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ai applications with matlab and simulink

check out a variety of ai applications in automated driving, robotics, computer vision, and more

table of contents

predictive maintenance

korea institute of energy research develops ai-based predictive maintenance models for offshore wind power

imcorp uses deep learning for predictive maintenance of underground power cable systems

mondi implements health monitoring and predictive maintenance for plastics manufacturing processes

baker hughes develops predictive maintenance software for gas and oil extraction equipment

atlas copco minimizes cost of ownership using simulation and digital twins

john thompson (34:19)

john thompson predicts boiler trips with machine learning

daihatsu uses ai to classify engine sounds

metro de madrid adopts machine learning for predictive maintenance in tunnels

siemens develops health monitoring system for distribution transformers

medical devices

deep learning for medical imaging: covid-19 detection

ut austin researchers convert brain signals to words and phrases using wavelets and deep learning

assessing the risk of falls in older adults with inertial sensors and machine learning

using deep learning to reduce radiation exposure risk in ct imaging

kn

rapid prototyping of medical image analytics used in clinical decision support systems

control systems

a perspective on deploying reinforcement learning to augment classic control design

korea institute of energy research develops ai-based predictive maintenance models for offshore wind power

detecting oversteering with machine learning

automotive powertrain

mazda speeds next-generation engine development of skyactiv technology

application of robust statistical analysis and machine learning algorithms to obd threshold determination

vitesco technologies applies deep reinforcement learning in powertrain control

using fleet analytics and matlab to build strategies for bs-vi development

development of machine learning model using simulink

automated driving

autonomous electric tractor brings artificial intelligence to the field

automated lidar point-cloud annotation for sensor verification

metawave

developing vehicle perception technologies for autonomous, self-driving cars

using matlab on apache spark for adas feature usage analysis and scenario generation

continental

traffic sign recognition for driver assistance systems

manufacturing analytics

caeml research in hardware design and optimization using machine learning

sterlite minimizes optical fiber manufacturing cost using machine learning

gsk uses historical data to improve manufacturing processes and make better products

sifting through multisource data for safer battery materials with machine learning

power system analysis and design

ge, stadtwerke leipzig

ai and iot for power systems applications

utility asset condition monitoring and predictive maintenance using machine learning and artificial intelligence

hydro quebec

grid fault location detection using system simulation and machine learning

radar

analyzing satellite radar imagery with deep learning

pathpartner develops machine learning algorithms for radar-based automotive applications

robotics

usc

on the new generation of bio-inspired robots

computer vision

airbus uses artificial intelligence and deep learning for automatic defect detection

acquisition, technology & logistics agency applies gan to far-infrared images and generates color images

content-based image retrieval (cbir) using deep neural networks

building better engines with ai

snow hazard index using conditional gan and semantic segmentation

classification of anti-submarine warfare sonar targets using a deep neural network

developing an underwater 3d camera with range-gated imaging

artificial intelligence and augmented reality in healthcare

drass

smart maritime surveillance system

computational finance

aberdeen asset management implements machine learning–based portfolio allocation models in the cloud

hsbc

ccar neural networks model

quantuniversity.com

machine learning and ai in risk management

computational biology

physics-informed machine learning: cloud-based deep learning and acoustic patterning for organ cell growth research

stanford university

physics-informed machine learning: using the laws of nature to improve generalized deep learning models

riken develops a method to apply cnn to non-image data

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