DCNN: Deep Convolutional Neural Network With XAI for Efficient Detection of Specific Language Impairment in Children-Reference-Cited by-同舟云学术

DCNN: Deep Convolutional Neural Network With XAI for Efficient Detection of Specific Language Impairment in Children

Published:2024 Issue: Volume:12 Page:101660-101678
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Md Hasib Khan¹^ORCID,Mridha M. F.²^ORCID,Humaion Kabir Mehedi Md³,Omar Faruk Kazi³,Khatun Muna Rabeya³,Iqbal Shahriar³,Islam Md Rashedul⁴^ORCID,Watanobe Yutaka⁵^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh

2. Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh

3. Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh

4. Department of Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh

5. Department of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10605817.pdf?arnumber=10605817

Reference38 articles.

1. Prediction of Specific Language Impairment in Children Using Speech Linear Predictive Coding Coefficients

2. A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions

3. A Signer Independent Sign Language Recognition with Co-articulation Elimination from Live Videos: An Indian Scenario

4. BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection

5. Black Box Attacks on Explainable Artificial Intelligence(XAI) methods in Cyber Security