Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service
S Aminizadeh, A Heidari, M Dehghan, S Toumaj… - Artificial Intelligence in …, 2024 - Elsevier
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
shaping community health and overall quality of life. Traditional healthcare methods, often …
shaping community health and overall quality of life. Traditional healthcare methods, often …
Implementation and use of disease diagnosis systems for electronic medical records based on machine learning: A complete review
Electronic health records are used to extract patient's information instantly and remotely,
which can help to keep track of patients' due dates for checkups, immunizations, and to …
which can help to keep track of patients' due dates for checkups, immunizations, and to …
A hybrid deep CNN model for abnormal arrhythmia detection based on cardiac ECG signal
Electrocardiogram (ECG) signals play a vital role in diagnosing and monitoring patients
suffering from various cardiovascular diseases (CVDs). This research aims to develop a …
suffering from various cardiovascular diseases (CVDs). This research aims to develop a …
Sparsely connected CNN for efficient automatic modulation recognition
This paper proposes a convolutional neural network (CNN), called SCGNet, for low-
complexity and robust modulation recognition in intelligent communication receivers …
complexity and robust modulation recognition in intelligent communication receivers …
ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images
Glaucoma is one of the prevalent causes of blindness in the modern world. It is a salient
chronic eye disease that leads to irreversible vision loss. The impediments of glaucoma can …
chronic eye disease that leads to irreversible vision loss. The impediments of glaucoma can …
Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model
Software defect prediction aims to find a reliable method for predicting defects in a particular
software project and assisting software engineers in allocating limited resources to release …
software project and assisting software engineers in allocating limited resources to release …
Self-supervised exclusive-inclusive interactive learning for multi-label facial expression recognition in the wild
Facial Expression Recognition (FER) is a long-standing but challenging research problem in
computer vision. Existing approaches mainly focus on single-label emotional prediction …
computer vision. Existing approaches mainly focus on single-label emotional prediction …
Dual-stream transformer with distribution alignment for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) aims to match the person images captured
by visible and infrared cameras and suffers from severe cross-modality discrepancy and …
by visible and infrared cameras and suffers from severe cross-modality discrepancy and …
Image retrieval using convolutional autoencoder, infogan, and vision transformer unsupervised models
ES Sabry, SS Elagooz, FE Abd El-Samie… - IEEE …, 2023 - ieeexplore.ieee.org
Query by Image Content (QBIC), subsequently known as Content-Based Image Retrieval
(CBIR), offers an advantageous solution in a variety of applications, including medical …
(CBIR), offers an advantageous solution in a variety of applications, including medical …
Advancements in intrusion detection: A lightweight hybrid RNN-RF model
Computer networks face vulnerability to numerous attacks, which pose significant threats to
our data security and the freedom of communication. This paper introduces a novel intrusion …
our data security and the freedom of communication. This paper introduces a novel intrusion …