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A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato...
Published 2025“…Moreover, a new hybrid technique which is the combination of deep learning artificial neural network and finite difference method (FDL-ANN) is developed to approximate the solution of higher order VFIDEs. …”
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A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture
Published 2024“…This paper provides a focused review of recent advancements in deep learning-enabled computer vision techniques tailored specifically for greenhouse environments. …”
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Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques
Published 2024“…To address these challenges, this project proposes an innovative solution that leverages computer vision and machine learning techniques. …”
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Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems
Published 2007“…This strategy was extended with “preference estimation” technique to optimize the user preference level of negotiation outcome. …”
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Machine learning techniques for reference evapotranspiration and rice irrigation requirements prediction: a case study of Kerian irrigation scheme, Malaysia
Published 2025“…The novelty of this paper is the application of machine learning techniques as an alternative to traditional methods and software solutions for estimating ETo and irrigation demand. …”
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Utilising computer vision techniques for automated density and growth estimation in precision aquaculture systems for prawn cultivation
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Final Year Project / Dissertation / Thesis -
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RECURSIVE LEARNING ALGORITHMS ON RBF NETWORKS FOR NONLINEAR SYSTEM IDENTIFICATION
Published 2010“…The thesis also try to investigate the influence of initialization of RBF weights parameters on the overall learning performance using random method and advanced unsupervised learning, such as clustering techniques, as a comparison. …”
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Feedforward neural network for solving particular fractional differential equations
Published 2024“…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
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Opposition- based simulated kalman filters and their application in system identification
Published 2017“…The OBL is employed after the estimation process of SKF. Two versions of OBL techniques have been considered in this research, which are original OBL and Current Optimum Opposition-based Learning (COOBL). …”
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Time series prediction techniques for estimating remaining useful lifetime of cutting tool failure
Published 2014“…The results shows that the EDES has a better solution in RUL estimation compare than other techniques…”
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Development of a software for simulating active force control schemes of a two-link planar manipulator
Published 2005“…The Various Afc Schemes Are Employed In Conjunction With A Number Of Conventional And Intelligent Techniques Embedded In The Main Control Loop To Approximate The Estimated Inertia Matrix Of The Robot Arm. …”
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Single base station mobile-based location estimation technique
Published 2013“…The satellite positioning system which is named as Global Positioning System (GPS) is a sufficient and reliable technique for coordinating services.However, there are several techniques which can estimate the location of the user based on certain number of base stations (BS) which are depending on some parameters like multi-path components, reflections, diffractions, ducting, scattering ...etc. …”
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Using biometric techniques to secure online student assessment: Comparative study
Published 2011“…Many proposed solutions use different biometric techniques to identify and authenticate student continuously, they use different techniques with different measures. …”
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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Systematic review of intrusion detection system based on machine learning techniques for internet of things
Published 2023“…We highlighted the most efficient machine learning algorithms and feature selection techniques, along with strategies to address issues related to dataset imbalance in benchmarked datasets, with the goal of fostering the development of robust IDS solutions for IoT security.…”
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Development of a software for simulating active force control schemes of a two–link planar manipulator
Published 2005“…The various AFC schemes are employed in conjunction with a number of conventional and intelligent techniques embedded in the main control loop to approximate the estimated inertia matrix of the robot arm. …”
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Web-based learning courseware for autistic child: using video modelling and active learning techniques / Siti Fairuz Mohd Radzi
Published 2014“…In this project, video modelling and active learning techniques were utilized as both techniques are proven to be effective to improve Autistic child's learning skills. …”
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Malware detection through machine learning techniques
Published 2019“…We conclude that Machine Learning techniques are practical to be applied as anti-malware solutions including for Zero-day attacks.…”
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