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1. Water Indicator Measurement and Data Processing From Internet of Things Modules
2. AN INTERPRETABLE ECG-BASED APPROACH FOR DETECTING HEMODYNAMICALLY SIGNIFICANT ARRHYTHMIAS USING LIGHTWEIGHT MACHINE LEARNING MODELS
3. DEVELOPMENT OF THE DESIGN AND TECHNOLOGY FOR MANUFACTURING A COMBINED FIBER-OPTIC SENSOR USED FOR EXTREME OPERATING CONDITIONS
4. CORRELATION AND REGRESSION ANALYSIS IN ASSESSING THE RELATIONSHIP BETWEEN WATER INDICATORS: A BRIEF DESCRIPTION OF LONG-TERM MEASUREMENT DATA FROM BIOSENSORS
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