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Estimation of Leaf Nitrogen Content in Wheat Based on Fusion of Spectral Features and Deep Features from Near Infrared Hyperspectral Imagery [PDF]
Sensors, 2021 Nitrogen is an important indicator for monitoring wheat growth. The rapid development and wide application of non-destructive detection provide many approaches for estimating leaf nitrogen content (LNC) in wheat.
Baohua Yang +4 more
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Class-level spectral features for emotion recognition
Speech Communication, 2010 The most common approaches to automatic emotion recognition rely on utterance level prosodic features. Recent studies have shown that utterance level statistics of segmental spectral features also contain rich information about expressivity and emotion.
Ragini Verma, Ani Nenkova
exaly +6 more sources
Vibroarthrographic Signal Spectral Features in 5-Class Knee Joint Classification [PDF]
Sensors, 2020 Vibroarthrography (VAG) is a non-invasive and potentially widely available method supporting the joint diagnosis process. This research was conducted using VAG signals classified to five different condition classes: three stages of chondromalacia ...
Adam Łysiak +3 more
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Classification of Diabetic Retinopathy Disease Levels by Extracting Spectral Features Using Wavelet CNN [PDF]
DiagnosticsDiabetic retinopathy (DR) arises from blood vessel damage and is a leading cause of blindness on a global scale. Clinical professionals rely on examining fundus images to diagnose the disease, but this process is frequently prone to errors and is tedious.
Sumod Sundar +2 more
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Frontiers in Plant Science, 2023 Spider mite infestations are a serious hazard for jujube trees in China. The use of remote sensing technology to evaluate the health of jujube trees in large-scale intensive agricultural production is an effective means of agricultural control ...
Yue Wu +6 more
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Microwave Emissivity of Typical Vegetated Land Types Based on AMSR2
Remote Sensing, 2022 To investigate the microwave radiation characteristics of different vegetation types, the “pure pixels” of 12 typical vegetated land types were selected and corresponding emissivity was retrieved under clear sky based on L1C AMSR2 observed brightness ...
Xueying Wang, Zhenzhan Wang
doaj +1 more source
IEEE Access, 2021 In this research, four unique nonlinear speech features are extracted and analyzed to study the dissimilarity pattern between when the speaker is being deceitful and truthful based on how human speech is perceived.
Sinead V. Fernandes, Muhammad S. Ullah
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Remote Sensing, 2021 Vegetation heat-stress assessment in the reclamation areas of coal gangue dumps is of great significance in controlling spontaneous combustion; through a temperature gradient experiment, we collected leaf spectra and water content data on alfalfa.
Qiyuan Wang +5 more
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A Spectral Condition for Feature Learning
CoRR, 2023 The push to train ever larger neural networks has motivated the study of initialization and training at large network width. A key challenge is to scale training so that a network's internal representations evolve nontrivially at all widths, a process known as feature learning.
Greg Yang +2 more
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IEEE Access, 2023 A thorough analysis and comprehension of the entire cue set in visual data are indispensable for an ideal video description model. As outlined in recent algorithm proposals, video descriptions have primarily been generated by learning RGB and optical ...
Ghazala Rafiq +2 more
doaj +1 more source