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A Sensor and Machine Learning-Based Sensory Management Recommendation System for Children with Autism Spectrum Disorders

Sensors (Basel, Switzerland), 2022-08, Vol.22 (15), p.5803

2022

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The need for and barriers to using assistive technologies among individuals with Autism Spectrum Disorders in China

Assistive technology, 2022-03, Vol.34 (2), p.242-253

2022

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An Investigation and Extension of a Hyper-heuristic Framework

Informatica (Ljubljana), 2010-12, Vol.34 (4), p.523-534

Rattadilok, P

2010

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Improving Understanding of EEG Measurements Using Transparent Machine Learning Models

Health Information Science, p.134-142

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Quantifying the Effects of Temperature and Noise on Attention-Level Using EDA and EEG Sensors

Health Information Science, p.250-262

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Android botnet detection: An integrated source code mining approach

2017 12th International Conference for Internet Technology and Secured Transactions (ICITST), 2017, p.111-115

2017

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Towards using transfer learning for Botnet Detection

2017 12th International Conference for Internet Technology and Secured Transactions (ICITST), 2017, p.281-282

2017

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A Machine Learning-Based Monitoring System for Attention and Stress Detection for Children with Autism Spectrum Disorders

Proceedings of the 2021 International Conference on Intelligent Medicine and Health, 2021, p.23-29

2021

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Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance

Engineering Applications of Neural Networks, p.161-175

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Sino-UK Educational Differences: The Impacts of Cultures and the Current Educational Curricular on Students in Computer Science

Transnational Higher Education in Computing Courses, 2019, p.39-59

2019

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Improving Student's Engagement Through the Use of Learning Modules, Instantaneous Feedback and Automated Marking

2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2018, p.802-806

2018

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Distributed Choice Function Hyper-heuristics for Timetabling and Scheduling

Lecture notes in computer science, 2005, p.51-67

2005

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Anomaly Monitoring Framework Based on Intelligent Data Analysis

Intelligent Data Engineering and Automated Learning – IDEAL 2013, p.134-141

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Effect of Sensory-based Technologies on Atypical Sensory Responses of Children with Autism Spectrum Disorder: A Systematic Review

2021 5th International Conference on E-Society, E-Education and E-Technology, 2021, p.208-218

2021

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Teaching Students About Machine Learning Through a Gamified Approach

2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2018, p.1011-1015

2018

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Teaching Key Machine Learning Principles Using Anti-learning Datasets

2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2018, p.960-964

2018

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Self-learning data processing framework based on computational intelligence enhancing autonomous control by machine intelligence

2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS), 2014, p.87-94

2014

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Inferential measurements for situation awareness

2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2013, p.93-98

2013

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Designing a context-aware cyber physical system for detecting security threats in motor vehicles

Proceedings of the 8th International Conference on Security of Information and Networks, 2015, p.267-270

2015

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Can Clicker Technology and the Latest Online Response Systems Enhance Student Engagement? A Comparative Study of Two Approaches

Applied Degree Education and the Future of Work, p.287-301

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A data fusion framework for large-scale measurement platforms

2015 IEEE International Conference on Big Data (Big Data), 2015, p.2150-2158

2015

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Suggestive Therapeutic Pathways using Hyper-heuristics

IFAC Proceedings Volumes, 2012, Vol.45 (18), p.397-402

2012

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A Sensor and Machine Learning-Based Sensory Management Recommendation System for Children with Autism Spectrum Disorders

The need for and barriers to using assistive technologies among individuals with Autism Spectrum Disorders in China

An Investigation and Extension of a Hyper-heuristic Framework

Improving Understanding of EEG Measurements Using Transparent Machine Learning Models

Quantifying the Effects of Temperature and Noise on Attention-Level Using EDA and EEG Sensors

Android botnet detection: An integrated source code mining approach

Towards using transfer learning for Botnet Detection

A Machine Learning-Based Monitoring System for Attention and Stress Detection for Children with Autism Spectrum Disorders

Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance

Sino-UK Educational Differences: The Impacts of Cultures and the Current Educational Curricular on Students in Computer Science

Improving Student's Engagement Through the Use of Learning Modules, Instantaneous Feedback and Automated Marking

Distributed Choice Function Hyper-heuristics for Timetabling and Scheduling

Anomaly Monitoring Framework Based on Intelligent Data Analysis

Effect of Sensory-based Technologies on Atypical Sensory Responses of Children with Autism Spectrum Disorder: A Systematic Review

Teaching Students About Machine Learning Through a Gamified Approach

Teaching Key Machine Learning Principles Using Anti-learning Datasets

Self-learning data processing framework based on computational intelligence enhancing autonomous control by machine intelligence

Inferential measurements for situation awareness

Designing a context-aware cyber physical system for detecting security threats in motor vehicles

Can Clicker Technology and the Latest Online Response Systems Enhance Student Engagement? A Comparative Study of Two Approaches

A data fusion framework for large-scale measurement platforms

Suggestive Therapeutic Pathways using Hyper-heuristics

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