An Augmented Modulated Deep Learning Based Intelligent Predictive Model for Brain Tumor Detection Using GAN Ensemble

S Sahoo, S Mishra, B Panda, AK Bhoi, P Barsocchi - Sensors, 2023 - mdpi.com
Brain tumor detection in the initial stage is becoming an intricate task for clinicians
worldwide. The diagnosis of brain tumor patients is rigorous in the later stages, which is a …

Sparse seismic data regularization in shot and trace domains using a residual block autoencoder based on the fast Fourier transform

AL Campi, RM Missagia - Geophysics, 2024 - library.seg.org
The increasing use of sparse acquisitions in seismic data acquisition offers advantages in
cost and time savings. However, it results in irregularly sampled seismic data, adversely …

Gain enhancement of microstrip patch array antenna for WIFI, WiMAX applications over rectangular patch antenna

B Bindu, P Dass - AIP Conference Proceedings, 2024 - pubs.aip.org
This research aims to create a unique microstrip patch array antenna to increase gain. This
antenna is appropriate for WLAN and WiMAX networks running at 3–10 gigahertz. The gain …

Evaluation of Superior Accuracy of Faster RCNN over Conventional Forensic Techniques in Image Tampering Detection

M Tamilselvi - 2024 2nd International Conference on Self …, 2024 - ieeexplore.ieee.org
The demand for digital image fraud detection is rapidly increasing in society due to the
importance of having certified images. The analysis encompasses the identification of …

Performance Comparison of ACO-OFDM with C-OFDM using 1024-QAM to Reduce BER in VLC System

A Ujwala, BA Vijayalakshmi - 2022 11th International …, 2022 - ieeexplore.ieee.org
Bit Error Rate (BER) is decreased by evaluating the effectiveness of the novel
Asymmetrically Clipped Optical Orthogonal Frequency Division Multiplexing (ACO-OFDM) …