Search Results - (( java adaptation optimization algorithm ) OR ( using vector graph algorithm ))

Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

Dynamical fuzzy autocatalytic set of combustion process in circulating fluidized bed boiler using transition matrix / Hazwani Hashim by Hashim, Hazwani

“…Thus it leads to the establishment of an improvised Graph Dynamics Algorithm which is used to assist the analysis of graph dynamics of FACS in CFB. …”
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Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining by Mohd Hanafi Ahmad Hijazi, Chuntao Jiang, Frans Coenen, Yalin Zheng

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Random sampling method of large-scale graph data classification by Rashed Mustafa, Mohammad Sultan Mahmud, Mahir Shadid

“…Finally, we classified the graphs of data blocks using the SVM algorithm. In experimental evaluation, our proposed method outperformed state-of-the-art graph kernels on graph classification datasets in terms of accuracy.…”
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Exploration of COVID‑19 data in Malaysia through mapper graph by Carey Ling, Yu Fan, Piau, Phang, Liew, Siaw Hong, Vivek Jason, Jayaraj, Benchawan, Wiwatanapataphee

“…A support vector-based feature selection and a heuristic approach for fine-tuning parameters internally within the algorithm are conducted. …”
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In Silico And In Vivo Analysis Of Otu Deubiquitinases Otub1, Otub2 And Otulin Protein-protein Interactions by Zulkifli, Nur Wahida

“…Y2H bait and cDNA library prey vectors were generated using Gateway technology, first in donor vector TOPO/pDONR222 before being shuffled into destination vector pDEST32/22. …”
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Prediction of customer churn for ABC Multistate Bank using machine learning algorithms / Hui Shan Hon ... [et al.] by Hui, Shan Hon, Khai, Wah Khaw, XinYing, Chew, Wai, Peng Wong

“…In this study, six supervised machine learning methods, K-Nearest Neighbors, Support Vector Machine, Naïve Bayes, Decision Tree, Random Forest, and Extreme Gradient Boosting (XGBoost), are applied to the churn prediction model using Bank Customer Data of ABC Multistate Bank obtained from Kaggle. …”
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Collective interaction filtering with graph-based descriptors for crowd behaviour analysis by Wong, Pei Voon

“…Leave-one-out is used to measure the performance of the proposed graph-based descriptors to describe crowd behaviour. …”
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A direct proof of improved biased random walk with gastric cancer dataset by Seah, Choon Sen, Kasim, Shahreen, Md Fudzee, Mohd Farhan, Mohamad, Mohd Saberi, Saedudin, Rd Rohmat, Witarsyah, Deden, Hassan, Rohayanti, Ismail, Mohd Arfian, Atan, Rodziah

“…Weight of genes will be used as one of the parameter in the formula. While the adjacency matrix is further enhanced by Warshall's algorithm to increases the accessibility of nodes via vector. …”
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Next generation sequencing-data analysis for cellulose- and xylan-degrading enzymes from POME metagenome by Benbelgacem, Farah Fadwa, Mohd Noor Mat Isa, Abdelrahim, Muhammad Alfatih Muddathir, Afidalina Tumian, Bellag, Oualid Abdelkader, Adibah Parman, Ibrahim Ali Noorbatcha, Hamzah Mohd Salleh

“…The second step was the de novo assembly of sequences to reconstruct 2900 contigs following de Bruijn graph algorithm. Pre-assembled contigs were arranged in order, the distances between contigs were identified and oriented with SSPACE, where 2139 scaffolds have been reconstructed. 16,386 genes have been identified after gene prediction using Prodigal and putative ID assignment with Blastp vs NR protein. …”
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Extrema Points Application In Determining Iris Region Of Interest by Othman, Zuraini, Kasmin, Fauziah, Syed Ahmad, Sharifah Sakinah, Abdullah, Azizi

“…The valid ROI was found from the probabilities graph of the SVM obtained by looking at the global minimum conditions determined by a second derivative model in a graph of functions. …”
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Feature engineering techniques to classify cause of death from forensic autopsy reports / Ghulam Mujtaba by Ghulam , Mujtaba

“…Experimental results showed that the proposed techniques outperformed the traditional BoW and its variant techniques. Moreover, support vector machines and random forest algorithms outperformed the four other algorithms. …”
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NGS-data analysis for netagenome cellulose- and Xylan- degrading enzymes finding by Ibrahim Ali, Noorbatcha, Hamzah, Mohd. Salleh

“…The second step was the de novo assembly of sequences to reconstruct 2900 contigs following de bruijn graph algorithm. Pre-assembled contigs were arranged in order, the distances between contigs were identified and oriented with SSPACE, where 2139 scaffolds have been reconstructed. 16386 genes have been identified after gene prediction using Prodigal and putative ID assignment with Blastp Vs NR protein. …”
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Routing protocols performance on 6LoWPAN IoT networks by Abdul Razak, Siti Fatimah, Pei, Siang Chia, Kamis, Noor Hisham, Yogarayan, Sumendra, S. M. M Yassin, S. M. Warusia Mohamed, Abdollah, Mohd Faizal

“…The raw data gathered from the tools including Powertrace and Collect-View were then analyzed with Python code to transfer into useful information and visualize the graph. The results demonstrate that the power consumption, specifically CPU power, Listen Power, and Total Consumption Power, will increase with the incremental of motes. …”
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Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms by Nurellezia, Suleiman

“…The transformed data is then modelled using machine learning algorithms such as Naïve Bayes classifier and Support Vector Machine to predict the overall sentiment of tweets, in which the finding depicted an overall positive sentiment surrounding the issue. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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A comparative analysis of LSTM, SVM, and GSTANN models for enhancing solar power prediction by M. Helmy, Muhammad Fareezy Fahmy, Yusoff, Siti Hajar, Mansor, Hasmah, Gunawan, Teddy Surya, Chowdhury, Israth Jahan, Mohd Sapihie, Siti Nadiah

“…Solar power prediction is crucial for integrating renewable energy into the grid, but current methods often struggle with accuracy due to the limitations of machine learning algorithms. This study aims to enhance prediction accuracy by comparing the performance of Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) models using datasets from Hebei, China. …”
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Application of Fuzzy C-Means with YCbCr and DenseNet-201 for Automated Corn Leaf Disease Detection by Chyntia Jaby, Entuni

“…The image processing consists of image segmentation and image classification are commonly used to extract the infected part from the uninfected part to identify the types of the diseases. …”
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Addressing examination timetabling problem using a partial exams approach in constructive and improvement by Mandal, Ashis Kumar, Kahar, M. N. M., Kendall, Graham

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Diagnostic power of resting-state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: a systematic review by Ibrahim, Buhari, Suppiah, Subapriya, Ibrahim, Normala, Mohamad, Mazlyfarina, Abu Hassan, Hasyma, Syed Nasser, Nisha, Saripan, M. Iqbal

“…We conducted a systematic review aimed at determining the diagnostic power of rs-fMRI to identify FC abnormalities in the DMN of patients with AD or MCI compared with healthy controls (HCs) using machine learning (ML) methods. Multimodal support vector machine (SVM) algorithm was the commonest form of ML method utilized. …”
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