Assessing the impact of clinically relevant medicinal chemistry teaching: Learning gains from case study approach by Fernanda Domingues Lustoza, João Paulo S. Fernandes

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Multivariate Statistics and Supervised Learning for Predictive Detection of Unintentional Islanding in Grid-Tied Solar PV Systems by Shashank Vyas, Rajesh Kumar, Rajesh Kavasseri

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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

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Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning by Frank Rhein, Timo Sehn, Michael A. R. Meier

Subjects: “…Machine learning…”
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A New Transfer Learning Ensemble Model with New Training Methods for Gear Wear Particle Recognition by Chunhua Zhao, zhangwen Lin, Jinling Tan, Hengxing Hu, Qian Li

“…Aiming at solving the acquisition problems of wear particle data of large-modulus gear teeth and few training datasets, an integrated model of LCNNE based on transfer learning is proposed in this paper. Firstly, the wear particles are diagnosed and classified by connecting a new joint loss function and two pretrained models VGG19 and GoogLeNet. …”
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Building Creative Capacity Building in University Graduates: What we can learn from boids and voids by McWilliam Erica

“…Given that the challenge of setting up a learning environment that fosters such a complex mix of relational dynamics is not a simple matter of ensuring that people feel good about themselves, the paper canvasses two areas of research that can be usefully bought together to provide principles on which to build learning environment for ‘high flying’ creatives.…”
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Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks by Mohammed Almehdhar, Abdullatif Albaseer, Muhammad Asif Khan, Mohamed Abdallah, Hamid Menouar, Saif Al-Kuwari, Ala Al-Fuqaha

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Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach by Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad

“…This paper focuses on constructing deep-learning-based models to identify causal factors from incident reports. …”
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Learnings from COVID-19 Forced Lockdown on Regional Air Quality and Mitigation Potential for South Asia by Abhishek Upadhyay, Parth Sarathi Mahapatra, Praveen Kumar Singh, Sishir Dahal, Suresh Pokhrel, Amit Bhujel, Indu Bikram Joshi, Shankar Prasad Paudel, Siva Praveen Puppala, Bhupesh Adhikary

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Enhanced crayfish optimization algorithm: Orthogonal refracted opposition-based learning for robotic arm trajectory planning. by Yuefeng Leng, Chunlai Cui, Zhichao Jiang

“…Furthermore, an orthogonal refracted opposition-based learning strategy enhances solution quality and search efficiency by leveraging the dominant dimensional information. …”
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An Enhanced Drone Technology for Detecting the Human Object in the Dense Areas Using a Deep Learning Model by Mohamad Reda A. Refaai, Dhruva R. Rinku, I. Thamarai, null S. Meera, Naresh Kumar Sripada, Simon Yishak

“…Meanwhile, growing movement of the deep learning techniques in computer vision offers an interesting perspective into the project’s objective. …”
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The effectiveness of interactive learning media on dance dynamics material using articulate storyline 3 in elementary schools by Cicilia Ika Rahayu Nita, Alfina Dela Wati

Subjects: “…interactive learning media…”
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THE ANALYSIS OF INFORMATION TECHNOLOGIES USAGE FOR ACADEMIC PURPOSES IN ENGLISH LANGUAGE TEACHING AND LEARNING AT UNIVERSITAS BANGKA BELITUNG by Herland Franley Manalu

Subjects: “…Language Teaching and Learning…”
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Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs by Xieling Chen, Haoran Xie, Di Zou, Gary Cheng, Xiaohui Tao, Fu Lee Wang

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Analysis of the Learning Curve of Surgeons without Previous Experience in Laparoscopy to Perform Robot-Assisted Radical Prostatectomy by Felipe Monnerat Lott, Deborah Siqueira, Hermano Argolo, Bernardo Lindberg Nóbrega, Franz Santos Campos, Luciano Alves Favorito

“…Objective. To assess the learning curve in robot-assisted radical prostatectomy (RARP) performed by surgeons without previous experience in laparoscopic prostatectomy. …”
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Menulis Surat Pribadi kepada Presiden RI sebagai Pembelajaran Berbasis Proyek (Project Based Learning) by Dwi Suparti

“…Model yang digunakan untuk mencapai kompetensi dan kebermaknaan dipilih model Pembelajaran Berbasis Proyek (Project Based Learning). Dalam pembelajaran menulis surat pribadi kepada presiden, pembelajaran berpusat pada peserta didik sedangkan  guru sebagai fasilitator, mulai dengan merencanakan, melaksanakan,sampai pada terwujudnya produk berupa surat yang dikirimkan kepada presiden melalui kantor pos terdekat. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

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Students’ higher-order thinking skills: constructing best practices in teaching English during online learning by Niken Emiria Faradella

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Information and Communication Technologies and Regional Policy: What Can We Learn from Evaluations of Policy Instruments by Walter Scherrer

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Prediction of thermal conductivity in CALF-20 with first-principles accuracy via machine learning interatomic potentials by Soham Mandal, Prabal K. Maiti

“…Here, we report the thermal transport study of CALF-20 using artificial neural network-based machine learning potentials. We use the Green-Kubo approach based on equilibrium molecular dynamics, with a heat-flux renormalization technique, to determine the thermal conductivity (κ) of CALF-20. …”
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