Using deep learning architectures for detection and classification of diabetic retinopathy
Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the
human eye and potentially leading to permanent blindness. The early detection of DR is …
human eye and potentially leading to permanent blindness. The early detection of DR is …
Multiclass sentiment analysis on COVID-19-related tweets using deep learning models
S Vernikou, A Lyras, A Kanavos - Neural Computing and Applications, 2022 - Springer
COVID-19 is an infectious disease with its first recorded cases identified in late 2019, while
in March of 2020 it was declared as a pandemic. The outbreak of the disease has led to a …
in March of 2020 it was declared as a pandemic. The outbreak of the disease has led to a …
Deep learning models for yoga pose monitoring
Activity recognition is the process of continuously monitoring a person's activity and
movement. Human posture recognition can be utilized to assemble a self-guidance practice …
movement. Human posture recognition can be utilized to assemble a self-guidance practice …
Deep learning models for forecasting aviation demand time series
The analysis along with the modeling of passenger demand dynamic, which deem to have
vital implications on the management and the operation within the entire aviation industry …
vital implications on the management and the operation within the entire aviation industry …
Comparative analysis of deep learning architectures and vision transformers for musical key estimation
The musical key serves as a crucial element in a piece, offering vital insights into the tonal
center, harmonic structure, and chord progressions while enabling tasks such as …
center, harmonic structure, and chord progressions while enabling tasks such as …
[HTML][HTML] Real-Time Detection of Face Mask Usage Using Convolutional Neural Networks
The widespread adoption of face masks has been a crucial strategy in mitigating the spread
of infectious diseases, particularly in communal settings. However, ensuring compliance …
of infectious diseases, particularly in communal settings. However, ensuring compliance …
Advanced Markov-based machine learning framework for making adaptive trading system
Stock market prediction and trading has attracted the effort of many researchers in several
scientific areas because it is a challenging task due to the high complexity of the market …
scientific areas because it is a challenging task due to the high complexity of the market …
Utilizing convolutional neural networks for resource allocation bottleneck analysis in cloud ecosystems
As cloud computing continues to evolve, efficiently managing resource allocation and
resolving system bottlenecks remain pivotal challenges. This paper explores the application …
resolving system bottlenecks remain pivotal challenges. This paper explores the application …
A new click-through rates prediction model based on Deep&Cross network
G Huang, Q Chen, C Deng - Algorithms, 2020 - mdpi.com
With the development of E-commerce, online advertising began to thrive and has gradually
developed into a new mode of business, of which Click-Through Rates (CTR) prediction is …
developed into a new mode of business, of which Click-Through Rates (CTR) prediction is …
Breast cancer classification of histopathological images using deep convolutional neural networks
Histopathology refers to the diagnosis of tissue diseases and involves the thorough
examination of tissues and cells under a microscope. Tissues are collected by biopsy and …
examination of tissues and cells under a microscope. Tissues are collected by biopsy and …