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Lecture 33: Multivariate Stochastic Models - I
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Lecture 21: LTI Systems Described By Difference Equation
Lecture 19
Lecture 12: Fatigue loading and fatigue analysis
Lecture 2
Lecture 2: Central Dogma: Basics of DNA, RNA, Proteins
Lecture 22
Lecture 41: Electron Energy Loss Spectroscopy (EELS)
Lecture 37: Flat Top Sampling
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Lecture 37: Mod-01 Lec-37 Discretization of Navier Stokes Equations (Contd. )
Lecture 25: For and While Loops
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Lecture 18: Bayes Classifier for Gaussian Distribution
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Lecture 1: functional programming 1
Lecture 30: Bayes Theorem
Lecture 13: Voltage Regulation
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Lecture 28: Fourier Transform
Lecture 38: Systolic Implementation - II
Lecture 19: Analog Multipliers - I
Indirect Proportion (Inverse Variation)
Lecture 12: Heater Drive for Various Temperature Controllers
Ones and Tens Place Value
Lecture 29: Feature Selection : Sequential Forward and Backward Selection
Lecture 18: Positive real lemma proof I
Lecture 29: Pneumatic Control Systems - I
Lecture 35: Step Motor Drives BLDC Drives
Lecture 2: Linux Networking Commands
Lecture 17: Design of Compressor Blade: 3D Blade Shapes of Rotors and Stators
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