Deep Convolutional Neural Networks (CNNs) now match human accuracy in many image prediction tasks, resulting in a growing adoption in e-commerce, radiology, and other …
Deep learning now offers state-of-the-art accuracy for many prediction tasks. A form of deep learning called deep convolutional neural networks (CNNs) are especially popular on …
I Raeesi Vanani, S Majidian - Introduction to Internet of Things in …, 2021 - Springer
Broad utilization of internet of things in different industries and manufacturing segments, from healthcare to transportation and supply chain, smart house, city and smart medicine …
M Motamedi, F Portillo, M Saffarpour… - IEEE Embedded …, 2019 - ieeexplore.ieee.org
Modern convolutional neural networks (CNNs) in computer vision are trained on a large number of images from numerous categories to form rich discriminative feature extractors …
O Choudhari, M Chopade, S Chopde… - … Symposium on VLSI …, 2020 - ieeexplore.ieee.org
Convolutional Neural Network (CNN) is a special kind of feed-forward Artificial Neural Network that is generally used for fast and accurate image recognition. This capability is …
Deep Learning (DL) has unlocked unstructured data for analytics. It has enabled new applications, insights, and value in various domains, including enterprises, domain …
This chapter explores the unique challenges of secure Internet of Things (IoT) implementations, especially from the perspective of hardware security, and their solutions …
Abstract Deep Convolutional Neural Networks (CNNs) exhibit remarkable performance in many pattern recognition, segmentation, classification, and comprehension tasks that were …