Search Results - (( frames integrated learning algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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AR oriented pose matching mechanism from motion capture data
Published 2023“…This proposed algorithm is compared with other published methods in terms of frame level accuracy and learning time of dance session. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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An integrated deep learning deepfakes detection method (IDL-DDM)
Published 2024“…The proposed IDL-DDM comprises side-by-side deep learning algorithms such as Multilayer Perceptron and Convolutional Neural Network (CNN). …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Computer vision that can ‘see’ in the dark
Published 2024“…The proposed model is able to handle dark video frames with 74.95% Top-1 accuracy with fast processing speed of 93.99 ms/frame on a 4 GB RTX 3050 graphical processing unit (GPU) and 17.59 ms/frame on 16 GB Tesla T4 GPU. …”
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Mining Sequential Patterns using I-PrefixSpan
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A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model
Published 2025“…This study presents the development and evaluation of a novel hybrid machine learning algorithm that integrates the strengths of Random Forest and Gradient Boosting models to enhance the prediction of smORFs. …”
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Overhead view based person counting using deep learning
Published 2022“…Hence, the overall performance of the YOLOv4-tiny model integrated with DeepSORT algorithm outperforms the other tracking algorithms.…”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Perceptions and practices of blended learning in foreign language teaching at USIM
Published 2024journal::journal article -
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Hybrid firefly algorithm and you only look once v8 framework (FA-YOLOv8) for traffic light detection
Published 2026“…This study introduces a novel hybrid framework that integrates the Firefly Algorithm (FA) with You Only Look Once version 8 (YOLOv8), termed FA-YOLOv8, to enhance accuracy and precision in traffic light detection. …”
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Vision-Based Hand Detection and Tracking Using Fusion of Kernelized Correlation Filter and Single-Shot Detection
Published 2023“…This study explores the use of deep learning techniques for fast and robust hand detection and tracking. …”
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A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow
Published 2025“…An optical flow-based preprocessing algorithm synchronized motion features in recorded video inputs with measured vibration labels, improving measurement accuracy. …”
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Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…Therefore, by considering tracking as an optimisation problem, the proposed SwATrack algorithm searches for the optimal distribution of motion model without making prior assumptions, or prior learning of the motion model. …”
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Vision-Based Hand Detection and Tracking Using Fusion of Kernelized Correlation Filter and Single-Shot Detection
Published 2023“…This study explores the use of deep learning techniques for fast and robust hand detection and tracking. …”
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Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli
Published 2022“…Driven by these challenges, there is a need for an automated real-time method that can replace the manual analyzing process and be able to work under constraints environments. Recently, the integration of computer vision and machine learning has given solutions to improve the underwater detection system by using intelligent classifier algorithm in real-time computer vision to detect underwater animals with challenging environments. …”
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