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1
Development of bacteria foraging optimization algorithm for cell formation in cellular manufacturing system considering cell load variations
Published 2013“…The BFO algorithm is used to create machine cells and part families. …”
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Article -
2
Development of cell formation algorithm and model for cellular manufacturing system
Published 2011“…The CMS relies on the principle of grouping machines into machine cells and grouping machine parts into part families that is named cell formation. …”
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Thesis -
3
BASE: a bacteria foraging algorithm for cell formation with sequence data
Published 2010“…The BFA is suggested to create machine cells and part families. The performance of the proposed algorithm is compared with that of a number of algorithms that are most commonly used and reported in the corresponding scientific literature, such as the CASE clustering algorithm for sequence data, the ACCORD bicriterion clustering algorithm and modified ART1, and using a defined performance measure known as group technology efficiency and bond efficiency. …”
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4
RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
5
Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method
Published 2016“…It is observed that in 67% of studied cases, inflation rate can strengthen cell load variation. To prevent this event a new method is proposed using the statistical process control terms (SPC) which prevent allocating each machine type more than a dynamic upper limit of average of a machine type inside a cell. …”
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6
Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani
Published 2021“…Hence, the main purpose of this study is to develop a model of classification for breast cancer cell prediction. This study implements a machine learning algorithm called Ant Colony Optimization (ACO) algorithm to develop an accurate classification model for predicting breast cancer cells. …”
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Student Project -
7
A New Cell Formation Method Considering Operation Sequences And Production Volumes
Published 2013“…The graph theory was employed to develop the algorithm. It consists of four stages that the first one shows the sequences of machines that are used by each part in a graph. …”
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8
Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems
Published 2012“…The model minimizes both inter-cell and intra-cell material handling cost. To solve the model, an algorithm based on Simulated Annealing (SA) is developed in C/C++ namely SA1. …”
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9
A Comparative Study of Some Cellular Manufacturing Techniques
Published 2000“…The techniques were used to develop cells for matrices from various sizes of parts and machines. …”
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Micro-Crack Detection Of Solar Cells Featuring Adaptive Anisotropic Diffusion Filter And Semi-Supervised Support Vector Learning
Published 2014“…The local image features such as shape representation of the binary connected components are extracted and used in the machine learning to distinguish between cracked and good solar cells.…”
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Thesis -
13
Comparative Analysis of Cervical Cell Classification Using Machine Learning Algorithms
Published 2026journal::journal article -
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Classification of Diabetes Mellitus (DM) using Machine Learning Algorithms
Published 2021“…The objective of this study is to perform DM classification using various machine learning algorithms using Weka as a tool. …”
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Final Year Project -
15
An evaluation of feature selection technique for dendrite cell algorithm
Published 2014“…Although there are many feature selection algorithms have been used in identifying appropriate features for dendrite cell signals, there are algorithms that never been investigated and limited work to compare performance among them. …”
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Conference or Workshop Item -
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Classification of acute leukemia using image processing and machine learning techniques / Hayan Tareq Abdul Wahhab
Published 2015“…Artificial Neural Network and Support Vector Machine were used to classify blast cells into either ALL or AML according to the extracted features. …”
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Machine learning for accelerating development of ion conducting membranes for fuel cell applications
Published 2025“…Fuel cells such as polymer electrolyte membrane fuel cells are playing crucial role in the transition towards sustainable energy systems. …”
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Distributed learning based energy-efficient operations in small cell networks
Published 2023“…To achieve these goals, a cell selection algorithm is proposed that overcomes the issues of conflicts and load imbalance while reducing energy consumption. …”
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Thesis -
20
Immune Multiagent System for Network Intrusion Detection using Non-linear Classification Algorithm
Published 2010“…A new non classification algorithm was developed based on the danger theory model of human immune system (HIS).The abstract model of system algorithm is inspired from HIS cell mechanism mainly, the Dendritic cell behavior and T-cell mechanisms. …”
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