Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

20 articles for “temporal decision”
Set a search alert
Research ArticleOpen accessIn the abstractDevelopment of the Municipal Employee’s Performance Efficiency and Effectiveness Indicators on the Basis of Functional and Process ApproachesElena Ivanovna Danilina, Dmitry V. GorelovOne of the most difficult problems in evaluation of performance effectiveness of municipal employees is developing a list of relevant criteria and indicators. The purpose of this article is to develop schematic scientifically grounded criteria to evaluate the effectiveness of the professional performance of municipal employees. The article considers the model for the development of a system of performance efficiency … …American Journal of Economics and Business Administration, Vol. 6, Issue 4 · 2 Jan 2015 · 6,710 accessesView PDFCite
EditorialOpen accessIn the abstractON THE CHALLENGES OF THE USE AND INTEGRATION OF RENEWABLE ENERGY SOURCESMariano MartínOverview: Although renewable energy sources are plentiful, their availability is highly volatile in time and distributed across regions while and the processes that transform them into useful power or chemicals are underdeveloped. In this work we discuss on the scope for the use and integration of renewable energy sources and the future development of the alternatives. Energy, the sources and … …Energy Research Journal, Vol. 5, Issue 1 · 11 Sep 2014 · 7,540 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONSTRAINT SOVLING ENGINE BASED NURSE ROSTERING WITH INTELLIGENT BACKTRACKINGS. Chitrakala, S. P. Surendernath, R. PriyatharshiniEfficient utilization of time and effort is essential in Personnel scheduling problems to evenly balance the workload among the people and attempt to satisfy the personnel preferences. In Constraint Satisfaction Problem based scheduling problems, when a branch of the search fails the backtracking search algorithm back up to the preceding variable and try a different value for it. So here … …Journal of Computer Science, Vol. 10, Issue 10 · 22 May 2014 · 6,942 accessesView PDFCite
Research ArticleOpen accessIn the abstractVariability of Hydraulic Conductivity Due to Multiple FactorsSanjit K. Deb, Manoj K. ShuklaSoil properties are greatly influenced by intrinsic factors of soil formation as well as extrinsic factors associated with land use and management and vary both in time and space. Intrinsic variability is caused by the pedogenesis and usually takes place at large time scales. The variability caused by extrinsic factors could take effect relatively quickly and could not be treated … …American Journal of Environmental Sciences, Vol. 8, Issue 5 · 13 Aug 2012 · 10,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Named Entity Recognition Using Artificial Neural NetworkNaji F. Mohammed, Nazlia OmarProblem statement: Named Entity Recognition (NER) is a task to identify proper names as well as temporal and numeric expressions, in an open-domain text. The NER task can help to improve the performance of various Natural Language Processing (NLP) applications such as Information Extraction (IE), Information Retrieval (IR) and Question Answering (QA) tasks. This study discusses on the Named Entity … …Journal of Computer Science, Vol. 8, Issue 8 · 16 Jul 2012 · 8,676 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Rule Generation Techniques using Computational MethodG. Maragatham, M. LakshmiProblem statement: Enhanced decision making seeks a right of way mainly in business sectors for mining profitable patterns in databases. To address this problem, the authors have incorporated the temporal and utility concept of mining effective rules. Though the objective of generating profitable rule set is achieved. Still in effective decision making, Optimization of the rule set is required. Therefore … …Journal of Computer Science, Vol. 8, Issue 7 · 9 May 2012 · 6,624 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Shrimp Farm Effluent on Water Quality in Coastal Areas of the World Heritage-Listed Ha Long BayThuyet D. Bui, Jim Luong-Van, Chris M. AustinProblem statement: Shrimp farming has rapidly developed in coastal areas of the World Heritage-listed Ha Long Bay since the last decade. Effluent discharged from shrimp farms with high levels of nutrient waste may cause eutrophication in receiving waterways. Therefore, assessing water quality at tidal creeks receiving shrimp farm effluent in coastal areas of Ha Long Bay supports environmental protection and … …American Journal of Environmental Sciences, Vol. 8, Issue 2 · 3 Mar 2012 · 11,283 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing the Applicability of Landslide Databases for Hazard Management Using Objective and Subjective Models: Australian Geoinformatic CaseM. OwneghProblem statement: In order to assess the applicability of Australian landslide databases as a hazard management support system, current hard and soft literature and data sources were screened. This assessment resulted in the selection of four main data bases including national landslide database (A), Peril Aus ІІ (B), the Cities project (C) and analytical study of Fell (D). Approach: In … …Current Research in Geoscience, Vol. 1, Issue 1 · 30 Jun 2010 · 10,352 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransforming Spatio-Temporal Yield Maps to Classified Management Zone Maps for Efficient Management of Oil PalmAbdul Rahim Anuar, Kah Joh Goh, Tee Bee Heoh, Osumanu Haruna AhmedOne of the major challenges in oil palm plantations today is proper interpretation of yield maps for site-specific management and development of classified management zone maps for its efficient management. A study was conducted on an on-going fertilizer response trial in Sabah, Malaysia to examine the possibility of converting spatio-temporal yield maps of oil palm to classified management zone maps … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 7,500 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Machine Learning-Based Sentiment Analysis of Article 370 Tweets to Support Government Policy DecisionsSubhasis Mohapatra, Sudhir Kumar Mohapatra, Sweta Samantaray et al.This study proposes a robust sentiment analysis framework to evaluate public opinion on the abrogation of Article 370 using Twitter data. The methodology begins with tweet collection through the Twitter API, followed by systematic preprocessing. Sentiment labels were generated using the Text Blob lexicon-based polarity scoring approach to facilitate the construction of a large-scale sentiment dataset. Features are extracted, and … …Journal of Computer Science, Vol. 22, Issue 6 · 2 Jul 2026 · 914 accessesView PDFCite