Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by Kehinde Agbele
Total Records ( 4 ) for Kehinde Agbele
  Kehinde Agbele , Ademola Adesina , Daniel Ekong and Oluwafemi Ayangbekun
  People use search engines to find information they desire with the aim that their information needs will be met. Information Retrieval (IR) is a field that is concerned primarily with the searching and retrieving of information in the documents and also searching the search engine online databases and internet. Genetic Algorithms (GAs) are robust, efficient and optimization methods in a wide area of search problems motivated by Dawn’s principles of natural selection and survival-of-the-fittest. This study presents a novel framework of Information Retrieval Systems (IRS). This study looks at how GAs can be applied in the field of IR and specifically the relevance of Genetic Algorithms to Internet web search. Finally, from the proposals surveyed it turns out that GA is applied to diverse problem fields to internet web search.
  Kehinde Agbele , Henry Nyongesa and Ademola Adesina
  This study examines issues pertinent to the rapidly evolving use of information as a currency of modern economies. Access to information has important benefits that can be achieved in many areas including, social-economic development, education and healthcare. In healthcare, for example, access to appropriate information can minimise visits to physicians and periods of hospitalisation for patients suffering from chronic conditions, such as asthma, diabetes, hypertension and HIV/AIDS. This will in turn reduce the cost of healthcare provision. This study examines theoretical and conceptual aspects of E-health as an ICT application area. Various definitions are presented in order to expound concepts associated with E-health. In the study, the links to a successful chain of trust to manage patient health records for E-health deployment are described. These are based on four technology pillars: identity management, asset management, data storage and information security. Practical solutions for integration of E-health with human, material and financial resources are explored.
  Kehinde Agbele , Henry Nyongesa and Ademola Adesina
  This study examines issues pertinent to the rapidly evolving use of information as a currency of modern economies. Access to information has important benefits that can be achieved in many areas including, social-economic development, education and healthcare. In healthcare, for example, access to appropriate information can minimise visits to physicians and periods of hospitalisation for patients suffering from chronic conditions, such as asthma, diabetes, hypertension and HIV/AIDS. This will in turn reduce the cost of healthcare provision. This study examines theoretical and conceptual aspects of E-health as an ICT application area. Various definitions are presented in order to expound concepts associated with E-health. In the study, the links to a successful chain of trust to manage patient health records for E-health deployment are described. These are based on four technology pillars: identity management, asset management, data storage and information security. Practical solutions for integration of E-health with human, material and financial resources are explored.
  Kehinde Agbele , Bayo Adetunmbi , Segun Olajide and Daniel Ekong
  Today, searching information in the web or in any kind of document collection has become one of the most regular activities. Though, user queries can be formulated in a way that hinders the recovery of the requested information. The objective of automatic query reformulation is to improve the predicted relevance of the retrieved documents. This study describes a new OPTRANDOC algorithm; an acronym for OPTmize RANking DOCuments procedure used to modify the set of keyword terms from the information sources that compose a user query with the use of a SMS based on HIV/AIDS content-related corpus. The proposed method extracts the frequency of SMS-query keyword terms that appears within the context of (FAQs) databases. This study presents a novel framework of Information Retrieval Systems (IRS). The developed OPTRANDOC procedure is used as an evaluation measure. Researchers apply TFIDF method to obtain the trial results for which the SMS corpus provides its different forms that is promising with its attractive results.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility