P4CN-YOLOv5s: a passion fruit pests detection method based on lightweight-improved YOLOv5s by Zhiping Tan, Zhiping Tan, Dapeng Ye, Jiancong Wang, Wenxiang Wang

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Navigating Open Distance Learning for Academic Success: Resilience Amongst Students with Disabilities by Sharonrose Sefora, Sindile Amina Ngubane

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A case method for Sales and Operations Planning: a learning experience from Germany by Luiz Felipe Scavarda, Bernd Hellingrath, Tobias Kreuter, Antonio Márcio Tavares Thomé, Marcelo Xavier Seeling, Jan-Hendrick Fischer, Raquel Mello

“…This paper presents a case method for S&OP and the learning experience of its application at the University of Münster (Germany). …”
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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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Energy-Based Exploration for Reinforcement Learning of Underactuated Mechanical Systems by Jeroen Taets, Tom Lefebvre, Frederik Ostyn, Guillaume Crevecoeur

“…Efficient exploration poses a significant problem for two reasons: First, these systems must start each episode of learning from an equilibrium position instead of a random position, severely limiting exploration. …”
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From boredom to excitement: unleashing motivation with Kahoot in English language learning by Abdullah Noori, Asadullah Azimi

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Regular Vehicle Spatial Distribution Estimation Based on Machine Learning by Lin Liu, Bingbing Wang, Yongfu Li, Nenglong Hu

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Position Accuracy Improvement of the Inertial Navigation System using LSTM Algorithm without GNSS Signals by Mohammad Sabzevari, MasoudReza Aghabozorgi Sahaf

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Student Perceptions of Project-Based Learning When Studying ‘Information Systems’ in an ICT Engineering Program: Taking Advantage of Active Learning by Josep Petchamé, Ignasi Iriondo, Odalys Torné, Francesc Solanellas

“…This article presents a case study on the way of teaching and learning the subject ‘Information Systems’ to ICT (Information and Communication Technology) engineering students, which is based on an active learning strategy implemented through a Project-Based Learning (PjBL) method, a practice that facilitates knowledge acquisition in addition to enhancing diverse learning outcomes such as teamwork, critical thinking, and analysis, or communication skills. …”
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Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining images and deep learning by Qiushi Wang, Xixiang Deng, Pan Huang, Qiang Ma, Lianhua Zhao, Yangyang Feng, Yiying Wang, Yuan Zhao, Yan Chen, Peng Zhong, Peng He, Mingrui Ma, Peng Feng, Hualiang Xiao

“…Therefore, the application of deep learning models to segment and quantitatively predict PD-L1 expression in digital sections of Hematoxylin and eosin (H&E) stained lung squamous cell carcinoma is of great significance.MethodsWe constructed a dataset comprising H&E-stained digital sections of lung squamous cell carcinoma and used a Transformer Unet (TransUnet) deep learning network with an encoder-decoder design to segment PD-L1 negative and positive regions and quantitatively predict the tumor cell positive score (TPS).ResultsThe results showed that the dice similarity coefficient (DSC) and intersection overunion (IoU) of deep learning for PD-L1 expression segmentation of H&E-stained digital slides of lung squamous cell carcinoma were 80 and 72%, respectively, which were better than the other seven cutting-edge segmentation models. …”
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Learning-based control for tendon-driven continuum robotic arms by Nima Maghooli, Omid Mahdizadeh, Mohammad Bajelani, S. Ali A. Moosavian

“…This paper presents a centralized position control strategy using Deep Reinforcement Learning, with a particular focus on the Sim-to-Real transfer of control policies. …”
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The Effect of Laboratory-Based Blended-Project Based Learning Model on The Science Process Skills of Students by Ihsan Nurdiansah, Endang Surahman, Yanti Sofi Makiyah, Elis Kurnia

“…The problem that often arises so far in the field is how to teach teachers who still use conventional methods. This learning method has not been able to support the science learning process, which causes low science process skills in students. …”
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Game-Based Social-Emotional Learning for Youth: School-Based Qualitative Analysis of Brain Agents by Elizabeth Liverman, David Antognoli, Cordelia Elaiho, Madison McGuire, Abbey Stoltenburg, Angel Navarrete, Garrett Bates, Thomas Chelius, Constance Gundacker, Paula Lumelsky, Brandon Currie, John Meurer Sr

“…Game-based learning is a promising, engaging method for delivering SEL content. …”
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Adaptive robust control of tea-picking-manipulator’s position tracking based on dead zone compensation with modified RBF by Yu Han, Zhiyu Song, Wenyu Yi, Caixue Zhan

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The advantages of lexicon-based sentiment analysis in an age of machine learning. by A Maurits van der Veen, Erik Bleich

“…Compared to machine learning and large language model (LLM) approaches, lexicon-based methods may sacrifice some in performance, but in exchange they provide generalizability and domain independence, while crucially offering the possibility of identifying gradations in sentiment. …”
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Team knowledge sharing: A game-based learning approach by N. B. H. Phung, T. Q. Dung, N. T. Duong

“…The current research aims to assess how team cohesion and knowledge sharing attitudes relate to organisational climate and knowledge sharing (KS) intentions.Methodology and research methods. Through the use of a game-based team learning environment, this study examined the students’ attitudes and intentions regarding KS. …”
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Realization of medical image data transfer learning based on MATLAB by HUANG Xiaxuan, HUANG Tao, YUAN Shiqi, HE Ningxia, WU Wentao, LYU Jun

“…Objective To discuss how to implement the application of medical image data on transfer learning based on MATLAB.Methods Taking MIMIC-CXR for example, 500 X-ray images of positive and the same number negative pleural effusion were randomly selected as the total data set, and the MATLAB software transfer learning method based on the ResNet network model was used for multiple training, calculating the AUC value to evaluate the accuracy of the model training for pleural effusion image classification.Results The pleural effusion imaging test set and training set used in this study were evenly distributed. …”
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Object detection in motion management scenarios based on deep learning. by Baocheng Pei, Yanan Sun, Yebiao Fu, Ting Ren

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FAFIT APPLICATION: SCRATCH WEB-BASED ENGLISH LEARNING INNOVATION by Fatma Yuniarti, Fitri wulandari, Renita Sugesti

“…Validity test results from material and media experts showed a feasibility level of 92%, while positive responses from students reached 88%. Personalization of learning experiences through the FaFit application proved to increase student learning motivation by 42% compared to conventional methods.…”
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Interactive image segmentation algorithm based on adaptive kernel learning by LONG Jianwu, LI Jihao

“…To address the issue that most existing interactive image segmentation methods suffer from limited segmentation performance due to their susceptibility to noise interference and non-convex structure impacts in the original feature space, an adaptive kernel learning-based interactive image segmentation algorithm was proposed. …”
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