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[PDF] Top 20 Frost prediction with machine learning techniques

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Frost prediction with machine learning techniques

Frost prediction with machine learning techniques

... empirical prediction system for frost protection of fruits and vegetables in the southern part of the Santa Fe province in Argentina, in the region covered by the agrometeorological station located at ... See full document

11

Visualization and machine learning techniques to support web traffic analysis

Visualization and machine learning techniques to support web traffic analysis

... easily with patterns mined us- ing Machine Learning ...on with the website traffic, such as detecting potential customer segments, or to contrast visitors between different countries, among ... See full document

110

Category level visual object recognition using novel machine learning techniques

Category level visual object recognition using novel machine learning techniques

... unsupervised learning frame- work where the goal is to minimize an error function with respect to a given distance metric, for example, intra-cluster ...speed with respect to alternative clustering ... See full document

125

Machine learning and statistical techniques : an application to the prediction of insolvency in Spanish non-life insurance companies

Machine learning and statistical techniques : an application to the prediction of insolvency in Spanish non-life insurance companies

... the techniques, but provides non-interpretable models and, therefore, it doesn’t allow knowing the relative importance of the variables to get a ...better techniques in classifying and, except for year 1, ... See full document

45

Novel applications of Machine Learning to Network Traffic Analysis and Prediction

Novel applications of Machine Learning to Network Traffic Analysis and Prediction

... associated with the communication flow, for example, source and destination ports and bytes transmitted per ...deep learning models that can be used for IoT ...combined with a Convolutional Neural ... See full document

183

TítuloNet net Auto machine learning (AutoML) prediction of complex ecosystems

TítuloNet net Auto machine learning (AutoML) prediction of complex ecosystems

... The LDA model showed significant goodness-of-fit, also illustrated by Accuracy (Ac), Sensitivity (Sn), and Specificity (Sp) classification values, both in training and external validation series (see Table 2). The ... See full document

9

Integrating defeasible argumentation and machine learning techniques . Preliminary report

Integrating defeasible argumentation and machine learning techniques . Preliminary report

... aspects of a generic argument-based framework can be integrated with other ML-based ap- proaches. The paper is structured as follows. First, we briefly introduce the components of most argument-based framework and ... See full document

5

Application of machine learning techniques to optical communication systems and networks

Application of machine learning techniques to optical communication systems and networks

... trained with raw data asynchronously sampled by a coherent receiver in a 16 GBd dual-polarization QPSK, is proposed for OSNR ...configured with at least 5 layers and needs to be trained with 400000 ... See full document

59

Identificación de personas por su forma de andar usando sensores inerciales

Identificación de personas por su forma de andar usando sensores inerciales

... of Machine Learning will be chosen and worked on, as well as experimenting with multiple techniques already used in other use cases or in the same ...model with the highest percentage ... See full document

89

Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs

Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs

... metaheuristics with machine learning techniques is an emerging research field in the OR ...metaheuristics with machine learning techniques, as well as a ... See full document

20

An empirical study of machine learning techniques applied to image watermarking

An empirical study of machine learning techniques applied to image watermarking

... With the current increase of audiovisual media fraud, watermarking is becoming a relevant technique for protecting exploit and author rights. A watermark is a form, image or text that is impressed onto paper, ... See full document

20

TítuloImprovement of epitope prediction using peptide sequence descriptors and machine learning

TítuloImprovement of epitope prediction using peptide sequence descriptors and machine learning

... the prediction of MHC binding needed for the T-cell recognition ...experimental techniques using an extensive set of ...developing prediction methods of ...the prediction of T-cell epitopes. ... See full document

10

Risk Adjustment Revisited using Machine Learning Techniques

Risk Adjustment Revisited using Machine Learning Techniques

... model with indicators of long-term diseases, hospi- talization, consult with specialist, and admission to the intensive care unit, generates 172,051 million pesos of profit by enrolling individuals for ... See full document

23

TítuloClassification of mild cognitive impairment and Alzheimer’s Disease with machine learning techniques using 1H Magnetic Resonance Spectroscopy data

TítuloClassification of mild cognitive impairment and Alzheimer’s Disease with machine learning techniques using 1H Magnetic Resonance Spectroscopy data

... Note that not only metabolite concentrations had significant results. Ratios with Creatine, mI/Cr, NAA/Cr and Cho/Cr, are shown as selected features in several classifications (see Table 2, Table 3 and Table 4). ... See full document

17

Predicting underground tunnel hazards using machine learning techniques

Predicting underground tunnel hazards using machine learning techniques

... Similarly, many of the methods discussed above (and, in particular, the empirical methods listed in Tables 1.1 and 1.2) have the limitation that they are deterministic, hence providing little information about the ... See full document

184

Machine Learning Techniques for Undertaking Roundabouts in Autonomous Driving

Machine Learning Techniques for Undertaking Roundabouts in Autonomous Driving

... An ideal autonomous vehicle is one driven by a system behaving like a human driver would [4], where the driving model transforms information perceived from different driving situations into actions on the vehicle’s ... See full document

17

App reviews analysis with machine learning

App reviews analysis with machine learning

... • Preprocessing: The preprocessing of text is an important step before the classifi- cation and can significantly variate the performance of the algorithms. There are various different preprocessing techniques ... See full document

20

Automatic prediction of facial trait judgments: Appearance vs  structural models

Automatic prediction of facial trait judgments: Appearance vs structural models

... The results presented in this section were computed as follows. First, we obtained a descriptor for each facial image, using the proposed feature extraction techniques (see Materials and Methods - ... See full document

12

Prediction of frost location using machine learning and wireless sensor networks

Prediction of frost location using machine learning and wireless sensor networks

... 5. P Sallis, M Jarur, M Trujillo, and A Ghobakhlou. Frost prediction using a combina- tional model of supervised and unsupervised neural networks for crop management in vineyards. In 18th IMACS World ... See full document

2

Prediction of AR marker's position: A case of study using regression analysis with Machine Learning method

Prediction of AR marker's position: A case of study using regression analysis with Machine Learning method

... 7) with the luxmeter tool, the camera (Logitech C920), the marker (fiducial), the computer ...taken with a luxmeter ...the machine learning application written in c++, which made the ... See full document

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