Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: A deep learning approach

MS Ahmed, A Rahman, F AlGhamdi, S AlDakheel… - Diagnostics, 2023 - mdpi.com
Pneumonia, COVID-19, and tuberculosis are some of the most fatal and common lung
diseases in the current era. Several approaches have been proposed in the literature for the …

A trustworthy neural architecture search framework for pneumonia image classification utilizing blockchain technology

Y Yang, J Wei, Z Yu, R Zhang - The Journal of Supercomputing, 2024 - Springer
A chest X-ray radiography is still the global standard for diagnosing pneumonia. Despite
several studies, doctors still have trouble correctly diagnosing and classifying pneumonia …

Detection of Chest X-ray Abnormalities Using CNN Based on Hyperparameter Optimization

S Saifullah, B Yuwono, HC Rustamaji, B Saputra… - Engineering …, 2023 - mdpi.com
The chest X-ray (CXR) is a commonly used diagnostic imaging test that requires significant
expertise and careful observation due to the complex nature of the pathology and fine …

EO-CNN: Equilibrium Optimization-Based hyperparameter tuning for enhanced pneumonia and COVID-19 detection using AlexNet and DarkNet19

S Kiziloluk, E Sert, M Hammad, R Tadeusiewicz… - Biocybernetics and …, 2024 - Elsevier
Convolutional neural networks (CNN) have been increasingly popular in image
categorization in recent years. Hyperparameter optimization is a critical stage in enhancing …

[HTML][HTML] Analyzing the performance of a bio-sensor integrated improved blended learning model for accurate pneumonia prediction

S Lekshmy, KP Sridhar, MK Roberts - Results in Engineering, 2024 - Elsevier
Pneumonia has been considered a life-threatening disease for elderly human beings and
those with weakened immune systems in the present medical era. The contemporary …

A real-time image captioning framework using computer vision to help the visually impaired

KM Safiya, R Pandian - Multimedia Tools and Applications, 2023 - Springer
Advancements in image captioning technology have played a pivotal role in enhancing the
quality of life for those with visual impairments, fostering greater social inclusivity. The …

Real-time sound detection of rose-ringed parakeet using lstm network with mfcc and mel spectrogram

T Jose, JA Mayan - 2023 Annual International Conference on …, 2023 - ieeexplore.ieee.org
Nowadays, machine learning, deep learning, and artificial intelligence are essential in
identifying bird presence in rice fields and other agricultural applications. Automated …

Computer Vision-Assisted Object Detection and Handling Framework for Robotic Arm Design Using YOLOV5

A Maideen, A Mohanarathinam - ADCAIJ: Advances in Distributed …, 2023 - revistas.usal.es
In recent years, there has been a surge in scientific research using computer vision and
robots for precision agriculture. Productivity has increased significantly, and the need for …

Real-Time Photo Captioning for Assisting Blind and Visually Impaired People Using LSTM Framework

KM Safiya, R Pandian - IEEE Sensors Letters, 2023 - ieeexplore.ieee.org
This letter aims to tackle the problem of the visually impaired community by introducing an
innovative framework that integrates computer vision with voice-based photo captioning via …

Precision in Action: Harnessing Non-Redundant EMG Signals for HCI Evolution

A Maideen, A Mohanarathinam - 2023 Annual International …, 2023 - ieeexplore.ieee.org
In the ever-evolving landscape of Human-Computer Interaction (HCI), the need for more
efficient and user-friendly interfaces has become increasingly apparent. This study is …