Deep-Learning-Guided Student Intelligent Classroom Management System by Xiaobing Niu

“…It can effectively address authority issues in real scenarios while enhancing the learning efficiency and increasing accessibility. A set of intelligent classroom behavior system based on deep learning that supported by cunning learning methods are proposed accordingly. …”
Get full text

Social exclusion as a side effect of machine learning mechanisms by A. G. Tertyshnikova, U. O. Pavlova, M. V. Cimbal

Get full text

A review of machine learning approaches for the discovery of thermoelectric materials by Övgü C. Yelgel, Celal Yelgel

“…Recent progress in computational infrastructure, along with the advent of data-centric approaches such as machine learning (ML), has transformed the landscape of thermoelectric research. …”
Get full text

Hare escape optimization algorithm with applications in engineering and deep learning by Doaa Alsamee, Reza Ramezani

“…To validate its effectiveness, HEO was tested against 29 state-of-the-art metaheuristics on 43 benchmark functions from the CEC 2015 and CEC 2020 testbeds, demonstrating superior performance in both unimodal and multimodal landscapes. …”
Get full text

SegmentR: Deep learning for automated segmentation with an R interface by James D. Boyko

“…The package includes basic visualization and data processing functions to facilitate interpretation of the results and integration with existing analytical workflows. …”
Get full text

Applications of Entropy in Data Analysis and Machine Learning: A Review by Salomé A. Sepúlveda-Fontaine, José M. Amigó

“…Therefore, we will focus on entropies defined as positive functionals on probability mass distributions and provide an axiomatic characterization that goes back to Shannon and Khinchin. …”
Get full text

Transforming Classroom Management as the Key to Increasing Student Learning Interest by Mar'atul Azizah, Ahmad Budiyono, Abd. Rozaq, Arif Rahman Hakim

“…The results showed that classroom management was implemented through planning, implementation, and evaluation functions. Planning involved meetings with teachers and staff held twice a year. …”
Get full text

Community Learning Centers in Different Economies: A Document Review by Ayesha Raza, Ghulam Fatima

“… Purpose: This research elaborates on the role of community learning centers in diverse economies and challenging situations. …”
Get full text

Robust IoT Activity Recognition via Stochastic and Deep Learning by Xuewei Wang, Shihao Wang, Xiaoxi Zhang, Chunsheng Li

“…To address these challenges, we propose a novel framework that synergizes advanced statistical signal processing with state-of-the-art machine learning and deep learning models. Our approach begins with a rigorous preprocessing pipeline—encompassing filtering and normalization—to enhance data quality, followed by the application of probability density functions and key statistical measures to capture intrinsic sensor characteristics. …”
Get full text

Task relevant autoencoding enhances machine learning for human neuroscience by Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese, Brian Odegaard, Cody Cushing, Mouslim Cherkaoui, Mitsuo Kawato, Hakwan Lau, Megan A. K. Peters

“…We benchmarked TRACE against a standard autoencoder and other models for two severely truncated machine learning datasets (to match the data typically available in functional magnetic resonance imaging [fMRI] data for an individual subject), then evaluated all models on fMRI data from 59 subjects who observed animals and objects. …”
Get full text

Evaluating Game-Based Learning in informal contexts with Data Science by Xavier Rubio-Campillo, Kevin Marín-Rubio, Celia Corral-Vázquez

“…The emergence of digital Game-Based Learning (GBL) has sparked interest in assessing its efficacy. …”
Get full text

Usability in learning management systems: A mixed-method analysis by Pembe Pelin Koca, Hakan Özcan

“…Usability analysis in software has a critical role in creating useful products for users and obtaining the necessary feedback. Learning Management Systems (LMSs) are among the most frequently used software in distance education. …”
Get full text

An Inclusive review on deep learning techniques and their scope in handwriting recognition by Sukhdeep Singh, Sudhir Rohilla, Anuj Sharma

“…For the achievement of state-of-the-art performances in diverse domains, the deep learning used different architectures and these architectures used activation functions to perform various computations between hidden and output layers of any architecture. …”
Get full text

Predicting EHL film thickness parameters by machine learning approaches by Max Marian, Jonas Mursak, Marcel Bartz, Francisco J. Profito, Andreas Rosenkranz, Sandro Wartzack

“…It is revealed that the architecture of artificial neural networks (neurons per layer and number of hidden layers) and activation functions influence the prediction accuracy. The impact of the number of training data is exemplified, and recommendations for a minimum database size are given. …”
Get full text

Self‐Learning e‐Skin Respirometer for Pulmonary Disease Detection by Anand Babu, Getnet Kassahun, Isabelle Dufour, Dipankar Mandal, Damien Thuau

“…To empower the eSR with early diagnosis functionality, self‐learning capability is further added by integrating the respirometer with the machine learning algorithms. …”
Get full text

Few-shot learning for novel object detection in autonomous driving by Yifan Zhuang, Pei Liu, Hao Yang, Kai Zhang, Yinhai Wang, Ziyuan Pu

“…To address this, we propose a few-shot learning training strategy tailored for improved detection accuracy of rare or novel objects. …”
Get full text

Quality management of mathematics learning in realizing professional teachers in madrasah by Nurul Hidayah, Nuryadin Ali Mustofa, Purwiro Harjati, Agus Pahrudin

“…Organization involves preparing teachers to manage learning activities, including providing assistance to students in need. …”
Get full text

Effects of multilevel metacognition on group performance and regulation in collaborative learning by Lifang Qiao, Wei Zhao, Fengjuan Liu, Xiaoqing Xu, Jinhong Tao

“…Less attention has been paid to how multilevel metacognition, including individual metacognition, interpersonal metacognition, and group metacognition, functions. There is also less research on whether group metacognition influences collaborative learning through other levels of metacognition. …”
Get full text

Automatically generated language learning exercises for Finno-Ugric languages by Zsanett Ferenczi

“…The learner must be able to understand the information encoded in different word forms of the same root and to generate the correct word form to express certain syntactic functions and grammatical relations by conjugating a verb or declining a noun, an adjective or a pronoun. …”
Get full text

Specifics of the Algorithmic Prescriptions in the Learning Process of the Gymnastics Exercises’ Techniques by Victor BUFTEA

“…Thus, the specificity of algorithmic prescriptions implies a set of programmed actions, which from a structural and functional point of view, are organized and carried out according to a specified manner of going through and respecting some normative principles and laws in order to achieve a concrete task. …”
Get full text