Course: Industrial Applications of AI
Modules:
About the Specialization, About the Course, Machine Learning(ML) Fundamentals and Principles - PART I, Machine Learning(ML) Fundamentals and Principles - PART II, Automated Vehicle Support using ML - PART I, Automated Vehicle Support using ML - PART II, Fraud System Diagnosis using ML - PART I, Fraud System Diagnosis using ML - PART II, Deep Learning-based Shop Floor Management - PART I, Deep Learning-based Shop Floor Management - PART II, Neural Networks-based Ground Water Quality Distribution Analysis, Potential Applications of AI in Healthcare - Discussion - PART I, Potential Applications of AI in Healthcare - Discussion - PART II, Image Classification in IoT Devices - Case Study - PART I, Image Classification in IoT Devices - Case Study - PART II, Remotely Piloted Aircraft - Case Study - PART I, Remotely Piloted Aircraft - Case Study - PART II, AI Products - A survey, Education Quality updates in Design, Development and Delivery using ML - PART I, Education Quality updates in Design, Development and Delivery using ML - PART II
ANN Architecture for Substations - PART I, ANN Architecture for Substations - PART II, ANN Architecture for Substations - PART III, Load Prediction in Substations - A Case Study - PART I, Load Prediction in Substations - A Case Study - PART II, Geo-spatial Database for Power Infrastructure - PART I, Geo-spatial Database for Power Infrastructure - PART II, Geo-spatial Database for Power Infrastructure - PART III, Feature Extraction of Substation using Deep Learning - A Case study - PART I, Feature Extraction of Substation using Deep Learning - A Case study - PART II, Feature Extraction of Substation using Deep Learning - A Case study - PART III, Power Grid Stability and Secondary Substation Model - PART I, Power Grid Stability and Secondary Substation Model - PART II, Power Grid Stability and Secondary Substation Model - PART III, Estimation of Unknown Secondary Substation Profile - A Case Study, Characterization of Substation Site Features - Practisioner Approach, CNN-based Preliminary Siting of Substation - A Case Study, Substation Device Diagnosis using Unsupervised ML Algorithm - PART I, Substation Device Diagnosis using Unsupervised ML Algorithm - PART II, CNN-based Infrared Fault Image Diagnosis - A Case Study - PART I, CNN-based Infrared Fault Image Diagnosis - A Case Study - PART II, CNN-based Infrared Fault Image Diagnosis - A Case Study - PART III
Impact of ML in O&G Industry - A Review - PART I, Impact of ML in O&G Industry - A Review - PART II, Seismic Data Processing Techniques(Salt Body Delienation) - PART I, Seismic Data Processing Techniques(Salt Body Delienation) - PART II, Geomodeling Process, ML in Reservoir Engineering(Reservoir Rock Classification) - PART I, ML in Reservoir Engineering(Reservoir Rock Classification) - PART II, Optimal Production Engineering in O&G Industry - PART I, Optimal Production Engineering in O&G Industry - PART II, AI in Upstream Sector of O&G Industry - PART I, AI in Upstream Sector of O&G Industry - PART II, Advances in AI Technology for O&G Industry - PART I, Advances in AI Technology for O&G Industry - PART II, Fundamentals of Data Handling in O&G Industry - PART I, Fundamentals of Data Handling in O&G Industry - PART II, Fundamentals of Data Handling in O&G Industry - PART III, SOA of Big Data for O&G Industry - PART I, SOA of Big Data for O&G Industry - PART II
ML for Civil Engineering - PART I, ML for Civil Engineering - PART II, ML for Civil Engineering - PART III, ML for Civil Engineering - PART IV, Cloud Data collection about the Construction Site, Generic ML Modelling Framework for Civil Engineering Applications - PART I, Generic ML Modelling Framework for Civil Engineering Applications - PART II, Generic ML Modelling Framework for Civil Engineering Applications - PART III, Deep Learning Techniques in Construction Industry - PART I, Deep Learning Techniques in Construction Industry - PART II, ML Approach for Construction Management - PART I, ML Approach for Construction Management - PART II, CNN Based Planetary Lego Brick - PART I, CNN Based Planetary Lego Brick - PART II, CNN Based Planetary Lego Brick - PART III, AI in Transport Engineering - A Survey, Road Traffic Prediction - Bayesian Approach, ML for Naval Architecture - PART I, ML for Naval Architecture - PART II, ML for Naval Architecture - PART III, ML for Naval Architecture - PART IV, AI Based Wave Height Forecasting - A Case Study
AI Impacts in Education - PART I, AI Impacts in Education - PART II, AI Open Source Software Libraries - PART I, Computer Vision (Image and PDF) - PART I, Computer Vision (Image and PDF) - PART II, Computer Vision (Image and PDF) - PART III, Computer Vision (Image and PDF) - PART IV, Language and Language Reasoning - PART I, Language and Language Reasoning - PART II, Speech Recognition - PART I, Speech Recognition - PART II, Healthcare and Biology - PART I, Healthcare and Biology - PART II, Ethical Challenges in AI - PART I, Ethical Challenges in AI - PART II, Economy Implications due to AI - PART I, Economy Implications due to AI - PART II, Economy Implications due to AI - PART III, Policies and Strategies for AI