AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. …”
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Accumulated decoupled learning with gradient staleness mitigation for convolutional neural networks by Zhuang, Huiping, Weng, Zhenyu, Luo, Fulin, Toh, Kar-Ann, Li, Haizhou, Lin, Zhiping

“…In addition, our ADL is shown to have the fastest training speed among the compared methods. The code will be ready soon in https://github.com/ZHUANGHP/Accumulated- Decoupled-Learning.git.…”
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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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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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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

“…Besides, the assessment accuracy and the earliness are simultaneously optimized through the multiobjective programming. The proposed method has been tested on a benchmark power system, and its exceptional assessment accuracy, speed, and comprehensiveness are demonstrated by comparing with existing methods.…”
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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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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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Reinforcement learning-based method 3D motion planning for a 3D inspection task using prior viewpoint information by Chee, Yeng Sung

“…However, a proposed visibility modelling and approximation that considers the presence of an obstacle is introduced to tackle the issue of obstructed view of the target object seen from a 3D camera. The proposed method compares the distance traveled by the same camera rays with a minimum threshold in two scenarios: target object with and without an obstacle to obtain a more realistic visibility of the viewpoint. …”
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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. …”

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

Broad learning vs. deep learning by Gu, Haowei

“…In this project, the result of comparisons between Broad Learning model and Deep Learning model with Fashion MNIST and noisy MNIST dataset which illustrates the effect of Broad Learning model and whether it would be an alternative method for Deep Learning. …”
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Explainable machine learning and deep learning by Liao, Zhongtian

“…This project aims to solve this problem by focusing on methods for making machine learning models and decisions made interpretable to humans. …”
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E-learning for mobile learning platform by MacInnes, Catriona

“…From the very beginning of life, people are adapting and learning subconsciously. By studying the way people learn, methods can be created to increase learning potential and efficiency. …”
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Machine Learning Method for Forecasting Weather Needed For Crop Water Demand Estimations in Low-Resource Settings Using A Case Study in Morocco by Sheline, Carolyn, Winter, Amos

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An investigation into real-time surface crack classification and measurement for structural health monitoring using transfer learning convolutional neural networks and Otsu method by Mazleenda Mazni, Mazleenda Mazni, Husain, Abdul Rashid, Shapiai, Mohd. Ibrahim, Ibrahim, Izni Syahrizal, Devi Willieam Anggara, Devi Willieam Anggara, Zulkifli, Riyadh

“…Incorporating the Otsu method for image segmentation, our system accurately assesses individual crack sizes. …”
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