Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods by Rad Stanev, Tanyo Tanev, Venizelos Efthymiou, Chrysanthos Charalambous

“…The massive integration of variable renewable energy sources (RESs) poses the gradual necessity for new power system architectures with wide implementation of distributed battery energy storage systems (BESSs), which support power system stability, energy management, and control. This research presents a methodology and realization of a set of 11 BESS models based on different machine learning methods. …”
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Evaluating Supervised Learning Classifier Performance for OFDM Communication in AWGN-Impacted Systems by Lavanya Vaishnavi D A, Anil Kumar C

“…The evolution of various communication and needs in the everyday usage has fetched an avenue for the major researchers to evaluate and enhance the quality of communication for efficient data delivery with seamless boundaries even through noisy communication channels. Hence the present research work is an attempt to recommend a Machine Learning (ML) methodology for the performance analysis of multiplexed communication channel under Orthogonal frequency division technique. …”
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Enhanced Online Continuous Brain-Control by Deep Learning-Based EEG Decoding by Jiaheng Wang, Lin Yao, Yueming Wang

“…Conclusion: We present one of the first studies about online MI-BCIs using deep learning, achieving substantially enhanced online performance for continuous BCI control. …”
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Methodical aspects of using of Web 2.0 services in the process of blended learning by Diana V. Moglan

“…The effectiveness of mastering the course by students in the process of blended learning depends on the ratio of the forms of study used (classroom work, independent work (individual, group), distance interaction) and the nature of the information presented for classroom and independent work. …”
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Deep learning-based sow posture classifier using colour and depth images by Verônica Madeira Pacheco, Tami M. Brown-Brandl, Rafael Vieira de Sousa, Gary A. Rohrer, Sudhendu Raj Sharma, Luciane Silva Martello

“…This study aimed to develop and compare different deep learning-based sow posture classifiers using different architectures and image types. …”
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The issue of motivation for foreign languages learning in international research works: Scoping review by I. K. Tsalikova, S. V. Pakhotina

“…The article presents the scoping review of international studies devoted to the issue of motivation to learn foreign languages. …”
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Human and physical geography: can we learn something from the history of their relations? by Christian Kesteloot, Lorenzo Bagnoli

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How and Where Did Students Learn Music in the Late Middle Ages and Renaissance? by Grantley McDonald

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Application of Machine Learning Methods for Employee Turnover Prediction Based on Open Data by A. N. Kazinets

“…Formal descriptions and architecture of the applied machine learning models are presented, which ensures the transparency and reproducibility of the approach under consideration.…”
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Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning by V. N. Ekzarian, V. V. Rukavitsyn, M. V. Zyulyaeva

“…The system of the environmental forecasts formation with machine learning elements has been presented. It includes stations of the automatic environmental monitoring, a subsystem of the information analysis and a subsystem of the processed information publication.…”
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Emotion Estimation Using Noncontact Environmental Sensing with Machine and Deep Learning Models by Tsumugi Isogami, Nobuyoshi Komuro

“…We employed environmental data to develop machine learning models, including Random Forest, Gradient Boosting Decision Trees, and the deep learning model CNN-LSTM, and evaluated their accuracy in estimating emotional states. …”
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Modeling of servo dynamic stiffness for multiple-periodic repetitive learning control system by Wu-Sung Yao

“…Computer simulation are presented to illustrate the effect of the proposed measurement method of the servo dynamic stiffness for the multiple-periodic repetitive learning control system. …”
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From Communicative Competence to Pragmatic Competence: What Impact on FL Teaching and Learning? by Anissa Fiziya

“…Factors that influence the learning of pragmatics have been identified, and issues related to the teachability of pragmatics and testing pragmatic ability have been tackled. …”
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Learning organizations and knowledge management: Which one enhances another one more? by Hossein Vazifeh Dust, Mahdiyeh Kalantari Dehaghi, Raheim Sadeghi Demneh

“…This paper presents an empirical investigation to detect whether knowledge management (KM) promotes learning organization (LO) or vice versa. …”
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Children’s Social Representations of English Teaching and Learning: A Study in Medellín, Colombia by Isabel Cristina Cadavid-Múnera

“…Finally, a reflection and some implications for the teaching of English to children are presented.…”
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Compiling a Corpus of Audiovisual Materials for EFL Learning: Selection, Analysis, and Exploitation by Paula Wood-Borque

“…Two surveys will be presented, one for compiling fragments, and the other regarding students’ viewing habits. …”
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Error Bounds for lp-Norm Multiple Kernel Learning with Least Square Loss by Shao-Gao Lv, Jin-De Zhu

“…In this paper, we present a theoretical analysis on the approximation error and learning ability of the lp-norm MKL. …”
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Online calibration of deep learning sub-models for hybrid numerical modeling systems by Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet

“…To overcome this, we present an efficient and practical online learning approach for hybrid systems. …”
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Multitask deep learning for the emulation and calibration of an agent-based malaria transmission model. by Agastya Mondal, Rushil Anirudh, Prashanth Selvaraj

“…Agent-based models of malaria transmission are useful tools for understanding disease dynamics and planning interventions, but they can be computationally intensive to calibrate. We present a multitask deep learning approach for emulating and calibrating a complex agent-based model of malaria transmission. …”
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A Way to Change Learning: Field Trips as a University Pedagogical Resource by Érika Vásquez Salazar

“…The author proposes pedagogical field trips as a possible strategy to promote innovation in higher education and achieve a positive change in teaching and learning processes. Field trips are presented as a tool that allows students to complete their coursework in a more significant and participative manner being in contact with the educational reality and to become humanized and to reinvent themselves as persons and future teachers.…”
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