Search Results - (( mobile application new algorithm ) OR ( _ application ((ant algorithm) OR (cloud algorithm)) ))
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Autonomous mobile robots path planning with integrative edge cloud-based ant colony optimization
Published 2025“…To address these challenges, this study proposes an Integrative Edge Cloud-Based Ant Colony Optimization (IECACO) algorithm. …”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…The result of the algorithm performance will be appeared in web application system. …”
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Academic Exercise -
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Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
Published 2023“…Many enterprise companies migrate their services and applications to the cloud to benefit from cloud computing advantages. …”
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)
Published 2022“…Task scheduling and resource allocation are essential aspects of cloud computing. This Study proposes task scheduling in cloud computing using a hybrid genetic algorithm, and bald eagle search proposed to solve the task scheduling problem. …”
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Academic Exercise -
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A noble approach of ACO algorithm for WSN
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Proceeding Paper -
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On protecting data storage in mobile cloud computing paradigm
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Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification
Published 2023“…However, the FGCDR produced a substantial amount of redundant and insignificant features. The ant colony optimisation (ACO) algorithm have been used to select feature subset. …”
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A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution
Published 2023“…These limitations lead to the poor performance of cloud-based mobile applications and other cloud services. …”
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Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment
Published 2021“…The system uses a LiDAR-IMU tight coupling odometry method to reconstruct a point cloud map of the area surveyed. After using the RANSAC algorithm to remove the map ground, the European clustering algorithm is used for point cloud segmentation. …”
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Researches on data Cloud Computing become the necessary trend in the distributed Cloud Computing system domain since the sources and application of the data are distributed and the scale of the applications enlarges quickly. …”
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Mobile agent based multi-layer security framework for cloud data centers
Published 2015“…Objective:This paper proposes a new mobile agent based cloud security framework comprising four different security and authentication layers to establish the trust relationship between two entities before using cloud services. …”
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Smart grid: Bio-inspired algorithms energy distributions for data centers
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Final Year Project / Dissertation / Thesis -
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Exploring optimal resource allocation methods for improved efficiency in flying ad-hoc network environments: a survey
Published 2024“…The systematic literature review categorizes resource allocation strategies based on performance optimization criteria and summarizes their strengths, weaknesses, and applications. This survey highlights the potential of FANETs to revolutionize various industries and unlock new opportunities for UAV-based applications.…”
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Cloud-Mobi Framework using hybrid AHP-ACO method for Social Interaction and Travel Planning
Published 2013“…The implementation has shown that the proposed Cloud-Mobi framework is promising for travel recommendation applications. …”
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Conference or Workshop Item -
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Ant colony optimization in dynamic environments
Published 2010“…In order to achieve this objective, six ant algorithms namely Ant System (AS), Ant Colony System (ACS), Best-Worst Ant System (BWAS), Elitist Ant System (EAS), Max-Min Ant System (MMAS) and Rank-Based Ant System (RBAS) were implemented to solve a dynamic optimization problem in the form of the dynamic Traveling Salesman Problem (TSP). …”
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