Compartir
Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (en Inglés)
Raj, Alex Noel Joseph ; Mahesh, Vijayalakshmi G. V. ; Nersisson, Ruban (Autor)
·
Engineering Science Reference
· Tapa Dura
Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (en Inglés) - Raj, Alex Noel Joseph ; Mahesh, Vijayalakshmi G. V. ; Nersisson, Ruban
$ 1.289.263
$ 2.578.526
Ahorras: $ 1.289.263
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Jueves 27 de Junio y el
Jueves 11 de Julio.
Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.
Reseña del libro "Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (en Inglés)"
Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.