Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration by Gudi V. Chandra Sekhar, Chekol Alemu

“…Complete analysis pipeline with 2-step reproduction process and synthetic datasets are publicly available for independent validation and collaborative research extension. …”
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Predicting student achievement through peer network analysis for timely personalization via generative AI by Ivica Pesovski, Petar Jolakoski, Vladimir Trajkovik, Zuzana Kubincova, Michael A. Herzog

“…For low achievers, these materials include foundational course materials, multiple-choice quizzes and supplementary materials like videos and step-by-step visualizations. The neutral group was given the option to request specific learning materials and self-assessment quizzes on demand to address their individual learning needs. …”
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Multilabel Classification for Entry-Dependent Expert Selection in Distributed Gaussian Processes by Hamed Jalali, Gjergji Kasneci

“…This strategy is easily extendable to distributed learning scenarios and multi-agent models, regardless of Gaussian assumptions regarding the experts.…”
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Equivariant diffusion for structure-based de novo ligand generation with latent-conditioning by Tuan Le, Julian Cremer, Djork-Arné Clevert, Kristof T. Schütt

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PENINGKATAN HASIL BELAJAR PENDIDIKAN PANCASILA SISWA KELAS IV DENGAN MODEL NUMBERED HEADS TOGETHER DI SD NEGERI 1 TARATAK BARU SIJUNJUNG by Yulfia Nora, Refnywidialistuti, Dea Febriola Inesti

“…The type of research used is PTK (Classroom Action Research) with steps including planning, implementation, observation and reflection. steps include planning, implementation, observation and reflection. …”
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PENGEMBANGAN MODEL LINTASKUJITU DALAM PEMBELAJARAN MENYIMAK FABEL by Dewi Syafrina, Anri Nofitria

“…This research and development resulted in six stages of learning which are packaged in a guidebook. The Lintaskujitu model was declared feasible for implementation by experts and teacher with a percentage of 76% (the model concept), 79% (the model steps), and 75% (the level of student needs). …”
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Temporally-consistent koopman autoencoders for forecasting dynamical systems by Indranil Nayak, Ananda Chakrabarti, Mrinal Kumar, Fernando L. Teixeira, Debdipta Goswami

“…This is achieved through a consistency regularization term that enforces prediction coherence across different time steps, thus enhancing the robustness and generalizability of tcKAE over existing models. …”
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Neural Successive Cancellation Polar Decoder With Tanh-Based Modified LLR Over FSO Turbulence Channel by Jiafei Fang, Meihua Bi, Shilin Xiao, Hang Yang, Zhiyu Chen, Zhiyang Liu, Weisheng Hu

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Teaching Reading Comprehension for Slow Learners by Nur Jaenah

“…The results show that the design of reading comprehension learning tries to be adapted to the profile of slow learners, consisting of structuring the planning, process and evaluation stages of reading comprehension learning by educators for slow learners, as well as overcoming learning obstacles, so that learning is more responsive and helps overcoming learning obstacles, practicing academic skills that are lagging behind, increasing personal development, and increasing the learning achievement of slow learners. …”
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A Semi-Supervised Multi-Region Segmentation Framework of Bladder Wall and Tumor with Wall-Enhanced Self-Supervised Pre-Training by Jie Wei, Yao Zheng, Dong Huang, Yang Liu, Xiaopan Xu, Hongbing Lu

“…The accurate segmentation of the bladder wall and tumor in magnetic resonance imaging (MRI) is a crucial step in distinguishing between non-muscle-invasive and muscle-invasive types of bladder cancer, which plays a pivotal role in guiding clinical treatment decisions and influencing postoperative quality of life. …”
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Exploring the application of knowledge transfer to sports video data by Shahrokh Heidari, Gibran Zazueta, Riki Mitchell, David Arturo Soriano Valdez, Mitchell Rogers, Mitchell Rogers, Jiaxuan Wang, Ruigeng Wang, Marcel Noronha, Alfonso Gastelum Strozzi, Mengjie Zhang, Patrice Jean Delmas, Patrice Jean Delmas

