[HTML][HTML] MFAN: multi-feature attention network for breast cancer classification
Cancer-related diseases are some of the major health hazards affecting individuals globally,
especially breast cancer. Cases of breast cancer among women persist, and the early …
especially breast cancer. Cases of breast cancer among women persist, and the early …
FLTrans-Net: Transformer-based feature learning network for wheat head detection
The accurate identification of wheat heads is critical for assessing production and managing
agricultural fields effectively. One major challenge lies in detecting overlap** and small …
agricultural fields effectively. One major challenge lies in detecting overlap** and small …
Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding
I Almubark - IEEE Access, 2024 - ieeexplore.ieee.org
The increase of Credit Card (CC) fraud in recent years requires the development of fraud
detection systems that are both efficient and robust. This paper explored the utilization of …
detection systems that are both efficient and robust. This paper explored the utilization of …
CoRAE: Energy compaction-based correlation pattern recognition training using autoencoder
Automatic Target Recognition (ATR) using Correlation Pattern Recognition (CPR) in IoT-
based applications encounters limitations like limited memory and inadequate …
based applications encounters limitations like limited memory and inadequate …
[HTML][HTML] An Efficient Fusion Network for Fake News Classification
Nowadays, it is very tough to differentiate between real news and fake news due to fast-
growing social networks and technological progress. Manipulative news is defined as …
growing social networks and technological progress. Manipulative news is defined as …
Explainable AI-driven model for gastrointestinal cancer classification
F Binzagr - Frontiers in Medicine, 2024 - frontiersin.org
Although the detection procedure has been shown to be highly effective, there are several
obstacles to overcome in the usage of AI-assisted cancer cell detection in clinical settings …
obstacles to overcome in the usage of AI-assisted cancer cell detection in clinical settings …
[HTML][HTML] A Stacking Ensemble Based on Lexicon and Machine Learning Methods for the Sentiment Analysis of Tweets
Sentiment is employed in various fields, such as collecting web-based opinions for the
formulation of governmental policies, measuring employee and customer satisfaction levels …
formulation of governmental policies, measuring employee and customer satisfaction levels …
[PDF][PDF] Pervasive Attentive Neural Network for Intelligent Image Classification Based on N-CDE's.
AW Abulfaraj - Computers, Materials & Continua, 2024 - cdn.techscience.cn
The utilization of visual attention enhances the performance of image classification tasks.
Previous attentionbased models have demonstrated notable performance, but many of …
Previous attentionbased models have demonstrated notable performance, but many of …
[PDF][PDF] Enhancing Ulcerative Colitis Diagnosis: A Multi-Level Classification Approach with Deep Learning.
HJ Alyamani - CMES-Computer Modeling in Engineering & …, 2024 - cdn.techscience.cn
The evaluation of disease severity through endoscopy is pivotal in managing patients with
ulcerative colitis, a condition with significant clinical implications. However, endoscopic …
ulcerative colitis, a condition with significant clinical implications. However, endoscopic …
Weight quantization retraining for sparse and compressed spatial domain correlation filters
Using Spatial Domain Correlation Pattern Recognition (CPR) in Internet-of-Things (IoT)-
based applications often faces constraints, like inadequate computational resources and …
based applications often faces constraints, like inadequate computational resources and …