driven precast reinforced concrete piles (dprcp) is extensively used as a foundation for bridges constructed over canals in egypt in order to avoid the diversion of water canals. the objectives of this research include identifying the main activities of dprcp execution in the bridge-construction industry in egypt and the risk factors affecting them. in addition, assessment of the effects of the...

accurate forecasting of streamflows has been one of the most important issues as it plays a key role in allotment of water resources. river flow simulations to determine the future river flows are important and practical. given the importance of flow in the coming years, in this research three stations: haji qooshan, ghare shoor and tamar in gorganrood cachment were simulated in 2002-2011. to s...

Abstract Due to the complexity of deterioration process seafood products, relying on one indicator is not adequate determine quality such products. Usually, shelf-life was estimated based various indicators complicating decision-making process. Decision Support Systems are considered as a good solution. The current study aims establish simple and novel fuzzy model combination knowledge- data-dr...

around 80% of the population relies on agriculture, rice being the staple food. topography urges farmers to cultivate upland rice. the chinese interest in rubber latex has stimulated farmers to grow rubber, although the technical knowledge regarding tree management and latex processing is poor. a study was conducted in an area in luang prabang province to examine the suitability of upland rice ...

Credit scoring or credit risk assessment is an important research issue in the banking industry. The major challenge of credit scoring is to recruit the profitable customers by predicting the bankrupts. The credit scoring carried out by traditional data driven approaches resulted only in an imprecise solution. Also the domain-driven based multiple criteria and multiple constraint (MC2) level pr...

tthe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. this paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. as a novelty, the proposed controller employs a simple gaussian radial-basis-function network as an uncertainty estimator. the proposed netw...