Lithology Identification Method and Application Based on Generative Adversarial Neural Network by YIN Qiong

“…Based on the advantages of machine learning in data analysis and modeling, two-step lithology identification strategy and generative adversarial neural network are used to identify the lithology of logging with unbalanced categories. …”
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Key Vital Signs Monitor Based on MIMO Radar by Michael Gottinger, Nicola Notari, Samuel Dutler, Samuel Kranz, Robin Vetsch, Tindaro Pittorino, Christoph Würsch, Guido Piai

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Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble by Yanmin Fan

“…Preprocessing is the first step, which includes cleaning, normalizing, and organizing the data so that it can be fed into deep learning models. …”
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Exploring Bioimage Synthesis and Detection via Generative Adversarial Networks: A Multi-Faceted Case Study by Valeria Sorgente, Dante Biagiucci, Mario Cesarelli, Luca Brunese, Antonella Santone, Fabio Martinelli, Francesco Mercaldo

“…The first step is related to bioimage generation using a Deep Convolutional GAN, while the second step involves the training and testing of a set of machine learning models aimed to distinguish between real and generated bioimages. …”
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A Simulation-Based Approach to Teach Interaction Effects in Postgraduate Biostatistics Courses by Nicola Orsini, Robert Thiesmeier, Karin Båge

“…We presented one main learning activity, broken down into six progressive steps, from visualizing an interaction effect to investigating samples leading to erroneous inference. …”
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The use of frequency dictionaries in the process of the development of the English language lexical competence of students in IT fields by M. V. Kharina

“…The article presents a structural and functional model of working with frequency dictionaries in the learning process that is a sequence of three important steps to be performed by the lecturer, and the results of each of them. …”
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Unlocking the potential of student teachers: a practical approach to promote competence development through competence standards by Annalena Steffen, Franziska Ohl

“…As part of this framework, we established a competence grid for student teachers to assess and support individualizing students’ learning paths. The grid is meant to stimulate self-reflection, which should help individuals raise awareness for their learning progress and make performance levels visible. …”
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MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle by Marnee J. McKay, Kenneth A. Weber, Evert O. Wesselink, Zachary A. Smith, Rebecca Abbott, David B. Anderson, Claire E. Ashton-James, John Atyeo, Aaron J. Beach, Joshua Burns, Stephen Clarke, Natalie J. Collins, Michel W. Coppieters, Jon Cornwall, Rebecca J. Crawford, Enrico De Martino, Adam G. Dunn, Jillian P. Eyles, Henry J. Feng, Maryse Fortin, Melinda M. Franettovich Smith, Graham Galloway, Ziba Gandomkar, Sarah Glastras, Luke A. Henderson, Julie A. Hides, Claire E. Hiller, Sarah N. Hilmer, Mark A. Hoggarth, Brian Kim, Navneet Lal, Laura LaPorta, John S. Magnussen, Sarah Maloney, Lyn March, Andrea G. Nackley, Shaun P. O’Leary, Anneli Peolsson, Zuzana Perraton, Annelies L. Pool-Goudzwaard, Margaret Schnitzler, Amee L. Seitz, Adam I. Semciw, Philip W. Sheard, Andrew C. Smith, Suzanne J. Snodgrass, Justin Sullivan, Vienna Tran, Stephanie Valentin, David M. Walton, Laurelie R. Wishart, James M. Elliott

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Mediating Culture(s) in Foreign Language Teaching by Mădălina Tvardochlib

“…As this approach fosters empathy and cross-cultural communication, culture-based learning can prove a stepping stone to developing valuable soft skills, especially in an academic setting. …”
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Enabling Eye Tracking for Crowd-Sourced Data Collection With Project Aria by Yusuf Mansour, Ajoy Savio Fernandes, Kiran Somasundaram, Tarek Hefny, Mahsa Shakeri, Oleg V. Komogortsev, Abhishek Sharma, Michael J. Proulx

“…This paper will discuss the systems in place and technical steps we have taken to enable eye tracking for the project, and select lessons learned in the process. …”
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Aflatoxin contamination level estimation in food using reflectance multispectral imaging based system by H.M.P.S. Madushan, H.L.P. Malshan, K.K. Abewickrama, H.M.V.R. Herath, Roshan Godaliyadda, M.P.B. Ekanayake, A.D.S.N.P. Athukorala, M.D.H.M. Kumari, Darsha Udayanga

“…Ensemble classification analysis utilizing classical machine learning classifiers yielded an accuracy of 90 % when classifying samples according to aflatoxin contamination levels. …”
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PixelCraftSR: Efficient Super-Resolution with Multi-Agent Reinforcement for Edge Devices by M. J. Aashik Rasool, Shabir Ahmed, S. M. A. Sharif, Mardieva Sevara, Taeg Keun Whangbo

“…The agents iteratively select a predefined set of actions to be executed within five time steps based on the new image state, followed by the action that maximizes the cumulative reward. …”
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Mediating Culture(s) in Foreign Language Teaching by Mădălina Tvardochlib

“…As this approach fosters empathy and cross-cultural communication, culture-based learning can prove a stepping stone to developing valuable soft skills, especially in an academic setting. …”
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Advances in Traffic Congestion Prediction: An Overview of Emerging Techniques and Methods by Aristeidis Mystakidis, Paraskevas Koukaras, Christos Tjortjis

“…Finally, we present an overall step-by-step standard methodology that is often utilized in TCP problems. …”
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On training intelligent agents in a virtual environment for the robot manipulator control task by Nikita E. Zalogin, Dmitriy S. Grigorev

“…It was shown that trained agents are able to solve the assigned task, and modifications can reduce the training time and the number steps required in the environment. As a result of testing, the algorithms demonstrated acceptable accuracy in manipulator control, which is validated on 1000 test episodes of the environment. …”
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Multi-Timescale Energy Consumption Management in Smart Buildings Using Hybrid Deep Artificial Neural Networks by Favour Ibude, Abayomi Otebolaku, Jude E. Ameh, Augustine Ikpehai

“…Thus, accurately predicting energy consumption is one of the key steps in addressing inefficiency in energy consumption and its optimization. …”
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Artificial Intelligence-Based Transmission Frequency Prediction in Cable Systems Using Electromagnetic Field Data by Abbas Seif, Hamid Radmanesh, Amir Ahmarinejad, Ahmad Ali Ashrafian

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Irish potato imagery dataset for detection of early and late blight diseasesZenodo by Hudson Laizer, Neema Mduma

“…This dataset holds significant potential for reuse in training machine learning models for crop disease detection, transfer learning and data augmentation studies. …”
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Controlled Text Generation of Lung Cancer Descriptions for Small Sample Data by Xiaochao Dang, Zhengzhang Zhao, Fenfang Li

“…The method involves two key steps: firstly, the small sample dataset is expanded through an unsupervised learning approach, and secondly, compliant texts are generated by a generator. …”
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Artificial Intelligence Applied to the Analysis of Biblical Scriptures: A Systematic Review by Bruno Cesar Lima, Nizam Omar, Israel Avansi, Leandro Nunes de Castro

“…This research follows a procedure based on three steps: planning (defining the review protocol), conducting (performing the survey), and reporting (formatting the report). …”
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