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AI Sport Forecast Software

Kiyomi Cerezo Takahash
2008 International Journal of Interactive Multimedia and Artificial Intelligence  
To do this an analysis of the influential factors, algorithms and technology implemented, will be carried out.  ...  This article aims to explain the development of an application whose function is to predict the results of different sporting encounters.  ...  Takahashi AI Sport Forecast Software reasoning.  ... 
doaj:06a616e0a9b34fe4b3d68b9fea74b414 fatcat:xycid2lsvzfrrhop5k2qshkloy

Forecasting software visualizations: An explorative study

Stavros Asimakopoulos, Robert Fildes, Alan Dix
2009 unpublished
A qualitative explorative evaluation considered the effects of six visualization interfaces of sales forecasting systems on 60 university students.  ...  The study builds on earlier research from the domain of business forecasting in supply chain industries.  ...  Kostas Nikolopoulos for engineering and implementing the experimental forecasting software used in our study.  ... 
doi:10.14236/ewic/hci2009.32 fatcat:dgsewf4bjfdpxdfbdnxb6pa24y

Delphi Method Supported by Forecasting Software

Marcin Lawnik, Arkadiusz Banasik
2020 Information  
Experts in the forecasting process often have access to time series forecasting software but do not necessarily use it.  ...  Therefore, it seems advisable to add to the aggregate the value obtained using forecasting software. The advantage of this approach is in saving the time and costs of obtaining a forecast.  ...  to study [4] , and other general schemes on the subject [36] .  ... 
doi:10.3390/info11020065 fatcat:jzsk2bvnijfxhlfrxzhbvmjo5q

Evaluation of Software Degradation and Forecasting Future Development Needs in Software Evolution

Sayyed Garba Maisikeli
2016 International Journal of Software Engineering & Applications  
This article is an extended version of a previously published conference paper.  ...  The novel idea is that, historical evolution data is used to project, predict and forecast resource requirements for future developments.  ...  METHODOLOGY In addition to exploring and investigating the effect of change and its impact on the amount of disorder introduced as a software system evolves from one version to another, this study added  ... 
doi:10.5121/ijsea.2016.7604 fatcat:mmmkmzs5yrfejldzu2u245afja

Stata10 (Time Series and Forecasting)

Robert Alan Yaffee
2007 Journal of Statistical Software  
There are circumstances where the data generating process under study is not equally spaced in time.  ...  Most time series analysts visually examine their data before they proceed with analysis.  ... 
doi:10.18637/jss.v023.s01 fatcat:hflsqxlcffcrpl2rf2yy2jumwm

Technology Forecasting: A Case Study of Software Technology Product Families

Amol C. Adamuthe, Abhaysinh V. Surve, Gopakumaran T. Thampi
2016 International Journal of Information Engineering and Electronic Business  
This paper focuses on forecasting growth pattern of selected software technology product families using market share as indicator.  ...  In actual market shares in year 2013 and forecasted market shares upto year 2025 indicates that programming language market follows pure competition.  ...  According to the study, it is possible to predict if an operating system will succeed or fail.  ... 
doi:10.5815/ijieeb.2016.01.02 fatcat:ijozr7u5nbf7roqkqkdqnj36d4

Development of a Data Mining Driven Forecasting Software Tool for Quality Function Deployment

Shivani K Purohit
2018 Helix  
This paper offers an innovative software tool that precisely forecasts future values in QFD.  ...  Lastly, an example is shown to exhibit the workability of proposed forecasting tool.  ...  The study exploits data mining in QFD with purpose of recognizing future CRs and DRs for ERP software.  ... 
doi:10.29042/2018-3993-3997 fatcat:hgob7ogtsbaznk3vlcenj4vm2q

HEDP: A Method for Early Forecasting Software Defects based on Human Error Mechanisms [article]

Fuqun Huang, Lorenzo Strigini
2021 arXiv   pre-print
This paper proposes an approach to predicting software defects through knowledge about the cognitive mechanisms of human errors.  ...  This excellent capability of forecasting the exact locations and forms of possible defects at the early phases of software development recommends the approach for substantial benefits to defect prevention  ...  You Song for giving us access to the programming contest for the case study.  ... 
arXiv:2110.06758v1 fatcat:r3qje3ficfaxrk6xk6h746uofm

