Cognitive computing offers a good range of technological platforms that enhance the performance of online learning systems and is meant for assisting both instructors as well as students in leveraging the delivery of enriched content. In comparison to conventional e-learning systems, the inclusion of cognitive computing can escalate the performance efficiency of online learning. As a result, natural language processing and machine learning have generated a lot of interest in the research community. At present, it is an ongoing exploration towards finding the best possible means to use cognitive computing. The manuscript proposes a tentative plan for the next level of implementation using contextual analysis in order to improve the interaction between the computational model and user, as well as a proposition of using the network for analyzing massive educational data. This manuscript offers insights into the strength of using cognitive computing in an educational system and offers a future plan to integrate it for an optimal learning experience by each learner/student.

Deep learning is playing a major role in identifying complicated structure, and it outperforms in term of training and classification tasks in comparison to traditional algorithms. In this work, a local cloud-based solution is developed for classification of Alzheimer’s disease (AD) as MRI scans as input modality. The multi-classification is used for AD variety and is classified into four stages. In order to leverage the capabilities of the pre-trained GoogLeNet model, transfer learning is employed. The GoogLeNet model, which is pre-trained for image classification tasks, is fine-tuned for the specific purpose of multi-class AD classification. Through this process, a better accuracy of 98% is achieved. As a result, a local cloud web application for Alzheimer’s prediction is developed using the proposed architectures of GoogLeNet. This application enables doctors to remotely check for the presence of AD in patients.

Service and service systems concepts are fundamental constructs for the development of the emergent SSME, ITSM, and Service Oriented Software (SOS) knowledge streams. A diversified literature has provided a richness of findings, but at the same time, the lack of standardized conceptualizations is a source of confusion to IT practitioners and academics. Given this problematic situation, we pose that a systems approach is useful to address it. In this article, we review and synthesize key studies in these knowledge streams to design: (i) a framework to characterize both concepts under a system view and, (ii) harmonized definitions (e.g. identification of shared and essential properties) for such fundamental concepts. Our main contribution is scholastic, but we are confident that the posed conceptual artifacts can be further used to elaborate standardized definition for the IT service and IT service system constructs, as well as analysis tools for describe real service systems.

Liver cancer is one the most common forms of cancer. As per statistics in 2018 published by World Health Organization, a quarter of all cancer cases are caused by infections, particularly prevalent in developing countries, including hepatitis B, which is linked to liver cancer. The mortality rate is higher in liver cancer as compared to other types of cancer. Quick and reliable diagnosis tools are of paramount importance for detecting and treating liver cancer in early stage, thus improving the likely course of a medical condition of patient. We have developed a cloud-based solution for liver tumour Segmentation, Classification and Detection in CT images based on GoogleNet architecture of Convolutional Neural Network. Experiment is carried out with training and test sets derived from TCIA repository. The results yield 96.7% accuracy for classification of tumour cells. GoogleNet architecture is used for implementation. The GoogleNet has 70,000 images in diagnosis of malignant tumor in liver cancer, providing a rich database for testing. Our algorithm has been deployed in Azure cloud.

An IT service design process is considered to be a fundamental piece of the seven key international IT Service Management (ITSM) processes frameworks (ITIL v2, ITIL v3 (and ITIL v2011), ISO 20000-4, CobIT 4.0, CMMI-SVC, MOF 4.0, and ITUP). Nevertheless the availability of IT service design processes, few –if any- descriptive-comparative studies among them have been reported. Thus, in this paper (Part I), we address this knowledge gap. An extensive descriptive-comparative review of seven IT service design processes in aforementioned frameworks is reported. Fundamental concepts (viz., design as noun, design as verb, service, service system, IT service, IT service system, and IT service architecture design) are analyzed by using a Systems Approach. Our findings indicate that the frameworks ITIL v2, ISO/IEC 20000 and Cobit 4.0 are using weak systemic concepts, while the frameworks ITIL v3, CMMI-SVC, ITUP and MOF 4.0 are more foundationally congruent with the new service systems view. Implications for ITSM theory and practice are discussed.

There is a rich amount of literature on services from Information Technology (IT) (Management view) and IT System Engineering (ITSE) (Engineering view) domains. However, such a variety has produced disparate views. Furthermore, given that IT and ITSE service-based systems must be linked to business services (the User view), conceptual interrelationships are increased, causing yet more diversity. This paper identifies that this generates a lack of theoretical conceptual cohesion and leads to multiple practical confusions. To address these issues and to reduce such conceptual gaps, an IT Service Engineering and Management Framework (ITS-EMF) is proposed. ITS-EMF is generated by careful review and examination of the main conceptualizations on IT, ITSE and business services. The paper claims that ITS-EMF is useful for: (1) mapping services concepts from disparate IT literature, (2) reducing service conceptual confusion from the multiple available sources, and (3) providing conceptual links between service constructs used in business services and IT and ITSE services layers. It concludes with the implications, both academic and practical, for engineering and managing IT services in business organizations.