Search for dissertations about: "Shahina Begum"
Showing result 1 - 5 of 8 swedish dissertations containing the words Shahina Begum.
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1. A Case-Based Reasoning System for the Diagnosis of Individual Sensitivity to Stress in Psychophysiology
Abstract : Increased stress is a continuing problem in our present world. Especiallynegative stress could cause serious health problems if it remainsundiagnosed/misdiagnosed and untreated. In the stress medicine, clinicians’measure blood pressure, ECG, finger temperature and breathing rate during anumber of exercises to diagnose stress-related disorders. READ MORE
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2. A Personalised Case-Based Stress Diagnosis System Using Physiological Sensor Signals
Abstract : Stress is an increasing problem in our present world. It is recognised that increased exposure to stress may cause serious health problems if undiagnosed and untreated. In stress medicine, clinicians’ measure blood pressure, Electrocardiogram (ECG), finger temperature and respiration rate etc. READ MORE
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3. Intelligent Driver Mental State Monitoring System Using Physiological Sensor Signals
Abstract : Driving a vehicle involves a series of events, which are related to and evolve with the mental state (such as sleepiness, mental load, and stress) of the driv- er. These states are also identified as causal factors of critical situations that can lead to road accidents and vehicle crashes. READ MORE
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4. Multivariate Data Analytics to Identify Driver’s Sleepiness, Cognitive load, and Stress
Abstract : Driving a vehicle in a dynamic traffic environment requires continuous adaptation of a complex manifold of physiological and cognitive activities. Impaired driving due to, for example, sleepiness, inattention, cognitive load or stress, affects one’s ability to adapt, predict and react to upcoming traffic events. READ MORE
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5. Explainable Artificial Intelligence for Enhancing Transparency in Decision Support Systems
Abstract : Artificial Intelligence (AI) is recognized as advanced technology that assist in decision-making processes with high accuracy and precision. However, many AI models are generally appraised as black boxes due to their reliance on complex inference mechanisms. READ MORE