An Approach for Forecast Prediction in Data Analytics Field by Tableau Software

Bibhudutta Jena
2019 International Journal of Information Engineering and Electronic Business  
It also describes why tableau is widely used for data visualization purpose in different organization day by day.  ...  Various business related tools are used to analyze & visualize different types of data which are generated frequently.  ...  adds a spectrum of tools to easily analyze, visualize, explore, report and predict [9] .  ... 
doi:10.5815/ijieeb.2019.01.03 fatcat:mnrt62qenrcjdhfs5572kmayfa

Seasonal hydrological and nutrient loading forecasts for watersheds over the Southeastern United States

Satish Bastola, Vasubandhu Misra
2015 Environmental Modelling & Software  
The study accounts for forecast 22 uncertainties stemming from the meteorological forcing and hydrological model 23 uncertainty.  ...  Multi-model estimation from three hydrological models, each forced 24 with an ensemble of forcing derived by matching observed analogues of forecasted 25 quartile rainfall anomalies from a seasonal climate  ...  The retrospective seasonal forecast of total nitrogen and phosphorous is 316 computed from (1 & 2) . We explored numerous model structure (model option) available 317 in LOADEST.  ... 
doi:10.1016/j.envsoft.2015.08.005 fatcat:4ybsird2hveudiwc2bpzhgpumy


Helvio Jeronimo Junior
2020 Figshare  
Regarding the costs to manage TD, when exploring the costs of an approach to managing it, Guo et al.  ...  S48 An approach to control and repay build debt. S49 Visualization approach called code Christmas tree.  ...  and the software artifacts.  ... 
doi:10.6084/m9.figshare.11982249 fatcat:vihsedtjmjfebjzn5iilw7cr2u

Development of a Weather Forecasting Code: A Case Study

Richard Kendall, Jeffrey C. Carver, David Fisher, Dale Henderson, Andrew Mark, Douglass Post, Clifford E. Rhoades, Susan Squires
2008 IEEE Software  
A case study of a weather-forecasting code aimed to investigate the code development challenges, understand the development tools used, and document the findings for other developers.  ...  We used the responses to plan an on-site interview, after which we iterated the results with the code team to ensure correctness. ■ ■ ■  ...  A case study of a weather-forecasting code aimed to investigate the code development challenges, understand the development tools used, and document the findings for other developers.  ... 
doi:10.1109/ms.2008.86 fatcat:5ouucrpur5bpfdtlcbcbzdn4a4

Demand Forecasting Tool For Inventory Control Smart Systems

Fatima Zohra Benhamida, Ouahiba Kaddouri, Tahar Ouhrouche, Mohammed Benaichouche, Diego Casado-Mansilla, Diego Lopez-de-Ipina
2021 Journal of Communications Software and Systems  
This paper presents an extensive literature review about demand forecasting methods for time-series data.  ...  The validation of the proposed solution is executed on Stock&Buy case study, a growing online retail platform.  ...  The survey in this paper proposed an extensive study about many forecasting methods by giving classification, comparison and analysis.  ... 
doi:10.24138/jcomss-2021-0068 fatcat:lavgmscvcbhy5pzf4pmbu2p7tm

A system for airport weather forecasting based on circular regression trees

Pablo Rozas Larraondo, Iñaki Inza, Jose A. Lozano
2018 Environmental Modelling & Software  
The software has been made publicly available as a Python package, which contains all the necessary tools to extract historical NWP and observed weather data and to generate forecasts for di↵erent weather  ...  This paper describes a suite of tools and a model for improving the accuracy of airport weather forecasts produced by numerical weather prediction (NWP) products, by learning from the relationships between  ...  presents a software application for forecasting the weather in 467 any airport of the world.  ... 
doi:10.1016/j.envsoft.2017.11.004 fatcat:troqj7gs2vgyzkfdgbluamwdbm

Exploring the sources of 'missingness' in brain tissue monitoring datasets: An observational cohort study

Charmaine Childs, Angela Li Ching Ng, Kun Liu, Jianxin Pan
2011 Brain Injury  
Research design: Observational cohort study. Methodology: Patient data-streams for brain temperature (T br ) and intracranial pressure (ICP) were analysed.  ...  Results: Sixty-two patients were studied; 60% of missing T br and ICP data events were attributed to electronic data acquisition 'faults'. Missing data rate ranged from 9-43% (median 25%).  ...  Continuous monitoring of the injured human brain is key to forecasting and ultimately avoiding catastrophic intra-cerebral events.  ... 
doi:10.3109/02699052.2011.607791 pmid:21961567 fatcat:fs7zy5bxubgo5ayk6ijyjx6pgy
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