Photonic Integrated Circuits
Explore optical waveguide theory, passive and dynamic devices, integrated systems, and advanced concepts like MOEMS and photonic band gap devices in photonic integrated circuits.
Waves and Resonance
Explore waves and resonance through musical instruments, vacuum cleaners, and invisibility cloaks. Discover the fascinating mathematics behind sound and light manipulation.
Advanced Topics in Probability and Random Processes
Explore advanced probability concepts, from random variables to Markov chains and martingale processes, enhancing your understanding of stochastic systems and their applications.
Satellite Attitude Dynamics and Control
This course is designed to introduce the participants the rotational kinematics first. Then it introduces the subject matter of satellite/rigid body rotational dynamics comprehensibly.
Digital Signal Processing and Its Applications
Explore digital signal processing fundamentals, including sampling, Fourier transforms, discrete systems, filters, and various transform techniques. Gain practical skills in filter design and implementation.
Swarms of Small Flying Robots - Advances in UAV Technology and Applications
Explore the fascinating world of small flying robots and swarms, their applications, and the cutting-edge research behind their development and autonomous capabilities.
Channel Characteristics for Terahertz Wireless Communications
Explore terahertz wireless communications, including photonics approaches, physical layer challenges, and innovative technologies for modulation, multiplexing, and secure directional links.
Security Challenges in 5G Wireless and Beyond
Experts discuss security challenges in NextG networks, exploring threats, detection, isolation, data exploitation, and privacy concerns while envisioning secure and efficient future communication infrastructures.
Spectral Factor Models and Pricing in Financial Markets - BQE Lecture
Explore financial modeling with Federico Bandi, covering spectral factor models, consumption components, and predictability in stocks and bonds, with insights on aggregation and pricing.
Enclosure Design of Electronics Equipment
Learn essential non-electrical aspects of electronic product realization, focusing on enclosure design for small electronics and effective design communication through sketching.
Electronics Equipment Integration and Prototype Building
Learn to design, simulate, and prototype electronics equipment enclosures, from concept to production. Covers 2D/3D modeling, user interfaces, assembly, and practical detailing for efficient and cost-effective manufacturing.
Impedance of the Esophagus - Jeffrey L. Conklin, MD - UCLA
Explore esophageal impedance measurement principles, applications in bolus movement and biomechanics, and its role in assessing motor function and various esophageal conditions.
Filtering in Computer Vision - Lecture 2
Learn about image filtering techniques, including noise reduction, edge detection, and smoothing. Explore applications in computer vision and gain hands-on experience with MATLAB functions for image processing.
CAP5415 - Digital Image Processing: Filtering and Noise Reduction - Lecture 3
Explore image processing fundamentals, including digitization, histograms, noise types, and filtering techniques. Learn about derivatives, averages, and correlation in the context of digital image analysis.
Intriguing Properties of Neural Networks - Spring 2021
Explore intriguing properties of neural networks, including adversarial attacks, transfer, training overlap, and semantic information in units. Analyze weaknesses and spectral instability.
CAP6412 - SmoothGrad: Removing Noise by Adding Noise - Lecture
Explore SmoothGrad, a technique for enhancing neural network visualization by adding noise to input images and averaging resulting sensitivity maps.
Image Filtering, Convolution, and Edge Detection
Explore image processing techniques including filtering, convolution, and edge detection. Learn about derivatives, noise reduction, and various edge detection algorithms for computer vision applications.
Filtering in Computer Vision - Lecture 2
Learn about image filtering techniques, including noise reduction, derivatives, convolution, and Gaussian filters. Explore practical applications in computer vision using MATLAB.
Visual Analysis of Extremely Dense Crowded Scenes
Analyzing dense crowd scenes using computer vision techniques for counting, detecting, and tracking individuals. Explores multiple data sources, context, and neighborhood motion to address challenges in extremely crowded environments.
Image Filtering in Computer Vision - Part II - Lecture 5
Explore advanced image filtering techniques, including derivative operations, Gaussian smoothing, and various filter types. Learn their applications and properties in computer vision.
Exploring the Depths: An Introduction to Marine Geology
Dive into the fascinating world of marine geology, exploring oceanographic systems, geophysical methods, and sampling techniques to uncover Earth's underwater secrets.