Advanced application of Raman spectroscopy and surface-enhanced Raman spectroscopy in plant disease diagnostics: a review
S Weng, X Hu, J Wang, L Tang, P Li… - Journal of Agricultural …, 2021 - ACS Publications
Plant diseases result in 20–40% of agricultural loss every year worldwide. Timely detection
of plant diseases can effectively prevent the development and spread of diseases and …
of plant diseases can effectively prevent the development and spread of diseases and …
A performance evaluation of classic convolutional neural networks for 2D and 3D palmprint and palm vein recognition
Palmprint recognition and palm vein recognition are two emerging biometrics technologies.
In the past two decades, many traditional methods have been proposed for palmprint …
In the past two decades, many traditional methods have been proposed for palmprint …
Determination of the interfacial properties of longitudinal continuous slab track via a field test and ANN-based approaches
Due to the common existence of interlayer debonding and separation of longitudinal
continuous slab track (LCST), accurately estimating the interfacial normal cohesive …
continuous slab track (LCST), accurately estimating the interfacial normal cohesive …
Ratio sum versus sum ratio for linear discriminant analysis
Dimension reduction is a critical technology for high-dimensional data processing, where
Linear Discriminant Analysis (LDA) and its variants are effective supervised methods …
Linear Discriminant Analysis (LDA) and its variants are effective supervised methods …
A novel formulation of trace ratio linear discriminant analysis
The linear discriminant analysis (LDA) method needs to be transformed into another form to
acquire an approximate closed-form solution, which could lead to the error between the …
acquire an approximate closed-form solution, which could lead to the error between the …
Medical handwritten prescription recognition and information retrieval using neural network
U Shaw, R Mamgai, I Malhotra - 2021 6th International …, 2021 - ieeexplore.ieee.org
The automatic interpretation of handwritten documents is one of the popular research areas
over the last few decades because of the huge scope of its practical applications such as …
over the last few decades because of the huge scope of its practical applications such as …
Visual evaluation for autonomous driving
Y Hou, C Wang, J Wang, X Xue… - … on Visualization and …, 2021 - ieeexplore.ieee.org
Autonomous driving technologies often use state-of-the-art artificial intelligence algorithms
to understand the relationship between the vehicle and the external environment, to predict …
to understand the relationship between the vehicle and the external environment, to predict …
Kronecker-decomposable robust probabilistic tensor discriminant analysis
As a generative model, probabilistic linear discriminant analysis (PLDA) has achieved good
performance in supervised learning tasks. The model incorporates both within-individual …
performance in supervised learning tasks. The model incorporates both within-individual …
Deep random walk of unitary invariance for large-scale data representation
Data representation aims at learning an efficient low-dimensional representation, which is
always a challenging task in machine learning and computer vision. It can largely improve …
always a challenging task in machine learning and computer vision. It can largely improve …
OPLS-SR: A novel face super-resolution learning method using orthonormalized coherent features
Face super-resolution (FSR) is an effective way to deal with low-resolution (LR) face images,
which can infer the latent high-resolution (HR) face images from the LR inputs. In contrast …
which can infer the latent high-resolution (HR) face images from the LR inputs. In contrast …