aim of IBICA 2014 was to provide a platform for world research leaders and practitioners, to discuss the full spectrum of current theoretical developments, emerging technologies, and innovative applications of Bio-inspired Computing. Bio-inspired Computing remains to be one of the most exciting research areas, and it is continuously demonstrating exceptional strength in solving complex real life problems. The main driving force of the conference was to further explore the intriguing potential of Bio-inspired Computing. IBICA 2014 was held in Ostrava, Czech Republic and hosted by the VSB - Technical University of Ostrava.
Author : Monika Mangla
Publisher : CRC Press
Page : 617 pages
File Size : 18,77 MB
Release : 2022-08-04
Category : Computers
ISBN : 1000565726
This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists, and academicians to cover a vast selection of topics in ML, starting with the rudiments of machine learning approaches and going on to specific applications in healthcare and industrial automation. The book begins with an overview of the ethics, security and privacy issues, future directions, and challenges in machine learning as well as a systematic review of deep learning techniques and provides an understanding of building generative adversarial networks. Chapters explore predictive data analytics for health issues. The book also adds a macro dimension by highlighting the industrial applications of machine learning, such as in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.