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  • Open Access

    ARTICLE

    Threefold Optimized Forecasting of Electricity Consumption in Higher Education Institutions

    Majida Kazmi1,*, Hashim Raza Khan1,2, Lubaba2, Mohammad Hashir Bin Khalid2, Saad Ahmed Qazi1,2

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2351-2370, 2022, DOI:10.32604/cmc.2022.026265 - 16 June 2022

    Abstract Energy management benefits both consumers and utility companies alike. Utility companies remain interested in identifying and reducing energy waste and theft, whereas consumers’ interest remain in lowering their energy expenses. A large supply-demand gap of over 6 GW exists in Pakistan as reported in 2018. Reducing this gap from the supply side is an expensive and complex task. However, efficient energy management and distribution on demand side has potential to reduce this gap economically. Electricity load forecasting models are increasingly used by energy managers in taking real-time tactical decisions to ensure efficient use of resources.… More >

  • Open Access

    ARTICLE

    Optimized Artificial Neural Network Techniques to Improve Cybersecurity of Higher Education Institution

    Abdullah Saad AL-Malaise AL-Ghamdi1, Mahmoud Ragab2,3,4,*, Maha Farouk S. Sabir1, Ahmed Elhassanein5,6, Ashraf A. Gouda4

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3385-3399, 2022, DOI:10.32604/cmc.2022.026477 - 29 March 2022

    Abstract Education acts as an important part of economic growth and improvement in human welfare. The educational sectors have transformed a lot in recent days, and Information and Communication Technology (ICT) is an effective part of the education field. Almost every action in university and college, right from the process from counselling to admissions and fee deposits has been automated. Attendance records, quiz, evaluation, mark, and grade submissions involved the utilization of the ICT. Therefore, security is essential to accomplish cybersecurity in higher security institutions (HEIs). In this view, this study develops an Automated Outlier Detection… More >

  • Open Access

    ARTICLE

    Artificial Intelligence Techniques Based Learner Authentication in Cybersecurity Higher Education Institutions

    Abdullah Saad AL-Malaise AL-Ghamdi1, Mahmoud Ragab2,3,4,*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3131-3144, 2022, DOI:10.32604/cmc.2022.026457 - 29 March 2022

    Abstract Education 4.0 is being authorized more and more by the design of artificial intelligence (AI) techniques. Higher education institutions (HEI) have started to utilize Internet technologies to improve the quality of the service and boost knowledge. Due to the unavailability of information technology (IT) infrastructures, HEI is vulnerable to cyberattacks. Biometric authentication can be used to authenticate a person based on biological features such as face, fingerprint, iris, and so on. This study designs a novel search and rescue optimization with deep learning based learning authentication technique for cybersecurity in higher education institutions, named SRODL-LAC… More >

  • Open Access

    ARTICLE

    Enhanced Artificial Intelligence-based Cybersecurity Intrusion Detection for Higher Education Institutions

    Abdullah S. AL-Malaise AL-Ghamdi1, Mahmoud Ragab2,3,4,*, Maha Farouk S. Sabir1

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2895-2907, 2022, DOI:10.32604/cmc.2022.026405 - 29 March 2022

    Abstract As higher education institutions (HEIs) go online, several benefits are attained, and also it is vulnerable to several kinds of attacks. To accomplish security, this paper presents artificial intelligence based cybersecurity intrusion detection models to accomplish security. The incorporation of the strategies into business is a tendency among several distinct industries, comprising education, have recognized as game changer. Consequently, the HEIs are highly related to the requirement and knowledge of the learner, making the education procedure highly effective. Thus, artificial intelligence (AI) and machine learning (ML) models have shown significant interest in HEIs. This study… More >

  • Open Access

    ARTICLE

    Cloud-Based Knowledge Management Framework for Decision Making in Higher Education Institutions

    Muhammad Younas1,2,*, Ahmad Shukri Mohd Noor2, Muhammad Arshad1

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 83-99, 2022, DOI:10.32604/iasc.2022.018332 - 03 September 2021

    Abstract The education sector is now necessitated to align itself with the latest innovative technological trends in the industry to be competitive while transforming database management practices. The Higher Education Institutions (HEIs) are currently using cloud-based applications at varied implementation levels while others are following the shifting trends. On-demand availability of consolidated information is a critical success factor to perform decision-making activities; as a result, quite a bit of research work has been performed in this realm. The study is aimed to propose an efficient framework that is capable of extracting the desired information from an More >

  • Open Access

    ARTICLE

    An Efficient Utilization of Blackboard Ally in Higher Education Institution

    Ahmad Almufarreh, Muhammad Arshad*, Sameer Hassan Mohammed

    Intelligent Automation & Soft Computing, Vol.29, No.1, pp. 73-87, 2021, DOI:10.32604/iasc.2021.017803 - 12 May 2021

    Abstract Without the constraints of time and place, e-learning can offer a strong learning environment. The notion of e-learning has taken on a new sense with the advent and popularization of mobile devices and ubiquitous computing, enabling students to have access to several diverse opportunities for communicating with e-learning programs. Around the same time, it has prompted the course’s planners to select the most suitable technology from among the various innovations required for the storing and dissemination of information representation. As a Learning Management System (LMS), the Blackboard system now has a recognized role in the… More >

  • Open Access

    ARTICLE

    E-Learning during COVID-19 Outbreak: Cloud Computing Adoption in Indian Public Universities

    Amit Kumar Bhardwaj1, Lalit Garg2,*, Arunesh Garg1, Yuvraj Gajpal3

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2471-2492, 2021, DOI:10.32604/cmc.2021.014099 - 28 December 2020

    Abstract In the COVID-19 pandemic situation, the need to adopt cloud computing (CC) applications by education institutions, in general, and higher education (HE) institutions, in particular, has especially increased to engage students in an online mode and remotely carrying out research. The adoption of CC across various sectors, including HE, has been picking momentum in the developing countries in the last few years. In the Indian context, the CC adaptation in the HE sector (HES) remains a less thoroughly explored sector, and no comprehensive study is reported in the literature. Therefore, the aim of the present… More >

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