Rhetorical criticism of Baul Lalon Shah’s songs: a perspective on humanity by Azad, Abul Kalam, Ahmad, Abdul Mua'ti @Zamri, Waheed, Moniza, Zainudin, Sharifah Sofiah Syed

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Emotional states classification from brain signals by Lee, Vinson Bing Jun.

“…Results from the experimental data have indicated that Kernel ELM is the best option as opposed to other SVM variants. …”
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China's rural migrant workers, the state, and labor politics by Chan, J, Selden, M

In-vitro compatibility evaluation of fungal mixed culture for bioconversion of domestic wastewater sludge by Molla, Abul Hossain, Fakhru'l‐Razi, Ahmadun, Abd‐Aziz, Suraini, Hanafi, Mohamed Musa, Alam, Md. Zahangir

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Low-power processors for implantable epileptic seizure detection system by Baihaqi, Muhammad Rayhan

“…Extreme Learning Machine (ELM) has gained some attentions recently, due to the fact that learning speed of ELM is really fast compared to the traditional learning algorithm. …”
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AI-assisted discovery of quantitative and formal models in social science by Balla, J, Huang, S, Dugan, O, Dangovski, R, Soljačić, M

Performance of a Modular Ton-Scale Pixel-Readout Liquid Argon Time Projection Chamber by Abed Abud, A., Abi, B., Acciarri, R., Acero, M. A., Adames, M. R., Adamov, G., Adamowski, M., Adams, D., Adinolfi, M., Adriano, C., Aduszkiewicz, A., Aguilar, J., Aimard, B., Akbar, F., Allison, K., Monsalve, S. Alonso, Alrashed, M., Alton, A., Alvarez, R., Alves, T.

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Structured sparse representations for supervised and unsupervised learning by Zeng, Yijie

“…This thesis also explores the use of unsupervised ELM (US-ELM) on top of the learned graph to learn a flexible and discriminative data embedding that is beneficial for clustering. …”
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Automatic knee segmentation from multi-contrast MR images by Zhang, Kunlei

“…The choice of the classifier can be some powerful classification models such as SVM and ELM. The advantages of the developed scheme are achieved via effective incorporation of both a useful feature set and the ELM (or SVM) classification with spatial dependencies between neighboring voxels via a DRF framework. …”
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A collaborative model in persuasive web design: multiple case study of Lazada and Shopee by Loh, Yin Xia, Choon Sen Seah, Choon Sen Seah, Muhammad Arif, Ezatul Emilia, Jalaludin, Farah Waheeda, Chin, Wai Yin, Abdul Hamid, Nor Aziati

“…This study examined online persuasion through website design by using the Elaboration Likelihood Model (ELM) and Persuasive System Design (PSD). This study investigates the phenomenon of the success of Lazada and Shopee to provide guidelines for website designers and local sellers to enhance the e-commerce website’s persuasiveness. …”
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Geometry guided supervised representation learning for classification by Li, Yue

“…The extreme learning machine auto-encoder (ELM-AE) is an extension of ELM, which is well-known for its fast training speed and strong generalization ability. …”
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Mitigation study and approach for safe drone operations in low-altitude environments by Sidharth, R Sai

“…The average accuracy and macro-averaged F1 scores for the OS-Fuzzy- ELM fault diagnosis model are 80.2% and 78.0%.…”
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Sustainable hydrogen energy in aviation - A narrative review by Yusaf, Talal F., Faisal Mahamude, Abu Shadate, Kadirgama, Kumaran, Ramasamy, Devarajan, Farhana, Kaniz, A Dhahad, Hayder Abed, Abd Rahim, Abu Talib

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Interaction Assessment of Stress Intensity Factors of Surface Cracks on Thick Cylinders under Tension Force and Bending Moment by Al-Moayed, Omar Mohammed, M.F, Johan, Ismail, Al Emran, Kareem, Ali Kamil, Jamian, Saifulnizan, Shaker, Sufian Farid, Hamad Abed, Tareq, Aldulaym, Omar Hammad

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Al2O3-Cu hybrid nanofluid flow and heat transfer characteristics in the duct with various triangular rib configurations by Togun, Hussein, Homod, Raad Z., Sultan Aljibori, Hakim S., Abed, Azher M., Alias, Hajar, Hussein, Ahmed Kadhim, Biswal, Uddhaba, Al-Thamir, Mohaimen, Mahdi, Jasim M., Mohammed, Hayder I., Ahmadi, Goodarz

Simulation and result analysis of digital signal processing related algorithms using MATLAB by Koh, Chee Meng.

“…SanGregory, Charles Brothers and David Gallagher’s approximation, Khalid H. Abed and Raymond E. Siferd’s approximation, Zhijun Li, Jianping An, Miao Tang and Jing Yang’s approximation and Tso-Bing Juang, Sheng-Hung Chen and Huang-Jia Cheng’s approximation. …”
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Investigation of fluorescence lifetime imaging for quantitative cervical cancer screening and diagnosis by Gu, Jun

“…The results suggest that the proposed fluorescence lifetime imaging of H&E stained cervical tissue sections with the quantitative neural network ELM could be used to aid and supplement the traditional histopathological examinations. …”
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Research of modeling and optimization approaches for hybrid ejector-based air conditioning cycle by Wang, Hao

“…Both simulation and experiment results indicate that the ANN trained with ELM possesses lesser deviation between actual value and predicted value than the ones with other learning algorithms. 3. …”
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TFIDF meets deep document representation : a re-visit of co-training for text classification by Chen, Zhiwei

“…Many text classification tasks face the challenge of lack of sufficient la- belled data. Co-training algorithm is a candidate solution, which learns from both labeled and unlabelled data for better classification accuracy. …”
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Emerging Trends, Techniques, and Applications in Geospatial Data Science / by Gaur, Loveleen, editor 656281, Garg, Pradeep K., editor 656282, IGI Global (Online service) 631983

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