What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Statistics
- Artificial intelligence
Raj Bridgelall mainly investigates Electronic engineering, Computer network, Wireless, Computer hardware and Interface.
His biological study spans a wide range of topics, including Location systems, Dual mode mobile, Bluetooth, Object and Wireless data.
His Computer network research incorporates themes from Terminal, Fixed access and Wireless network.
His Wireless study combines topics from a wide range of disciplines, such as Radio-frequency identification, Signal and Networking hardware.
His research investigates the connection between Computer hardware and topics such as Process that intersect with problems in Bar, Code, Central processing unit, Digital signal processor and Interference.
His research integrates issues of Identification, Data exchange, Portable data terminal, Host and Interactive kiosk in his study of Interface.
His most cited work include:
- Automatic and seamless vertical roaming between wireless local area network (WLAN) and wireless wide area network (WWAN) while maintaining an active voice or streaming data connection: systems, methods and program products (635 citations)
- Personal shopping system portable terminal (379 citations)
- Portable electronic terminal and data processing system (337 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Optics, Scanner, Electronic engineering, Signal and Computer hardware.
The Beam, Light beam and Detector research Raj Bridgelall does as part of his general Optics study is frequently linked to other disciplines of science, such as Chassis, therefore creating a link between diverse domains of science.
In his work, Reading and Location systems is strongly intertwined with Computer vision, which is a subfield of Scanner.
In his research, Wireless is intimately related to Radio-frequency identification, which falls under the overarching field of Electronic engineering.
Raj Bridgelall has included themes like Artificial intelligence and Code in his Signal study.
The Computer hardware study combines topics in areas such as Interface and Transceiver.
He most often published in these fields:
- Optics (15.70%)
- Scanner (14.53%)
- Electronic engineering (11.63%)
What were the highlights of his more recent work (between 2017-2021)?
- Real-time computing (9.88%)
- Global Positioning System (4.65%)
- Ride quality (8.72%)
In recent papers he was focusing on the following fields of study:
Raj Bridgelall mainly focuses on Real-time computing, Global Positioning System, Ride quality, Automotive engineering and Transport engineering.
His Real-time computing research is multidisciplinary, incorporating perspectives in Anomaly detection and Identification.
His studies examine the connections between Identification and genetics, as well as such issues in Sensor fusion, with regards to Geospatial analysis.
His studies in Global Positioning System integrate themes in fields like Data quality, Sharing economy, Outlier and Computer vision.
He has researched Ride quality in several fields, including Pavement management, Road roughness, International Roughness Index and Sensitivity.
His research integrates issues of Acoustics, Fbg sensor, Fiber Bragg grating and Optics in his study of Sensitivity.
Between 2017 and 2021, his most popular works were:
- Application of a Machine Learning Method to Evaluate Road Roughness from Connected Vehicles (10 citations)
- Road profile reconstruction using connected vehicle responses and wavelet analysis (8 citations)
- Railroad Track Condition Monitoring Using Inertial Sensors and Digital Signal Processing: A Review (8 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Statistics
- Artificial intelligence
His main research concerns Simulation, Global Positioning System, Accelerometer, Sensitivity and International Roughness Index.
The concepts of his Simulation study are interwoven with issues in Identification, Calibration, Pavement management, Convolution and Road roughness.
His studies deal with areas such as Wavelength and Ride quality as well as Sensitivity.
His research on Wavelength concerns the broader Optics.
His International Roughness Index research is multidisciplinary, relying on both Wavelet and Control theory.
As part of one scientific family, Raj Bridgelall deals mainly with the area of Real-time computing, narrowing it down to issues related to the Condition monitoring, and often Gyroscope and Miniaturization.
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