Search Results - (( problem sharing learning algorithm ) OR ( java application optimisation algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Improved rsync algorithm to minimize communication cost using multi-agent systems for synchronization in multi-learning management systems
Published 2017“…To meet this requirement, a new Multi LMS (MLMS) model using Sharable Content Object Reference Model (SCORM) specifications to share learning materials among different higher learning institutions (HLIs) has been presented. …”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
Published 2022“…The first proposed algorithm aims to optimize the EE by controlling the on/off status of RRH via a deep Q network (DQN) and subsequently solving a power optimization problem. …”
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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…The experimental results demonstrate that the proposed algorithm is competitive compared to the state-of-the-art semi-supervised learning algorithms in terms of accuracy. …”
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Blockchain for Healthcare Medical Records Management System with Sharing Control
Published 2021“…This paper focuses on using Blockchain technology to solve healthcare data management problems while also incorporating some essential Machine Learning features. …”
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Proceeding Paper -
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A novel navigation algorithm for collaborative multi robots
Published 2010“…The goal of multi-agent robots is to move as a cohesive team by sharing their distributed learning behaviors and navigating in autonomous reconnaissance missions. …”
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Estimating Depressive Tendencies Of Twitter User Via Social Media Data
Published 2023“…The twitter dataset can be used to test the level of depressive tendencies with three different machine learning algorithms. These three different machine learning algorithms which are Support Vector Machine, XGBoost, and Random Forest. …”
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Undergraduates Project Papers -
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A collaborative navigation algorithm for multi-agent robots in autonomous reconnaissance mission
Published 2010“…The goal of multi-agent robots is to move as a cohesive team by sharing their distributed learning behaviors and navigating in autonomous reconnaissance missions. …”
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Proceeding Paper -
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems
Published 2020“…A two-step enhanced non-dominated sorting HHMO (2SENDSHHMO) algorithm has been proposed to solve this problem. …”
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An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications
Published 2015“…Finally, the IRFNFN model and associated FDE learning algorithm were applied to the control system of the water bath temperature and the forecast of the sunspot number. …”
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…The basic design for the network is provided together with the learning rules. The architecture provides a novel method to pattern recognition and is expected to be robust to any pattern recognition problem. …”
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Exploratory study of Kohonen network for human health state classification
Published 2018“…Kohonen Network is an unsupervised learning which forms clusters from patterns that share common features and group similar patterns together. …”
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A flowchart-based multi-agent system for assisting novice programmers with problem solving activities
Published 2023“…In the early stages of learning computer programming, Computer Science (CS) minors share a misconception of what programming is. …”
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A review of handcrafted computer vision and deep learning approaches for food recognition
Published 2020“…This paper provides a review on the research conducted in food recognition based on hand-crafted based computer vision and deep learning techniques and discuss the problems as well as the future works in this area.…”
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New hybrid deep learning method to recognize human action from video
Published 2021“…Because Internet connectivity is so inexpensive, information sharing (text, audio, and video) has become more popular and faster. …”
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K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data
Published 2022“…In order to process the collected data and segment the customers, an learning algorithm is used which is known as K-Means clustering. …”
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Personalized one-shot local adaptation federated learning for mortality prediction in multi-center Intensive Care Unit
Published 2024“…Unlike traditional data-centralized ML methods, federated learning (FL) provides a novel and promising distributed learning scheme to promote ML in multiple healthcare institutions while preserving data privacy. …”
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Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi
Published 2025“…Finally, a State-Action-Reward-State-Action (SARSA) algorithm, which is a reinforcement learning approach, is proposed to solve the power allocation optimization problem. …”
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