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Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques
Published 2022“…This algorithm was applied in the Python using Google Colab to make prediction of the sudden cardiac arrest. …”
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Undergraduates Project Papers -
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Real-time and predictive analytics of air quality with IoT system: A review
Published 2020“…(iv) Data analytics for Air Pollution Index (API) prediction along with IoT, with various communication protocols can as-sist in the development of real-time, and continuous high precision environmen-tal monitoring systems. v) Machine Learning (ML) Regression algorithm is suit-able for prediction and classification of concentration gas pollutant, while ANN and SVM algorithm is used for forecasting.…”
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Diagnosis of breast cancer using case-based reasoning
Published 2012“…The objective for this thesis is to develop an intelligent decision support application for diagnosis of breast cancer using Case-Based Reasoning (CBR) algorithm for predict the class of cancer for patients. …”
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Undergraduates Project Papers -
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Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA)
Published 2025“…This article reviews the emergence of research development on CIA and the potential to revolutionize the aquaculture industry. …”
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Review and analysis of risk factor of maternal health in remote area using the Internet of Things (IoT)
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Conference or Workshop Item -
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Intelligent decision support systems: transforming smart cities management
Published 2024“…When used with machines learning (ML) algorithms and predictive analytics, the framework increases the efficiency of urban management operations. …”
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Proceeding Paper -
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Integrated Solar-IoT monitoring and predictive maintenance systems for irrigation (S-IoTP) / Hasyiya Karimah Adli ... [et al.]
Published 2021“…With IoT software, real-time data of the solar power output was monitored. The predictive analysis for forecasting solar power output based on modelbased algorithm using Python to ensure sustainable power for electricity, optimise the irrigation process and water consumption. …”
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Conference or Workshop Item -
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Non-fungible token based smart manufacturing to scale Industry 4.0 by using augmented reality, deep learning and industrial Internet of Things
Published 2023“…The next phase was deploying deep learning algorithms on a dataset having data generated from IIoT devices and sensors. …”
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A development of IoT based basal body temperature (BBT) device with ovulation and pregnancy prediction system using fuzzy logic method
Published 2019“…Therefore, this research has developed a prototype named TempIoT1.0 which is a BBT device that's equipped with a smart fertility prediction using fuzzy logic intelligence computational method that can predict ovulation and pregnancy. …”
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Thesis -
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Proposed conceptual Iot-based patient monitoring sensor for predicting and controlling dengue
Published 2023“…The growing development of wearable Internet of Things (IoT), cloud computing, analytical approaches provide better alternative for dengue prediction and control. …”
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Evaluation of arima and ann stream analytics for air quality monitoring system
Published 2021“…It is identified that ARIMA has better prediction accuracy (PA) percentage of 99.45%, 99.87%, 99.75%, 98.92% for CO, NO2, O3 and PM10 over ANN thus chosen as a predictive analytics algorithm for SES. …”
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Thesis -
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Public transport delay prediction using deep learning
Published 2024“…Over the past two decades, a number of studies on prediction algorithms for transportation data have been proposed. …”
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Smart site monitoring system / Muhammad Azmi and Muhammad Naim Mahyuddin
Published 2023“…Advanced data analytics and machine learning algorithms process this data, enabling the system to detect potential safety hazards, monitor construction progress, and predict resource requirements. …”
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Conference or Workshop Item -
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway
Published 2023“…As a result, the Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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Predict The Thyroid Abnormality Particular Disease Likelihood of The Symptoms’ Certainty Factor Value and Its Confidence Level: A Regression Model Analysis
Published 2023“…For some reason, this TES probably won’t predict uncertain things, such as particular disease likelihood of some diseases. …”
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Characteristics of machining data and machine learning models - A case study
Published 2023“…One of the key technologies or preferable methods to increase the productivity is implementing prediction models or machine learning (ML) algorithms in production. …”
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Conference or Workshop Item -
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A review on machine learning in smart antenna: methods and techniques
Published 2022“…In this paper, the antenna array and antenna developed for the Internet of Things applications were highlighted. …”
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A Web-Based Wound Information and Recovery Prediction System
Published 2020“…The system also provides wound recovery prediction using machine learning algorithms. This system is aimed to provide a more effective and efficient wound care management.…”
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Final Year Project Report / IMRAD
