Search Results - (( course validation study algorithm ) OR ( early notification system algorithm ))*
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Early detection for server availability in University Malaya data center / Mohd Azizi Osman
Published 2016“…The objective of the system is to design the detection algorithm for server availability, to develop the detection algorithm for server availability and to test the detection algorithm form server availability. …”
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Flood detector with IoT notifications / Mohammad Fazrul Fahmi Mohammad Razali
Published 2024“…The introduction of effective early warning systems is imperative due to the substantial danger that floods pose to individuals, assets, and infrastructure. …”
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Student Project -
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Earthquake alarm detector / Nik Aqil Farihin Nik Mohd Azizee
Published 2024“…Constructing reliable early warning systems is crucial since earthquakes pose a significant threat to both infrastructure and human life. …”
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Student Project -
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Image processing-based flood detection
Published 2019“…If the water level exceeds the specific threshold, the system will generate notification as early warning for the possibility of floodi ng by uploading the text and image to the twitter regarding that condition. …”
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Conference or Workshop Item -
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Graph theory approach for managing lecturers’ schedule using graph colouring method / Siti Nor Ba Basri, Nur Su’aidah Khozaid and Farhana Hazwani Ismail
Published 2023“…Different colours are allocated to each vertex using graph colouring techniques such as the vertices algorithm or the edges algorithm, ensuring that clashing courses and lecturers are assigned different time slots. …”
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Student Project -
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IoT alarm system: detecting & preventing microsleep events
Published 2024“…The sensor data is transmitted to an onboard alarm unit that employs machine learning algorithms to analyze the metrics and detect early signs of microsleep episodes. …”
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Book Section -
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Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal
Published 2006“…The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset. Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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Using algorithmic taxonomy to evaluate lecturer workload
Published 2006“…The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset. Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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Article -
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Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal
Published 2006“…Lecturer workload at universities includes three major categories: teaching, research and services.Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design.The UPM has a KM Portal that contains sets of metadata on lecturer profile and knowledge assets.The Lecturer profile contains information lecturer teaching, research, publication and many more.We constructed an algorithmic taxonomy based at the lecturer profile data to measure lecturer teaching workload.This method measures the lecturer teaching workload.The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset.Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al]
Published 2025“…The system enhances early warning capabilities, minimises damage risks, and improves public safety in flood-prone regions. …”
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My little learner: E-learning wonderland
Published 2025“…The main goal is to overcome the shortcomings that currently exist in e-learning platforms for young learners, including inadequate motivation incentives, a lack of a dashboard that provides insight, an absence of a reminder notification system, insufficient support for a variety of learning methods, and a lack of interactive areas. …”
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Final Year Project / Dissertation / Thesis -
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My little learner : E-learning wonderland
Published 2025“…The main goal is to overcome the shortcomings that currently exist in e-learning platforms for young learners, including inadequate motivation incentives, a lack of a dashboard that provides insight, an absence of a reminder notification system, insufficient support for a variety of learning methods, and a lack of interactive areas. …”
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Final Year Project / Dissertation / Thesis -
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Internet of Things-based Home Automation with Network Mapper and MQTT Protocol
Published 2025“…A multi-level alert system ensures early threat mitigation, with alarms, SMS, notifications, and email alerts to maximize awareness. ? …”
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Impact of external forces on the quality of digital elevation model derived from drone technology
Published 2019“…To achieve the research objective, an experiment was carried out using a fixed-wing drone that was flown over a Golf course at the Universiti Putra Malaysia. The drone with an on-board camera captured photos of the study area at a predefined regular time interval. …”
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Technologization of Educational Standards and the Triple Hegemony of Cultural Inequality: Perspectives from Digital Education Internationalization
Published 2025“…By introducing the Cultural Alienation Index (CAI), the study quantifies digital cultural inequality and validates its explanatory power through cross-regional cases. …”
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Jobs Visualization and Salary Prediction System Based on Jobstreet Malaysia / Khyrina Airin Fariza Abu Samah ... [et al.]
Published 2021“…The extracted Jobstreet’s data runs the pre-processing, develops the model, and runs on real-world data. Linear Regression algorithm was used to predict the salary and tested using mean absolute error to validate the prediction. …”
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Deep learning-based recommendation system to address challenges in providing electronic services
Published 2026“…Furthermore, 10-fold cross-validation was employed to assess model generalizability, yielding accuracy scores ranging from 0.88 to 0.92, with Fold 4 scoring 0.89623. …”
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Proceeding Paper -
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Cryptanalysis on the modulus N=p2q and design of rabin-like cryptosystem without decryption failure
Published 2015“…Moreover, for the purpose of empirical evidences, some parameters are chosen in the course of the process to validate the efficiency in terms of algorithmic running time and memory consumptions. …”
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Thesis -
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…In Chapter 3, we propose a new online system to detect malicious spam emails and to adapt to the changes of malicious URLs in the body of spam emails by updating the system daily. …”
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