From Stationary to Nonstationary UAVs: Deep-Learning-Based Method for Vehicle Speed Estimation by Muhammad Waqas Ahmed, Muhammad Adnan, Muhammad Ahmed, Davy Janssens, Geert Wets, Afzal Ahmed, Wim Ectors

“…We propose an innovative method capable of estimating traffic speed using footage from both stationary and nonstationary UAVs. …”
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Retracted: Evaluation Method of Street Green Landscape Viewing Degree Based on Machine Learning by International Transactions on Electrical Energy Systems

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Implementation of Learning Media Used by Students in Rural Areas: A Mixed-Method Study by Ojat Darojat, Ajat Sudrajat, Darsiharjo Darsiharjo, Lisa Dwi Ningtyas, Cecep Kustandi

“…This research uses mixed methods. This research involved 75 Universitas Terbuka students. …”
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Real time counting method for coal mine drill pipes based on deep learning by Fukai ZHANG, Yiran SUN, Xufeng WU, Aijun LI, Peiyang LI, Dengke WANG, Guan YUAN, Shan ZHAO, Haiyan ZHANG

“…A real-time counting method for coal mine drill pipes based on deep learning technology is proposed to address the above issues. …”
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Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

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Students’ Perceptions of the Literature Circles Method in English Learning at SMKN 1 Toraja Utara by Demma Palulun, Yizrel Nani Sallata, Linerda Tulaktondok

“…Literature Circles are a student-centered approach where learners engage in small group discussions based on selected literary texts. This method aims to promote reading comprehension, encourage communication, foster collaborative learning, and develop critical thinking in a supportive environment. …”
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Sequential image deep learning-based Wi-Fi human activity recognition method by Qizhen ZHOU, Jianchun XING, Qiliang YANG, Deshuai HAN

“…For the problems existing in most of the researches,such as weak anti-noise ability,incompatible signal size and insufficient feature extraction of deep-learning-based Wi-Fi human activity recognition,a kind of sequential image deep learning-based recognition method was proposed.Based on the idea of sequential image deep learning,a series of image frames were reconstructed from time-varied Wi-Fi signal to ensure the consistency of input size.In addition,a low-rank decomposition method was innovatively designed to separate low-rank activity information merged in noises.Finally,a deep model combining temporal stream and spatial stream was proposed to automatically capture the spatiotemporal features from length-varied image sequences.The proposed method was extensively tested in WiAR dataset and self collected dataset.The experimental results show the proposed method could achieve the accuracy of 0.94 and 0.96,which indicate its high-accuracy performance and robustness in pervasive environments.…”
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A Machine Learning-Based Method for Pig Weight Estimation and the PIGRGB-Weight Dataset by Xintong Ji, Qifeng Li, Kaijun Guo, Weihong Ma, Mingyu Li, Zhankang Xu, Simon X. Yang, Zhiyu Ren

“…Pig weight estimation using deep learning often demands significant computational resources and lacks real-time capabilities, highlighting the need for a more efficient method. …”
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Interfacial behavior prediction and regulation on inclined superhydrophobic surfaces with transfer learning-assisted method by Yibin Liu, Konghua Yang, Yuchao Luo, Jiawei Xiong, Yunhong Liang, Zhihui Zhang, Chunbao Liu

“…To address the precision and efficiency for interfacial behavior prediction, this study proposes a transfer learning-assisted (TL-assisted) method with broad applicability for predicting droplet impact and slip phenomenon on inclined SHSs with different micro/nano-structures. …”
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Pep-VGGNet: A Novel Transfer Learning Method for Pepper Leaf Disease Diagnosis by Süleyman Çetinkaya, Amira Tandirovic Gursel

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Digital-Based Recitation Method to Improve Senior High School Shiva Learning Achievement by Yusfira Yusfira, Raya Mangsi

Subjects: “…Digital-Based Recitation Method; Learning Achievement; Senior High School…”
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A New Collaborative Filtering Recommendation Method Based on Transductive SVM and Active Learning by Xibin Wang, Zhenyu Dai, Hui Li, Jianfeng Yang

“…The experimental results show the superiority of the proposed method in both effectiveness and efficiency.…”
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Interpretable deep learning method to quantify the impact of extreme temperatures on vegetation productivity in China by Dewei Xie, Zhaopei Zheng, Xin Ding, Lihong Wei, Yu Lan

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Stable federated learning method for low-altitude IoT networks based on election strategy by SHEN Lingfeng, WANG Guanghui, BAI Tianshui, ZHU Zhengyu, ZHANG Qiankun

“…An federated fearning based on proxy Raft election and weight calculation (FedREP-W) method was proposed, which combined classical Raft election and weight calculation, significantly improving the stability and efficiency of federated training. …”
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Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method by Fatma Akalın, Pınar Dervişoğlu Çavdaroğlu, Mehmet Fatih Orhan

Subjects: “…Proposed regularization method…”
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A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

“…The problem is described from a machine learning perspective. A method is proposed to enhance the efficiency of attacks on APUFs by preliminarily selecting an appropriate machine learning algorithm using PUF models. …”
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The effect of the feedback method on the obstetrics-gynecology residents’ learning in the management of early postpartum hemorrhage by Mahnaz Boroumand Rezazadeh, Tina Zeraati, Seyed Reza Mousavi, Nayereh Ghomian, Leyli Hafizi, Tayebeh Seyfizadeh, Mona Najaf Najafi, Majid Khadem-Rezaiyan

“…Background: Simulation training, a novel learning method, provides medical students with opportunities to practice managing stressful situations as if they were experiencing them in reality. …”
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Road Marking Sign Damage Detection and Classification Using Deep Learning and Fuzzy Method by William Eric Manongga, Rung-Ching Chen

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Application of the machine learning method to estimate the biomass of pacific cod in the North Kuril zone by V. V. Kulik, M. I. Goryunov

“…For this purpose, the density of fish over entire zone is restored using the data on density obtained in 2022 compared with the data of previous surveys and fishery data obtained in 2021 and earlier, converted to the same scale, with application of the machine learning method, as the random forest in the multiple imputation by chained equations procedure (MICE). …”
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Optimization method for remaining life prediction of conventional circuit breaker based on deep learning by SUN Shuguang, WEI Shuo, WANG Jingqin, SHAO Xu, SUN Liang, GAO Hui

“…In the context of smart grid, aiming at the condition monitoring of conventional circuit breakers with complex mechanical actions, an optimization method for remaining life prediction of conventional circuit breaker based on deep learning is proposed. …”
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