Search Results - (( framework implementation using algorithm ) OR ( automatic identification using algorithm ))
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Smart Cards And The Fingerprint : A Proposed Framework For The Automatic Teller Machine (ATM) System
Published 2002“…As a result, the research proposed a framework for user identification and authentication in automatic teller machine (ATM) systems using fingerprints and smart cards as opposed to the PIN and magnetic-stripe cards. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…To this end, computationally efficient classification algorithms such as decision tree, logistic regression and k-Nearest Neighbors were used to implement diverse, flexible and dynamic human activity detection systems. …”
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An Approach to Automatic Garbage Detection Framework Designing using CNN
“…This paper proposes a system for automatic detection of litter and garbage dumps in CCTV feeds with the help of deep learning implementations. …”
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An Approach to Automatic Garbage Detection Framework Designing using CNN
Published 2023“…This paper proposes a system for automatic detection of litter and garbage dumps in CCTV feeds with the help of deep learning implementations. …”
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An Approach to Automatic Garbage Detection Framework Designing using CNN
Published 2023“…—This paper proposes a system for automatic detection of litter and garbage dumps in CCTV feeds with the help of deep learning implementations. …”
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An Approach to Automatic Garbage Detection Framework Designing using CNN
Published 2023“…This paper proposes a system for automatic detection of litter and garbage dumps in CCTV feeds with the help of deep learning implementations. …”
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An Approach to Automatic Garbage Detection Framework Designing using CNN
Published 2023“…This paper proposes a system for automatic detection of litter and garbage dumps in CCTV feeds with the help of deep learning implementations. …”
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An Approach to Automatic Garbage Detection Framework Designing using CNN
Published 2023“…This paper proposes a system for automatic detection of litter and garbage dumps in CCTV feeds with the help of deep learning implementations. …”
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An Approach to Automatic Garbage Detection Framework Designing using CNN
Published 2023“…This paper proposes a system for automatic detection of litter and garbage dumps in CCTV feeds with the help of deep learning implementations. …”
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Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine
Published 2019“…The RX_myKarve is an extended framework from X_myKarve, which consists of the following key components: (i) an Extreme Learning Machine (ELM) neural network for clusters classification using three existing content-based features extraction (Entropy, Byte Frequency Distribution (BFD) and Rate of Change (RoC)) to improve the identification of JPEG images content and support the reassembling process; (ii) a genetic algorithm with Coherence Euclidean Distance (CED) matric and cost function to reconstruct a JPEG image from a set of deformed and fragmented clusters in the scan area. …”
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Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review
Published 2022“…Objective: This article aims to evaluate current artificial intelligence applications and discuss their performance concerning the algorithm architecture used in forensic odontology. …”
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Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke
Published 2019“…This is further worsen by the use of single sensors modality and machine learning algorithms. …”
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Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs
Published 2021“…Finally, the k-nearest neighbors ( kNN) classification technique was used for automatic gender identification of an emotional-based EEG dataset. …”
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Feature extraction using spectral centroid and mel frequency cepstral coefficient for Quranic accent automatic identification
Published 2014“…This paper presents the process of Quranic Accent Automatic Identification. Recent feature extraction technique that is used for Quranic verse rule identification/Tajweed include Mel Frequency Cepstral Coefficients (MFCC) which prone to additive noise and may reduce the classification result. …”
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A multi-color based features from facial images for automatic ethnicity identification model
Published 2019“…Finally, the proposed ethnicity identification was tested using several classification algorithms. …”
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Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification
Published 2020“…In this research, a fully automated system is presented to automatically detect the various states of the epileptic seizure. …”
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System Identification And Control Of Automatic Car Pedal Pressing System For Low-Speed Driving In A Road Traffic Delay
Published 2022“…Both controllers were then implemented and tested in automatic car pedal pressing system. The controller gains were tuned using metaheuristic algorithm which is Particle Swarm Algorithm (PSO) for optimal values of fuzzy controller parameters. …”
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Undergraduates Project Papers -
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