Geomatics, Natural Hazards and RiskWrzesniak, A.; Giordan, D. Development of an algorithm for automatic elaboration, representation and dissemination of landslide monitoring data. Geomat. Nat. Hazards Risk 2017, 8, 1898-1913. [CrossRef]
Giordan, DanieleGeomatics Natural Hazards & RiskWrzesniak, A.; Giordan, D. Development of an algorithm for automatic elaboration, representation and dissemination of landslide monitoring data. Geomat. Nat. Hazards Risk 2017, 8, 1898-1913. [CrossRef]...
In the former case, the analog signal is first converted into digital form by using an analog-to-digital converter which performs sampling of the analog signal, quantization of the samples, and encoding the amplitude values using a binary representation. A digital signal processing system may be ...
where \(randN\) is a random value between zero and one. \(\mu_{1}\) is between 0 and 1. We can simplify the equations of \(u1\), \(u2\), and \(u3\) in the following mathematical representation: $$ u_{1} = L_{1} \times 2 \times randN + (1 - L_{1} ) $$ (23)...
Parasites & Vectors (2023) 16:98 https://doi.org/10.1186/s13071-023-05698-0 Parasites & Vectors RESEARCH Open Access Development and validation of a machine learning algorithm prediction for dense granule proteins in Apicomplexa Zhenxiao Lu†, Hang Hu†, Yashan Song, Siyi...
It not only combines appearance representation and spatial information with the Re-ID function but also hierarchically associates existing orbits with different candidates. The appearance representation draws lessons from the DeepSORT algorithm, which uses the depth neural network to train the pedestrian ...
V.G. was responsible for algorithm design, supplementary modeling and writing of the paper. P.N. and B.M.Y. participated in algorithm design. C.A.C. participated in animal training, infrastructure development and data analysis. J.P.C. participated in algorithm design and infrastructure ...
Set up the Quantum Development Kit Ways to run Q# programs Manage Azure Quantum Quantum programming Hybrid quantum computing (QC) Resource Estimation Quantum simulators Quantum providers Key concepts of quantum computing Vectors and matrices The qubit Multiple qubits Dirac notation Pauli measurements Grover...
Sparse representation classification: Sparse representation classification (SRC) aims to find the representation of the testing sample in a linear combination of all training samples (He et al., 2017). The l1-norm is usually introduced to ensure a sparse representation. In identifying procedure, the...
With the development of sensor technology, the types of remote sensing images are increasing rapidly at the same time. There are obvious differences in the spectrum, spatial resolution, imaging methods, etc. of a single sensor, and there are also differences in the ground information obtained. It...