M. Tanveer – författare & böcker

Nyhet

Deep Learning Assessment of Neurological Imaging

Häftad, Engelska, 2026

1 781 kr

Skickas inom 10-15 vardagar

Deep Learning Assessment of Neurological Imaging provides an introduction to deep learning structures and pre-processing methods for detecting MRI anomalies. The book also provides a comprehensive accounting of deep learning research on MRI images for Alzheimer's disease, Parkinson's disease, and schizophrenia, and includes a discussion on current research issues and future objectives. This book is a valuable resource to guide new entrants in the field, helping them make a meaningful impact in their development efforts. The book concludes with a brief overview of problems and potential future advancements in the field.Introduces Deep Learning structures and pre-processing methods for detecting MRI anomaliesDiscusses current research issues and future research objectivesCompares a new method using open-access benchmark datasets using Deep Learning on MRI images to detect and classify Alzheimer's Disease, Parkinson's Disease, and Schizophrenia

Machine Intelligence and Signal Analysis

AvM. Tanveer,Ram Bilas Pachori

Häftad, Engelska, 2018

2 198 kr

Skickas inom 10-15 vardagar

The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.

Del 888 - Lecture Notes in Electrical Engineering

Pattern Recognition and Data Analysis with Applications

AvDeepak Gupta,Rajat Subhra Goswamim. fl.

Inbunden, Engelska, 2022

2 347 kr

Skickas inom 10-15 vardagar

This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world.

Del 888 - Lecture Notes in Electrical Engineering

Pattern Recognition and Data Analysis with Applications

AvDeepak Gupta,Rajat Subhra Goswamim. fl.

Häftad, Engelska, 2023

2 347 kr

Skickas inom 10-15 vardagar

This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with theintegration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG) and electromyogram (EMG).

Del 15286 - Lecture Notes in Computer Science

M. Tanveer – författare

Deep Learning Assessment of Neurological Imaging

Machine Intelligence and Signal Analysis

Pattern Recognition and Data Analysis with Applications

Pattern Recognition and Data Analysis with Applications

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