ERROR ANALYSIS OF INDONESIAN STUDENTS IN LEARNING TIME ASPECT "着 ZHE" AT NANCHANG UNIVERSITY IN CHINA by Elvira Septevany, Liu Dandan, Ria Rizki Marsuki

“…The purpose of this technique is to obtain relevant data in order to solve the problem of learning Mandarin, especially regarding the time aspect “着 zhe”. …”
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Learning practices of experienced healthcare teams and dyads in acute care settings: a scoping review by Jenny Rudolph, Michael Meguerdichian, Katie Walker, Tricia Yusaf, Maryam Asoodar, Kimberly Campbell-Taylor, Jeroen van Merriënboer

“…Objectives To map the evidence on learning practices currently used by experienced healthcare teams and dyads. …”
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Aquatic activity learning model the fun games-based on breast stroke swimming in bachelor students by Roma Irawan, Monica Dara Pratiwi, Syahrastani Syahrastani, Muhammad Sazeli Rifki, Ardo Okilanda

Subjects: “…aquatic learning, fun games, breaststroke swimming…”
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Multiweight Cross-Multimedia Logistics Optimal Path Exploration by Integrating High-Dimensional Deep Learning by Huiying Zhang, Jinjin Guo, Guie Sun

“…High-dimensional deep learning has been applied in all walks of life at present, among which the most representative one is the logistics path optimization combining multimedia with high-dimensional deep learning. …”
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Practical Implementation of Federated Learning for Detecting Backdoor Attacks in a Next-word Prediction Model by Jimmy K. W. Wong, Ki Ki Chung, Yuen Wing Lo, Chun Yin Lai, Steve W. Y. Mung

“…Abstract This article details the development of a next-word prediction model utilizing federated learning and introduces a mechanism for detecting backdoor attacks. …”
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Impact of OER-assisted Problem-based Learning on Creative Thinking and Self-Efficacy in Physics Education by Agung Sedayu, Herpratiwi Herpratiwi, Dwi Yulianti, I Wayan Distrik

“… In the era of unlimited information, one method of learning is through the use of open education resources (OER) whereby It can be included into learning that is problem-based learning (PBL) to optimize students’ low creative thinking. …”
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Staff development for generative artificial intelligence and collaborative learning using Iterationism as a theoretical framework by Nicholas Bowskill, David Hall, Melody Harrogate, Ebere Eziefuna, Ben Marler

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Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model by Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad

“…This paper proposes Dual Skin Segmentation (DuaSkinSeg), a deep-learning model, to address this gap by utilizing dual encoders for improved performance. …”
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On the development of diagnostic support algorithms based on CPET biosignals data via machine learning and wavelets by Rafael F. Pinheiro, Rui Fonseca-Pinto

“…Leveraging support vector machine (SVM) technology, a well-known machine learning classification method, in combination with wavelet transforms for feature extraction, the algorithm takes an innovative approach. …”
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Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…Meanwhile, teachers and parents who have a role in providing support and stimulation to children cannot use these instrument. Machine learning is a technique that uses algorithms to find useful patterns in data. …”
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Visually Impaired People Learning Virtual Textures Through Multimodal Feedback Combining Vibrotactile and Voice by Dapeng Chen, Yi Ding, Hao Wu, Qi Jia, Hong Zeng, Lina Wei, Chengcheng Hua, Jia Liu, Aiguo Song

“…However, due to impaired vision, the blind or visually impaired (BVI) is still unable to effectively perceive and learn virtual textures through these methods. To help BVIs have the opportunity to improve their object cognition by learning virtual textures, we built a virtual texture learning system based on multimodal feedback. …”
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How can LS Improve the Effectiveness of PBL-TaRL in Biology Learning with Ecosystem Material? by Bella Septiana, Misri Supadmi, Sumani, Marheny Lukitasari

“…The study consisted of three cycles that observed students' learning activities especially in the Plan, Do, and See stages. …”
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A learning‐based approach to regression analysis for climate data–A case of Northeast China by Jiaxu Guo, Yidan Xu, Liang Hu, Xianwei Wu, Gaochao Xu, Xilong Che

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Crimean-Congo haemorrhagic fever virus screening among African individuals in Spain: Lessons to learn by Helena Miriam Lorenzo Juanes, Amparo López-Bernus, Belen Vicente, Montserrat Alonso-Sardón, Beatriz Rodríguez Alonso, Josue Pendones Ulerio, Pedro Fernandez Soto, Juan Luis Muñoz Bellido, Antonio Muro, Moncef Belhassen-García

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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

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Reinforcement Learning-Based Routing Protocol to Minimize Channel Switching and Interference for Cognitive Radio Networks by Tauqeer Safdar Malik, Mohd Hilmi Hasan

“…The channel selection is performed on the basis of reinforcement learning algorithms such as No-External Regret Learning, Q-Learning, and Learning Automata. …”
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Random resistive memory-based deep extreme point learning machine for unified visual processing by Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

“…We propose a hardware-software co-designed random resistive memory-based deep extreme point learning machine. Data-wise, the multi-sensory data are unified as point set and processed universally. …”
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Advanced Machine Learning to Predict Coronary Artery Disease Severity in Patients with Premature Myocardial Infarction by Yu-Hang Wang, Chang-Ping Li, Jing-Xian Wang, Zhuang Cui, Yu Zhou, An-Ran Jing, Miao-Miao Liang, Yin Liu, Jing Gao

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Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System by V. Hemamalini, S. Rajarajeswari, S. Nachiyappan, M. Sambath, T. Devi, Bhupesh Kumar Singh, Abhishek Raghuvanshi

“…Then, fruit photos are classified using machine learning methods such as KNN, SVM, and C4.5. These algorithms determine if a fruit is damaged or not.…”
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Short-Interval Self-Learning to Improve Retention of Resuscitation Skills: A Randomized Controlled Trial

“…We evaluated the difference in CPR skills one year after a 45-minute chest compression-only CPR training among participants receiving short self-learning refresher training at 3-month intervals, those receiving this training at 6-month intervals, and those without the refresher training. …”
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