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M.Tech. Mechanical Engineering
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Lecture 32: Fuzzy Min Max Neural Network for Pattern Recognition
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Lecture 7: Representing Derivatives - finite differences
Lecture 23: Towards Chomsky normal forms: elimination of useless symbols
Lecture 19
Lecture 18: Finding virtual displacements
Lecture 11: Manning's equation and normal depth
Lecture 31: Demo - One Dimensional flow
Lecture 39
Lecture 37: Mod-11 Lec-37 Stability in Steady Roll Maneuver
Lecture 38: Hidden Markov Model
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Lecture 26: Two - port Network parameters
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Lecture 32: Consistency & Coherence
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