Deep Learning in the Automotive Industry: Applications and Tools

Deep Learning in the Automotive Industry: Applications and Tools

30 April 2017

Nathan Ashcraft

Emil Djerekarov

Papers citing "Deep Learning in the Automotive Industry: Applications and Tools"

13 / 13 papers shown

Title
Semi-Supervised Approach for Early Stuck Sign Detection in Drilling Operations A. Hernandez-Matamoros Kohei Sugawara T. Kaneko Ryota Wada M. Ozaki 19 0 0 22 Feb 2023
Spiker: an FPGA-optimized Hardware acceleration for Spiking Neural Networks Alessio Carpegna A. Savino S. Di Carlo 17 31 0 18 Jan 2022
QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced Industry 4.0 Kevin Wallis C. Reich Blesson Varghese C. Schindelhauer 15 0 0 09 Nov 2021
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading Pouya Hallaj Zavareh Atefeh Safayari Hamidreza Bolhasani 21 9 0 11 Jul 2021
A Statistician Teaches Deep Learning G. Babu David L. Banks Hyunsoo Cho David Han Hailin Sang Shouyi Wang 23 2 0 29 Jan 2021
Turn Signal Prediction: A Federated Learning Case Study S. Doomra Naman Kohli Shounak Athavale FedML 33 11 0 22 Dec 2020
Analyzing the Performance of Smart Industry 4.0 Applications on Cloud Computing Systems R. Hussain A.R. Pakravan M. Salehi 11 7 0 11 Dec 2020
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters Rida El-Allami Alberto Marchisio Mohamed Bennai Ihsen Alouani AAML 19 38 0 09 Dec 2020
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles Sorin Grigorescu Tiberiu T. Cocias Bogdan Trasnea Andrea Margheri Federico Lombardi Leonardo Aniello 16 14 0 23 Sep 2020
Domain Adaptation with Joint Learning for Generic, Optical Car Part Recognition and Detection Systems (Go-CaRD) Lukas Stappen Xinchen Du Vincent Karas Stefan Müller Björn W. Schuller 3DPC 18 8 0 15 Jun 2020
Engineering AI Systems: A Research Agenda J. Bosch I. Crnkovic Helena Holmström Olsson AI4TS 34 100 0 16 Jan 2020
Global Adversarial Attacks for Assessing Deep Learning Robustness Hanbin Hu Mitt Shah Jianhua Z. Huang Peng Li AAML 19 4 0 19 Jun 2019
Deep Learning for IoT Big Data and Streaming Analytics: A Survey M. Mohammadi Ala I. Al-Fuqaha Sameh Sorour Mohsen Guizani 38 1,051 0 09 Dec 2017