GGLA-NeXtE2NET: A Dual-Branch Ensemble Network with Gated Global-Local Attention for Enhanced Brain Tumor Recognition
Due to the limited availability of training data, the diverse shapes of brain tumors among
different patients, inter-class similarity, and intra-class variation, achieving high recognition …
different patients, inter-class similarity, and intra-class variation, achieving high recognition …
Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications
Video abnormality behavior identification plays a pivotal role in improving the safety and
security of surveillance systems by identifying unusual events within video streams …
security of surveillance systems by identifying unusual events within video streams …
DeepHealth: Deep Learning-Powered Smart App for Personalized Health Tracking
In the age of smartphones, DeepHealth emerges as a groundbreaking application
transforming personal health monitoring. By harnessing smartphone sensors and advanced …
transforming personal health monitoring. By harnessing smartphone sensors and advanced …
An Intelligent Approach to Object Detection Using R-CNN
K Raja, S Pandey, SR Verma, S Sharma… - … on Advances in …, 2024 - ieeexplore.ieee.org
This research journal explores the implementation of region-based Convolutional Neural
Networks (R-CNN) for precise object detection. Following a systematic six-step approach, it …
Networks (R-CNN) for precise object detection. Following a systematic six-step approach, it …
Advancing the Future of Agricultural Sustainability: Utilizing Deep Learning for Plant Disease Detection
In the complex agricultural environment, precisely detecting plant diseases is the first and
most important step in preventing them. This identification process has changed drastically …
most important step in preventing them. This identification process has changed drastically …
Brain tumor classification utilizing Triple Memristor Hopfield Neural Network optimized with Northern Goshawk Optimization for MRI image
S Jaga, KR Devi - Biomedical Signal Processing and Control, 2024 - Elsevier
Brain tumor classification plays a significant role in exact detection of abnormal brain tissues
and facilitates the clinical diagnosis of patients. The computer vision researchers have …
and facilitates the clinical diagnosis of patients. The computer vision researchers have …
SAIF-Cnet: self-attention improved faster convolutional neural network for decentralized blockchain-based key management protocol
Abstract Internet of Things (IoT) devices are an essential part of several aspects of daily life
for people. They are utilized in a variety of contexts, including industrial monitoring …
for people. They are utilized in a variety of contexts, including industrial monitoring …
CitrusDiseaseNet: An integrated approach for automated citrus disease detection using deep learning and kernel extreme learning machine
S Sankaran, D Subbiah, BS Chokkalingam - Earth Science Informatics, 2024 - Springer
Citrus fruit and leaf diseases pose a significant threat to citrus production worldwide, leading
to substantial yield declines and economic losses. Diagnosing these diseases timely and …
to substantial yield declines and economic losses. Diagnosing these diseases timely and …
Automatic Breast Cancer Disease Detection and Diagnosis Using Learning Algorithm
S Anandhi, T Kumaragurubaran… - … on Advances in …, 2024 - ieeexplore.ieee.org
Breast cancer detection is still a crucial aspect of healthcare, requiring an accurate
diagnosis as soon as possible in order to begin treatment. In order to improve the accuracy …
diagnosis as soon as possible in order to begin treatment. In order to improve the accuracy …
A Novel Machine Learning Approach for Medical Recommendation System
Hospitals are using online recommender systems more and more frequently. Nowadays, the
vast majority of consumers research potential prescriptions online before consulting their …
vast majority of consumers research potential prescriptions online before consulting their …