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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The social atlas of Europe by Ballas, D, Dorling, D, Hennig, B

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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Empirical comparison of bagging-based ensemble classifiers by Suganthan, P. N., Ye, Ren

“…This paper compares empirically four bagging-based ensemble classifiers, namely the ensemble adaptive neuro-fuzzy inference system (ANFIS), the ensemble support vector machine (SVM), the ensemble extreme learning machine (ELM) and the random forest. The comparison of these four ensemble classifiers is novel because it has not been reported in the existing literature. …”
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A review of reporting quality in case-control studies of pancreatic cancer by MacCarthy, A, MacCarthy, A, Dhiman, P, Dhiman, P, Kirtley, S, Kirtley, S, Logullo, P, Logullo, P, Copsey, B, Copsey, B, Collins, G, Collins, G

“…Each study was scored by both a researcher and a statistician using a reporting adherence form based on the STROBE checklist for case-control studies. -- (1) von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. …”

Boundary-aware feature propagation for scene segmentation by Ding, Henghui, Jiang, Xudong, Liu, Ai Qun, Thalmann, Nadia Magnenat, Wang, Gang

“…The proposed BFP is capable of splitting the feature propagation into a set of semantic groups via building strong connections among the same segment region but weak connections between different segment regions. Without bells and whistles, our approach achieves new state-of-the-art segmentation performance on three challenging semantic segmentation datasets, i.e., PASCAL-Context, CamVid, and Cityscapes.…”
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Toward achieving robust low-level and high-level scene parsing by Shuai, Bing, Ding, Henghui, Liu, Ting, Wang, Gang, Jiang, Xudong

“…Extensive experimental studies justify each contribution separately. Without bells and whistles, EFCN achieves state-of-the-arts on segmentation datasets of ADE20K, Pascal Context, SUN-RGBD and Pascal VOC 2012.…”
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Real-time facial expression recognition system by Xu, Meng Yao

“…To implement the face expression recognition, histogram-of-oriented-gradient (HOG) based object detector, active shape model (ASM) and extreme learning machines (ELM) algorithms are used in this project. The real-time recognition system could locate face regions, extract facial features and recognise basic human expressions that could be considered as an important study or exploration for the future driving safety enhancement.…”
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Biosignals-based driver’s awareness/emotion monitoring for future car design by Yao, Xibing

“…The aim of this project is to design experiments to obtain and compare the test accuracy of ELM in simulated driving and real driving. As well as to test the performance of artifact removal based on ICA in simulated driving and real driving. …”
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Build a Large Language Model (From Scratch) / by Raschka, Sebastian, author 656094

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Raindrop removal from single image by Song, Rongzihan

“…For faster processing of images for surveillance, an Extreme Learning Machining(ELM) method is also used. It can classify these surveillance images into two parts: degraded images and non-degraded images. …”
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