The Experts below are selected from a list of 42744 Experts worldwide ranked by ideXlab platform
Raymond S T Lee - One of the best experts on this subject based on the ideXlab platform.
-
ijade stock advisor an Intelligent Agent based stock prediction system using hybrid rbf recurrent network
Systems Man and Cybernetics, 2004Co-Authors: Raymond S T LeeAbstract:Financial predictions, such as stock forecasts, is always one of the hottest topics for research studies and commercial applications. With the rapid growth of Internet technology in recent years, e-finance has become a vital application of e-commerce. However, in this "sea" of information, made available through the Internet, an "Intelligent" financial web-mining and stock prediction system can be a key to success. In this paper, the author introduces the iJADE Stock Advisor-an Intelligent Agent-based stock prediction system using our proposed hybrid radial basis-function recurrent network (HRBFN). By using ten-year stock pricing information (1990-1999), consisting of 33 major Hong Kong stocks for testing, the iJADE Stock Advisor has achieved promising results in terms of efficiency, accuracy, and mobility as compared with other contemporary stock prediction models. Also, various analyzes on this stock advisory system have been performed: including round trip time (RTT) analysis, window-size evaluation test (for both long-term trend and short-term prediction), and stock prediction performance test.
Kuce Yeh - One of the best experts on this subject based on the ideXlab platform.
-
Intelligent Agent based predict system with cloud computing for enterprise service platform in iot environment
IEEE Access, 2021Co-Authors: Weijun Yang, Yuqiang Chen, Yehcheng Chen, Kuce YehAbstract:If the product supply shortage during the sales period, customers will turn to other company, so the enterprise will shortage the sales opportunity. The enterprise can predict product demands, and manages the product sales. To use the supply chain management prediction system to improve the bottleneck of the inventory; thus, the hot sales product has more critical time utilization and the inventory status reflected quickly in Internet of Things (IoT). Because replenishment model cannot show the actual quantity of products on the store shelves. Therefore, this article proposed the Intelligent Agent-based predict system, that Agent-based serves as framework to construct an integrated predict system, use radio frequency identification (RFID) technology to design the Intelligent product predict shelf to extract products message, and the service oriented architecture to develop an predict information to provide the product as recommend customer services. The result of the paper, to propose an Agent-based cloud computing service platform in IoT, and Intelligent Agents with SOA as backend cloud services. To build a prototype predict system with performance analysis. The results proved that the predict system architecture for Intelligent Agent-based predict system could increase operation performance and enhance effectively for customer service quality for hot sale products.
Huaiqing Wang - One of the best experts on this subject based on the ideXlab platform.
-
Intelligent Agent supported personalization for virtual learning environments
Decision Support Systems, 2006Co-Authors: Huaiqing WangAbstract:Virtual learning environments (VLEs) are computer-based online learning environments, which provide opportunities for online learners to learn at the time and location of their choosing, whilst allowing interactions and encounters with other online learners, as well as affording access to a wide range of resources. They have the capability of reaching learners in remote areas around the country or across country boundaries at very low cost. Personalized VLEs are those VLEs that provide a set of personalization functionalities, such as personalizing learning plans, learning materials, tests, and are capable of initializing the interaction with learners by providing advice, necessary instant messages, etc., to online learners. One of the major challenges involved in developing personalized VLEs is to achieve effective personalization functionalities, such as personalized content management, learner model, learner plan and adaptive instant interaction. Autonomous Intelligent Agents provide an important technology for accomplishing personalization in VLEs. A number of Agents work collaboratively to enable personalization by recognizing an individual's eLearning pace and reacting correspondingly.In this research, a personalization model has been developed that demonstrates dynamic eLearning processes; secondly, this study proposes an architecture for PVLE by using Intelligent decision-making Agents' autonomous, pre-active and proactive behaviors. A prototype system has been developed to demonstrate the implementation of this architecture. Furthermore, a field experiment has been conducted to investigate the performance of the prototype by comparing PVLE eLearning effectiveness with a non-personalized VLE. Data regarding participants' final exam scores were collected and analyzed. The results indicate that Intelligent Agent technology can be employed to achieve personalization in VLEs, and as a consequence to improve eLearning effectiveness dramatically.
-
Intelligent Agent assisted decision support systems integration of knowledge discovery knowledge analysis and group decision support
Expert Systems With Applications, 1997Co-Authors: Huaiqing WangAbstract:Abstract The integration of data mining techniques with decision support systems to assist in dealing with information overload has received increased attention and importance over recent years. However, challenges remain regarding practical deployment and implementation of such integration, due to the increased complexity of decision making, system co-ordination and knowledge communication. It is the purpose of this paper to outline the issues necessary to be addressed in a practical decision support system that integrates data mining techniques. The paper will describe a novel architecture to support the co-operative decision process by utilizing event-driven and task-driven data mining Agents, along with user assistant Agents and a knowledge manager Agent. An internet-based prototype for supporting marketing planning decisions is also presented to demonstrate the practicality and feasibility of the proposed Intelligent Agent-based decision support system architecture.
Aniruddha S. Bhamare - One of the best experts on this subject based on the ideXlab platform.
