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Investigate And Analysis Of Deep Learning And Machine Learning Algorithm For Face Mask Detection System
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Undergraduates Project Papers -
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Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…To prevent such kinds of deadly scenarios, a reliable fall detection system must be developed to help many lives. In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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Proceeding Paper -
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A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
Published 2023“…Teachers will be able to precisely forecast their students' impending grades utilizing the system's web-based application integration and machine learning algorithms. The machine learning algorithms that will be used and compared are Support Vector Machines (SVM), Random Forest (RF), K-Nearest Neighbors (KNN), Artificial Neural Network (ANN), and Linear Regression (LR). …”
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Final Year Project Report / IMRAD -
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Learning style analysis based on Felder-Silverman Index Model using Rule Base algorithm
Published 2024“…To overcome this concern, the Learning Style Analysis System (SAGP) was developed to identify and provide recommendations based on individual learning styles. …”
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Diagnosis of breast cancer using case-based reasoning
Published 2012“…When they retired, the new staffs will be replacing their places. So they have to learn many things related to their work. …”
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Undergraduates Project Papers -
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Design and fabrication of novel Articulated Robot Arm with mobile movement
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Learning Object -
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Design and fabrication of novel Articulated Robot Arm with mobile movement
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Learning Object -
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…The objective of this research is to develop a tourist mobile application that can be incorporated with machine learning based recommender system. …”
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Article -
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Bio-signal identification using simple growing RBF-network (OLACA)
Published 2007“…These algorithms are developed primarily for applications with fast sampling rate which demands significant reduction in computation load per iteration. …”
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Conference or Workshop Item -
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Federated deep learning for automated detection of diabetic retinopathy
Published 2022“…Federated learning allows deep learning algorithms to learn from a diverse set of data stored in multiple databases. …”
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Proceeding Paper -
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Unsupervised place recognition for assistive mobile robots based on local feature descriptions.
Published 2011“…In this paper, a robust appearance-based unsupervised place clustering and recognition algorithm is introduced. …”
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Article -
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Investigating optimal smartphone placement for identifying stairs movement using machine learning
Published 2023“…The data was trained against 6 machine learning algorithms namely Decision Tree, Logistic Regression, Naive Bayes, Random Forest, Neural Networks and KNN. …”
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Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
Published 2015“…Despite the availability of conventional resources for this purpose, according to our detailed investigation, no empirical research has explored the possibilities of emerging adaptive and intelligent systems for collaborative learning to address this challenge. The goals of this research are: (a) to determine the applicability of learner corpus research through automated pattern extraction from available Qur'anic corpora (b) to investigate declarative memory modeling approaches in order to develop a quantitative algorithm to maximize learning and (c) to explore the possibilities of utilizing existing social networks to enhance learner motivation.…”
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Monograph -
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An annotated image dataset of urban insects for the development of computer vision and deep learning models with detection tasks
Published 2025“…A large image dataset with the aim of developing an insect recognition algorithm like YOLO. …”
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Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid
Published 2023“…This algorithm is capable of surmounting the aforementioned drawbacks especially premature convergence, through its reward-based dynamic leader assignment and self-learning strategies. …”
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A real time deep learning based driver monitoring system
Published 2019“…Some researchers have focused on developing mobile engines based on machine learning algorithms for detecting driver drowsiness. …”
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Article -
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Mobile application: coin identification using machine learning / Dania Qistina Mohd Nazly
Published 2021“…With the rise of mobile technology and Internet access, recent developments in machine learning have designed many algorithms to solve diverse human problems. …”
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