Témoignages clients
Découvrez comment les ingénieurs et les chercheurs du monde entier utilisent MATLAB pour élaborer des modèles prédictifs à partir de données d'ingénierie, de production et business.
Autoliv
Automated LiDAR Point-Cloud Annotation for Sensor Verification
Automatisation et machines industrielles
Mondi
Contrôle d'état et maintenance prédictive basés sur les statistiques pour concevoir des processus industriels avec le Machine Learning
Services publics et énergie
Baker Hughes
Logiciel de maintenance prédictive pour les équipements d'extraction de gaz et de pétrole utilisant l'analyse de données et le Machine Learning
Continental
Traffic Sign Recognition for Driver Assistance Systems
Cummins
A Perspective on Deploying Reinforcement Learning to Augment Classic Control Design
Ford
Using MATLAB on Apache Spark for ADAS Feature Usage Analysis and Scenario Generation
Automotive
Honda
Fleet Analytics to build strategies for BS VI Development
Appareils médicaux
IDNEO
Développement d'algorithmes embarqués de computer vision et de Machine Learning pour l'interprétation des résultats de groupes sanguins
Semi-conducteurs
Infineon
Le Machine Learning en tant que service avec MATLAB Production Server
PathPartner
PathPartner Develops Machine Learning Algorithms for Radar-Based Automotive Applications
Automobile
Mahindra
Modélisation d'un système d'évaluation de l'état de la route avec le Machine Learning
Rolls-Royce
Simulation and Modelling Advances in the Field of Aero engines
Safran
Simulation & Predictive Maintenance Application
U.S. Air Force and U.S. Navy
U.S. Air Force and U.S. Navy Accelerate Test Data Analysis
Baker Hughes
Predictive Maintenance for Gas and Oil Extraction Equipment Using Data Analytics and Machine Learning
BuildingIQ
Big Data Applied to Big Buildings to Give Big Savings on Big Energy Bills
GE, Stadtwerke Leipzig
AI and IoT for Power Systems Applications
Hydro Quebec
Grid Fault Location Detection Using System Simulation and Machine Learning
Mondi
Statistics-Based Health Monitoring and Predictive Maintenance for Manufacturing Processes with Machine Learning
RWE Renewables, Hydro Quebec, IMCORP
Utility Asset Condition Monitoring and Predictive Maintenance using Machine Learning and Artificial Intelligence
Shanghai Electric
Build and Deploy Cost-Saving Enterprise Software for Planning and Designing Distributed Energy Systems
Sterlite
Sterlite Minimizes Optical Fiber Manufacturing Cost Using Machine Learning
Battelle
Neural Bypass Technology Restores Movement to a Paralyzed Man’s Arm and Hand
GSK
GSK Uses Historical Data to Improve Manufacturing Processes and Make Better Products
IDNEO
Developing Embedded Computer Vision and Machine Learning Algorithms for Interpreting Blood Type Results
Kinesis Health Technologies
Assessing the Risk of Falls in Older Adults with Inertial Sensors and Machine Learning
Stanford University
Sifting Through Multisource Data for Safer Battery Materials with Machine Learning
CAEML
CAEML Research in Hardware Design and Optimization Using Machine Learning
Aberdeen Asset Management
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
ASML
Virtual Metrology Technology for Semiconductor Manufacturing with Machine Learning
Infineon
Machine Learning as a Service with MATLAB Production Server
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