Recent Trends in Sensor Research & Technology

Recent Trends in Sensor Research & Technology

Recent Trends in Sensor Research & Technology [2393-8765(e)] is a peer-reviewed hybrid open-access journal launched in 2014 aiming to publish original, rigorous, and scholarly contributions in the field of Sensor research and technology. The Journal intends to publish Research/Review/Short articles in the area of Sensor research.

• Magnetic Sensors: Hall-effect sensors, anisotropic magnetoresistance, giant magnetoresistance, tunnel magnetoresistance, giant magnetoimpedance, fluxgate sensors, magnetometers, magnetic-field sensing, and magnetic sensing materials.
• Electrical and Electronic Sensors: Resistive, capacitive, inductive, piezoelectric, electrostatic, electrochemical, current, voltage, impedance, conductivity, and electronic sensing technologies.
• Temperature and Thermal Sensors: Thermistors, thermocouples, resistance-temperature detectors, infrared sensors, thermal imaging, temperature-monitoring systems, and smart thermal sensing.
• Pressure, Force and Strain Sensors: Pressure transducers, load cells, strain gauges, piezoresistive sensors, tactile sensors, force sensors, stress sensors, and structural-load monitoring.
• Optical and Photonic Sensors: Fiber-optic sensors, photodetectors, optical interferometric sensors, fluorescence sensors, spectroscopic sensors, photonic sensors, laser-based sensing, and optical imaging systems.
• Biosensors and Biomedical Sensors: Electrochemical biosensors, optical biosensors, wearable biosensors, glucose sensors, biomarker detection, lab-on-chip sensors, point-of-care sensing, implantable sensors, and biomedical monitoring.
• Electrophysiological and Physiological Monitoring: EEG, ECG, EMG, EOG, evoked potentials, heart-rate monitoring, oxygen saturation sensing, respiratory monitoring, brain-computer interfaces, and physiological signal acquisition.
• Chemical and Gas Sensors: Gas detection, chemical sensing, electrochemical sensors, semiconductor gas sensors, volatile organic compound detection, pH sensors, ion-selective sensors, and chemical monitoring.
• Environmental Sensors: Air-quality sensors, water-quality sensors, soil sensors, humidity sensors, pollution monitoring, weather sensing, radiation sensors, and environmental monitoring networks.
• MEMS and NEMS Sensors: MEMS accelerometers, gyroscopes, pressure sensors, inertial sensors, microcantilevers, nanoelectromechanical sensors, microsensors, and integrated microsystems.
• Smart and Intelligent Sensors: Smart sensors, self-calibrating sensors, self-diagnostic sensors, adaptive sensors, intelligent transducers, programmable sensing systems, and autonomous sensing devices.
• AI-Enabled Sensors and Intelligent Vision Systems: AI sensors, machine-vision sensors, smart cameras, neuromorphic vision sensors, event-based cameras, embedded AI, edge intelligence, sensor-side inference, and intelligent image acquisition.
• Sensor Fusion: Multisensor data fusion, homogeneous and heterogeneous sensor fusion, state estimation, Kalman filtering, Bayesian fusion, data-level fusion, feature-level fusion, decision-level fusion, and multimodal sensing.
• Wireless Sensor Networks: Sensor nodes, routing, localization, energy-efficient protocols, distributed sensing, low-power communication, network reliability, environmental WSNs, industrial WSNs, and remote monitoring.
• IoT-Based Sensor Systems: Internet of Things sensing, cloud-connected sensors, remote monitoring, smart homes, industrial IoT, agricultural IoT, healthcare IoT, smart-city sensing, and connected sensor platforms.
• Wearable and Flexible Sensors: Wearable electronics, smart textiles, flexible sensors, stretchable sensors, skin-mounted devices, motion tracking, physiological monitoring, and human-activity sensing.
• Structural Health Monitoring: Sensors for bridges, buildings, roads, dams, aerospace structures, pipelines, vibration sensing, crack detection, deformation monitoring, acoustic emission, and predictive infrastructure maintenance.
