A Novel Capacity Estimation Method for Lithium-Ion Batteries Based on the Adam Algorithm by Yingying Lian, Dongdong Qiao

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Method for Detecting Tiny Defects on Machined Surfaces of Mechanical Parts Based on Object Recognition by Haotian Li, Zhen Wang, Lipeng Qiu, Xichu Wei

“…In response to the high missed detection rates and low efficiency of traditional methods in detecting tiny defects on the machining surfaces of mechanical parts, this study proposes an efficient defect detection method based on deep learning. …”
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Diagnosis Anthracnose of Chili Pepper Using Convolutional Neural Networks Based Deep Learning Models by Hae-In Kim, Ju-Yeon Yoon, Ho-Jong Ju

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Integrating interactive video media in physical education: a study on critical thinking and learning motivation by Silva Ayu Trisnawati, Mochamad Ridwan, Edi Setiawan, Farruh Ahmedov

Subjects: “…Technology learning…”
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Combining realist evaluation and appreciative inquiry: A participatory, learning-focused methodology for tourism interventions by Jenny Suno Wu, Pete Barbrook-Johnson, Xavier Font, Anna Torres-Delgado

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Optimization of Business Processes in E-Commerceusing Artificial Intelligence Methods and Algorithms by E. S. Piskun, D. V. Nuansengsy, E. N. Kotsko

“…The possibilities of using artificial intelligence to personalize customer offers, predict consumer behavior and segment customers using machine learning methods are presented. The features of the application of artificial intelligence in such large companies as Amazon, Walmart, OZON and Netflix are analyzed, where it allows improving the accuracy of forecasts and automating decision-making processes. …”
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Image Inpainting and Digital Camouflage: Methods, Applications, and Perspectives for Remote Sensing by Kinga Karwowska, Damian Wierzbicki, Michal Kedzierski

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Exploring the Integration of Social-Emotional Learning in EFL Pre-Service Teacher Preparation in Morocco: A Mixed-Method Study by Mohammed Elmeski, Adil Bentahar

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Job-Embedded Learning (JEL) and Monitoring and Evaluation Levelling (MEL): An Educator’s Aftermaths to Learning and Development Intervention (LDI) by Victorina Palanas

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Shear Wave Velocity in Geoscience: Applications, Energy-Efficient Estimation Methods, and Challenges by Mitra Khalilidermani, Dariusz Knez, Mohammad Ahmad Mahmoudi Zamani

“…Despite its broad significance, no comprehensive multidisciplinary review has evaluated the latest applications, estimation methods, and challenges in V_s prediction. …”
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Combining visual and linguistic methods to cultivate and communicate river meanings with young children by Stephanie R. Januchowski‐Hartley, Ioanna Daphne Giannoulatou, Joelle Evans, Sian Howells

Subjects: “…arts‐based methods…”
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Mass medicine vs. personalized medicine: from mathematical methods to regulatory implications by Inderpal S. Randhawa, Grigori Sigalov

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Methods for identifying health status from routinely collected health data: An overview by Mei Liu, Ke Deng, Mingqi Wang, Qiao He, Jiayue Xu, Guowei Li, Kang Zou, Xin Sun, Wen Wang

“…Although machine learning methods are promising for more accurately identifying health status, they currently remain underutilized in RCD studies. …”
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Quadratic descriptors and reduction methods in a two-layered model for compound inference by Jianshen Zhu, Naveed Ahmed Azam, Shengjuan Cao, Ryota Ido, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

“…Furthermore, we introduce different methods to reduce descriptors, aiming to avoid computational complexity and overfitting issues during the learning process caused by the large number of quadratic descriptors. …”
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Enhancing Border Learning for Better Image Denoising by Xin Ge, Yu Zhu, Liping Qi, Yaoqi Hu, Jinqiu Sun, Yanning Zhang

“…However, zero padding introduces ring-like artifacts at the borders of output images, referred to as border effects, which negatively impact the network’s ability to learn effective features. In traditional methods, these border effects, associated with convolutional/deconvolutional operations, have been mitigated using patch-based techniques. …”
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Investigating the Effectiveness of Option Pricing Using Machine learning models Compared to the Black-Scholes model by Reza Mahdavi, Eslam Fakher, Hasanali Sinaei

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Enhancing Tomato Leaf Disease Detection via Optimized VGG16 and Transfer Learning Techniques by Sandy Putra Siregar, Imam Akbari, Poningsih Poningsih, Anjar Wanto, Solikhun Solikhun

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Unlocking the Secrets of Arabic Learning: Implementing the Al-Syamiyyah Al-Syafahiyah Method as an Effective Alternative in Schools and Islamic Boarding Schools by Mohammad Jailani, Zaki Abouelnasr Elbaghdadi

Subjects: “…learning method…”
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Optimal Scheduling Method for Power Generation of Cascade Reservoirs Based on RLDE Algorithm by CHEN Jia-wen, ZHU Xin, TANG Zheng-yang, SHEN Ke-yan, CHEN Xiao-lin, QIN Hui

“…[Objective] To address the shortcomings of differential evolution (DE) algorithms in cascade reservoir optimization, this study proposes an intelligent algorithm that couples reinforcement learning and differential evolution (RLDE). [Methods] The RLDE algorithm improved the standard DE algorithm through three key strategies: chaotic mapping to enhance initial solution quality, Q-learning-based adaptive parameter adjustment, and a variable step-size strategy. …”
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scFTAT: a novel cell annotation method integrating FFT and transformer by Binhua Tang, Yiyao Chen

“…Abstract Background Advancements in high-throughput sequencing and deep learning have boosted single-cell RNA studies. However, current methods for annotating single-cell data face challenges due to high data sparsity and tedious manual annotation on large-scale data. …”
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