A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor by Fan Hangming, Pan Junlin, Wang Yongchen, Yuan Zhe, Cheng Mengfan, Yang Qi, Liu Deming, Deng Lei

“…The method is used to design 1 × N power splitters with arbitrary power ratios, as an application example. …”
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Pembelajaran Mandiri Mahasiswa Progam Studi Pendidikan Agama Islam Melalui Reservasi Method by Isnaini Septemiarti

Subjects: “…Independent Learning; Islamic Religious Education; Reservation Method…”
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Non-invasive ML methods for diagnosis of congenital heart disease associated with pulmonary arterial hypertension by Yuyang Gao, Pengyue Ma, Jiahua Pan, Hongbo Yang, Tao Guo, Weilian Wang

“…Both the dual-threshold and Bi-LSTM (Bi-directional Long Short-Term Memory) methods demonstrate efficacy. In the feature extraction phase, the direct three-divided model integrate time-, frequency-, and energy-domain features with deep learning features. …”
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Goal-Oriented Learning in Private Music Education: Case Study on Piano, Keyboard, and Drums by Piter Sembiring, Marsel Ridky Maulana, Asep Rizwan Nurfalah, Al Muqri

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Machine Learning System for Predicting Cardiovascular Disorders in Diabetic Patients by A. Mayya, H. Solieman

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Recent advances in teaching–learning methodologies of the Ayurveda education system by Bhagyashree Jibkate, Akshay S. Pargaonkar

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On the Choice of Training Data for Machine Learning of Geostrophic Mesoscale Turbulence by F. E. Yan, J. Mak, Y. Wang

Subjects: “…machine learning…”
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A Cloud User Anomaly Detection Method Based on Mouse Behavior by XU Hong-jun, ZHANG Hong, HE Wei

“… Aiming at the problem of cloud security threat caused by illegal operation of cloud users, this paper proposes a method to detect the abnormal behavior of cloud users by analyzing the mouse operation behavior in user’s work by using deep learning technology under the premise of ensuring the privacy of cloud users. …”
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Software Reliability Prediction Based on Recurrent Neural Network and Ensemble Method by Wafa Alshehri, Salma Kammoun Jarraya, Arwa Allinjawi

“…In this paper, we adopted a deep learning method for software reliability testing in computer vision systems. …”
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Multi-camera video collaborative analysis method based on edge computing by Zhibo QI, Lei DU, Ru HUO, Fan YANG, Tao HUANG

“…In order to reduce the processing volume of multi-camera real-time video data in smart city scenarios, a video collaborative analysis method based on machine learning algorithms at the edge was proposed.Firstly, for the important objects detected by each camera, different key windows were designed to filter the region of interest (RoI) in the video, reduce the video data volume and extract its features.Then, based on the extracted data features, the same objects in the videos from different cameras were annotated, and a strategy for calculating the association degree value between cameras was designed for further reducing the video data volume.Finally, the GC-ReID algorithm based on graph convolutional network (GCN) and re-identification (ReID) was proposed, aiming at achieving the collaborative analysis of multi-camera videos.The experimental results show that proposed method can effectively reduce the system latency and improve the video compression rate while ensuring the high accuracy, compared with the existing video analysis methods.…”
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Flexible Job Shop Scheduling Based on Energy Consumption of Method Research by Yajie Li, Longlong Li, Xiaoying Yang, Bingfeng Zhao

“…This paper focuses on the solution methods for the flexible job-shop scheduling problem (FJSP) considering energy consumption. …”
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Development of New Electricity System Marginal Price Forecasting Models Using Statistical and Artificial Intelligence Methods by Mehmet Kızıldağ, Fatih Abut, Mehmet Fatih Akay

“…The framework incorporates time series methods like Multilayer Perceptron (MLP), Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), and Convolutional LSTM (ConvLSTM) to capture complex temporal patterns, alongside models such as Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), and Extreme Learning Machine (ELM) for modeling non-linear relationships. …”
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Developing Pre-Service Teachers’ Pedagogical Content Knowledge: Lessons from a Science Methods Class by Dalila Dragnić-Cindrić, Janice L. Anderson

“…One such instructional approach with proven positive science learning outcomes is project-based learning. However, little is known about future teachers’ takeaways from participation in project-based learning science methods courses and how those takeaways connect to teachers’ developing pedagogical content knowledge. …”
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Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions by Kushagra Agrawal, Polat Goktas, Navneet Kumar, Man-Fai Leung

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Research on Detection Methods for Gas Pipeline Networks Under Small-Hole Leakage Conditions by Ying Zhao, Lingxi Yang, Qingqing Duan, Zhiqiang Zhao, Zheng Wang

“…Detecting and localizing these leaks is crucial for mitigating hazards. However, existing methods often fail to effectively model the time-varying structural data of pipelines, limiting their detection capabilities. …”
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Analysis of Model Merging Methods for Continual Updating of Foundation Models in Distributed Data Settings by Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

“…We experimentally evaluate the effectiveness of these methods using the CLIP model for image classification tasks across diverse datasets. …”
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An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features by Abdurraheem Joomye, Mee Hong Ling, Muhammed Basheer Jasser, Athirah Mohd Ramly, Kok-Lim Alvin Yau

“…Therefore, it is necessary to continue proposing and investigating new methods for Android malware detection, including machine learning (ML) and deep learning (DL) based ones. …”
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SynKGen: A kernel PCA-Based oversampling method for enhanced credit card fraud detection by Fray L. Becerra-Suarez, Luciani J. Jiménez-Fernández, Estrella D. Ticona-Tapia, José Rolando Cárdenas-Gonzáles, Pepe Humberto Bustamante-Quintana

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Adaptation of intensive methods of a foreign language teaching to the conditions of a non-linguistic university by Zara Mukhamcherievna Shadzhe

Subjects: “…principles and methods of intensive learning…”
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Editorial: Innovations in teaching and learning for Health Professions Educators by Roger A. Edwards, Bobbie Ann Adair White, Ardi Findyartini

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