ARNN-QA: Adaptive Recurrent Neural Network with feature optimization for incremental learning-based Question Answering system

M Therasa, G Mathivanan - Applied Soft Computing, 2022 - Elsevier
The evolution of internet services has raised many information retrieval systems, and the use
of intelligent services for the Question Answering (QA) systems has been on ascending. QA …

Intelligent channel estimation in millimeter wave massive MIMO communication system using hybrid deep learning with heuristic improvement

N Suneetha, P Satyanarayana - International Journal of …, 2023 - Wiley Online Library
The major goal of millimeter wave (mmWave) multiple‐input multiple‐output (MIMO) systems
is to get effective channel state information (CSI). Most of the recent works use nuclear norm …

Damage Detection With Single Receiver by Multidirectional Dispersive Phononic Crystals

H Cao, W Li, Z Wang, F Tian, L Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Lamb wave receiver arrays are commonly utilized in nondestructive testing (NDT) and
structural health monitoring (SHM) systems to enhance the identification and localization …

Guided Wave SHM system for detection and quantification of damages in FPSOs storage tanks using data-driven algorithm

E Bertoldi, M Oliveira… - Structural Health …, 2023 - journals.sagepub.com
In this work, we propose a data-driven method to perform detection and quantification of
damage in guided wave data from Structural Health Monitoring. The data is from a full-scale …

Convolutional autoencoders and CGANs for unsupervised structural damage localization

R Junges, Z Rastin, L Lomazzi, M Giglio… - Mechanical Systems and …, 2024 - Elsevier
The present work introduces two unsupervised data-driven methodologies for processing
Lamb waves (LWs) to localize structural damage, specifically employing convolutional …

Design and development of counting-based visual question answering model using heuristic-based feature selection with deep learning

TM Welde, L Liao - Artificial Intelligence Review, 2023 - Springer
Abstract Visual Question Answering (VQA) is the most significant area that adopts both
computer vision techniques and natural language processing techniques. Among all the …

Automated SAR image segmentation and classification using modified deep learning

G Srinitya, D Sharmila, S Logeswari… - International Journal of …, 2023 - World Scientific
Synthetic Aperture Radar (SAR) represents a type of active remote sensing technology that
uses microwave electromagnetic radiation to produce and send data to the surface of a …

An efficient and low complex model for optimal RBM features with weighted score-based ensemble multi-disease prediction

TP Anish, PM Joe Prathap - Computer Methods in Biomechanics …, 2023 - Taylor & Francis
Multi-disease prediction is regarded as the capacity to simultaneously identify various
diseases that are expected to be affected an individual at a certain period. These multiple …

Optimized ensemble learning‐based student's performance prediction with weighted rough set theory enabled feature mining

N Sateesh, P Srinivasa Rao… - Concurrency and …, 2023 - Wiley Online Library
Currently, educational data mining act as a major part of student performance prediction
approaches and their applications. However, more ensemble methods are needed to …

Weighted entropy deep features on hybrid RNN with LSTM for glucose level and diabetes prediction

S Naveena, A Bharathi - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
Glucose level regulation with essential advice regarding diabetes must be provided to the
patients to maintain their diet for diabetes treatment. Therefore, the academic community has …