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1
Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
Published 2023“…One application would be in WCDMA adaptive beam forming technique. Adaptive antenna has dynamic beam to cater for users' needs and provides better capacity for mobile communication but requires more intelligent and advance beam forming algorithm such as genetic algorithm. …”
Conference paper -
2
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023“…Genetic algorithms are powerful optimizing techniques that are used successfully to solve problems in many different disciplines. …”
Conference paper -
3
Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi
Published 2015“…Design and development an adaptive learning algorithm controller ALAC of position the actuators is presented in real time parallel manipulator based on artificial neural network ANN. …”
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4
WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
Published 2023“…The algorithm works by finding the minimum transmitter power with the help of Distributed Parallel Genetic Algorithm (DPGA) employed on an offload microcontroller system to form optimal beam coverage to reduce power usage of adaptive antenna at WCDMA base station. …”
Conference paper -
5
Improving parallel self-organizing map using heterogeneous uniform memory access / Muhammad Firdaus Mustapha
Published 2018“…Self-organizing Map (SOM) is a very popular algorithm that has been used as clustering algorithm and data exploration. …”
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6
Parallel computation of maass cusp forms using mathematica
Published 2013“…The latter is developed using an adapted algorithm of Hejhal and Then which is based on implicit automorphy and finite Fourier series. …”
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7
Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…Additionally, the MTS algorithm is also implemented in parallel computing to produce parallel MTS for generating comparable solutions in shorter computational times. …”
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8
Digital quadrature compensators scheme for analog imperfections of quadrature modulator in wireless communication systems
Published 2016“…Adaptive algorithms used to estimate the QM’s imperfections, operate either in online or offline mode. …”
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9
Fpga Implementation Of Metaheuristic Optimization Algorithm
Published 2022“…The selected metaheuristic was the Simulated Kalman Filter (SKF) which proposed an algorithm that was low in complexity and used a small number of steps. …”
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Undergraduates Project Papers -
10
Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm
Published 2022“…Our algorithm uses non-fitness evolutionary distributed parallelized adaptive large neighbourhood search (NEDPALNS). …”
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Final Year Project / Dissertation / Thesis -
11
FPGA implementation of metaheuristic optimization algorithm
Published 2023“…The selected metaheuristic was the Simulated Kalman Filter (SKF) which proposed an algorithm that was low in complexity and used a small number of steps. …”
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Article -
12
An Optimal Design of Moving Objects Tracking Algorithm on FPGA
Published 2012“…Designs outline dataflow between different frequency domains using pipelining and FIFOs as buffers. The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. …”
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Conference or Workshop Item -
13
An optimal design of moving objects tracking algorithm on FPGA
Published 2010“…Designs outline dataflow between different frequency domains using pipelining and FIFOs as buffers. The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. …”
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14
An optimal design of moving objects tracking algorithm on FPGA
Published 2012“…Designs outline dataflow between different frequency domains using pipelining and FIFOs as buffers. The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. …”
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15
Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…Two GA based regenerative braking strategies are proposed in this study. One uses Standard Genetic Algorithm (SGA), the second strategy uses Improved Adaptive Genetic Algorithm (IAGA). …”
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16
Parallel Implementation Of Field Visualizations With High Order Tetrahedral Finite Elements
Published 2013“…In the adaptive finite element method (AFEM), high order finite elements are usually used in the computations. …”
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17
Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design
Published 2024“…This paper presents a comprehensive study on the design optimization of a robotic gripper, focusing on both the gripper modeling and the optimization of its parallel mechanism structure. This study integrates the Black-winged Kite Algorithm (BKA), Finite Element Analysis (FEA), Backpropagation Neural Network (BPNN), and response surface optimization techniques. …”
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Article -
18
Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer
Published 2023“…The performance tests are also conducted to assess whether each algorithm can detect most of the true anomalies. The data is supplied using IoT devices, and benchmark datasets are also presented to test the algorithm's performance.…”
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19
Adaptive genetic algorithm to improve negotiation process by agents e-commerce
Published 2011“…The proposed adaptive negotiation model is named Aspirated Genetic Algorithm (AGA) negotiation model which is a hybrid negotiation system composed of different negotiation strategies, Aspiration concept,genetic algorithm and Bayesian learning. …”
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20
OPTIMIZED ARCHITECTURE DESIGN AND IMPLEMENTATION OF OBJECT TRACKING ALGORITHM ON FPGA
Published 2013“…This research work aims at optimizing the device utilization under real time constraints. The Adaptive Hybrid Difference algorithm (AHD), which is used to detect the moving objects, was chosen to be implemented on FPGA due to its computation ability and efficiency with regard to hardware implementation. …”
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