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The recommender systems are recently becoming more significant in the age of rapid development of the Internet technology due to their ability in making a decision to users on appropriate choices. Collaborative filtering (CF) is the most successful and most applied technique in the design of recommender systems where items to an active user will be recommended based on the past rating records from...
Skin lesion is defined as a superficial growth or patch of the skin that is visually different than its surrounding area. Skin lesions appear for many reasons such as the symptoms indicative of diseases, birthmarks, allergic reactions, and so on. Images of skin lesions are analyzed by computer to capture certain features to be characteristic of skin diseases. These activities can be defined as automated...
Software development mostly adopts two kinds of methodologies; Traditional and Agile. In both methodologies, software changes are inevitable due to the dynamic nature of the software development project itself. One of the factors that influences the effectiveness of the change acceptance decision is the accuracy of the change effort estimation. There are two current models that have been widely used...
Different evaluator entities, either human agents (e.g., experts) or software agents (e.g., monitoring services), are involved to assess QoS parameters of candidate services, which leads to diversity in service assessments. This diversity makes the service selection a challenging task, especially when numerous qualities of service criteria and range of providers are considered. To address this problem,...
The nature of Digital Forensics Investigations is complex, which requires multidisciplinary skills, knowledge and abilities. As a result of the Digital Forensics Investigations and its training/education are relatively new, the world lacks of Digital Forensics Investigation workforces. Thus, this paper focuses on Digital Forensics training/education programs Quality Assurance and Accreditation. Quantitative...
Many IT companies are faced with an alarming rate of risks in their businesses. This can be a result of lack of experiences to control re-occurrence and prevent new risks according to the previous projects experience. On the other hand, Corrective and Preventive Actions (CAPA) are known concepts for learning from experiences to avoid non-conformities. The successful implementations of CAPA in different...
Adaptive Neural-Fuzzy Inference System (ANFIS) that integrates the best features of fuzzy systems and neural networks has been widely applied in many areas. It can be applied to synthesize controllers, which are able to tune the fuzzy control system automatically, and models that learn from past data to predict future behavior. The aim of this research is to develop an ANFIS traffic signals controller...
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