the absorption data. Y.H. and A.-T.N. checked the buffer compatibility for DNase I digestion and in vitro CRISPR–Cas reaction. M.L.G. and M.J.K. optimized the AgNC synthesis. S.H. and H.-C.Y. wrote the article with input from all authors. H.-C.Y. supervised the project. ...
Saliency detection mimics the natural visual attention mechanism that identifies an imagery region to be salient when it attracts visual attention more than the background. This image analysis task covers many important applications in several fields such as military science, ocean research, resources ex...
In Fig. 3A (H1, S1, V1) each blob is represented with a uniform colour component determined by the slope detection algorithm. Figure 3A (H2, S2, V2) shows the same colour blobs in a slightly different way: only the central point of each blob is represented (using the same colour ...
The software used to calibrate the cameras and track the thrips was written in Python with OpenCV for fast image analysis. Detection procedures were specially optimized for thrips, including dynamic background subtraction, median filtering and a difference-of-gaussians filter optimized for the size of...
An annotator then assessed whether a detection fulfilled the previously mentioned criteria. In this way, the false-positive, false-negative and true-positive detections were determined and more appropriate metrics of precision, recall and f1 were calculated and are reported in section 3.1. 2.2. ...
Solving a Constrained Project Scheduling Problem with Quantum Annealing Solving the resource constrained project scheduling problem (RCPSP) with D-Wave’s hybrid constrained quadratic model (CQM) Luis Fernando PÉREZ ARMAS, Ph.D. August 20, 2024 ...
This choice was made to get eventually an estimation of what orders of magnitude, in terms of concentration, would be feasible for detection in remote sensing applications and for each sample under consideration. Reflectances of dry ocean-harvested samples were only measured at nadir, all other ...
To evaluate the optimal number of clusters that can best describe both the empirical weight distributions as well as the simulated neuronal responses, Dirichlet process with Gaussian mixture modelling58and time-series K-Means analysis81were performed using the scikit-learn82and tslearn59Python machine ...
the output layer was a fully connected layer of a single neuron. Although the output layer used the linear activation function, the other layers adopt rectified linear unit as their activation function. We implemented this ResNet-based network by Keras51in Python. The complete model architecture ...
The Python script was a single file with a main function that spawned 16 processes using Python's multiprocessing package. Each process ran a top-level function with a reference to a single image file that called all necessary functions to load and preprocess the sup- plied image and save ...