Search Results - (( developing function using algorithm ) OR ( learning perspective using algorithm ))
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Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures
Published 2020“…In this study we propose, implement and evaluate use of Deep learning to learn effective Network data representations from raw network traffic to develop data driven anomaly detection systems. …”
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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis
Published 2025“…Five benchmark functions are used to accelerate convergence and address the issue of local optima. …”
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Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph
Published 2023“…One of these definitions describes AI as the utilization of automated algorithms, robotics, or machines that mimic human cognitive functions, enabling them to perform tasks such as learning, identifying, analyzing, and problem-solving (Graham et al., 2020). …”
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A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients
Published 2024“…AI algorithms use huge datasets ranging from biomarkers to medical imaging in the early diagnosis of kidney dysfunction and provide timely interventions, facilities, and initiation of tailored treatment plans that improve patient outcomes and reduce healthcare costs. …”
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Computational stylometric model for oath and oath-like expressions in Quranic text
Published 2014“…Subsequently, the application-specific features are evaluated in terms of their activity towards oath detection through a series of machine learning experiments using various classifiers such as the Bayesian network. …”
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A block cipher based on genetic algorithm
Published 2016“…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
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Supervised deep learning algorithms for process fault detection and diagnosis under different temporal subsequence length of process data
Published 2025“…Deep learning algorithms were widely used among all the data-driven algorithms. …”
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Computing the autopilot control algorithm using predictive functional control for unstable model
Published 2009“…This paper discusses the computing development of a control algorithm using Predictive Functional Control (PFC) for model-based that having one or more unstable poles. …”
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A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective
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Overhead view based person counting using deep learning
Published 2022“…Third, the accurate tracking of each detected person is performed using the deep learning based tracking framework, known as DeepSORT. …”
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Final Year Project / Dissertation / Thesis -
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The effect of balanced scorecard on business performance : a mediating effect of new product development success in food and beverage industry in Malaysia
Published 2020“…The effects of new product development success on company performance was evaluated using four perspectives, which were the finance perspective, customer perspectives, internal process perspective, and learning and growth perspective. …”
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A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
Published 2021“…Crop yield predictions are carried out to estimate higher crop yield through the use of machine learning algorithms which are one of the challenging issues in the agricultural sector. …”
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Optimizing the production of valuable metabolites using a hybrid of constraint-based model and machine learning algorithms : A review
Published 2023“…This review paper summarizes research on the hybrid of constraint-based models and machine learning algorithms in optimizing valuable metabolites. …”
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Logic Programming In Radial Basis Function Neural Networks
Published 2013“…I used different types of optimization algorithms to improve the performance of the neural networks. …”
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Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah
Published 2013“…Metaheuristic algorithms have been extensively used in numerous domains especially in engineering. …”
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Algoritma pendaraban nombor perpuluhan dari perspektif pelajar Tingkatan Satu
Published 2001“…Studies based on Constructivisme focus on describing students' understanding from their own perspectives. Seven algorithms used by students in multiplying decimal numbers were identified. …”
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Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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Thesis