Results 181 to 190 of about 15,106 (288)

Transmission Raman Spectroscopy (TRS) for Accurate Authentication of API in Coated Hydroxychloroquine (HCQ) Tablets

Journal of Raman Spectroscopy, EarlyView.
We report the development and use of a transmission Raman spectroscopy (TRS) system for a more accurate but nonintrusive way of authentication of API in coated HCQ tablets which otherwise is not possible using the backscattered (BS) configuration of Raman spectroscopy. The coating interference is found to be almost zero in case of the TRS and a greater
Vijay Kumar, Khan Mohammad Khan, Hemant Krishna, Khageswar Sahu, Srinibas Satapathy, Shovan Kumar Majumder   +5 more
wiley   +1 more source

Sensors in Self-Driving Vehicles: A Detailed Literature Review and New Trends. [PDF]

Sensors (Basel)
Viktor P, Kiss G.
europepmc   +1 more source

Robust Spectroscopic Analysis Through Image‐Based Spectral Representation and Deep Learning Techniques

Journal of Raman Spectroscopy, EarlyView.
This study addresses calibration drift in Raman spectroscopy by transforming 1D spectra into 2D spider plot images processed by pretrained convolutional neural networks. This visualization strategy effectively converts detrimental spectral wavenumber shifts into simple image rotations, allowing the deep learning model to maintain high classification ...
Azadeh Mokari, Oleg Ryabchykov, Thomas Bocklitz   +2 more
wiley   +1 more source

Contactless Cardiac Health Monitoring with Millimeter-Wave Radar Based on PMG-SATNet. [PDF]

Sensors (Basel)
Guo T, Wang J, Yuan N, Lv H, Liang F, Zhang Z, Wang J, Long Y, Xue H.   +8 more
europepmc   +1 more source

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source

Superefficient optical frequency division referenced to μHz Schawlow-Townes-linewidth quantum noise-limited lasers. [PDF]

Sci Adv
Hu J, Xiao Y, Yang H, Xue S, Dong W, Zhai K, Zhu S, Qiu K, Zhang S, Ge J, Zhu NH, Jiang X, Xu J, Wen H, Zhou H.   +14 more
europepmc   +1 more source

Business Process Management Maturity and Digital Transformation: Evidence From a Financial Institution in an Emerging Economy

Knowledge and Process Management, EarlyView.
ABSTRACT This study examines how business process management (BPM) maturity shapes digital transformation in a large financial institution operating in a highly regulated, emerging‐economy context. Drawing on a qualitative single case study, the research applies Rosemann and De Bruin's BPM Maturity Model to analyse how different maturity dimensions ...
Shirley Xavier Segala, Sérgio Nogueira Seabra, André Rehbein Sathler Guimarães   +2 more
wiley   +1 more source

Asynchronous Coupling Between China's Forest Canopy Structure and Belowground Biomass Carbon in the 21st Century

Land Degradation &Development, EarlyView.
ABSTRACT The spatio‐temporal relationship between Forest Canopy Structure (FCS) and Belowground Biomass Carbon (BGBC) is fundamental to determining how optimizing spatial structure can maximize forest carbon‐sink potential in land management. However, the lidar data resolution over the space and time exists limitation, causing the coupling relationship
Chengyin Liu, Hongpeng Liu, Yan Xu, Yiyun Zhang, Chengyuan Wang, Yao Yao, Binyu Wang, Hairui Yu, Yuzhu Zhao, Mingze Li, Xuegang Mao   +10 more
wiley   +1 more source

Standardized radar wind profiler dataset via integrated raw data processing in Korea. [PDF]

Sci Data
Lee K, Kwon BH, Lee J, Yoon S, Kwon S, Jung SH.   +5 more
europepmc   +1 more source

Mapping Soil Salinity Prediction Enhanced by Time‐Series Remote Sensing Features

Land Degradation &Development, EarlyView.
ABSTRACT Gaining timely knowledge of soil salinity's spatiotemporal dynamics is crucial for accurate mapping. Through temporal span comparisons, this study systematically extracts and utilizes time‐series features (TSFs) derived from Sentinel‐2 and Landsat 8 NDVI and SAVI data (2019–2023) to enhance prediction accuracy. Three datasets were constructed:
Wenji Zhu, Binglong Gao, Yongqi Chen, Chao Dong   +3 more
wiley   +1 more source