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ML-Based Anomaly Detection In Healthcare Systems Using ESP32 Microcontroller
Continuous Monitoring Of Patient Vital Signs Through Wireless Body Area Networks (WBANs) Is Increasingly Central To Modern Healthcare, Yet Validating Anomaly-detection Pipelines On Real Hospital Networks Is Costly, Ethically Constrained, An...
LRFS : Online Shopper's Behaviour - Based Efficient Customer Segmentation Model
Online Shopping Has Become A Dominant Platform In Modern Digital Commerce. Understanding Customer Behavior Is Essential For Improving Marketing Strategies And Increasing Revenue. This Paper Proposes An Enhanced Customer Segmentation Model N...
EPILEPTIC SEIZURE RISK ANALYSIS USING EEG SIGNALS
Epileptic Seizure Is A Sudden Neurological Event Caused By Abnormal Electrical Activity In The Human Brain. These Events Can Significantly Disrupt Patient Safety And Quality Of Life. Early Prediction Of Such Events Is Essential For Enabling...
CBIR: Enhancing Image Retrieval Through AutoEncoders And Metric-Based Search
The Exponential Growth Of Visual Data Demands Robust Content-Based Image Retrieval (CBIR) Systems That Ac- Curately And Efficiently Retrieve Relevant Images. In This Paper, We Present A Novel CBIR Framework That Integrates AutoEncoders For...