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Key schedule algorithm based on coordinate geometry of a three-dimensional hybrid cube
Published 2019“…Triangular Coordinate Extraction (TCE) technique has also been introduced to extract the coordinates during the rotation of Hybrid Cube surface (HCs) and plays an important role in the development of KSAHC algorithm. The Hybrid Cube Encryption Algorithm (HiSea) has been implemented to validate the encryption keys that are generated from the proposed algorithm. …”
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Methodology to develop heuristic for re-entrant flow shop with two potential dominant machines using bottleneck approach
Published 2012“…Two generalised makespan algorithms using bottleneck approach were developed for the identified bottleneck. …”
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Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences
Published 2024journal::journal article -
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A real time road marking detection system on large variability road images database
Published 2017“…We demonstrate the usefulness of the constructed algorithm by performing experiments on our Large Variability Road Images database (LVRI) that consists of 22,500 road images with the accuracy of 96.53%.…”
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A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree
Published 2008“…A binary tree method for non-slicing tree construction process is utilized for the placement and area optimization of macro-cell layout in very large scaled integrated (VLSI) design. …”
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Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…Multi-bases number representation is used to construct new versions of Miller’s algorithm. These algorithms are formulated for computing Tate and ate pairing. …”
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A filtering algorithm for efficient retrieving of DNA sequence
Published 2009“…An automaton-based algorithm is used to develop the filtering process proposed. …”
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Makespan algorithms and heuristic for internet-based collaborative manufacturing process using bottleneck approach
Published 2010“…It was shown that using bottleneck-based analysis, effective makespan algorithms and constructive heuristic can be developed to solve for near-optimal scheduling sequence. …”
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Moderating effects of government support on the relationship between organizational innovativeness, culture and sustainable construction among Malaysian contractors
Published 2016“…Specifically, the results indicated that the extent of sustainable construction among Malaysian large contractors is high (mean score: 3.95). …”
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An analysis of the parameter modifications in varieties of harmony search algorithm
Published 2014“…A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in solving diversified and large scale optimization problems. …”
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A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree
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Genetic algorithms for VLSI micro-Cell layout area optimization based on binary tree
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Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
Published 2010“…This thesis focuses on the development of a new stream of crossover within genetic algorithms, called Optimised Crossover Genetic Algorithm (OCGA) for solving combinatorial optimisation problems, which takes into account the objective function in finding the best ofspring solution among an exponentially large number of potential ofspring. …”
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An analysis of the parameter modifications in varieties of harmony search algorithm
Published 2014“…A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in solving diversified and large scale optimization problems. …”
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Algorithmic fairness in AI-driven project management for post-conflict and developing regions: a critical review and framework for context-aware AI
Published 2026“…However, deploying AI uncritically in the data-poor and socially fragile environments of post-conflict and developing regions creates profound ethical risks. Standard technical solutions for algorithmic fairness, which require large, clean datasets, are fundamentally misaligned with these realities. …”
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Automated update of crowdsourced data in participatory sensing: An application for crowdsourced price information
Published 2023“…In this paper, the construction of an algorithm that automatically updates crowdsourced data based on the rate of incoming data is presented. …”
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Review of deep convolution neural network in image classification
Published 2017“…The convolution neural network model trained by the deep learning algorithm has made remarkable achievements in many large-scale identification tasks in the field of computer vision since its introduction. …”
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Hardware development of autonomous mobile robot based on actuating lidar
Published 2022“…As opposed to a point cloud generated from high-end LiDAR sensors where many algorithms have been developed for object detection, sparse LiDAR point clouds still possess large room for improvement. …”
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Development of Hybrid Intelligent Systems for Boiler Fault Detection and Diagnosis
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