Feature selection for UK disabled students' engagement post higher education: a machine learning approach for a predictive employment model

D Sobnath, T Kaduk, IU Rehman, O Isiaq - IEEE Access, 2020 - ieeexplore.ieee.org
While only 4.2 million people out of a population of 7.9 million disabled people are working,
a considerable contribution is still required from universities and industries to increase …

Smart Education in Smart Cities: Challenges And Solution

A Badshah, MM Nasralla, A Jalal… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Traditional education faces many challenges. Integrating recent technologies (eg, Artificial
Intelligence (AI), Internet of Things (IoT), 5G, etc) into the education system, known as smart …

A Sustainable Collaborative Talent Management Through Collaborative Intelligence Mindset Theory: A Systematic Review

YC Chew, SR Mohamed Zainal - SAGE Open, 2024 - journals.sagepub.com
As society evolves, moving forward into the realms of Industry 5.0, it is imperative to develop
a robust collaborative talent management model that can endure external crises such as the …

Sentiment Analysis and Student Emotions: Improving Satisfaction in Online Learning Platforms

A Anwar, IU Rehman, MM Nasralla… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Human emotion recognition using artificial intelligence is among the most prominent
research areas. Human-Computer Interaction (HCI) and Sentiment Analysis (SA) are …

A proposed machine learning based approach to support students with learning difficulties in the post-pandemic norm

MS Sharif, W Elmedany - 2022 IEEE Global Engineering …, 2022 - ieeexplore.ieee.org
Over the years, there have been many factors that have had an influence on the landscape
of higher education in the UK. These factors include the rise of tuition fees, the introduction …

The Development of Intelligent Agents: A Case-Based Reasoning Approach to Achieve Human-Like Peculiarities via Playback of Human Traces

NA Butt, Z Mahmood, GU Rehman, MM Nasralla… - IEEE …, 2023 - ieeexplore.ieee.org
Recent advances in the digital gaming industry have provided impressive demonstrations of
highly skilful artificial intelligence agents capable of performing complex intelligent …

[图书][B] Machine Learning aplicado al rendimiento académico en educación superior: factores, variables y herramientas

LE Contreras, GM Tarazona Bermúdez… - 2023 - books.google.com
Las herramientas de aprendizaje automático están siendo muy utilizadas por sus buenas
aproximaciones al predecir el rendimiento académico de los estudiantes. Se analiza …

Using AI to Improve Accessibility and Inclusivity in Higher Education for Students with Disabilities

X Mitre, M Zeneli - 2024 21st International Conference on …, 2024 - ieeexplore.ieee.org
Around 1.3 billion, or more than 15% of the global population, suffer from a significant form
of disability, with students and researchers in this category being underrepresented in …

Malware Analysis for IoT and Smart AI-Based Applications

SED Arshad, MM Nasralla, SBA Khattak… - … Malware: Offensive and …, 2023 - Springer
One of the major challenges in today's world of the Internet of Things (IoT) and smart
applications is the wide deployment of millions of devices that require a reliable and secure …

Original Research Article Intelligent approaches for early prediction of learning disabilities in children using learning patterns: A survey and discussion

S Patil, R Apare, R Borhade… - Journal of Autonomous …, 2024 - jai.front-sci.com
Learning disabilities in children occur in early childhood age. These disabilities include
dyslexia, dysgraphia, dyscalculia, ADHD, etc. These children face difficulty in academic …