-
WhatsApp Intelligent Agent Using Raspberry Pi
Journal of emerging technologies and innovative research, 2016Co-Authors: Abhijit M. Patil, Tushar R. Mahajan, Aniruddha S. BhamareAbstract:The initial aim behind developing this project is to provide important services for free, especially those ones, which are usually charged by mobile operators. In order to provide services first user has to add WhatsApp Intelligent Agent to contacts. After adding this Intelligent Agent to WhatsApp group, user is provided with catalogue of different services available for selection. User can subscribe the services as per choice as well as unsubscribe the services. After successful subscription of services the results of subscribed services will be provided to user in the form of text and/or links and/or images automatically. This service can be readily used by common man with minimal configuration changes. This is a project with the objective to develop a system where a user is provided with some services and also to know about To develop a Intelligent service where user can subscribe for various services from the WhatsApp through the Internet. The user will check through available services and add services to subscription and later get updates. The user will be displayed with updates of subscribed services. This project helps user to subscribe to several services with just sending keyword for services from the ease of their own environment. Further it provides a platform for user to select services and get updates. It will provide easy way for user to select services from service menu and it will generate a subscription message. This subscription message contains a name of subscribed service and keyword for subscription of same service. Sending this keyword by the user the service will be subscribed. This will initiate a new era of providing information, news, cricket score, jokes etc. automatically and advertisement on WhatsApp. II. PROPOSED SYSTEM After studying above it has been noticed that few of the services are available on other social messaging service applications though they are not available on WhatsApp. Also it is very time consuming to search manually on the web for different information. To overcome all the above problems we have proposed WhatsApp Intelligent Agent. WhatsApp Intelligent Agent provides user a service menu to select services according to his/her choice for subscription. It is an excellent service for all the users who browse, search on the web for the required information with the help of browser. WIA provides updates for the subscribed services in the form of WhatsApp message. User can also unsubscribe services. Updates will be provided to user as the new updates are available.
-
WhatsApp Intelligent Agent Using Raspberry Pi
Journal of emerging technologies and innovative research, 2016Co-Authors: Abhijit M. Patil, Tushar R. Mahajan, Aniruddha S. BhamareAbstract:The initial aim behind developing this project is to provide important services for free, especially those ones, which are usually charged by mobile operators. In order to provide services first user has to add WhatsApp Intelligent Agent to contacts. After adding this Intelligent Agent to WhatsApp group, user is provided with catalogue of different services available for selection. User can subscribe the services as per choice as well as unsubscribe the services. After successful subscription of services the results of subscribed services will be provided to user in the form of text and/or links and/or images automatically. This service can be readily used by common man with minimal configuration changes. This is a project with the objective to develop a system where a user is provided with some services and also to know about To develop a Intelligent service where user can subscribe for various services from the WhatsApp through the Internet. The user will check through available services and add services to subscription and later get updates. The user will be displayed with updates of subscribed services. This project helps user to subscribe to several services with just sending keyword for services from the ease of their own environment. Further it provides a platform for user to select services and get updates. It will provide easy way for user to select services from service menu and it will generate a subscription message. This subscription message contains a name of subscribed service and keyword for subscription of same service. Sending this keyword by the user the service will be subscribed. This will initiate a new era of providing information, news, cricket score, jokes etc. automatically and advertisement on WhatsApp. II. PROPOSED SYSTEM After studying above it has been noticed that few of the services are available on other social messaging service applications though they are not available on WhatsApp. Also it is very time consuming to search manually on the web for different information. To overcome all the above problems we have proposed WhatsApp Intelligent Agent. WhatsApp Intelligent Agent provides user a service menu to select services according to his/her choice for subscription. It is an excellent service for all the users who browse, search on the web for the required information with the help of browser. WIA provides updates for the subscribed services in the form of WhatsApp message. User can also unsubscribe services. Updates will be provided to user as the new updates are available.
Christian Guetl - One of the best experts on this subject based on the ideXlab platform.
-
Evaluation of Intelligent Agent Frameworks for Human Learning
International Journal of Engineering Pedagogy (iJEP), 2011Co-Authors: Mohamed Soliman, Christian GuetlAbstract:Pedagogical Agents are Intelligent Agents supporting learning in virtual learning environments, VLE. The use of the multi-Agent society model inhabited with Intelligent virtual Agents has shown to provide several benefits to learning. This paper reviews Intelligent Agents for learning and shows their educational value while demonstrating the new learning possibilities supported by them. Towards the objective of efficiently utilizing the Agents in a distributed learning platform, the paper provides an evaluation of Intelligent Agent development frameworks. This evaluation will provide valuable information to those employing and integrating Intelligent Agents for different types of VLE with a view towards creating new learning scenarios
-
Evaluation of Intelligent Agent Frameworks for Human Learning in Virtual Worlds
International Journal of Engineering, 2011Co-Authors: Mohamed Soliman, Christian GuetlAbstract:Pedagogical Agents are Intelligent Agents supporting learning in virtual learning environments, VLE. The use of the multi-Agent society model inhabited with Intelligent virtual Agents has shown to provide several benefits to learning. This paper reviews Intelligent Agents for learning and shows their educational value while demonstrating the new learning possibilities supported by them. Towards the objective of efficiently utilizing the Agents in a distributed learning platform, the paper provides an evaluation of Intelligent Agent development frameworks. This evaluation will provide valuable information to those employing and integrating Intelligent Agents for different types of VLE with a view towards creating new learning scenarios
