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The conclusion(s) reached were correct and supported research.

References are primarily peer reviewed professional journals or other approved sources.

• Sensor technology for smart human-care services by applying Big Data techniques
• Implementation of Deep learning techniques for Sensor Technology in IoT
• IoT systems analysis, modeling, and simulation using Big Data
• IoT technologies and applications in eHealth using Data Mining
• Data and knowledge mining for smart human-care services through sensors
• IoT solutions for well-being and active aging using Data Mining techniques
• Energy-efficient IoT Big Data acquisition techniques
• Privacy and security related to IoT and Big Data
• IoT and Big Data analytics on energy-constrained platforms
• Optimization, control, and automation of sensor-based IoT applications using Data Mining
• IoT and Big Data programming model
• Architecture and protocols for IoT and Big Data
• Emerging sensor-based, hardware architectures for IoT and Big Data
• Smart cities and systems using Big Data
• IoT Big Data storage and processing techniques
• Fault-tolerant and redundant systems for IoT by applying Data Mining
• IoT based on various types of sensors.