Self-attention based progressive generative adversarial network optimized with momentum search optimization algorithm for classification of brain tumor on MRI …

N Nagarani, R Karthick, MSC Sophia… - … Signal Processing and …, 2024 - Elsevier
This manuscript proposes a self-attention based progressive generative adversarial network
optimized with momentum search optimization algorithm for brain tumor classification on …

Balancing composite motion optimization using R-ERNN with plant disease

R Venkatesan, GN Balaji - Applied Soft Computing, 2024 - Elsevier
Soybean is a crop with a long cultivation history that plays a significant role on agricultural
field. Early diagnosis of Soybean Mosaic Virus Disease (SMVD) is must require, because it …

Binarized spiking neural networks optimized with Nomadic People Optimization-based sentiment analysis for social product recommendation

G Agarwal, SK Dinkar, A Agarwal - Knowledge and Information Systems, 2024 - Springer
Big data analytics is essential for many industries that use computing applications, like real-
time purchasing and e-commerce. Big data is used to promote products and improve the …

Dual-discriminator conditional generative adversarial network optimized with hybrid manta ray foraging optimization and volcano eruption algorithm for hyperspectral …

P Shanmugam, SAMJ Amali - Expert Systems with Applications, 2024 - Elsevier
A significant task on remote sensing field is anomaly detection in hyperspectral images
(HSI). Many scientists have created several relevant techniques developing deep network …

Analysis for Online Product Recommendation with recalling enhanced recurrent neural network-based sentiment

N Kamal, V Sathiya, D Jayashree, FH Shajin - Knowledge and Information …, 2024 - Springer
Recommendation system is used to filter the information according to the customer's
satisfaction. Based on consumer reviews, this approach discovers and compares product …

Optimized Pyramidal Convolution Shuffle attention neural network based fetal cardiac cycle detection from echocardiograms

GN Balaji, R Venkatesan - Biomedical Signal Processing and Control, 2024 - Elsevier
The precise identification of end-systolic (ES) and end-diastolic (ED) frames from ultrasound
films is crucial for automated biometric assessment and diagnosis of fetal echocardiograms …

Power Optimization in Wireless Sensor Network Using VLSI Technique on FPGA Platform

S Leelakrishnan, A Chakrapani - Neural Processing Letters, 2024 - Springer
Nowadays, the demand for high-performance wireless sensor networks (WSN) is increasing,
and its power requirement has threatened the survival of WSN. The routing methods cannot …

VAWGAN-NPOA: Energy-Aware Routing for Innocuous Data Transmission in WSN

J Sasidevi, R Dinesh Kumar… - IETE Journal of …, 2024 - Taylor & Francis
The protection and prediction of harmful activity in the wireless sensor network (WSN) are
vital research problems. To solve these problems, an Energy-Aware Routing using a …

Bolstering IoT security with IoT device type Identification using optimized Variational Autoencoder Wasserstein Generative Adversarial Network

JS Sankar, S Dhatchnamurthy… - Network: Computation in …, 2024 - Taylor & Francis
Due to the massive growth in Internet of Things (IoT) devices, it is necessary to properly
identify, authorize, and protect against attacks the devices connected to the particular …

Stock Price Volatility Prediction in Financial Big Data on XGBoost and ARIMA Models

Y Wang, Z Wang - 2023 International Conference on Ambient …, 2023 - ieeexplore.ieee.org
Stock financial market is a typical incomplete information economy. Price volatility is an
important characteristic of the stock market, it reflects the uncertainty of the market, but also …