Unlocking the potential of XAI for improved alzheimer's disease detection and classification using a ViT-GRU model
Alzheimer's Disease (AD) is a significant cause of dementia worldwide, and its progression
from mild to severe affects an individual's ability to perform daily activities independently …
from mild to severe affects an individual's ability to perform daily activities independently …
Enhancing lung abnormalities diagnosis using hybrid DCNN-ViT-GRU model with explainable AI: A deep learning approach
In this study, we propose a novel approach called DCNN-ViT-GRU, which combines deep
Convolutional Neural Networks (CNNs) with Gated Recurrent Units (GRUs) and the Vision …
Convolutional Neural Networks (CNNs) with Gated Recurrent Units (GRUs) and the Vision …
[HTML][HTML] Cardiovascular disease identification using a hybrid CNN-LSTM model with explainable AI
Cardiovascular disease (CVD) is a leading cause of death worldwide, with millions dying
each year. The identification and early diagnosis of CVD are critical in preventing adverse …
each year. The identification and early diagnosis of CVD are critical in preventing adverse …
[HTML][HTML] Enhancing breast cancer segmentation and classification: An Ensemble Deep Convolutional Neural Network and U-net approach on ultrasound images
Breast cancer is a condition where the irregular growth of breast cells occurs uncontrollably,
leading to the formation of tumors. It poses a significant threat to women's lives globally …
leading to the formation of tumors. It poses a significant threat to women's lives globally …
Comparison of Support Vector Machine (SVM) and Linear Regression (LR) for Stock Price Prediction
IPC Purnama, NLWSR Ginantra… - … on Informatics and …, 2023 - ieeexplore.ieee.org
Stocks are a type of investment with high risk and high returns because the data is dynamic.
One of the capital market participating companies is PT. Vale Indonesia or commonly known …
One of the capital market participating companies is PT. Vale Indonesia or commonly known …
Guaranteeing Correctness in Black-Box Machine Learning: A Fusion of Explainable AI and Formal Methods for Healthcare Decision-Making
N Khan, M Nauman, AS Almadhor, N Akhtar… - IEEE …, 2024 - ieeexplore.ieee.org
In recent years, Explainable Artificial Intelligence (XAI) has attracted considerable attention
from the research community, primarily focusing on elucidating the opaque decision-making …
from the research community, primarily focusing on elucidating the opaque decision-making …
Utilizing Deep Learning Architectures for Early Detection of Lung Diseases in Chest X-ray Images
ST Ahmed, MF Mahdin, S Barua, FS Abir… - … on Computer and …, 2023 - ieeexplore.ieee.org
In addressing the critical need for early detection of COVID-19 and viral pneumonia, our
study introduces an advanced system using deep learning for analyzing chest X-ray images …
study introduces an advanced system using deep learning for analyzing chest X-ray images …
Enhancing Waste Classification with Convolutional Neural Networks and Explainability Techniques: Power of Computer in Classification
K Gupta, P Arora, R Sharma… - … Security and Artificial …, 2023 - ieeexplore.ieee.org
India is having a huge population and due to this it suffers from a lot of human wastage
disposal problem to combat this issue a good waste Segregation model is required …
disposal problem to combat this issue a good waste Segregation model is required …
Application of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) Algorithm in Gold Price Prediction
NPJR Dewi, NLWSR Ginantra… - … on Cyber and IT …, 2023 - ieeexplore.ieee.org
Gold is a precious metal that is in great demand by the public as an investment tool. The
survey results stated that 58.5% of the 5.204 respondents chose gold as the most desirable …
survey results stated that 58.5% of the 5.204 respondents chose gold as the most desirable …
Exploring the differences between Multi-task and Single-task with the use of Explainable AI for lung nodule classification
L Fernandes, T Pereira… - 2024 IEEE 37th …, 2024 - ieeexplore.ieee.org
Currently, lung cancer is one of the deadliest diseases that affects millions of people
globally. However, Artificial Intelligence is being increasingly integrated with healthcare …
globally. However, Artificial Intelligence is being increasingly integrated with healthcare …