Artificial Intelligence in Mechanical and Industrial Engineering

Artificial Intelligence in Mechanical and Industrial Engineering

Davim, J. Paulo; Zindani, Divya; Kumar, Kaushik

Taylor & Francis Ltd

11/2024

142

Mole

9781032012964

Pré-lançamento - envio 15 a 20 dias após a sua edição

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SECTION I: State of Art. 1. An Overview of Machine Learning Implementation in Various Industrial Scenarios- Agriculture, Healthcare and Enterprise. SECTION II: Application towards Mechanical Engineering. 2. Artificial Intelligence in Predciting the Optimized Wear Behavior Parameters of Sintered Titanium Grade 5 Reinforced with Nano B4C Particles. 3. Tribological Behaviour of AL7068-Alumina-B4C Hybrid Composites and Optimization with DEMATEL Technique. 4. A Comparison of ACO and GA for Routing AGVs Via C#. 5. Intelligent Control Design Schemes of a Two-Link Robotic Manipulator. 6. Maize Leaf Disease Detection and Classification Using Deep Learning. SECTION III: Application towards Industrial Engineering. 7. Inspectorate Patterns for Cell Recognition in Cellular Manufacturing. 8. Optimization of Operating Parameters of Wire EDM. Index.
Cell Formation Problem;Machine Learning;AISI D2 Steel;Neural Networks;D2 Steel;fault Diagnosis;Main Effect Plot;Expert Systems;Orthogonal Array;Big Data Analytics;Benchmark Problem Set;Chaos Theory;Max Pooling Layer;Stir Casting;Ml Algorithm;Servo Voltage;Hyper-parameter Optimization;MMCs;Stir Casting Method;Robotic Manipulator;Rout AGVs;AGVs;Ant Colony Algorithm;Similar Pattern Module;AISI D2;WEDM Machine;Cryogenic Treatment;DEMATEL Method;Northern Leaf Blight;Cellular Manufacturing;CLs