IEEE

An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification

Abstract: Bean rust and angular leaf spot pose significant challenges to bean cultivation, impacting yields. Prompt disease identification maximizes productivity, but traditional methods need ...

US Issues ‘Do Not Travel’ Advisory For Over 20 Countries: Check Complete List

The US State Department assigns Level 4 status based on factors such as armed conflict, terrorism, widespread crime, civil ...
IEEE

Hybrid CNN-Transformer Architecture With Xception-Based Feature Enhancement for Accurate Breast Cancer Classification

Abstract: Breast cancer is one of the most common causes of death in women worldwide. While accurate diagnosis it from histopathological images is vital, the process often relies heavily on ...
IEEE

A Hybrid Machine Learning Approach Utilizing CNN Feature Extraction with Traditional Classifier to Identify Strawberry Leaf Diseases

Abstract: Strawberry production is globally significant because it contains high nutrients. Strawberry leaf disease shapes a significant barrier to strawberry cultivation worldwide. Numerous ...
IEEE

SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers

Abstract: The adoption of modern encryption protocols such as TLS 1.3 has significantly challenged traditional network traffic classification (NTC) methods. As a consequence, researchers are ...
IEEE

Research on Sleep Stage Classification of Electroencephalogram Signals Based on CNN and LSTM

Abstract: Chronic sleep deprivation can seriously affect physical and mental health and increase the risk of many chronic diseases. Sleep staging methods can assess sleep quality, but the manual ...