Promoting quality education through blended learning during and post COVID-19 pandemic by De-Graft Johnson Dei

Subjects: “…Blended learning…”
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Applying Modelica Tools to System Dynamics Based Learning Games: Project Management Game by Tuomas Miettinen, Juho Salmi, Kunal Gupta, Jussi Koskela, Janne Kauttio, Tommi Karhela, Sampsa Ruutu

“…Learning simulation games are interactive simulations with game characteristics. …”
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Conceptual Change Inquiry Curriculum and Traditional Lecture Approach: Preservice Teacher’s Perceptions of Learning by Lloyd Mataka, Rex Taibu

“…A quasi-experimental treatment control group design was used to investigate the effect of a conceptual change curriculum, Multi-Step Inquiry approach, on students’ perception of their learning in a science classroom. This started with the development of a workbook that explicitly focused on conceptual understanding, followed by the development and validation of an inventory to explore students’ perceptions of learning. …”
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Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning by Jiming Tang, Yao Huang, Dingli Liu, Liuyuan Xiong, Rongwei Bu

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Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning” by Shilian Dong, Dong He, Qian Zhang, Chaoning Huang, Zhiheng Hu, Chenyang Zhang, Lei Nie, Kun Wang, Wei Luo, Jing Yu, Bin Tian, Wei Wu, Xu Chen, Fubing Wang, Jing Hu, Xiangheng Xiao

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Machine Learning-Based Quantification of Lateral Flow Assay Using Smartphone-Captured Images by Anne M. Davis, Asahi Tomitaka

Subjects: “…machine learning…”
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Improving learning experience through process re-engineering: Khan Academy localization into Azerbaijani by Ayaz Karimov, Alexander Nolte, Irene-Angelica Chounta, Mirka Saarela, Tommi Kärkkäinen

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Adapting to evolving MRI data: A transfer learning approach for Alzheimer’s disease prediction by Rosanna Turrisi, Sarthak Pati, Giovanni Pioggia, Gennaro Tartarisco

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A Model for Evolution of Investors Behavior in Stock Market Based on Reinforcement Learning in Network by Xiaqun Liu, Yaming Zhuang, Jinsheng Li

“…This paper builds an evolution model of investors behavior based on the reinforcement learning in multiplex networks. Due to the heterogeneity of learning characteristics of bounded rational investors in investment decisions, we consider, respectively, the evolution mechanism of individual investors and institutional investors on the complex network theory and reinforcement learning theory. …”
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Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“…In this study, Federated Learning is utilized to improve the security and privacy through empowering nodes to train the model deprived of distribution complex data. …”
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Digital mapping of soil salinity with time-windows features optimization and ensemble learning model by Shuaishuai Shi, Nan Wang, Songchao Chen, Bifeng Hu, Jie Peng, Zhou Shi

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Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals by Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P

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Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches by Said El Harkaoui, Cristina Ortiz Cruz, Aaron Roggenland, Micha Schneider, Sascha Rohn, Stephan Drusch, Bertrand Matthäus

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HISTORICAL EMPATHY; THE OPPORTUNITIES, REALITY, AND CHALLENGES OF ONLINE HISTORY LEARNING IN SENIOR HIGH SCHOOL by Labibatussolihah Labibatussolihah, Nour Muhammad Adriani, Nurdiani Fathiraini, Yaya Sumirat

Subjects: “…history learning…”
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High‐Precision Drop‐on‐Demand Printing of Charged Droplets on Nonplanar Surfaces with Machine Learning by Shaheer Mohiuddin Khalil, Shahzaib Ali, Vu Dat Nguyen, Dae‐Hyun Cho, Doyoung Byun

“…Moreover, a predictive model for droplet deposition, exhibiting an accuracy of 87%, is developed utilizing supervised machine learning (ML). This approach significantly improves the accuracy and repeatability of droplet deposition. …”
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Lightning-induced vulnerability assessment in Bangladesh using machine learning and GIS-based approach by Tanmoy Mazumder, Md. Mustafa Saroar

“…This study investigates the lightning-induced vulnerability in Bangladesh using Geographic Information Systems (GIS) and Machine Learning (ML) techniques, addressing the limited research in this area. …”
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Adaptive Evolutionary Optimization of Deep Learning Architectures for Focused Liver Ultrasound Image Segmentation by Ali Zifan, Katelyn Zhao, Madilyn Lee, Zihan Peng, Laura J. Roney, Sarayu Pai, Jake T. Weeks, Michael S. Middleton, Ahmed El Kaffas, Jeffrey B. Schwimmer, Claude B. Sirlin

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SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection by Ntandoyenkosi Zungu, Peter Olukanmi, Pitshou Bokoro

“…We present a new deep learning architecture, named SynthSecureNet, which hybridizes two popular architectures: MobileNetV2 and ResNetV2. …”
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Strengthening Responsible Journalism Through Self-Efficacious Learning-Oriented Media Literacy Interventions by Auksė Balčytienė

“…It tests these ideas in an experimental study with journalism students, where the lateral reading approach was applied within the framework of learning skills for information verification. Results from the thematic analysis of students’ reflexive assessments of their practice reveal norms illustrative of a self-efficacious learning process: Students’ answers demonstrate empowering and perseverance-directed approaches. …”
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Effect of Learning Environment on Academic Performance of Pupils and Students in Kagango Division Sheema Municipality. by Andonzire, Steve James

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