Dynamic properties of structures integrated with tuned liquid sloshing dampers analyses by Gospel, Jessica Vania

“…Log decrement cycle counting emerges as a method for estimating damping ratios in vibrating systems, particularly useful for damped sinusoidal signals. …”
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Effects of cultural diversity on learning styles and performance development methods : a study of business professionals in Singapore. by Nur Syahirah Basheer., Nurashikin Asan., Poh, Ai Ni.

“…The main objectives of this research are to identify the nature of effects existing: (a) among sub-cultural groups and managers’ learning styles; (b) among sub-cultural groups and their performance development methods; (c) in the nature of the relationship between learning styles and performance development methods. …”
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A soft actor-critic deep reinforcement learning method for multi-timescale coordinated operation of microgrids by Hu, Chunchao, Cai, Zexiang, Zhang, Yanxu, Yan, Rudai, Cai, Yu, Cen, Bowei

“…This paper develops a multi-timescale coordinated operation method for microgrids based on modern deep reinforcement learning. …”
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Empirical and biophysical estimations of human cochlea’s psychophysical tuning curve sharpness by Chan, Wei Xuan, Kim, Namkeun, Yoon, Yong-Jin

“…We simulated the biophysical human cochlea’s tuning curve based on physiological measurements of human cochlea and compared the human frequency tuning sharpness with results from empirical methods as well as experimental data of other mammalian cochleae. …”
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The characteristics and improvement paths of think tank construction and exchange between China and ASEAN by Zhang, Wei, Teh, Benny Cheng Guan

“…This paper adopts a qualitative analytical research method and summarizes the cooperation and exchange mode of the think tanks of China and ASEAN by examining the ranking of the think tanks of China and ASEAN and the exchange results between them. …”
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Development of an educational method to rethink and learn oncological brain surgery in an “a la carte” connectome-based perspective by Valdes, Pablo A., Ng, Sam, Bernstock, Joshua D., Duffau, Hugues

“…The aim of this didactic method is to provide the neurosurgical oncology community with an accessible and ready-to-use educational tool, enabling neurosurgeons to improve their knowledge of WMTs and to better learn their oncologic cases, especially in glioma surgery using awake mapping. …”
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Hybrid machine learning method to determine the optimal operating process window in aerosol jet 3D printing by Zhang, Haining, Moon, Seung Ki, Ngo, Teck Hui

“…The proposed method consists of classic machine learning methods, including experimental sampling, data clustering, classification, and knowledge transfer. …”
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OSPC: Multimodal Harmful Content Detection using Fine-tuned Language Models by Cai, Bill

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Architecture-independent reactivity tuning of Ni/Al multilayers by solid solution alloying by Danzi, S, Schnabel, V, Zhao, X, Käch, J, Spolenak, R

“…Here, we propose a method for the adjustment of reaction kinetics in Ni/Al multilayers via solid solution alloying with elements having different reactivities toward aluminum. …”
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A hierarchical self-adaptive data-analytics method for real-time power system short-term voltage stability assessment by Zhang, Yuchen, Xu, Yan, Dong, Zhao Yang, Zhang, Rui

“…Based on a strategically designed ensemble-based randomized learning model, the STVS assessment is achieved sequentially and self-adaptively. …”
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PCN: a deep learning approach to jet tagging utilizing novel graph construction methods and Chebyshev graph convolutions by Semlani, Yash, Relan, Mihir, Ramesh, Krithik

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An integrated intelligent system for breast cancer detection at early stages using IR images and machine learning methods with explainability by Aidossov, Nurduman, Zarikas, Vasilios, Zhao, Yong, Mashekova, Aigerim, Ng, Eddie Yin Kwee, Mukhmetov, Olzhas, Mirasbekov, Yerken, Omirbayev, Aldiyar

“…We demonstrate the juxtaposition of transfer learning models such as ResNet50 with the proposed combination of BNs with artificial neural network methods such as CNNs which provides a state-of-the-art expert system with explainability. …”
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Comparing the effectiveness of online and face-to-face teaching and learning methods in an engineering course during and after the COVID-19 pandemic by Diana Che Lat, Doris Asmani Mat Yusof, Nurul Ainain Mohd Salim, Roslizayati Razali

“…A comparison of teaching and learning assessment methods during and after COVID-19 semesters is described in this study. …”
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Positive innovative thinking based on the integration of spiritual knowledge through the subjects of design and technology by Zaipah, Ismail, Aede Hatib, Musta’amal @ Jamal, Nornazira, Suhairom, Rohana, Hamzah

“…However, the teaching and learning process and the existing curriculum often ignore the spiritual element, which can play an important role in forming positive innovative thinking and student morals. …”
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Interfacial control and carrier tuning of carbon nanotube/polyaniline composites for high thermoelectric performance by Li, Hui, Liu, Siqi, Li, Pengcheng, Yuan, Du, Zhou, Xin, Sun, Jiaotong, Lu, Xuehong, He, Chaobin

“…By tuning PANI/camphor sulfonic acid mole ratios, the power factor is further improved to 401 μW m−1 K−2, which is higher than that of most reported organic TE materials. …”
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Chromatin interaction neural network (ChINN) : a machine learning-based method for predicting chromatin interactions from DNA sequences by Cao, Fan, Zhang, Yu, Cai, Yichao, Animesh, Sambhavi, Zhang, Ying, Akincilar, Semih Can, Loh, Yan Ping, Li, Xinya, Chng, Wee Joo, Tergaonkar, Vinay, Kwoh, Chee Keong, Fullwood, Melissa Jane

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Numerical Methods for Engineers / by Chapra, Steven C., author 289854, Canale, Raymond P., author 234599

“…Each part closes with an Epilogue containing sections called "Trade-Offs", "Important Relationships and Formulas", and "Advanced Methods and Additional References". Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. …”

Evaluating Adaptive Layer Freezing through Hyperparameter Optimization for Enhanced Fine-Tuning Performance of Language Models by Figueroa, Reinaldo

“…When dealing with data scarcity, transfer learning has become the go-to method to use these models in specialized downstream tasks via fine-tuning. …”
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SGD-based optimization in modeling combustion kinetics: Case studies in tuning mechanistic and hybrid kinetic models by Ji, Weiqi, Su, Xingyu, Pang, Bin, Li, Yujuan, Ren, Zhuyin, Deng, Sili

“…Meanwhile, gradient-based optimizations, especially the stochastic gradient descent (SGD) methods, have shown success in developing complex models by training large-scale deep learning models. …”
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Adaptive Instructional Systems : Adaptation Strategies and Methods : Third International Conference, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Vir... by AIS (Conference : 2019- ) (3rd : 2021 :) Online, organiser 642976, Sottilare, Robert, editor 642977, Schwarz, Jessica, editor 642978, International Conference on Human-Computer Interaction (23rd : 2021 : Online), organiser 642922