Search Results - (( developing building cloud algorithm ) OR ( java application learning algorithm ))
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Thesis -
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Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing
Published 2015“…Proposed cloud brokering algorithms works with different types of cloud provider and deal with various user requirements. …”
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Iot health monitoring system for self quarantined covid-19 patients
Published 2022“…At first place Arduino Uno is used as the developer board. Some sensors are also used to complete this prototype such as LM35 temperature sensor which has a more accurate reading than thermistor, ESP8266 Wi-Fi module to transfer data to cloud and save it on cloud, ADXL345 accelerometer, MAX30102 pulse oximeter to count the heart beat rate and oxygen saturation in blood and U-Blox Neo-6m for location tracking. …”
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Undergraduates Project Papers -
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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques
Published 2021“…Finally, the Buildings Footprint developed based on the algorithm was compared with the Buildings Footprint developed manually to assess the accuracy of the results. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Cloud Computing in Smart Cities: Privacy, Ethical and Social Issues
Published 2024“…The rapid development of cloud computing technologies has revolutionized various sectors, and smart cities are no exception. …”
Conference Paper -
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A fast knowledge-based plane reconstruction method from noisy 3D point cloud data
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Working Paper -
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Energy consumption prediction by using machine learning for smart building: Case study in Malaysia
Published 2021“…Thus, this research aims to address the problems by developing a predictive model for energy consumption in Microsoft Azure cloud-based machine learning platform. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Treemap algorithm for dynamic stormwater infiltration movement into soil surface
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Human presence detection system
Published 2024“…Rigorous testing and experimentation were conducted to establish the most effective delay interval, ensuring reliable detection while minimizing false alarms. Additionally, the development of an automated calculation algorithm streamlines the testing process and enhances data collection efficiency. …”
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Final Year Project / Dissertation / Thesis
