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高等教育计算和信息技术学科面临的挑战(英文) 被引量:2
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作者 BECHKOUM Kamal 《中山大学学报(自然科学版)》 CAS CSCD 北大核心 2007年第S2期137-141,共5页
Despite the growth of the IT industry and the high demand for IT skills university departments seem unable to attract enough student to cater for the needs of the profession.There seems to be a misconception about the... Despite the growth of the IT industry and the high demand for IT skills university departments seem unable to attract enough student to cater for the needs of the profession.There seems to be a misconception about the difference between IT user skills and the discipline of Computing.This article attempts to do three things:1)reinforce the view that a crisis of IT skills shortage is looming;2)reiterate the fact that computing science is an exciting discipline that is central to the knowledge economy and that career prospects in IT-related jobs are very good despite the fears surrounding outsourcing and 3)suggest that HE computing departments must be flexible enough to embrace a two-facetted challenge:a)the changing landscape of IT Skills and b)the high hopes and aspirations of the first generation of our digital-native student community. 展开更多
关键词 IT SKILLS computing HIGHER education PROFESSIONAL BODIES employers knowledge economy.
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同行导师体验报告(英文)
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作者 C.C.H.Rosen 《计算机教育》 2010年第9期94-96,共3页
Students at the University of Derby are required to complete a year in industry as part of their Bachelor of Science degrees.This is a daunting prospect for some of them,and they can be reluctant to engage in the proc... Students at the University of Derby are required to complete a year in industry as part of their Bachelor of Science degrees.This is a daunting prospect for some of them,and they can be reluctant to engage in the process of finding a placement position.As part of a second year module,students seeking placement are paired with students already on placement in a mentee/mentor relationship to support the second year students in their search for an internship.This arrangement helps the mentees by introducing them to potential role models close to their experience,receiving encouragement from peers and the inculcation of belief that it is possible to find a placement.The mentors also benefit from a recognition of how much they have learnt.However,there are difficulties in establishing and managing the scheme which should be recognised.This paper reports our experience over the last three years. 展开更多
关键词 student placement peer mentoring curriculum design EMPLOYABILITY
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Deep Learning-Driven Anomaly Detection for IoMT-Based Smart Healthcare Systems
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作者 Attiya Khan Muhammad Rizwan +3 位作者 Ovidiu Bagdasar Abdulatif Alabdulatif Sulaiman Alamro Abdullah Alnajim 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第12期2121-2141,共21页
The Internet of Medical Things(IoMT)is an emerging technology that combines the Internet of Things(IoT)into the healthcare sector,which brings remarkable benefits to facilitate remote patient monitoring and reduce tre... The Internet of Medical Things(IoMT)is an emerging technology that combines the Internet of Things(IoT)into the healthcare sector,which brings remarkable benefits to facilitate remote patient monitoring and reduce treatment costs.As IoMT devices become more scalable,Smart Healthcare Systems(SHS)have become increasingly vulnerable to cyberattacks.Intrusion Detection Systems(IDS)play a crucial role in maintaining network security.An IDS monitors systems or networks for suspicious activities or potential threats,safeguarding internal networks.This paper presents the development of an IDS based on deep learning techniques utilizing benchmark datasets.We propose a multilayer perceptron-based framework for intrusion detection within the smart healthcare domain.The primary objective of our work is to protect smart healthcare devices and networks from malicious attacks and security risks.We employ the NSL-KDD and UNSW-NB15 intrusion detection datasets to evaluate our proposed security framework.The proposed framework achieved an accuracy of 95.0674%,surpassing that of comparable deep learning models in smart healthcare while also reducing the false positive rate.Experimental results indicate the feasibility of using a multilayer perceptron,achieving superior performance against cybersecurity threats in the smart healthcare domain. 展开更多
关键词 Anomaly detection deep learning Internet of Things(IoT) health care
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