Fatigue-related situation awareness recognition using advanced machine learning

Abstract

As time swiftly passes by, I reflect on my remarkable journey at NTU with immense gratitude. The university's dynamic campus life and the diverse community of dedicated scholars and researchers have collectively fostered an incredibly enriching and memorable experience.I would like to express my profound gratitude to my three distinguished supervisors, Prof. Lipo Wang, Prof. P.N. Suganthan, and Dr. Olga Sourina, whose invaluable guidance and unwavering support throughout my academic journey have been instrumental in my growth and development. Their expertise, dedication, and encouragement have been the driving force behind my growth.Furthermore, I am deeply grateful to my senior lab colleagues, Dr. Gao Ruobin and Dr. Cui Jian, for their continuous help and support. Their camaraderie and insights have significantly enhanced my research experience. I also wish to extend my heartfelt appreciation to all of my friends who have provided assistance, encouragement, and inspiration in various ways.In addition, I would like to express my sincerest gratitude to my family for their steadfast support, love, and belief in my abilities. Their unwavering encouragement has been the foundation of my personal growth. I am also thankful to Mdm.Yvonne Cai for her invaluable assistance in my personal life, making my journey at NTU even more enjoyable and seamless.Last but not least, I am incredibly grateful to Ms. Zhao for her companionship and unwavering support. Her presence has brightened my days and provided the strength I needed to face the challenges of my academic journey. I am immensely grateful to each and every one of you for being an integral part of my journey and for the cherished memories we've created together.