Search

Presentation for the AMI Conference 2022

The purpose of this research work was to highlight the factors which might contribute to the successful deployment of E-learning in individual, technological and institutional perspective in the rural areas of Pakistan. It further proposed that an ICT platform can effectively bridge the identified gaps and deployed an efficient E-learning platform. In order to probe the factors affecting E-learning systems several close ended questionnaires were used. To fill the close ended questionnaire probability cluster sampling technique was used. The adopted close-ended questionnaires were filled by the university students belonging to the rural areas of Pakistan. The results of this study showed that individual perspective consisting of student’s characteristics and instructor’s characteristics had a significant positive effect on the deployment of E-learning. The technological perspective also had a significant positive effect on the E-learning deployment. Additionally, an institutional perspective which consisted of E-learning environment, learning methods, school building and computing resources also had significant positive association on the E-learning deployment in the rural areas of Pakistan.

This extended abstract contains the ?nding of two broad studies. Each study examines ideas of the challenges arising from aspects of cyber security in using Intrusion Detection mechanisms together with Arti?cial Intelligence (AI) and Machine Learning techniques in the protection of small and medium enterprises (SMEs) in the UK, for its operations and commercial environment. Both papers explored intrusion, detection, and prevention methods as a priority in the realisation of keeping their data secure and safe with the integration of real-world objects within the internet such as Machine Learning techniques and AI. Both papers go on to then establish the various methods of improving its cyber security.

Since the Coronavirus (SARS-Cov-2: Covid-19) outbreak, the pandemic of 2020, mobile Applications (apps) via the Internet of Things (IoT: smart-phones, sensors and devices) and Internet of Everything (IoE: Cloud and Phone networks) continue to play a key role in tracking and tracing programs. Many countries seek different approaches to minimise person-person transmission [1, 2].

The demand for practising physical activity for training and educational purposes has increased globally. This paper presents the evaluation of using creative technological and fabrication innovation as fundamental alternative to reality in a safe space. The new normal era is about using collaboration technologies to the maximum1 , by developing skills and improving self-production of virtual collaborative work2 ,such as artwork using virtual pottery as an example.

The cloud computing model has brought in a bevy of digital innovations and disruptions. With the faster proliferation of containers, which are being positioned as the most optimal runtime for microservices-centric applications, the usage of container orchestration platform solutions (alternatively container life-cycle management platforms) has recently gone up significantly. Therefore, establishing, sustaining and managing containerized cloud environments is getting a lot of interest among worldwide cloud experts and data center pioneers.

Computers have significantly improved healthcare over the past decades. Healthcare organizations have benefited from advanced computers that can upgrade and automate healthcare activities. These computers have transformed - from physical to virtual - the management, usage and monitoring of health data

Digital Pottery: Novel Information Systems and Workflow Process for Virtual and Physical Artistic Visualizations of Sound on Ceramics

Management Information Systems and Cyber Security in Government, Public and Private Institutions Comparison of Developing and Developed Countries

Data Cleaning: Challenges and Novel Solutions

Digital Health Electronic Market Place DHEMP: A Blockchain Driven Digital Health E-Market Place for Medical Data Trading