Search Results - (( generation classifications cell algorithm ) OR ( java implication based algorithm ))

Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…This paper proposed the fuzzy-ID3 (FID3) algorithm, a fuzzy decision tree as the classification method in breast cancer detection. …”
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Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System by Hormozi, Shahram Golzari

“…Another problem with the Artificial Immune Recognition System is related to the resource competition phase which generates premature memory cells and decreases the classification accuracy of system. …”
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Single-cell classification, analysis, and its application using deep learning techniques by Premkumar, R., Srinivasan, Arthi, Harini Devi, K.G., Deepika, M., Gaayathry, E., Jadhav, Pramod, Futane, Abhishek, Narayanamurthy, Vigneswaran

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HEP-2 CELL FEATURE EXTRACTION USING WAVELET AND INDEPENDENT COMPONENT ANALYSIS by NUR THANIA AWATIF BINTI MOHAMAD ROSDI, NUR THANIA AWATIF BINTI MOHAMAD ROSDI

“…Thus, this project will study on the technique to identify and classify the pattern of ANA automatically. Algorithms are created using MATLAB software and a Graphical User Interface (GUI) is generated for the algorithm to be easily used. …”
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Blood cell classification using deep learning by Liaw, Mun Kin

“…The advancement of Artificial Intelligence (AI) has introduced complex methods such as deep learning that would automate the classification of blood cells in a fast and accurate manner Thus, the study of White Blood Cells (WBCs) classification using deep learning techniques is proposed in this research. …”
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MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION by Muda, N. A.

“…The objective of this paper is to introduce a possible new technique in the Artificial Immune System (AIS) domain called a modified immune classifier (MIC) for music genre classification. MIC is the newest version of Negative Selection Algorithm (NSA) where it stresses the self and non-self cells recognition and a complementary process for generating detectors. …”
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A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani by Mahmoud Reza, Saybani

“…Resource competition part of AIRS poses another problem, here, premature memory cells are generated and therefore classification accuracy decreases. …”
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A preliminary study on in-vitro lung cancer detection using e-nose technology by Thriumani , Reena, Zakaria, Ammar, Jeffree, Amanina Iymia, Hishamuddin, NA, Omar, Mohammad Iqbl, Adom, Abdul Hamid, M. Shakaff, Ali Yeon, Kamarudin, Latifah Munirah, Yusuf, Nurlisa, Hashim, Yumi Zuhanis Has-Yun, Mohamed Helmy, Khaled

“…This study can conclude that e-nose is capable to rapidly discriminate volatile organic compounds of cancerous cells which generated during cell growth.…”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Computational analysis of biological data: Where are we? by Soreq, Lilach, Mohamed, Wael Mohamed Yousef

“…Using computational modeling, classification algorithms can be applied to microarray and RNA sequencing data (such as hierarchical clustering - HCL, t-SNE and principal component analysis - PCA), and high-resolution images can be generated based on the analyzed data and patient samples. …”
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Hand motion detection from EMG signals by using ANN based classifier for human computer interaction by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

“…EMG signal is the measurement of electrical potentials generated by muscle cells which is an indicator of muscle activity. …”
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Bacterial image analysis using multi-task deep learning approaches for clinical microscopy by Chin, Shuang Yee, Jian, Dong, Khairunnisa, Hasikin, Romano, Ngui, Lai, Khin Wee, Pauline Yeoh, Shan Qing, Xiang, Wu

“…The best DL model was then selected to perform multi-task object detections in identifying rod-shaped cells, dividing cells, and microcolonies. Results The output of the test images generated from the three proposed DL models displayed high detection accuracy, with YOLOv4 achieving the highest confidence score range of detection and being able to create different coloured bounding boxes for different growth stages of E. coli bacteria. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Microgrid multi-distributed energy resources for power management network stability / Bilal Mouneir Saeed Eid by Bilal Mouneir, Saeed Eid

“…This work examines the structure of microgrids and reviews their classifications and the literatures discussing their control objectives. …”
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Single-cell classification, analysis, and its application using deep learning techniques by Narayanamurthy, Vigneswaran, R. Premkumar, K.G. Harini Devi, Deepika M, Gaayathry E, Srinivasan, Arthi, Jadhav, Pramod, Shankar, Futane Abhishek

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