[PDF] Top 20 La utilización del diseño de experimentos como instrumento para el estudio del turista
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A CNN Classification Model For Diagnosis Covid19
... (Fei Shan) developed DL-based segmentation that uses the "VB-Net" neural network to segment CT scans of COVID-19 infection regions. The device is equipped using 249 patients with COVID19 and tested using ... See full document
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Convolutional neural networks for leaf image-based plant disease classification
... (CNN) model used for the classification of these three common ...and diagnosis of soybean diseases are vital for high crop ...accurate diagnosis results, several researchers have ... See full document
22
Disease Detection in the Leaves of Multiple Plants
... and classification of different types of diseases effected to the plant ...The CNN network is trained with 5 varieties of diseases effected to different plant ...proposed CNN model acquires a ... See full document
77
Investigating the Relationship between Literary Genres and Emotional Plot Development
... for classification in a random forest, multi-layer perceptron, and a convolutional neural network ...two classification methods, we flatten the emotion-segment matrix into an input ... See full document
149
Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity loss
... novel CNN architec- ture adapted to the specialty of refrigerator ...the classification of a refrigerator given a new input ...proposed CNN architecture takes triple images as input, from which a ... See full document
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An Optimized Deep Learning Model For Flower Classification Using NAS-FPN And Faster R-CNN
... applied CNN classifier to distinguish the different flower types and also evaluated their method on three frequently used flower ...Their classification results were 81%, ...and CNN with an ... See full document
7
Rationale Augmented Convolutional Neural Networks for Text Classification
... (CNN) model for text classification that jointly exploits labels on documents and their constituent ...Our model ex- ploits such supervision via a hierarchical ap- proach in which each ... See full document
130
Crop and weed discrimination using Laws’ texture masks
... calculate features and an artificial neural network was used for classification of crop and weed. In the initial stage, the accuracy was around 72% but after improvement by ignoring the incomplete morphological ... See full document
204
Air Quality Monitoring using CNN Classification
... network model[2], a reduction in the number of weights, makes the CNN be applied in various fields of pattern recognition, and achieved very good ...results. CNN by combining local perception area, ... See full document
8
Care homes are designed as institutions to care for people needing additional help and increased social interaction. They are not designed for isolation and social distancing. Many homes do not have en-suite bathrooms for every room. Even where homes are divided into multiple units; laundry, kitchens, maintenance and management will be shared across the home. Moving residents into cohorts within the same building has not contained infection, and has worsened it in some cases. Bigger homes have more staff and movement between units and these are the homes that have had outbreaks. Homes with large outbreaks have had up to 65% of residents infected, despite following guidelines and using PPE. Clinical staff may also work across units and in several homes. Patients with dementia who remain mobile wander the units freely, interacting with staff and other residents. It is not possible to isolate these patients without considerable distress. These are patients who struggle to understand or remember information about social distancing. Pattern of cases To date we have 321 patients with confirmed or suspected COVID19, out of 825 patients registered at 1 st March, involving 28 units across 13 homes. Our first clinically suspected cases (cough and fever) were seen on 4 th and 5 th March 2020 in Homes A and B. Despite our concerns, guidance was that they did not fit the travel criteria case definition at that time and they were unlikely to be infected. One of these was subsequently confirmed as COVID-19 infection on 11 th March 2020 after re-admission to hospital two days earlier with ongoing marked respiratory symptoms. Multiple suspected cases were then observed from 16 th March onwards, in concentrated outbreaks on specific units within a few homes, including Home B. Deaths on these units commenced from 20 th March. We can clearly see across the whole cohort that there are defined peaks in infection occurring 6-10 days after the index case(s) (Figure 1). For those diagnosed at each of the peaks, patients were significantly more unwell at presentation than earlier cases on the same unit. Once an outbreak (defined as 2 or more cases on the same unit within 14 days) was established, changes to infection control and management did not seem to alter the numbers of following cases. Across different homes, R0 appears to be between 4 and 5 in subsequent waves.
... We believe it is possible to alter the course of outbreaks and reduce impact if multi- agency working is implemented and clear pathways exist. A whole system approach including health and social care, homes and ... See full document
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Plant disease identification using explainable 3D deep learning on hyperspectral images
... in classification of hyperspectral images for some interesting engineering applications ...based classification of plant ...the model makes a specific ...learnt model to identify meaningful ... See full document
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Comparison of Image Classification Techniques: Binary and Multiclass using Convolutional Neural Network and Support Vector Machines
... A Support Vector Machine (SVM) is a discriminative classifier formally defined by a separating hyperplane. For the SVM classifier, if a labeled training data is given (supervised learning), the algorithm outputs an ... See full document
69
CNN Classification Approach For Analysis And Recognition Of Marathi Manuscript
... Classification is used for identification of Text letters, numerals and other symbols if any. In this phase, the different parameter also gets checked like PSNR, false rate, precision. To provide the data to the ... See full document
6
Sentence Based Discourse Classification for Hindi Story Text to Speech (TTS) System
... proposed model is devel- oped using story ...this model en- tails two phases: feature extraction and classification of the ...‘Word2Vec’ model. The classification of discourse at ... See full document
174
Automatic Plastic Waste Segregation And Sorting Using Deep Learning Model
... CRF model, an improved Conditional Boltzmann Machine (CBM), which has a multi-channel visible layer, is proposed to model the relationship between predicted labels, local and global contexts of objects with ... See full document
6
Reasoning with Sarcasm by Reading In Between
... GloVe model trained on 2B Tweets for the Tweets and Reddit ...Glove model trained on Common Crawl is used for the Debates ...Each model is trained for a total of 30 epochs and the model is ... See full document
84
Diabetic Retinopathy Stage Classification using CNN
... CNN workes in dataset of fundus images and the images came in varying sizes and aspect ratios. One primary step involved in preprocessing is resizing the images and downsizing all images to 256 x 256 images. ... See full document
17
A Stochastic Model Depending on the Infection Rate :COVID19 Case in Djibouti
... important model parameters using the Djibouti infection cases from 20th Mai to 23th June, ...important model parameters we using the properties of Ito and Brownian motion from the real data ... See full document
13
Brain MR Image Classification Based on Deep Features by Using Extreme Learning Machines
... Kadam et al. [12], have proposed a method in which the features were extracted by Gray Level Co-occurrence Matrix (GLCM). Kernel Support Vector Machines (KSVM) classifier was used for classifying MR images as tumor or ... See full document
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A CNN Based Approach for Garments Texture Design Classification
... Proposed model is then applied alongside with two well-known deep Convolutional Neural Network (CNN) models AlexNet and VGG_S in two different garment datasets for the purpose of training and ...proposed ... See full document
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