Explainable machine learning models and architectures / edited by Suman Lata Tripathi and Mufti Mahmud.

Format:

Book

Contributor:

Tripathi, Suman Lata, editor.

Mahmud, Mufti, editor.

Language:

English

Subjects (All):

Machine learning.

Computer architecture.

Physical Description:

1 online resource (273 pages)

Edition:

1st ed.

Place of Publication:

Hoboken, NJ : John Wiley & Sons, Inc., [2023]

Summary:

EXPLAINABLE MACHINE LEARNING MODELS AND ARCHITECTURES This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, and the efficient hardware of machine learning applications. Machine learning and deep learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient machine-learning models. Many real-time applications like the processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems have a lot of scope for improvements in terms of accuracy, speed, computational powers, and overall power consumption. This book deals with the efficient machine and deep learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.

Contents:

Front Matter

A Comprehensive Review of Various Machine Learning Techniques / Pooja Pathak, Parul Choudhary

Artificial Intelligence and Image Recognition Algorithms / Siddharth, Anuranjana, Sanmukh Kaur

Efficient Architectures and Trade-Offs for FPGA-Based Real-Time Systems / LMI Leo Joseph, J Ajayan, Sandip Bhattacharya, Sreedhar Kollem

A Low-Power Audio Processing Using Machine Learning Module on FPGA and Applications / Suman Lata Tripathi, Dasari Lakshmi Prasanna, Mufti Mahmud

Synthesis and Time Analysis of FPGA-Based DIT-FFT Module for Efficient VLSI Signal Processing Applications / Siba Kumar Panda, Konasagar Achyut, Dhruba Charan Panda

Artificial Intelligence-Based Active Virtual Voice Assistant / Swathi Gowroju, G Mounika, D Bhavana, Shaik Abdul Latheef, A Abhilash

Image Forgery Detection / Madhusmita Mishra, Silvia Tittotto, Santos Kumar Das

Applications of Artificial Neural Networks in Optical Performance Monitoring / Isra Imtiyaz, Anuranjana, Sanmukh Kaur, Anubhav Gautam

Website Development with Django Web Framework / Sanmukh Kaur, Anuranjana, Yashasvi Roy

Revenue Forecasting Using Machine Learning Models / Yashasvi Roy, Sanmukh Kaur

Application of Machine Learning Optimization Techniques in Wind Resource Assessment / K Udhayakumar, R Krishnamoorthy

IoT to Scale-Up Smart Infrastructure in Indian Cities / Indu Bala, Simarpreet Kaur, Lavpreet Kaur, Pavan Thimmavajjala

Index

Also of Interest

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781394186570

1394186576

9781394186563

1394186568

OCLC:

1398234069