Search Results - (( developing strategy detection algorithm ) OR ( java implication based algorithm ))
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Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…The system is also able to detect copy- verbatim strategy, the most commonly strategy used by students. …”
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Using Heuristic Rules from Sentence Decomposition of Experts' Summaries to Detect Students' Summarizing Strategies
Published 2008“…We developed an algorithm based on the heuristic rules and performed some experiments to evaluate and support the technique proposed.…”
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A review of YOLO algorithm and its applications in autonomous driving object detection
Published 2025“…Firstly, the development and distinctions among the YOLO series of detection algorithms are explained, and their performance is analyzed. …”
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Pre-processing strategies for skin detection using MLP
Published 2011“…The Sum of Weights strategy also gave 1.37% more correct detection than the best combining skin feature strategy. …”
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Pairwise Test Suite Generation Based on Hybrid Artificial Bee Colony Algorithm
Published 2020“…There are many researchers that have been developed a pairwise testing strategy. Complementing to the earlier researches, this paper proposes a new pairwise test suite generation called Pairwise Hybrid Artificial Bee Colony (PhABC) strategy based on hybridize of an Artificial Bee Colony (ABC) algorithm with a Particle Swarm Optimization (PSO) algorithm. …”
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On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing
Published 2015“…Recently, in line with the upcoming field called Search based Software Engineering (SBSE), many newly strategies have been developed adopting specific optimization algorithm (e.g. …”
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Hybrid test redundancy reduction strategy based on global neighborhood algorithm and simulated annealing
Published 2018“…There are already many works in the literature exploiting the greedy computational algorithms as well as the meta-heuristic algorithms, but no single strategy can claim dominance in terms of test data reduction over their counterparts. …”
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Conference or Workshop Item -
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Sequence-based interaction testing implementation using Bees Algorithm
Published 2023“…T-way strategies is used to generate test data to detect faults due to interaction. …”
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Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm
Published 2018“…Addressing these aforementioned issues and complementing the existing sequence based strategies such as t-SEQ, Sequence Covering Array Generator and Bee Algorithm, this thesis presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA). …”
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Design And Development Of Collision Avoidance Strategy For Differential Drive Mobile Robot
Published 2018“…In this work, it is shown that both algorithms provide good collision avoidance strategy with a maximum error of only 5cm.…”
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Monograph -
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Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis
Published 2019“…Then, we hybrid the enhanced algorithm with the local search strategy to ensures the acceleration of the convergence speed to the non-dominated front. …”
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A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…This study aims to develop an algorithm for the AOI system to segment and detect surface defects, requiring low processing power and a small number of learning dataset with labelling error resistance. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023“…There were also identification of factors that influence fraud activity, review existing fraud detection models, develop the detection model and implement it using a well-known tool in the market namely Rapidminer. …”
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System setup on jetson nano for smart crowd covid monitoring system
Published 2022“…Each grid cell is in charge of detecting objects within itself. Because of its speed and accuracy, YOLO is one of the most well-known object detection algorithms. …”
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Undergraduates Project Papers -
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An enhanced binary bat and Markov clustering algorithms to improve event detection for heterogeneous news text documents
Published 2022“…This work focuses on the FS problem by automatically detecting events through a novel wrapper FS method based on Adapted Binary Bat Algorithm (ABBA) and Adapted Markov Clustering Algorithm (AMCL), termed ABBA-AMCL. …”
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