Search Results - (( mobile evaluation search algorithm ) OR ( _ classification based algorithm ))
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…It was demonstrated from the simulation investigation that the CWT model could yield a better signal transformation amongst the preprocessing algorithms. In addition, amongst the eighteen TL models evaluated based on the CWT transformation, fourteen was f ound to be able to extract the features reasonable, i.e., VGG16, VGG19, ResNet101, ResNet101 V2, ResNet152, ResNet152 V2, Inception V3, Inception ResNet V2, Xception, MobileNetV2, DenseNet 121, DenseNet 169, NasNetMobile and NasNetLarge. …”
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Thesis -
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Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
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Effectiveness of mobile agent for query retrieval
Published 2002“…The Mobile Agent Search System (MaSS) has been developed to reduce the time for searching and retrieving information from the Internet. …”
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MOBILE DICTIONARY
Published 2005“…The output of this system will be evaluated by users who already have experienced in using existing electronic dictionaries based on MobileDic accuracy as well as its usefulness. …”
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Final Year Project -
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…This paper provides the fundamental knowledges on machine learning design and evaluation useful in the tourist mobile application with context-aware recommender system.…”
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A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots
Published 2022“…Mobile robots are increasingly being applied in a variety of sectors, including agricultural, firefighting, and search and rescue operations. …”
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Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
Published 2023Subjects:Conference paper -
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Is gravitational search algorithm's initial gravitational constant a function dependent parameter?
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Conference or Workshop Item -
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A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition
Published 2012“…As a continuation of the research towards the search for a suitable and reliable algorithm for real-time activity recognition using mobile phone, an evaluation and comparison study of the performance of seven different categories of classifier algorithms in classifying user activities were conducted. …”
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Design and development of cooperative simultaneous localization and mapping integrated with neural network for mobile robot
Published 2024“…Autonomous cooperating mobile robots is one of technological advancement in enabling autonomy in search and rescue task (SaR). …”
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Mobile data gathering algorithms for wireless sensor networks
Published 2014“…This algorithm enables shortened tour length for the respective mobile element. …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Comparing this developed algorithm with other algorithms shows its superiority in multi-objective optimization (MOO) evaluation metrics. …”
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Detection of black hole attacks in mobile ad hoc networks via HSA-CBDS method
Published 2019“…This paper proposes a solution for detecting black hole attacks on MANET by using harmony search algorithm (DBHSA), which uses harmony search algorithm (HSA) to mitigate the lateness problem caused by cooperative bait detection scheme (CBDS). …”
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Book Chapter -
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An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…The algorithm’s performance was compared with other variants of Ant-Miner and state-of-the-art rules-based classification algorithms based on classification accuracy and model complexity. …”
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