J
James Taylor
Researcher at Newcastle University
Publications - 1190
Citations - 43346
James Taylor is an academic researcher from Newcastle University. The author has contributed to research in topics: Laser & Fiber laser. The author has an hindex of 95, co-authored 1161 publications receiving 39945 citations. Previous affiliations of James Taylor include Institut national de la recherche agronomique & European Spallation Source.
Papers
More filters
Book
Modern Marketing Research: Concepts, Methods, and Cases
TL;DR: In this article, the authors present a survey of modern marketing research in terms of concepts, methods, and cases, with a focus on the principles of marketing and its application in the field of marketing.
Journal ArticleDOI
Automated quality control methods for sensor data: a novel observatory approach
TL;DR: This data-driven approach focuses on automated methods for defining a suite of plausibility test parameter thresholds, which scrutinize the data range and variance of each measurement type by employing a suites of binary checks.
Journal ArticleDOI
Intensity dependent time‐resolution and dynamic range of Photochron picosecond streak‐cameras
TL;DR: The dynamic range of operation of Photochron I and Photochron II picosecond streak cameras is shown to depend upon the time-resolution employed, and this increases to a value of 180 for 30-ps events.
Journal ArticleDOI
Wavelength and duration tunable sub-picosecond source using adiabatic Raman compression
P.C. Reeves-Hall,James Taylor +1 more
TL;DR: In this paper, a tunable source of subpicosecond pulses was demonstrated at a repetition rate of 10 GHz using adiabatic Raman compression of 10 ps pulses from an external cavity laser and an electro-absorption modulator.
Journal ArticleDOI
Comparing vineyard imagery acquired from Sentinel-2 and Unmanned Aerial Vehicle (UAV) platform
TL;DR: In this article, the authors compared the performance and limitation of a Sentinel-2 vegetation index in precision viticulture applications, in terms of correlation and variability assessment, compared to the same vegetation index derived from an unmanned aerial vehicle (UAV).