“…Transfer Learning and Zero-Shot Learning (ZSL) offer promising alternatives to this approach. …”
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PROJECT BASED LEARNING APPROACH TO IMPROVE STUDENTS’ ABILITY TO WRITE DESCRIPTIVE TEXT (A Classroom Action Research at Grade X SMAN I Bengkulu Selatan) by Vera Maria Shanti, Syahrial ., Irwan Koto

“…It was aimed to explain whether Project Based Learning can improve students’ ability in writing descriptive text and step of Project Based Learning which improved the students’ ability to write descriptive text at grade X of SMAN 1 Bengkulu Selatan in the 2015/2016 academic year. …”
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Machine Learning Modeling for Building Energy Performance Prediction Based on Simulation Data: A Systematic Review of the Processes, Performances, and Correlation of Process-Relate... by Damla Kömürcü, Ecem Edis

“…Machine learning models have become a potential alternative for building energy performance studies since they provide fast and reliable prediction results. …”
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EFFORTS TO ENHANCE SOCIAL-EMOTIONAL COMPETENCE IN THEME 8 PRAJA MUDA KARANA THROUGH PROJECT-BASED LEARNING (PJBL) IN THIRD GRADE ELEMENTARY SCHOOL by Siti Ashfiyah, Naniek Sulistya Wardani

“…It is proven that the PjBL steps can improve the social-emotional competence of theme 8 entitled Praja Muda Karana for grade 3 students …”
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Direction of Arrival (DOA) Estimation Using a Deep Unfolded Learned Iterative Shrinkage Thresholding Algorithm (LISTA) Network in a Non-Uniform Metasurface by Xinyi Niu, Xiaolong Su, Lida He, Guanchao Chen

“…Additionally, a deep unfolded Learned Iterative Shrinkage Thresholding Algorithm (LISTA) network is constructed by transforming Iterative Shrinkage Thresholding Algorithm (ISTA) iterative steps into trainable neural network layers, combining model-driven logic with data-driven parameter optimization. …”
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Improving Teachers' Capability in Implementing Learning Through Information and Communication Technology (ICT)-based Academic Supervision in the Gugus V Teacher Working Group in Ta... by Nur Ekasiswi

“… This research aims to improve teachers' abilities in implementing learning through information and communication technology (ICT)-based academic supervision. …”
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Computationally Efficient Design of 16-Poles and 24-Slots IPMSM for EV Traction Considering PWM-Induced Iron Loss Using Active Transfer Learning by Soo-Hwan Park, Myung-Seop Lim

“…However, for PWM-induced iron loss, extremely small time steps are required to accurately capture high-frequency components, resulting in a significantly high computational cost for data acquisition and making the optimization process inefficient. …”
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Cuff-less blood pressure monitoring via PPG signals using a hybrid CNN-BiLSTM deep learning model with attention mechanism by Hanieh Mohammadi, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari

“…Through meticulous preprocessing steps, the model achieved an impressive mean absolute error (MAE) of 1.88 for systolic blood pressure (SBP) and 1.34 for diastolic blood pressure (DBP) across 5-fold cross-validation. …”
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Enhanced recurrent attention-deep Q learning with optimal node constrains and effective penalty based model for data transmission scheduling on wireless sensor networks by D.R. Anita Sofia Liz, Yesubai Rubavathi C

“…In order to improve the effectiveness of data transmission scheduling in wireless sensor networks (WSNs), this paper proposes a unique method called Recurrent Attention-Deep Q Learning with Optimal Node Constraints and Effective Penalty based WSN Scheduling (RA-DQL-ONC&EP). …”
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The Effectiveness of Instruction Based on the Four-Component Instructional Design (4C-ID) Model on Meaningful Learning and Critical Thinking in Sixth-Grade Students of Ardabil by Nader Heidari Raziabad, Vahid Rahimzadeh, Ali Khaleghkhah

“…The independent variable of education was based on the four-component educational design model (4C-ID) and the dependent variables were meaningful learning and critical thinking. The training protocol based on the four-component training design model (4C-ID) is introduced in 10 steps and aims to design the training courses correctly (Van Merriënboer & Kirschner, 2017). …”
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