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EM-Psychiatry: An Ambient Intelligent System for Psychiatric Emergency
Published 2016“…A modified Viterbi, a machine-learning algorithm, is used to generate the most probable psychiatric state sequence based on such observations; then, from the most likely psychiatric state sequence, the emergency psychiatric state is predicted through the proposed algorithm. …”
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Systematic review on Artificial Intelligence (AI) enabled insurance sector
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iHOME: an ambient intelligence mobile crowd sensing smart home system
Published 2016“…The technology behind this includes Arduino-based ambient sensors, tracking based sensors, Case-Based Reasoning prediction algorithm and Pebble wearable application.…”
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A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients
Published 2024“…AI-based systems enhance decision support for clinicians, improving the management of dialysis and post-transplant care by predicting complications and providing real-time insights. …”
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Tag cloud algorithm with the inclusion of personality traits
Published 2014“…Since there is no study has tried to create an algorithm that can customize tag cloud visual properties based on personality traits. …”
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DATA ANALYTICS FOR HOSPITAL OPERATIONS
Published 2015“…This statistical software is programmed to run multiple algorithms on the massive datasets in the mean of revealing similarities of items related to sets by focusing on the algorithm based of Market-Basket method. …”
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Reckoning of facial grimacing scheme for patient agitation in critical care
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Real-Time Object Detection System for Hospital Assets Using YOLOv8
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Modelling of clinical risk groups (CRGs) classification using FAM
Published 2006“…Some of the material use in this paper is based on research proposal titlcd, "Development Of Clinical Risk Groups Based Intelligent System For Future Prediction Of Health Care Utilization And Resources" by UKM CRGs researchcrs and KUKUM AI Embedded researchers.…”
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On equivalence of FIS and ELM for interpretable rule-based knowledge representation
Published 2023Article -
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Hybrid evolutionary optimization algorithms: A case study in manufacturing industry
Published 2014“…Such complex problems of vagueness and uncertainty can be handled by the hybrid evolutionary intelligence algorithms. In this chapter, a new hybrid evolutionary optimization based methodology using a specific non-linear membership function, named as modified S-curve membership function, is proposed. …”
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Adaptive and optimized radio resource allocation algorithms for OFDMA based networks
Published 2015“…This thesis proposes a threshold based resource allocation that helps to schedule and grant resources intelligently to solve the problem alluded to above resulting in better overall system performance, enhancing the network experience for the users. …”
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Thesis -
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Stress mental health symptom assessment mobile application for young adults
Published 2023“…Moreover, users can provide more inputs based on their feelings throughout the day. One of the primary functionalities of the application is to incorporate a machine learning algorithm which is K-Nearest Neighbor (KNN) classification technique for panic attack prediction feature to enhance the emotional identification and offering users an artificial intelligence (AI) chatbot. …”
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Final Year Project / Dissertation / Thesis -
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Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System
Published 2023Article -
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Design of real time intelligent buses notification system for passengers
Published 2012“…In this dissertation, a new real time intelligent public transport movement monitoring system and station reporting based on GPS and succession of RF Radio Chips is presented. …”
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A novel high performance routing technique for cross-referencing DMFBs
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Optimized adaptive neuro-fuzzy inference system using metaheuristic algorithms: Application of shield tunnelling ground surface settlement prediction
Published 2021“…Deformation of ground during tunnelling projects is one of the complex issues that is required to be monitored carefully to avoid the unexpected damages and human losses. …”
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