IEEE

Real-Time Anomaly Detection in IoMT Networks Using Stacking Model and a Healthcare- Specific Dataset

Abstract: The Internet of Medical Things (IoMT) connects medical devices to enable real-time monitoring and personalized care, significantly enhancing patient health and well-being. However, this ...
IEEE

Optimized Blood Pressure Prediction With a Hybrid CNN–SVR Model Using Multiwavelength PPG

Abstract: Noninvasive vital sign monitoring, especially blood pressure (BP), is crucial for evaluating overall health and identifying early indicators of medical issues. Photoplethysmography (PPG) is ...
IEEE

Enhanced Lung Disease Classification Using CALMNet: A Hybrid CNN-LSTM-TimeDistributed Model for Respiratory Sound Analysis

Abstract: Lung diseases, such as asthma, pneumonia, and chronic obstructive pulmonary disease (COPD), pose considerable global health issues, making early diagnosis essential for effective treatment.
KRDO

‘I am the one able to take him down’: New Epstein emails detail his soured view of former close friend Donald Trump

(CNN) — For years, President Donald Trump has sought to downplay his ties to Jeffrey Epstein, the financier and convicted sex offender who for years moved in the same social circles as Trump in Palm ...
IEEE

SDCnet: A Deep Learning Network Model for Road Segmentation Based on CNN and Transformer

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
IEEE

Electric Vehicle Load Prediction Based on CNN-BILSTM and XGBoost Combined Model

Abstract: To address the issue of low prediction accuracy in single models due to the high volatility and redundancy of electric vehicle (EV) load data, this paper proposes a combined prediction ...
IEEE

Time Series Data Prediction Using CNN-BiLSTM based Attention-KAN Model

Abstract: Time series refers to a sequence of data points arranged in chronological order, typically used to represent the trend of a variable over time. These data points can be continuous, such as ...
IEEE

Lightweight Deep Learning Model for Breast Cancer Malignancy Prediction Using CNN on Embedded Edge Devices

Accurate diagnosis of breast cancer in a timely manner will be a key step to have the right treatment. This study suggests a minimalistic CNN architecture for malignancy prediction intended to be ...