Adaptive Broadcast Scheme with Fuzzy Logic and Reinforcement Learning Dynamic Membership Functions in Mobile Ad Hoc Networks by Akobir Ismatov, BeomKyu Suh, Jian Kim, YongBeom Park, Ki-Il Kim

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An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel by Senyue Zhang, Wenan Tan

“…According to the characteristics that the kernel function of extreme learning machine (ELM) and its performance have a strong correlation, a novel extreme learning machine based on a generalized triangle Hermitian kernel function was proposed in this paper. …”
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BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs by Youngbin Kim, Kunlun Wang, Roberta I. Lock, Trevor R. Nash, Sharon Fleischer, Bryan Z. Wang, Barry M. Fine, Gordana Vunjak-Novakovic

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Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function by Jiawei Zang, Matija Medvidović, Dominik Kiese, Domenico Di Sante, Anirvan M Sengupta, Andrew J Millis

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Optimizing the Function of Museums as a Medium for Evaluating History Learning in Supporting Students' Critical Thinking Skills by Rahmawati Rahmawati, Joko Sayono, Indah Wahyu Puji Utami, Ramli Akhmad

“… The use of museums as a medium for evaluating history learning plays a strategic role in improving the quality of the learning process while sharpening students' critical thinking skills. …”
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Terrain Referenced Navigation Using a Multilayer Radial Basis Function-Based Extreme Learning Machine by Jungshin Lee, Changky Sung, Juhyun Oh

“…In this study, a high-precision terrain regression model to fit the DEM is generated using the extreme learning machine technique based on the multilayer radial basis function. …”
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An open-source automated rodent paradigm for forelimb movement in motor control, executive functions, and learning studies by Alavie Mirfathollahi, Mohammad Taghi Ghodrati, Vahid Shalchyan, Mohammad Reza Zarrindast, Mohammad Reza Daliri

“…The system provides customizability and extensibility, rendering it a suitable and cost-effective solution for diverse experiments related to forelimb movement, executive functions, and learning studies. We explored three training strategies and assessed their effectiveness. …”
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Reference Function Based Spatiotemporal Fuzzy Logic Control Design Using Support Vector Regression Learning by Xian-Xia Zhang, Ye Jiang, Shiwei Ma, Bing Wang

“…This paper presents a reference function based 3D FLC design methodology using support vector regression (SVR) learning. …”
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Harnessing the potential of human induced pluripotent stem cells, functional assays and machine learning for neurodevelopmental disorders by Ziqin Yang, Ziqin Yang, Nicole A. Teaney, Nicole A. Teaney, Elizabeth D. Buttermore, Elizabeth D. Buttermore, Elizabeth D. Buttermore, Mustafa Sahin, Mustafa Sahin, Mustafa Sahin, Wardiya Afshar-Saber, Wardiya Afshar-Saber

“…Recent progress in machine learning (ML) algorithms also presents unprecedented opportunities to advance the NDD research process. …”
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Recognition of flight cadets brain functional magnetic resonance imaging data based on machine learning analysis by Lu Ye, Shuhao Weng, Dongfeng Yan, Shan Ma, Xi Chen

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Predicting Oncological and Functional Outcomes by Nephrectomy Type for T1 Renal Tumors Using Machine Learning Models by Dongrul Shin, Maisy Song, Jungyo Suh, Cheryn Song

“…Purpose Determining the optimal surgical approach for patients with T1 renal tumors requires balancing long-term oncological and renal functional outcomes. Using machine learning algorithms, we aimed to develop a model to predict both outcomes simultaneously, according to each radical (RN) and partial nephrectomy (PN). …”
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A hybrid machine learning framework for functional annotation of mitochondrial glutathione transport and metabolism proteins in cancers by Luke Kennedy, Jagdeep K. Sandhu, Mary-Ellen Harper, Miroslava Cuperlovic-Culf

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Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data by Ísak Valsson, Matthew T. Warren, Charlotte M. Deane, Aniket Magarkar, Garrett M. Morris, Philip C. Biggin

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Frequency Response Function-Based Finite Element Model Updating Using Extreme Learning Machine Model by Yu Zhao, Zhenrui Peng

“…A frequency response function- (FRF-) based surrogate model for finite element model updating (FEMU) is presented in this paper. …”
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MMFuncPhos: A Multi‐Modal Learning Framework for Identifying Functional Phosphorylation Sites and Their Regulatory Types by Juan Xie, Ruihan Dong, Jintao Zhu, Haoyu Lin, Shiwei Wang, Luhua Lai

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Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches by Yousuf Alkhezi, Hajar M. Alkhezi, Ahmad Shafee

“…The system is built on the latest functional autoregressive model of order one [FAR(1)]. …”
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Functionally characterizing obesity-susceptibility genes using CRISPR/Cas9, in vivo imaging and deep learning by Eugenia Mazzaferro, Endrina Mujica, Hanqing Zhang, Anastasia Emmanouilidou, Anne Jenseit, Bade Evcimen, Christoph Metzendorf, Olga Dethlefsen, Ruth JF Loos, Sara Gry Vienberg, Anders Larsson, Amin Allalou, Marcel den Hoed

“…Abstract Hundreds of loci have been robustly associated with obesity-related traits, but functional characterization of candidate genes remains a bottleneck. …”
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Cued Reactivation of Motor Learning during Sleep Leads to Overnight Changes in Functional Brain Activity and Connectivity. by James N Cousins, Wael El-Deredy, Laura M Parkes, Nora Hennies, Penelope A Lewis

“…Participants learned two serial reaction time task (SRTT) sequences associated with different auditory tones (high or low pitch). …”
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Editorial: Invertebrate brains as model systems for learning, memory, and recall: development, anatomy and function of memory systems by André Fiala, Hagar Meltzer, Hagar Meltzer, Michael Schleyer, Oriane Turrel, Annekathrin Widmann

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Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation by Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

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