Suchergebnisse - Brain Based Learning Module

THE CIREMAI MOUNTAIN CURRICULUM IN A BRAIN-BASED LEARNING E-MODULE: AN EFFORT TO ENHANCE STUDENTS’ MATHEMATICAL CREATIVE THINKING ABILITY von Adiastuty, Nuranita, Aeni, Dilla Dzahrotul, Syafari, Rahayu

“… This study aims to develop a Brain-Based Learning (BBL) e-module based on the Gunung Ciremai Curriculum to enhance junior high school students' mathematical creative thinking on plane figures …”
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Development of Teaching-Based Modules Brain Based Learning by Using Games in Mathematics Learning at Yapis Ranting 2 Middle School Timika von Hanudin, Sub, Herwin, Herwin, Rasul, A. Rasul

“… The aim of this research is to determine the feasibility of developing a brain-based learning mathematics module using a crossword puzzle game as seen from the level of validity, practicality and effectiveness …”
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Improving Students Mathematical Critical Thinking Ability With Learning Modules Using Brain-Based Learning Models von Asfar, Nisa Ulkhairat, Permana, Dony, Fauzan, Ahmad, Yarman, Yarman

“… Mathematical critical thinking skills focus on activities in analyzing a more specific idea. Developing a learning module using a brain-based learning model is necessary to improve mathematical critical thinking skills …”
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PENGEMBANGAN MODUL BERBASIS BRAIN BASED LEARNING PADA POKOK BAHASAN BARISAN DAN DERET ARITMATIKA TERHADAP PEMAHAMAN KONSEP SISWA: PENGEMBANGAN MODUL BERBASIS BRAIN BASED LEARNING PADA POKOK BAHASAN BARISAN DAN DERET ARITMATIKA TERHADAP PEMAHAMAN KONSEP SISWA von Neno, Dewi Mariana, Yusuf, St. Muthmainnah, Fatmawati, Agustin

“… This study aims to develop a Brain Based Learning – based module on the subject of arithmetic sequences and series onstudentsâ …”
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Learning Module Based on Brain Management and Mind Mapping to Train Mathematical Connection Abilities in Plane Geometry Course von Omega Putri Usdinoari, Carolina, Julie, Hongki

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Optimization Driven Spike Deep Belief Neural Network classifier: a deep-learning based Multichannel Spike Sorting Neural Signal Processor (NSP) module for high-channel-count Brain Machine Interfaces (BMIs) von Reddy, Vanga Karunakar, Melingi, Sunil Babu, Kumar, Ch. V. M. S. N. Pavan, Kumar, K. Ashok, Mojjada, Ramesh Kumar

“… An Optimization Driven Spike Deep Belief Neural Networks is a type of neural network that is inspired by the functioning of the human brain …”
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Convolutional Block Attention Module-based Deep Learning Model for MRI Brain Tumor Identification (ResNet-CBAM) von Shyamala, N., Mahaboobbasha, S.

“… A deep learning approach utilizing the ResNet-50 model integrated with Convolutional Block Attention Module (CBAM …”
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D-LMBmap: a fully automated deep-learning pipeline for whole-brain profiling of neural circuitry von Li, Zhongyu, Shang, Zengyi, Liu, Jingyi, Zhen, Haotian, Zhu, Entao, Zhong, Shilin, Sturgess, Robyn N., Zhou, Yitian, Hu, Xuemeng, Zhao, Xingyue, Wu, Yi, Li, Peiqi, Lin, Rui, Ren, Jing

“… To address these challenges, we developed D-LMBmap, an end-to-end package providing an integrated workflow containing three modules based on deep-learning algorithms for whole-brain connectivity mapping …”
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A Transfer Learning-Based Approach for Brain Tumor Classification with Attention Module von Khan, Md. Ariful Haque, Hossain, Md Shakhawat

