Search Results - (( ((program using) OR (problem using)) deep algorithm ) OR ( java application tools algorithm ))
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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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Thesis -
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Provider independent cryptographic tools
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Monograph -
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Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat
Published 2022“…Hyper-parameter tuning has been used in all the algorithms using k-fold cross validation to have the best accuracy and to avoid the over-fitting issue. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…The key is the trigger mechanism to the algorithm. Until the advent of the Internet, encryption was rarely used by the public, but was largely a military tool. …”
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Final Year Project -
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Flock optimization algorithm-based deep learning model for diabetic disease detection improvement
Published 2024“…Then flock optimization algorithm is applied to detect the sequence; this process is used to reduce the convergence and optimization problems. …”
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Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi
Published 2022“…Therefore, this study aims to detect the existence of "in-car-abandoned children" using deep learning algorithm. A set of children images model captured and then classified into two (2) classes; children and no-children via Convolutional Neural Network (CNN) classifier. …”
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Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…This will involve the explanation of the use of evolution algorithms combined with the music programming to be able to create creative digital music.…”
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Final Year Project / Dissertation / Thesis -
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Fish pellet measurement system for food industry
Published 2025“…The core technology used in this project is computer vision and deep learning. …”
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Direct approach for mining association rules from structured XML data
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Modified strut-and-tie models for reinforced concrete deep beams with externally bonded CFRP systems
Published 2017“…Reinforced concrete (RC) deep beams can be defined as the main structural component used in buildings and bridges to transfer heavy loads. …”
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A mobile application system for parking validation based on deep learning image processing / Alias Deraman and Muhammad Izz Kamaruddin
Published 2023“…Therefore, a mobile app was designed and developed to support the authority by snapping the car plate number. A deep learning algorithm be implemented to validate car identification and extract the owner details. …”
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Book Section -
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Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications
Published 2020“…The solution provided by deep learning for a differential equation is in a closed analytical form which is differentiable and could be used in any subsequent computation. …”
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Conference or Workshop Item -
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Overhead view based person counting using deep learning
Published 2022“…However, the counting accuracy of Centroid Tracking algorithm is about 22.2% lower than the DeepSORT tracking algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…The goal of this paper is to evaluate the deep learning algorithm for people placed in the Autism Spectrum Disorder (ASD) classification. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Multiobjective deep reinforcement learning for recommendation systems
Published 2022“…Several works in DRL are available but none has addressed MO RS problems. In this study, the performances of proposed DRL approaches that based on Deep Q-Network in MO recommendation problem were investigated. …”
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Multi-objective deep reinforcement learning for recommendation systems
Published 2022“…Several works in DRL are available but none has addressed MO RS problems. In this study, the performances of proposed DRL approaches that based on Deep Q-Network in MO recommendation problem were investigated. …”
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