Neuware - Machine Learning Algorithms for Signal and Image ProcessingEnables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processingMachine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks.Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as:\* Speech recognition, image reconstruction, object classification and detection, and text processing\* Healthcare monitoring, biomedical systems, and green energy\* How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time\* Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detectionProfessionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

Bestandsnummer des Verk�ufers 9781119861829

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Machine Learning Algorithms for Signal and Image Processing
Verlag: Wiley Dez 2022
Erscheinungsjahr: 2022
Sprache: Englisch
ISBN-10: 1119861829
ISBN-13: 9781119861829
Einband: Buch
Zustand: Neu

�ber diesen Titel

Inhaltsangabe

Machine Learning Algorithms for Signal and Image Processing

Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing

Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks.

Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as:

Speech recognition, image reconstruction, object classification and detection, and text processing
Healthcare monitoring, biomedical systems, and green energy
How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time
Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection

Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

�ber die Autorin bzw. den Autor

Dr. Deepika Ghai is Assistant Professor of Signal and Image Processing at Lovely Professional University, India. Dr. Ghai received her PhD from Punjab Engineering College, India.

Dr. Suman Lata Tripathi is Professor of VLSI Design at Lovely Professional University, India. She is an IEEE senior member and received her PhD in microelectronics and VLSI from MNNIT, Allahabad.

Dr. Sobhit Saxena is Associate Professor at Lovely Professional University. He completed his PhD from IIT Roorkee in Nanomaterials.

Dr. Manash Chanda is Assistant Professor in the Department of ECE, Meghnad Saha Institute of Technology, India. He received his PhD in Engineering from Jadavpur University in 2018.

Dr. Mamoun Alazab is Associate Professor at the College of Engineering, IT and Environment at Charles Darwin University, Australia. He has published 150+ research papers in international journals and conferences, such as IEEE Transactions on Industrial Informatics

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Anbieterinformationen

Das Unternehmen AHA-BUCH GmbH: Seit der Gr�ndung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisg�nstig wie m�glich ihren B�cherwunsch zu erf�llen. Unsere Firma besch�ftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine W�nsche! Auf �ber 3700 m2 Fl�che haben wir �ber 100.000 B�cher, Modernes Antiquariat und Spiele auf Lager.

Zur Homepage des Verk�ufers

Unternehmensdaten des Verk�ufers

AHA-BUCH GmbH
Garlebsen 48, Einbeck, 37574, Germany

Gesch�ftsbedingungen und Versandinformationen

Verkaufsbedingungen

Allgemeine Gesch�ftsbedingungen und Kundeninformationen / Datenschutzerkl�rung

I. Allgemeine Gesch�ftsbedingungen

� 1 Grundlegende Bestimmungen

(1) Die nachstehenden Gesch�ftsbedingungen gelten f�r alle Vertr�ge, die Sie mit uns als Anbieter (AHA-BUCH GmbH) �ber die Internetplattformen AbeBooks und/oder ZVAB schlie�en. Soweit nicht anders vereinbart, wird der Einbeziehung gegebenenfalls von Ihnen verwendeter eigener Bedingungen widersprochen.

(2) Verbraucher im Sinne der nachstehenden Regelungen...

Mehr Information

Versandbedingungen

Wir liefern Lagerartikel innerhalb von 24 Stunden nach Erhalt der Bestellung aus.
Barsortimentsartikel, die wir �ber Nacht geliefert bekommen, am darauffolgenden Werktag.
Unser Ziel ist es Ihnen die Artikel in der �konomischten und effizientesten Weise zu senden.

Impressum & Info zum Verk�ufer