“… This study presents a system for classifying brain tumors using a transfer learning model enhanced by a self-attention mechanism …”
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The development of Organization of Living Things module through the use of mnemonic and mind mapping using a brain-based learning approach for junior high school Natural Science learning in coastal areas von Prihatin, Jekti, Septiwanti, Nina Naurah, Fikri, Kamalia

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Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI von Wang, Qianqian, Wang, Wei, Fang, Yuqi, Yap, Pew-Thian, Zhu, Hongtu, Li, Hong-Jun, Qiao, Lishan, Liu, Mingxia

“… ). However, existing learning-based methods cannot adequately utilize such brain modularity prior …”
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ARM-Net: Improved MRI brain tumor segmentation method based on attentional mechanism and residual module von MingHu

“… It proposes ARM-Net: an improved method for MRI brain tumor segmentation based on attention mechanisms and residual …”
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The Effectiveness of OsiriX and the Anatomage Virtual Dissection Table in Enhancing Neuroanatomy and Neuroradiology Teaching von Sadiq, Zuhair, Laswi, Ibrahim, Raoof, Ameed

“… : This aim of this study is to assess the effectiveness of online case- based learning modules in teaching medical students about the anatomy and radiology of different types of brain tumors. Methods …”
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Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making von Liakoni, Vasiliki, Lehmann, Marco P., Modirshanechi, Alireza, Brea, Johanni, Lutti, Antoine, Gerstner, Wulfram, Preuschoff, Kerstin

“… Current brain imaging of learning modules is limited by (i) simple experimental paradigms, (ii …”
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Localization and Registration of 2D Histological Mouse Brain Images in 3D Atlas Space von Sadeghi, Maryam, Ramos-Prats, Arnau, Neto, Pedro, Castaldi, Federico, Crowley, Devin, Matulewicz, Pawel, Paradiso, Enrica, Freysinger, Wolfgang, Ferraguti, Francesco, Goebel, Georg

“… To accurately explore the anatomical organization of neural circuits in the brain, it is crucial to map the experimental brain data onto a standardized system of coordinates …”
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Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis von Yu, Yue, Kan, Xuan, Cui, Hejie, Xu, Ran, Zheng, Yujia, Song, Xiangchen, Zhu, Yanqiao, Zhang, Kun, Nabi, Razieh, Guo, Ying, Zhang, Chao, Yang, Carl

“… ), which are noisy and can lead to inferior results for GNN models. To better adapt GNNs for fMRI analysis, we propose DABNet, a Deep DAG learning framework based on Brain Networks for fMRI analysis …”
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Assessing the carbon footprint of soccer events through a lightweight CNN model utilizing transfer learning in the pursuit of carbon neutrality von Liu, Zhewei, Guo, Dayong

“… context.MethodsOur proposed lightweight CNN model uses a downsampling module based on the human brain for efficient information processing and a transfer learning-based module to speed up the training progress …”
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An improved attention module based on nnU-Net for segmenting primary central nervous system lymphoma (PCNSL) in MRI images1 von Zhao, Chen, Song, Jianping, Yuan, Yifan, Chu, Ying-Hua, Hsu, Yi-Cheng, Huang, Qiu

“… an improved attention module based on nnUNet for automated segmentation. We collected 114 T1 MRI images of patients in the Huashan Hospital, Shanghai …”
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Integration of cooperative and opposing molecular programs drives learning-associated behavioral plasticity von Nelson, Jessica C., Shoenhard, Hannah, Granato, Michael

“… an unexpected level of complexity. How the vertebrate brain integrates these various pathways to accomplish habituation learning, whether they act independently or intersect with one another, and whether they act via divergent …”
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A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots von Taniguchi, Tadahiro, Yamakawa, Hiroshi, Nagai, Takayuki, Doya, Kenji, Sakagami, Masamichi, Suzuki, Masahiro, Nakamura, Tomoaki, Taniguchi, Akira

“… This approach is based on two ideas: (1) brain-inspired AI, learning human brain architecture to build human-level intelligence, and (2 …”
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