Explainable machine learning models and architectures / edited by Suman Lata Tripathi and Mufti Mahmud.
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| Online Access: |
Full Text (via Wiley) |
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, NJ : Beverly, MA :
John Wiley & Sons, Inc. ; Scrivener Publishing,
2023.
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| Subjects: |
Table of 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