Internet of things enabled convolutional neural networks: applications, techniques, challenges, and prospects

SA Ajagbe, MO Adigun, JB Awotunde… - IoT-enabled …, 2023 - taylorfrancis.com
The Internet of Things (IoT) has been proven useful for the interconnection of computing
devices embedded in objects to enable objects to send and receive data through the …

Incremental and approximate inference for faster occlusion-based deep cnn explanations

S Nakandala, A Kumar… - Proceedings of the 2019 …, 2019 - dl.acm.org
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 …

Incremental and approximate computations for accelerating deep CNN inference

S Nakandala, K Nagrecha, A Kumar… - ACM Transactions on …, 2020 - dl.acm.org
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 …

Prescriptive analytics in internet of things with concentration on deep learning

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 …

Octopus: Context-aware CNN inference for IoT applications

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 …

Hardware accelerator: implementation of CNN on FPGA for digit recognition

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 …

[图书][B] Query Optimizations for Deep Learning Systems

S Nakandala - 2022 - search.proquest.com
Deep Learning (DL) has unlocked unstructured data for analytics. It has enabled new
applications, insights, and value in various domains, including enterprises, domain …

Hardware Security in the Context of Internet of Things: Challenges and Opportunities

P Santikellur, RS Chakraborty… - Internet of Things and …, 2020 - taylorfrancis.com
This chapter explores the unique challenges of secure Internet of Things (IoT)
implementations, especially from the perspective of hardware security, and their solutions …

[图书][B] Efficient Inference using Deep Convolutional Neural Networks on Resource-Constrained Platforms

M Motamedi - 2019 - search.proquest.com
Abstract Deep Convolutional Neural Networks (CNNs) exhibit remarkable performance in
many pattern recognition, segmentation, classification, and comprehension tasks that were …