Search Results - adoption a difference ((estimation algorithm) OR (optimisation algorithm))
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Design Of Perturbative Hyper-Heuristics For Combinatorial Optimisation
Published 2019“…In order to explore the solution search space of a combinatorial optimisation problem, an approximation algorithm performs perturbations on the existing solutions by adopting a single or multiple perturbative Low-Level Heuristic(s) (LLHs). …”
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Thesis -
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Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation
Published 2023“…Particle swarm optimisation (PSO) is a very well-known method and has a strong background in optimisation filed to solve different non-linear, complex problems especially in creating the reservoir release policies. …”
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Hybrid genetic algorithm for uncapacitated university examination timetabling problem
Published 2015“…The main components of the genetic operators in a Genetic Algorithm (GA) will be tested and the best combination of the genetic operators will be adopted to construct a Pure Genetic Algorithm (PGA). …”
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub...
Published 2014“…This research attempts to develop a new control algorithm to regulate the blood glucose level (BGL) for Type 1 Diabetes. …”
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Monograph -
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A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems
Published 2021“…The 5th generation of cellular system is expected to incur a huge traffic rise which would necessitate the adoption of an estimation method that is efficient but at the same time practical through easy implementation. …”
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Proceeding Paper -
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…The first algorithm is a single-agent-based algorithm, named Single-agent FIR optimizer (SAFIRO). …”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
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Gravitational energy harvesting system based on multistage braking technique for multilevel elevated car parking building
Published 2020“…Thirdly, modeling of electrical and mechanical parameters for the presented system such that the system performance matching the model, this process is performed by using a parameter optimization algorithm. For this purpose, the experimental measurements of the (GEH) structure conducted under different weights and different scenarios of operations, with and without braking mechanism. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…The first algorithm is a single-agent-based algorithm, named Single-agent FIR optimizer (SAFIRO). …”
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Distribution network fault section estimation using analytical database approach
Published 2004“…This thesis describes the development or a new fault section estimation algorithm in a distribution network. …”
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Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…The estimated CVDs path model can be implemented as a disease delay strategy in clinical settings. …”
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Apply and optimize machine learning algorithms for estimating battery health
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Final Year Project / Dissertation / Thesis -
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A bit-serial sum of absolute difference accelerator for variable block size motion estimation of H.264
Published 2009“…The proposed hardware accelerator can be used in different disciplines from low bit rate to high bit rate by making a tradeoff between the degree of parallelism or using fast algorithm or a combination of both.…”
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Conference or Workshop Item -
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End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
Published 2021“…The Normalized Mean Square Error (NMSE) and the BER perfor�mances for different DVB-S2X system MODCODs are investigated and the results for these algorithms are compared with the conventional Minimum Mean Square Er�ror (MMSE) and Least Square (LS) channel estimation techniques. …”
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Thesis
