This lecture overviews Music Genre Recognition that has many applications in the music industry and in the social/broadcasted media. It covers the following topics in detail: Audio Feature Extraction. Music Spectrograms. Sound Texture Selection. Machine Learning Algorithms. Gaussian Processes. Support Vector Machines. Music Recognition using Deep Neural Networks.
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Genomic Signal Analysis
This lecture overviews Genomic Signal Analysis that has many applications in Bioinformatics, Biology and Medicine. It covers the following topics in detail: DSP Algorithms for Genomic Sequences. Numerical representation of genomic sequences. DNA string analysis: Long range correlations in DNA, Identification of protein coding DNA regions, Signal Extraction for DNA microarray, Alignment methods, Phylogenetic analysis. Machine Learning in Genomic Signal Analysis.… Continue reading Genomic Signal Analysis
ECG Signal Analysis
This lecture overviews ECG Signal Analysis as well as other cardiology imaging methods that has many applications in cardiological disorder diagnosis and treatment. It covers the following topics in detail: Background nnowledge of ECG Signals. Issues in ECG Classification. Materials and Machine Learning Methods: Datasets, Data Preprocessing, Feature Selection, Dimensionality Reduction, Machine Learning Classifiers, Validation… Continue reading ECG Signal Analysis
3D Medical Image Acquisition
This lecture overviews 3D Medical Image Acquisition that has many applications in medical imaging and diagnosis. It covers the following topics in detail: 3D Computed Tomography (including Cone Beam Tomography and Micro-Computed Tomography). 3D Magnetic Resonance Tomography (including Functional MRI Magnetic Resonance Elastography, Diffusion MRI). 3D Ultrasonography. 3D Nuclear Tomography, Single-Photon Emission Tomography (SPECT) Positron… Continue reading 3D Medical Image Acquisition
2D Medical Image Acquisition
This lecture overviews 2D Medical Image Acquisition that has many applications in Medical diagnosis and treatment, as well as in Biology, Biomedical Engineering and Dentistry. It covers the following topics in detail: Radiography, Conventional Radiography (X-Ray), Fluoroscopy. Ultrasonography. Nuclear Scan, Scintigraphy. Elastography. Photoacoustic Imaging, Photoacoustic Microscopy (PAM).
Cryptography
This lecture overviews Cryptography that has many applications in Communications and Blockchain. It covers the following topics in detail: Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions, Secure Hash Algorithms, Merkle Hash Binary Tree, Homomorphic Encryption, Zero Knowledge Proof.