Validity and Practicality Test of Science Comic learning media for Class VI on Waste Processing Material at SDN 8 Pule Trenggalek by Nurul Hidayati, Sri Utami, Raden Syaifuddin

“…The effectiveness of learning with science media was analyzed using the N-gain formula. …”
Get full text

Motor Sequence Learning across Multiple Sessions Is Not Facilitated by Targeting Consolidation with Posttraining tDCS in Patients with Progressive Multiple Sclerosis by Harald Seelmann-Eggebert, Muriel Stoppe, Florian Then Bergh, Joseph Classen, Jost-Julian Rumpf

“…In sum, patients with progressive MS are able to improve performance in an ecologically valid motor sequence learning task through training. However, even multisession posttraining tDCS fails to promote motor learning in progressive MS.…”
Get full text

Development of a New Modified Sonar Inspired Optimization based on Machine Learning Methods for Evaluating Compressive of High-Performance Concrete by Ali Nikkhoo, Amin Moshtagh, Mehri Mehrnia

Get full text

A Practical Approach for Predicting Power in a Small-Scale Off-Grid Photovoltaic System using Machine Learning Algorithms by Aadyasha Patel, O. V. Gnana Swathika, Umashankar Subramaniam, T. Sudhakar Babu, Alok Tripathi, Samriddha Nag, Alagar Karthick, M. Muhibbullah

“…The results are been compared with results obtained by another machine learning algorithm such as polynomial regression and case-based reasoning. …”
Get full text

Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT) by Nemat Hazrati, Sajjad Pirahesh, Bahman Arasteh, Seyed Salar Sefati, Octavian Fratu, Simona Halunga

Get full text

THE COMPARATIVE ANALYSIS OF LEARNING OUTCOMES USING NORM-REFERENCED TEST (NRT) AND CRITERION-REFERENCED TEST (CRT) IN THE SUBJECT OF ISLAMIC EDUCATION by Herman Darmawan

Subjects: Get full text

Identifying the Factors Affecting Student Academic Performance and Engagement Prediction in MOOC Using Deep Learning: A Systematic Literature Review by Shahzad Rizwan, Chee Ken Nee, Salem Garfan

Subjects: Get full text

Deep Learning for Predicting Spheroid Viability: Novel Convolutional Neural Network Model for Automating Quality Control for Three-Dimensional Bioprinting by Zyva A. Sheikh, Oliver Clarke, Amatullah Mir, Narutoshi Hibino

Subjects: Get full text

Teachers' perceptions, attitudes, and acceptance of artificial intelligence (AI) educational learning tools: An exploratory study on AI literacy for young students by Iris Heung Yue Yim, Rupert Wegerif

Subjects: “…AI educational learning tools and platforms…”
Get full text

Performance Index Based Observer-Type Iterative Learning Control for Consensus Tracking of Uncertain Nonlinear Fractional-Order Multiagent Systems by Liming Wang, Guoshan Zhang

“…For the FOMASs including one leader agent and multiple follower agents, an observer-type fractional-order iterative learning consensus protocol is proposed. Based on the two-dimensional analysis for the FOMASs, a novel performance index, which can exhibit the monotonic convergence of the input errors, is constructed by using the definition of fractional integral. …”
Get full text

Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study by Bo Han, Junrui Jonathan Hai, Aixing Pan, Yingjie Wang, Yong Hai

Subjects: Get full text

Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes by Xiangyu Zhang, Claudia Baumann, Rabindranath De La Fuente

“…Here, we developed a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live mouse oocytes. …”
Get full text

A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

Subjects: Get full text

High-Level Interpretation of Urban Road Maps Fusing Deep Learning-Based Pixelwise Scene Segmentation and Digital Navigation Maps by Carlos Fernández, Jesús Muñoz-Bulnes, David Fernández-Llorca, Ignacio Parra, Iván García-Daza, Rubén Izquierdo, Miguel Á. Sotelo

“…The high-level interpretation module is designed to learn the best set of parameters of a function that maps all the available features to the actual parametric model of the urban road, using a weighted F-score as a cost function to be optimized. …”
Get full text

Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis by Meng Zhao, Zhixin Yao, Yan Zhang, Lidan Ma, Wenquan Pang, Shuyin Ma, Yijun Xu, Lili Wei

Subjects: Get full text

Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections by Asadulla Y. Ashurov, Mehdhar S. A. M. Al-Gaashani, Nagwan A. Samee, Reem Alkanhel, Ghada Atteia, Hanaa A. Abdallah, Mohammed Saleh Ali Muthanna

Subjects: “…deep learning…”
Get full text

A Deep Learning-Based Approach for Precise Emotion Recognition in Domestic Animals Using EfficientNetB5 Architecture by Rashadul Islam Sumon, Haider Ali, Salma Akter, Shah Muhammad Imtiyaj Uddin, Md Ariful Islam Mozumder, Hee-Cheol Kim

“…This study presents a unique emotion classification deep learning-based approach for pet animals. The actual and emotional status of dogs and cats have been classified using a modified EfficientNetB5 model. …”
Get full text

Nurses' Experiences With Mentoring Nursing Students in Nursing Homes Where an Active, Collaborative Learning Model Is Introduced. A Qualitative Study by Anne Raustøl, Kirsten Eika Amsrud, Eli‐Anne Skaug, Anne Lyberg, Bodil Tveit

Subjects: Get full text

Modulation of Preactivation of PPAR-β on Memory and Learning Dysfunction and Inflammatory Response in the Hippocampus in Rats Exposed to Global Cerebral Ischemia/Reperfusion by Ge Kuang, Qin He, Yunmei Zhang, Ruichun Zhuang, Anling Xiang, Qingsong Jiang, Ying Luo, Junqing Yang

Get full text

Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study by Yubing Wang, Chao Qu, Jiange Zeng, Yumin Jiang, Ruitao Sun, Changlei Li, Jian Li, Chengzhi Xing, Bin Tan, Kui Liu, Qing Liu, Dianpeng Zhao, Jingyu Cao, Weiyu Hu

Subjects: “…Machine learning…”
Get full text