Forecasting and Prediction Tools
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Recent papers in Forecasting and Prediction Tools
This is the RAW DATA for a neural network price prediction system to be utilized for the prediction of stock prices on US markets. To date the performances are doing well. I have experiemented with multiple architectures and now am... more
There has been a growing interest in applying neural networks and technical analysis indicators for predicting future stock behavior. However, previous studies have not practically evaluated the predictive power of technical indicators by... more
Background/objectives: When performing activity associated with walking, the amount of walking a person does often will depend on their plans. This study was designed to evaluate the relationship between motor planning and ambulatory... more
This paper will review the current state of both biological and non-biological nanotechnology and will predict the near future of this technology using physical and economic forecasting methods. Nanotechnology is defined as the precise... more
This paper explores the range of likely and potential progress on poverty eradication in fragile states to 2030. Using the International Futures model and recently released 2011 International Comparison Program data, this paper calculates... more
INTRODUCTION This paper is an exploration of the science of prediction. It examines what we are good and bad at predicting and why; what influences our ability to make reliable predictions and what the differences arise in the data when... more
In 2013, I proposed using drones to extinguish future forest fires. Admittedly, both the idea and the technology were crude, and proposing an idea like this is not the same as implementing a solution. During the first few minutes, between... more
Danske virksomheder står i disse år overfor at tilpasse sig til den fjerde industrielle revolution, som bygger på den teknologiske udvikling og ikke mindst digitalisering (Erhvervs & Vækstministeriet, 2016). Kollektiv intelligens er i høj... more
This article uses methods for predicting plant performance indicators in Kazakhstan. In the work, using deep learning, visualization of predicted indicators (indicators and others), statistics from predicted values and identified changes,... more
The forecasting of electricity consumption and demand plays a pivotal role in electric power systems planning. This paper proposes the combination of forecasts from two approaches with the aim of improving the forecasting accuracy, in... more
Mercu Buana University Campus D is part of Mercu Buana University which began the operational in 2013. Since 2013 until 2017, Mercu Buana University Campus D still got less than a target about getting the new student.This can be due to... more
Bottled Drinking Water (AMDK) is processed water, without other food ingredients and food additives, packaged, and safe to drink. AMDK itself which is widely known in the community is national product AMDK. However, local products have... more
This paper presents the study of Support Vector Regression (SVR) to forecast the future streamflow discharge using past streamflow and rainfall data, which is closely related to regularization network and Gaussian processes. A Gaussian... more
In the last few years, the reduction of energy consumption and pollution became mandatory. It became also a common goal of many countries. Only in Europe, the building sector is responsible for the total 40% of energy consumption and 36%... more
This study examines and analyses the use of a new recurrent neural network model: Jordan Pi-Sigma Network (JPSN) as a forecasting tool. JPSN's ability to predict future trends of temperature was tested and compared to that of... more
The user has requested enhancement of the downloaded file. All in-text references underlined in blue are added to the original document and are linked to publications on ResearchGate, letting you access and read them immediately. This... more
Errors in estimating and forecasting often result from the failure to collect and consider enough relevant information. We examine whether attributes associated with persistence in information acquisition can predict performance in an... more
This paper present an application of Artificial Neural Networks (ANNs) in the renewable energy domain and, more particularly, to predict solar energy. We look at the Multi-Layer Perceptron (MLP) network which has been the most used of... more
Study 1: 630 spree-shooters [1936-2021] (1,650 deaths; 3,123 injuries; 194 suicides [31%]), 623 controls logistic regression differences (F= 260.44, df=10/1242, R=.82, R2 =.68, p<.01): (1) homicidal ideation; (2) planning-preparation; (3)... more
In wastewater industry, real-time sensing of surface temperature variations on concrete sewer pipes is paramount in assessing the rate of microbial-induced corrosion. However, the sensing systems are prone to failures due to the... more
Following a definition of the basic terms employed, the author examines the interrelationships between planning, policy-making and forecasting. The main trends in futures research are described, and some forecasting methods and... more
A practical analysis to forecast an optimal fuel consumption of vessel in relation with main engine maintenance and repair for current container vessel in operation.
This study presents an objective verification of different icing algorithms for two periods from 5 December 2012 to 17 April 2013 and from 9 October to 11 December 2013. The predicted icing potential and severity are evaluated against... more
Errors in estimating and forecasting often result from the failure to collect and consider enough relevant information. We examine whether attributes associated with persistence in information acquisition can predict performance in an... more
Because the input for Futures Studies is to a very high degree formulated as written words and texts, methods which automate the processing of texts can substantially help Futures Studies. At Shaping Tomorrow, we have developed a software... more
In the world, energy demand continues to grow incessantly. At the same time, there is a growing need to reduce CO 2 emissions, greenhouse effects and pollution in our cities. A viable solution consists in producing energy by exploiting... more
In this paper, we present a Cluster-Based Approach (CBA) that utilizes the support vector machine (SVM) and an artificial neural network (ANN) to estimate and predict the daily horizontal global solar radiation. In the proposed... more
As demand for computer software continually increases, software scope and complexity become higher than ever. The software industry is in real need of accurate estimates of the project under development. Software development effort... more
Tool design is a specialized area of manufacturing engineering comprising the analysis, planning, design, construction, and application of tools, methods, and procedures necessary to increase manufacturing productivity. To carry out... more
Smart Agriculture is a development that emphasizes the use of information technology in the farming. Most of the population in India depending on agriculture. This situation is one of the reason, that hindering the development of country.... more
The use of algorithmic prediction in insurance is regarded as the beginning of a new era, because it promises to personalise insurance policies and premiums on the basis of individual behaviour and level of risk. The core idea is that the... more
The remarkable increase in per capita power consumption worldwide has drawn attention towards the required growth in renewable energy sector in order to bridge the gap between overall demand and supply. Solar power has been the fastest... more
THE ARTICLE DESCRIBES PROSPECTS FOR THE RUSSIAN-CHINESE RELATIONS IN THE CONTEXT OF THE FOREIGN POLICY OBJECTIVES SET BY THE 18TH CONGRESS OF THE CPC AND BY THE FOREIGN POLICY CONCEPT OF THE RUSSIAN FEDERATION, AS WELL AS IN LIGHT OF THE... more
Logistic regression analysis of factors contributing to bank deposit subscription and direct marketing success. View project at:... more
"Below are percentage ups and downs of the BTC(Bitcoin)/USD currency pair during times when the Sun and Mercury are in the same sign and also during times when the Sun and Mercury are in different signs. These statistics go back to 2012.... more
This article examines five common misunderstandings about case-study research: (a) theoretical knowledge is more valuable than practical knowledge; (b) one cannot generalize from a single case, therefore, the single-case study cannot... more
AUTOSAR XML (.arxml) is a format introduced by the Automotive Open System Architecture consortium to contain the data used in and required by Electric Control Units which is based on Automotive Open System Architecture. Electric Control... more