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The paediatric orthopaedic expert system analyses and predicts the healing time of limb fractures in children using machine learning. As far we know, no published research on the paediatric orthopaedic expert system that predicts paediatric fracture healing time using machine learning has been published. The University Malaya Medical Centre (UMMC) offers paediatric orthopaedic data, comprises children under the age of 12 radiographs limb fractures with ages recorded from the date and time of initial trauma. SVR algorithms are used to predict and discover variables associated with fracture healing time. This study developed an expert system capable of predicting healing time, which can assist general practitioners and healthcare practitioners during treatment and follow-up. The system is available online at https://kidsfractureexpert.com/., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

This paper presents a development of an expert system to be used as an advisory in finding the solution to problems which are normally solved by human experts. The E-ACTIVETRANS is developed to help young engineers/planners in designing a new cycle lane in urban areas and also to help in reallocation of an existing roadway space for cycle lanes. This system has three sub-systems: Planning on Strategies to Shift from Passive Transportation to Active Transportation, Design on Bicycle Facilities and Examples of Successful Implementation. This paper focuses on the design of bicycle facilities whereby the prototype was developed based on data acquired from the domain experts who are involved in bicycle facility module design, as well as the initial text analysis obtained during the domain familiarisation stage. The validation of the system was performed through a comparison of knowledge content in E-ACTIVETRANS based on expert opinion. The average level of acceptance is 91 percent which validates the system and knowledge of the experts. [ABSTRACT FROM AUTHOR]

Urban development has been particularly rapid in Malaysia. An adverse environmental effect of urban growth in Malaysia has been the frequent occurrence of excessive soil losses from construction sites. According to Malaysian regulations, construction activities require an erosion and sediment control plan duly approved by the Department of Drainage and Irrigation before starting activities. An erosion and sediment control plan is for the local authority to effectively manage construction projects with particular emphasis on minimizing soil erosion during construction activities. The selection of temporary soil stabilization technique is an important, but complex and time-consuming, task that has to deal with a huge amount of data, domain regulations, and expert knowledge in terms of environmental protection, water pollution prevention, and soil erosion mitigation. An expert system has been successfully applied in various domains including environmental science. In this paper, an expert system - TSST - developed by using Microsoft Visual Basic was introduced. TSST to be used for selection of temporary soil stabilization technique at housing and new township development projects was designed based on the legal process in Malaysia. TSST primarily aims to provide an educational and support system for engineers and decision-makers during construction activities in terms of having the least negative impact around the area. It displays an erosion and sediment control plan in report form. When the use of TSST in such a plan becomes widespread, it is highly possible that it will benefit in terms of having more accurate and objective decisions on construction projects that are mainly focused on erosion and sediment control measures. [ABSTRACT FROM AUTHOR]

Abstract: The stormwater management in construction site is an important, complicate and time-consuming task that relates to huge amount of information, data, domain law, and expert knowledge and experience in terms of environmental protection, soil erosion, and receiving water protection. This paper presents an expert system “RP3CA” that is used to mitigate stormwater pollution during construction activities. A most important function of the RP3CA is its user interface, which utilizes Geographic Information System functions as a supportive component to display spatial maps. Decision tables and trees are used to acquire expert knowledge and experience. Certainty Factor is used for measuring the expert belief or disbelief of the system rules. Opinion integration of multiple experts is obtained by application of Expert Choice software where various alternatives are available. Assessment suggestions and results are derived utilizing a forward chaining inference mechanism. Unit testing, integrated testing, system testing, two test cases, comparison of system results, internal experts, and external experts, reviewers feedback by system application, and validation of system reasoning are used to demonstrate the proposed RP3CA. [Copyright &y& Elsevier]

The tropical rainforest of Malaysia holds one of the richest flora in the world. The favourable climate has produced flora of amazing richness and variety. Terrestrial vegetation of tropical rainforests is an important feature of the environment. Plants play a major role in the environment and conservation of a particular environment depends fundamentally on the maintenance of existing plants and their communities and hierarchies. Interference in the balance of the ecosystem may produce radical changes that lead to progressive deviations from the original situation. Therefore, the application of a computer technology in the form of an expert system (ES) will be able to help in theanalysis and management of the EIA information. The ES is named VEGEVIC. Application of the system will lead to greater consistency in the application of EIA through implementation of a standard approach. [ABSTRACT FROM AUTHOR]