Results 31 to 40 of about 319,748 (260)

Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging

Remote Sensing, 2020
The defective beans of coffee are categorized into black beans, fermented beans, moldy beans, insect damaged beans, parchment beans, and broken beans, and insect damaged beans are the most frequently seen type.
Shih-Yu Chen, Chuan-Yu Chang, Cheng-Syue Ou, Chou-Tien Lien   +3 more
doaj   +1 more source

A multi-band high selectivity frequency selective surface for ka-band applications

2017 10th Global Symposium on Millimeter-Waves, 2017
This paper proposes a new method to implement Frequency Selective Surfaces (FSSs) with sharp band edge transitions suitable for millimetres wave applications. A bandpass FSS can be realized by combining two bandstop FSS structures on the same plane.
Hussein, Muaad, Huang, Yi, Al-Juboori, Bahaa, Zhou, Jiafeng   +3 more
openaire   +1 more source

A Split-and-Merge Approach for Hyperspectral Band Selection [PDF]

IEEE Geoscience and Remote Sensing Letters, 2017
The problem of band selection (BS) is of great importance to handle the curse of dimensionality for hyperspectral image (HSI) applications (e.g., classification). This letter proposes an unsupervised BS approach based on a split-and-merge concept. This new approach provides relevant spectral sub-bands by splitting the adjacent bands without violating ...
Shaheera Rashwan, Nicolas Dobigeon
openaire   +4 more sources

Distributed Resource Allocation for D2D-Assisted Small Cell Networks With Heterogeneous Spectrum

IEEE Access, 2019
Device-to-device (D2D) communication with increased spectral efficiency and reduced communication delay has undoubtedly become a general trend in future wireless networks.
Yuanfei Liu, Ying Wang, Ruijin Sun, Zhongyu Miao   +3 more
doaj   +1 more source

Automating band selection for hyperspectral indices: bridging AVIRIS-NG and Sentinel-2 satellite data for earth science applications

Frontiers in Earth Science
Hyperspectral data from the Airborne Visible and Infra-Red Imaging Spectrometer – Next-Generation (AVIRIS-NG) offers transformative potential for Earth science research, enabling detailed analysis of land surface processes, resource monitoring, and ...
Veerendra Satya Sylesh Peddinti, Venkata Ravibabu Mandla, Shashi Mesapam, Suresh Kancharla   +3 more
doaj   +1 more source

Optimal Band Analysis of a Space-Based Multispectral Sensor for Urban Air Pollutant Detection

Atmosphere, 2019
Air pollution continues to attract more and more public attention. Space-based infrared sensors provide a measure to monitor air quality in large areas.
Xiaoyu He, Xiaojian Xu, Zheng Zheng
doaj   +1 more source

Bone and Soft Tissue Neoplasms in Infants Versus Older Children: A Report From the Cancer in Young People in Canada Program

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Infant bone and soft tissue neoplasms present distinct clinical challenges and lack large‐scale data to inform treatment decisions. This study aims to characterize bone and soft tissue neoplasms in infants in Canada and to compare their outcomes with those of older pediatric patients.
Samuel Sassine, Hallie Coltin, Maria Kondyli, Monia Marzouki, Nicolas Prud'homme, Nida Usmani, Rebecca J. Deyell, Lesleigh Abbott, Tony H. Truong, Sapna Oberoi, Ketan Kulkarni, Josée Brossard, Lynette Bowes, Paul Gibson, Sarah McKillop, Roona Sinha, Lillian Sung, Catherine Vezina, Laura Wheaton, Alexandra P. Zorzi, Marie‐Claude Pelland‐Marcotte, Thai Hoa Tran   +21 more
wiley   +1 more source

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida, Gisela Cristiane Miyamoto, Daniel da Costa Torres, Ian Setubal Reis Chaves, Jonas do Carmo Paschoalin, Braúlio Lima Nascimento, Luciana Dias Chiavegato   +6 more
wiley   +1 more source

Detection of significant wavelengths for identifying and classifying Fusarium oxysporum during the incubation period and water stress in Solanum lycopersicum plants using reflectance spectroscopy

Journal of Plant Protection Research, 2019
Spectroscopy has become one of the most used non-invasive methods to detect plant diseases before symptoms are visible. In this study it was possible to characterize the spectral variation in leaves of Solanum lycopersicum L.
Juan Carlos Marín Ortiz, Lilliana María Hoyos Carvajal, Veronica Botero Fernandez   +2 more
doaj   +1 more source

A Pseudo-Label Guided Artificial Bee Colony Algorithm for Hyperspectral Band Selection

Remote Sensing, 2020
Hyperspectral remote sensing images have characteristics such as high dimensionality and high redundancy. This paper proposes a pseudo-label guided artificial bee colony band selection algorithm with hypergraph clustering (HC-ABC) to remove redundant and
Chunlin He, Yong Zhang, Dunwei Gong
doaj   +1 more source