Status and challenges of UAV recognition methods based on deep learning by LI Qiqin, YANG Ming, REN Haotian, CHANG Haoliang, ZHANG Xiaoqiang, ZHU Xinyu

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Cooperative Learning for 4-H by Jessica McIntosh, Martha C. Monroe

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Cooperative Learning for 4-H by Jessica McIntosh, Martha C. Monroe

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Cooperative Learning for 4-H by Jessica McIntosh, Martha C. Monroe

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Benchmarking Methods for Pointwise Reliability by Cláudio Correia, Simão Paredes, Teresa Rocha, Jorge Henriques, Jorge Bernardino

“…This study benchmarks methods for assessing pointwise reliability, focusing on data-driven techniques based on the density principle and the local fit principle. …”
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Think Pair Share (TPS) as Method to Improve Student’s Learning Motivation and Learning Achievement by Hetika Hetika, Ida Farida, Yeni Priatna Sari

“…This research aims to find out the application of Think Pair Share (TPS) learning method in improving learning motivation and learning achievement in the subject of Introduction to Accounting I of the Accounting Study Program students of Politeknik Harapan Bersama. …”
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An efficient leukemia prediction method using machine learning and deep learning with selected features. by Mahwish Ilyas, Muhammad Ramzan, Mohamed Deriche, Khalid Mahmood, Anam Naz

“…Deep learning methods have been shown to outperform traditional methods in leukemia gene classification by utilizing specific features.…”
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An Instructional Optimization Method Based on Bidirectional Transformer and Reinforcement Learning by Ran Zhang, Xiaoping Wu, Xude Zhang, Li Xu

“…With the rapid development of information technology, personalized education has become a key direction for improving the quality of online learning and optimizing individualized learning paths. …”
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Prediction of Airline Ticket Price Using Machine Learning Method by Hüseyin Korkmaz

“…Accurate price prediction is crucial for both airlines, to maximize revenue, and customers, to secure the best deals. Traditional methods often fall short of capturing the intricate and rapidly changing patterns of airfare pricing. …”
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Strategies for improving the implementation of e-learning method in undergraduate program by Mohamad Muchlis

“…The results show that the average value of the importance of E-learning attribute is higher than the average value of E-learning attribute of performance level related to the application of the E-learning method. …”
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Bayesian Q learning method with Dyna architecture and prioritized sweeping by Jun YU, Quan LIU, Qi-ming FU, Hong-kun SUN, Gui-xing CHEN

“…In order to balance this trade-off, a probability distribution was used in Bayesian Q learning method to de-scribe the uncertainty of the Q value and choose actions with this distribution. …”
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An attack detection method based on deep learning for internet of things by Yihan Yu, Yu Fu, Taotao Liu, Kun Wang, Yishuai An

“…To address these issues, this paper proposes an attack detection method based on deep learning for IoT. Firstly, a genetic algorithm is used for feature selection; secondly, a cost-sensitive function is employed to address the scarcity of attack traffic in IoT; and finally, a combination of Convolutional Neural Networks and Long Short Term Memory Network is utilized to extract spatiotemporal information from the network. …”
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Instagram fake profile detection using an ensemble learning method by Bharti Goyal, Nasib Singh Gill, Preeti Gulia, Noha Alduaiji, Piyush Kumar Shukla, Shreyas J

“…This paper provides state-of-the-art methods for reducing the prevalence of false accounts, which will improve the efficiency and trustworthiness of identity verification systems used online. …”
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Deep learning Chinese input method with incremental vocabulary selection by Huajian REN, Xiulan HAO, Wenjing XU

“…The core task of an input method is to convert the keystroke sequences typed by users into Chinese character sequences.Input methods applying deep learning methods have advantages in learning long-range dependencies and solving data sparsity problems.However, the existing methods still have two shortcomings: the separation structure of pinyin slicing in conversion leads to error propagation, and the model is complicated to meet the demand for real-time performance of the input method.A deep-learning input method model incorporating incremental word selection methods was proposed to address these shortcomings.Various softmax optimization methods were compared.Experiments on People’s Daily data and Chinese Wikipedia data show that the model improves the conversion accuracy by 15% compared with the current state-of-the-art model, and the incremental vocabulary selection method makes the model 130 times faster without losing conversion accuracy.…”
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An Energy-Domain IR NUC Method Based on Unsupervised Learning by Ting Li, Xuefeng Lai, Sheng Liao, Yucheng Xia

“…To obtain accurate blackbody temperature, emissivity, and waveband measurements, an energy-domain infrared nonuniformity method based on unsupervised learning is proposed. …”
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Interactive online learning method for students based on artificial intelligence by Cizhang Li, Wenfen Yin

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An automatic identification method of common species based on ensemble learning by Hao-Xuan Li, Mei Zhang, De-Yao Meng, Bo Geng, Zu-Kui Li, Chuan-Feng Huang, Wen-Kang Li, Han-Lin Jiang, Rong-Hai Wu, Xiao-Wei Li, Ben-Hui Chen, Deng-Qi Yang, Guo-Peng Ren

“…While existing deep learning methods have achieved significant success in species identification, they often struggle with accurately recognizing all species due to the class imbalance prevalent in camera trap datasets, which limits the application of deep learning models in biodiversity monitoring. …”
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COOPERATIVE LEARNING AS A METHOD FOR INCRAESING GROUP COHESION IN THE CLASSROOM by Nikolina Tareva, Doncho Donev

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Evaluating the method reproducibility of deep learning models in biodiversity research by Waqas Ahmed, Vamsi Krishna Kommineni, Birgitta König-Ries, Jitendra Gaikwad, Luiz Gadelha, Sheeba Samuel

“…This study investigates the reproducibility of deep learning (DL) methods within the biodiversity research. …”
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Prediction of Atmospheric Profiles With Machine Learning Using the Signature Method by M. Fujita, N. Sugiura, S. Kouketsu

“…In this paper, the Signature method, which can quantify a profile's curve, was adopted for the atmospheric profiles, and the accuracy of profile representations was investigated. …”
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