Search Results - (( java application optimisation algorithm ) OR ( mode solution learning algorithm ))
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1
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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2
A new hybrid fuzzy ARTMAP and radial basis function neural network with online pruning strategy
Published 2023Conference Paper -
3
A Mininet emulation study for SDN fat tree data center sleep mode routing algorithms
Published 2025“…In this scenario, the implementation of sleep mode in software defined network (SDN) data centres could provide an energy aware solution. …”
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4
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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5
Smart Glove for Sign Language Translation
Published 2023“…While challenges such as expanding gesture recognition and refining translation algorithms remain, this technology offers a promising solution to break down communication barriers and enhance the quality of life for those who rely on sign language.…”
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6
Nikon Inc. / Muhammad Hasif Anuar
Published 2022“…Aside from that, there are few solutions to that problems which is equip the camera with the 3D Tracking Mode. …”
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Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms
Published 2020“…Furthermore, the efficacy of different models based on heuristic hyperparameter tuning is evaluated in which the different kernel function for Support Vector Machine, various distance metrics of k-Nearest Neighbors. The ensemble learning technique, changes of activation function in Neural Network as well as the unsupervised learning (k-means clustering algorithm and Friis Transmission Equation) was also applied to classify the multiclass classification in pallet-level. …”
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8
A Modified Particle Swarm Optimization for Efficient Maximum Power Point Tracking Under Partial Shading Condition
Published 2024“…Therefore, a modified PSO hybridized with adaptive local search (MPSO-HALS) is designed as a robust, real-time MPPT algorithm. A modified initialization scheme that leverages grid partitioning and oppositional-based learning is incorporated to produce an evenly distributed initial population across P-V curve. …”
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Effective source number enumeration approach under small snapshot numbers
Published 2024“…To solve this problem, this study proposes a signal source number estimation method based on supplementary empirical mode decomposition (SEMD). The method first uses the SEMD method to decompose the array signal, decomposing the complex signal into several Intrinsic Mode Functions (IMFs), and then extracts features through these IMFs to estimate the number of signal sources. …”
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10
Improvement of an integrated global positioning system and inertial navigation system for land navigation application
Published 2012“…The integrated GPSIINS system is able to maintain satisfactory accuracy with the maximum error less than 0.82, 0.78, and 0.83 m for position and 0.0414, 0.0273, and 0.0415 m1s for velocity in all directions during maximum GPS outages of 200 second while it requires less than 9 and 5 seconds for learning mode in position and velocity respectively.…”
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11
Machine learning‐based approach for bandwidth and frequency prediction of circular SIW antenna
Published 2025“…The interaction between the TE₁₁ cavity mode and the ring slots facilitates controlled electromagnetic field leakage, enhancing radiation performance. …”
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A neural network modal decomposition mechanism in predicting network traffic
Published 2023“…It embeds a new proposed Scalable Artificial Bee Colony (SABC) algorithm, Phase Space Reconstruction, Variational Mode Decomposition (VMD) and an integrated Extreme Learning Machine (ELM). …”
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13
Dynamic and adaptive execution models for data stream mining applications in mobile edge cloud computing systems / Muhammad Habib Ur Rehman
Published 2016“…The critical factors of complexity at application level include data size and data rate of continuously streaming data, the selection of data fusion and data preprocessing methods, the choice of learning models, learning rates and learning modes, and the adoption of data mining algorithms. …”
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14
Unified framework for spam detection and risk assessment in short message communication media / Adewole Kayode Sakariyah
Published 2018“…The performance of ten (10) machine learning algorithms were evaluated to select the best classifier for both SADM and SMDM. …”
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