Sensors for Next-Generation Electronic Systems and Technologies
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Peers Updated14 hours ago (2026-03-24 03:16:02)
Description
The text covers fiber optic sensors for biosensing and photo-detection, graphene and CNT-based sensors for glucose, cholesterol, and dopamine detection, and implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes in a comprehensive manner. It further presents a chapter on sensors for military and aerospace applications. It will be useful for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communication engineering.
The book
Discusses implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes
Covers applications of sensors in diverse fields including healthcare, industrial flow, consumer electronics, and military
Includes experimental studies such as the detection of biomolecules using SPR sensors and electrochemical sensors for biomolecule detection
Presents artificial neural networks (ANN) based industrial flow sensor modeling
Highlights case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors
The text presents case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors in a single volume. The text will be useful for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communication engineering
The book
Discusses implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes
Covers applications of sensors in diverse fields including healthcare, industrial flow, consumer electronics, and military
Includes experimental studies such as the detection of biomolecules using SPR sensors and electrochemical sensors for biomolecule detection
Presents artificial neural networks (ANN) based industrial flow sensor modeling
Highlights case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors
The text presents case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors in a single volume. The text will be useful for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communication engineering