• Acoustic and Ultrasonic Sensors: Sonar, acoustic sensing, ultrasonic transducers, nondestructive testing, acoustic emission, underwater sensing, distance measurement, and industrial inspection.
• LIDAR and Range-Sensing Technologies: Flash LIDAR, time-of-flight sensors, laser ranging, depth sensing, 3D mapping, SLAM-supporting sensors, obstacle detection, and autonomous navigation sensing.
• Radar and Microwave Sensors: Radar sensors, microwave sensing, Doppler sensors, automotive radar, motion sensing, remote detection, microwave imaging, and high-frequency sensing.
• Space-Based and Remote Sensing: Satellite sensors, electro-optical sensors, radar sensors, hyperspectral sensors, Earth-observation sensors, surveillance sensing, airborne sensing, and remote environmental monitoring.
• Automotive and Transportation Sensors: Vehicle sensors, ADAS sensors, speed sensors, proximity sensors, tire-pressure sensors, inertial sensing, navigation sensors, traffic sensing, and autonomous-vehicle sensing.
• Industrial Sensors and Process Monitoring: Process sensors, flow sensors, level sensors, pressure sensors, vibration sensors, machine monitoring, industrial condition monitoring, process automation, and predictive maintenance.
• Agricultural and Food Sensors: Soil-moisture sensing, crop-health sensors, nutrient sensors, precision agriculture, food-quality sensors, freshness detection, agricultural IoT, and livestock monitoring.
• Sensor Materials and Functional Materials: Nanomaterials, graphene, carbon nanotubes, metal oxides, polymers, ceramics, piezoelectric materials, magnetoresistive materials, flexible materials, and functional sensing coatings.
• Nanotechnology-Based Sensors: Nanosensors, nanoparticle-based sensing, nanowire sensors, quantum-dot sensors, graphene sensors, nanocomposite sensors, and nano-enabled biosensing.
• Sensor Interfaces and Signal Conditioning: Analog front ends, amplifiers, filtering, ADCs, sensor excitation, noise reduction, calibration circuits, impedance matching, and low-power interface electronics.
• Sensor Calibration and Metrology: Calibration methods, measurement uncertainty, accuracy, precision, traceability, sensitivity, linearity, drift, hysteresis, reproducibility, and sensor characterization.
• Sensor Modelling and Simulation: Analytical modelling, finite-element modelling, multiphysics simulation, equivalent-circuit modelling, numerical modelling, sensor optimization, sensitivity analysis, and simulation-driven sensor design.
• Sensor Data Analytics: Sensor signal processing, feature extraction, pattern recognition, anomaly detection, time-series analysis, predictive analytics, and data-driven sensor interpretation.
• Machine Learning for Sensor Systems: Sensor classification, predictive sensing, calibration using machine learning, fault detection, activity recognition, sensor-data modelling, deep learning, and automated interpretation.
• Edge Computing and Sensor Intelligence: Edge AI, embedded processing, sensor-side computation, low-power inference, distributed intelligence, edge analytics, and real-time sensor decision systems.
• Energy Harvesting for Sensors: RF energy harvesting, solar energy harvesting, piezoelectric harvesting, vibration energy, thermal harvesting, self-powered sensors, batteryless sensing, and ultra-low-power sensor systems.
• Sensor Reliability and Fault Diagnosis: Sensor faults, drift detection, degradation analysis, self-diagnostics, redundancy, fault-tolerant sensing, reliability modelling, and sensor-health monitoring.
• Sensor Security and Privacy: Secure sensor networks, IoT sensor security, spoofing detection, sensor-data integrity, authentication, privacy-preserving sensing, and resilient sensing systems.
• Emerging Sensor Technologies: Quantum sensors, bio-integrated sensors, living sensors, printed sensors, implantable sensors, biodegradable sensors, neuromorphic sensing, digital twins for sensor systems, and next-generation smart sensing.