An Artificial Neural Network Classifier for palm Motion categorization based on EMG signal

G Anitha, RT Prabu, P Nirmala… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
Electromyogram (EMG) signals have become more prevalent in recent years for the purpose
of hand and finger motion identification. On the other hand, the majority of research have …

An intelligent IoT enabled traffic queue handling system using machine learning algorithm

S Radhika, K Malathy, S Ranjith… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
Overcrowding, pollutants, and logistical delays have been exacerbated by the fast
expansion in the number of automobiles. The Internet of Things (IoT) is a new breakthrough …

A TinyML based Residual Binarized Neural Network for real-time Image Classification

C Srinivasan, P Sridhar, S Swathi - 2022 6th International …, 2022 - ieeexplore.ieee.org
Image processing is an important requirement in IoT applications such as robotics,
augmented reality, computer vision, Industry 4.0 etc. The capabilities of IoT devices for …

An efficient liver disease prediction based on deep convolutional neural network using biopsy images

S Bharathi, A Balaji, C Kalaivanan… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
The much more prevalent reason for chronic liver illness in the United States is a condition
known as nonalcoholic fatty liver disease (NAFLD). This condition affects thirty percent of …

Efficient classification of handwritten medical prescription recognition using alexnet and analysing the accuracy with novel CRNN algorithm

SS Tejaswini, A Rama… - … Conference on Advances …, 2023 - ieeexplore.ieee.org
The ultimate purpose of this investigation is to carry out an efficient classification of
handwritten medical prescription recognition by utilising a one-of-a-kind CRNN Algorithm …

Patient health monitoring system using smart IoT devices for medical emergency services

R Sreelakshmy, R Sruthy… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
When devices, applications, monitors, and network services are connected together, the
Internet of Things (IoT) is created, which allows these organizations to collect and share data …

An efficient object segmentation system based on U-Net for real-time satellite image

R Sabitha, A Titus, G Balachandran… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
When fundamental analysis is applied to a satellite picture, it is basically a sophisticated
image. Satellite technology breakthroughs and low-cost rocket launches have made it …

Generative Facial Prior Generative Adversarial Networks based Restoration of Degraded Facial images in Comparison of PSNR with Photo Upsampling via Latent …

D Shravan, G Ramkumar… - … on Advances in Data …, 2024 - ieeexplore.ieee.org
Applying a Novel Generative face Prior Generation Adversarial Network, this research aims
to restore damaged face photographs. U sing Peak Signal Noise Ratio (PSNR) as a metric …

A Real-Time Detection Method of Non-Metallic Threats from Restored Image using Blended Image Network

B Sukumar, A Balaji, D Lakshmi… - … on Smart Electronics …, 2022 - ieeexplore.ieee.org
Due to its excellent garment penetration and safety, passive millimeter waves have been
used in surveillance assessment. Nevertheless, limited resolution as well as inherent noise …

Accurate Short Text Classification for Improving Accuracy by using Bi-LSTM in comparison with LSTM

K Reddy, T Devi - 2023 Eighth International Conference on …, 2023 - ieeexplore.ieee.org
Improvement of accuracy is the goal in every term consisting text methods by using Bi-LSTM
and to perform comparison with LSTM. For the short text classification, the proposed system …