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24 results for “Temporal Difference”

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Research ArticleOpen accessPhrase in the titleINCORPORATING PRIOR KNOWLEDGE INTO TEMPORAL DIFFERENCE NETWORKSBritton Wolfe, James HarpeDeveloping general purpose algorithms for learning an accurate model of dynamical systems from example traces of the system is still a challenging research problem. Predictive State Representation (PSR) models represent the state of a dynamical system as a set of predictions about future events. Our work focuses on improving Temporal Difference Networks (TD Nets), a general class of predictive state … …Journal of Computer Science, Vol. 10, Issue 11 · 18 Dec 2014 · 7,837 accessesView PDFCite
Review ArticleOpen accessIn the abstractAssessment of Dust Event By RS, GIS, MODIS and Statistical Methods Among Satellite ImagesKaveh Ostad-Ali-Askari, Naimeh Rahimi, Parisa Ashrafi et al.Dust is an event that occurs in most sections of the world that leads to financial loss and harmful environmental impacts. Several factors are included in dust event incidence, some of them are natural and others are due to human processes and their impact on the environment. Thus, very critical situations are coming and it is expected that the majority … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 25 Jun 2021 · 6,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractGait Analysis Combining Sports Biomechanics and ImagingChao ZhuAiming at the problems of marker positioning error, soft tissue interference, and insufficient personalized modeling ability in traditional gait analysis, this study proposes a gait assessment method that integrates sports biomechanics and multimodal imaging analysis. Firstly, based on the public OU-ISIR gait database, a Convolutional Neural Network (CNN) is used to extract the key gait features in the human silhouette … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 20 Jul 2026 · 850 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpidemiological Characteristic of Animal Bite and Direct Economic Burden of Rabies Vaccination in the Southern of IranVahid Rahmanian, Heshmatollah Shakeri, Abdolreza Sotoodeh Jahromi et al.The ever-increasing cases of animal bites caused by rabies, livestock losses, as well as economic damages are of utmost importance in developing countries. This study was conducted to determine the epidemiology and the direct economic burden of rabies vaccination in southern Iran in 2018. In this study, 375 cases of animal bites which were recorded in Rabies Treatment Centers of … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 4 · 6 Oct 2020 · 7,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Evaluation of Image-Based NPR Applied to VideoAlberto F.F. de Barros, Jose E.R. de Queiroz, Herman M. GomesIn this article, it was studied the effect of state-of-the-art approaches for Non-Photorealistic Rendering (NPR), originally developed for static images, when applied to videos. Six criteria were objectively evaluated (using a 5-point Likert scales): Simplicity, content preservation, resemblance to the original content, sharpness, temporal coherence and subjective satisfaction. Sixty participants and a dataset of 30 videos of different genres were … …Journal of Computer Science, Vol. 16, Issue 4 · 29 Apr 2020 · 7,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review of the Recent Advances Made in the Black-Scholes Models and Respective Solutions MethodsYasir Hamad Al Saedi, Gurudeo Anand TularamThe Black-Scholes model has been a major advance in finance over a period of time; this paper examines this model in some detail, in terms of the latest developments in both analytical and numerical solutions. The paper initially briefly examines historical aspects but quickly moves to a critical analysis of the works in the applications, solutions and implications for the … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 8 Jan 2018 · 8,621 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Temperature and Precipitation on Global Mangrove Rhizophora Species DistributionAroloye O. Numbere, Gerardo R. CamiloClimate change influences the distribution of mangroves towards tropical or temperate regions of the world. We hypothesized that Rhizophora species organized along complex spatial and temporal temperature and precipitation gradient. To determine the affinity of different mangroves with climatic parameters, the response of eight Rhizophora species to seven climatic parameters (i.e., annual mean temperature, annual precipitation, maximum temperature of warmest … …American Journal of Environmental Sciences, Vol. 13, Issue 5 · 5 Oct 2017 · 8,259 accessesView PDFCite
Review ArticleOpen accessIn the abstractVery High Resolution Optical Satellites: An Overview of the Most Commonly usedPasquale MaglioneVery High Resolution (VHR) satellite systems are platforms whose sensors acquire high geometric resolution images. Since 1972, when the first satellite was launched (Land sat ERTS), the spatial resolution of the satellite image has increased, making Ground Sample Distance (GSD) reaching 0.30 m at Nadir in panchromatic images. In this paper, after a brief introduction, concepts relative to orbits, types … …American Journal of Applied Sciences, Vol. 13, Issue 1 · 25 Jan 2016 · 9,059 accessesView PDFCite
Research ArticleOpen accessIn the abstractIN-SEASON ASSESSMENT OF WHEAT CROP HEALTH USING VEGETATION INDICES BASED ON GROUND MEASURED HYPER SPECTRAL DATAKhalid Ali Al-Gaadi, Virupakshagouda Patil, ElKamil Tola et al.An experiment on a 50 ha center pivot field was conducted to determine the Vegetation Indices (VI’s) that were helpful in assessing the in-season performance of wheat crop treated with graded levels of irrigation water and fertilizers. The irrigation levels were at 100, 90, 80 and 70% evapotranspiration (ETc); however, the fertilizer levels of N: P: K kg-1ha included 300:150:200 … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 2 · 7 Jan 2014 · 7,518 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeural Network Change Detection Model for Satellite Images Using Textural and Spectral CharacteristicsA. K. Helmy, Gh. S. El-TaweelProblem statement: Change detection is the process of identifying difference of the state of an object or phenomena by observing it at different time. Essentially, it involves the ability to quantify temporal effects using multi-temporal data sets. Information about change is necessary for evaluating land cover and the management of natural resources. Approach: A neural network model based on both … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 4 Nov 2010 · 8,156 accessesView PDFCite