Search Results - (( based segmentation sensor algorithm ) OR ( java application optimized algorithm ))
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Finding objects with segmentation strategy based multi robot exploration in unknown environment
Published 2013“…For constructing map robot can use on built range finder sensor or using vision based systems. Also the algorithm using segmentation strategy is using frontier base algorithm for exploring divided area. …”
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Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions
Published 2025“…Cluster Heads (CHs), selected through a range of metrics, are responsible for data aggregation and transmission to the Base Station (BS). Many clustered routing algorithms have been developed to address various issues like energy efficiency, network lifetime, and hotspot problems. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…In the preprocessing stage, the On-Line Noise Filtering Algorithm for Trajectory Segmentation Based on Minimum Description Length concept (ONF_TRS) is proposed to achieve trajectory segmentation and remove noise points in real time with low computational cost. …”
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Thesis -
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Mobile data gathering algorithms for wireless sensor networks
Published 2014“…These mobile elements will go to each transmission range of each respective sensor to upload its data. In this research, a Mobile Data Gathering based Network Layout (MDG-NL) algorithm is proposed. …”
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Partitioning Detection and Connectivity Restoration Algorithm for Wireless Sensor Actor Networks
Published 2010“…We present PCR, a hybrid novel distributed partitioning detection and connectivity restoration algorithm. It proactively identifies critical actors based on local topological information and designates appropriate backup nodes to handle their failure. …”
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Model-based hybrid variational level set method applied to object detection in grey scale images
Published 2024“…To tackle the persistent challenge of segmenting grayscale images with both uneven characteristics and high noise levels, a hybrid level-set algorithm based on kernel metrics is introduced. …”
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Thesis -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Multi-Hop Selective Constructive Interference Flooding Protocol For Wireless Sensor Networks
Published 2019“…MSCIF integrates three main algorithms: clustering algorithm, selection algorithm, and a synchronized flooding. …”
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Thesis -
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An enhanced distance vector-hop algorithm using new weighted location method for wireless sensor networks
Published 2020“…Location is an indispensable segment for Wireless Sensor Network (WSN), since when events happened, we need to know location. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Volunteer-instigated Connectivity Restoration algorithm for Wireless Sensor and Actor Networks
Published 2010“…Failure of an actor may partition the inter-actor network into disjoint segments, and may thus hinder inter-actor coordination. …”
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Conference or Workshop Item -
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Stereo vision based robotic bin picking system for agile manufacturing
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Working Paper -
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Quantifying forest disturbance using LiDAR data and time series Landsat images / Syaza Rozali
Published 2021“…Two fusion data are tested; 1) SpectralLandsat and 2) SpectralLandsat + HeightALS by Random Forest and Support Vector Machine classification algorithm. The result shows second fusion data having 1 meter Landsat resolution and Airborne LiDAR performed better classification using object-based segmentation and Random Forest classification, about 96% of the overall accuracy with 0.91 kappa index of aggreement. …”
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Thesis -
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