Intellectual code analysis in automation grading by Denys Seliutin, Elena Yashyna

“…The research subjects are methods of the programming code evaluation during distance learning. The methods used are: tree classification code analysis and graph traversing methods adopted for the tree linearization goal. …”
Get full text

An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Figure (10) shows the correspondence of the neural network model for the testing samples and their associated locations for the actual samples (left graph) and the training samples (right graph).  There is a very high correspondence between the left graph (real localities) and the right graph (estimated localities). …”
Get full text

Outdoor physical activity in traditional and newly designed preschools: a cross-sectional study by Andreas Fröberg, Therese Eskilsson, Annika Manni, Jonas Markström

“…Abstract Background Outdoor time and play are crucial for children’s learning and development, impacting various physical, cognitive, and social aspects of their well-being and socio-emotional growth. …”
Get full text

Deep Generative Modeling Based on VAE-GAN for 3D Indoor Scene Synthesis by Shuai Li, Hongjun Li

“…Addressing this need, this paper presents a method leveraging a VAE-GAN-based framework to conquer two primary challenges in 3D scene representation and deep generative networks. …”
Get full text

2D Spatiotemporal Hypergraph Convolution Network for Dynamic OD Traffic Flow Prediction by Cheng Fang, Li Wang

“…Predicting origin-destination (OD) flow presents a significant challenge in intelligent transportation due to the intricate dynamic correlations between starting points and destinations. …”
Get full text

An Efficient Recommendation Algorithm Based on Heterogeneous Information Network by Ying Yin, Wanning Zheng

“…Therefore, this paper proposes an efficient recommendation algorithm based on heterogeneous information network, which uses the characteristics of graph convolution neural network to automatically learn node information to extract heterogeneous information and avoid errors caused by the manual search for metapaths. …”
Get full text

Evaluation of the implementation of the Kurikulum Merdeka at SMAN 14 Bandung by F. Furqanisah, Zainal Arifin

“…Data was collected through questionnaires and observations, then analyzed statistically using the mean and presented in graphs to facilitate understanding of the patterns. …”
Get full text

FIORA: Local neighborhood-based prediction of compound mass spectra from single fragmentation events by Yannek Nowatzky, Francesco Friedrich Russo, Jan Lisec, Alexander Kister, Knut Reinert, Thilo Muth, Philipp Benner

“…Augmenting these libraries with simulated mass spectra can provide the necessary references to resolve unmatched spectra, but generating high-quality data is difficult. In this study, we present FIORA, an open-source graph neural network designed to simulate tandem mass spectra. …”
Get full text

Real-time monitoring of military health and readiness: a perspective on future research by Herman J. de Vries, Sija J. van der Wal, Roos Delahaij, Ward Venrooij, Wim Kamphuis

Get full text

La estrategia clínica matemática en el aprendizaje del cálculo en estudiantes del primer semestre de comercio internacional by Edgar Mauricio Perozo-León, Jhan Piero Rojas-Suarez, Martha Cecilia Santiago Carrillo

“…This article presents the results of a study titled "Influence of the Clinical Mathematical Strategy on the Advising and Learning of Calculus in International Trade Students." …”
Get full text

Computationally Efficient Minimum-Time Motion Primitives for Vehicle Trajectory Planning by Mattia Piccinini, Simon Gottschalk, Matthias Gerdts, Francesco Biral

“…This paper introduces new motion primitives for autonomous racing, aiming to accurately approximate the minimum-time vehicle trajectories while ensuring computational efficiency. We present a novel neural network, named PathPoly-NN, whose internal architecture is designed to learn the minimum-time vehicle path. …”
Get full text

Assessment of the Correspondence Between User Needs and Classroom Design Criteria for Pre-Schoolers with Autism Spectrum Disorder in Turkey by ABDALLAH Luqmaan Fihri, ERÇİN Çilen

“…The collected responses were inputted into Microsoft Excel for analysis. Graphs were generated to visually represent the patterns and trends within the data. …”
Get full text

Recent Advancement in Small Traffic Sign Detection: Approaches and Dataset by R. Suresha, N. Manohar, G. Ajay Kumar, M. Rohit Singh

“…The analysis focuses on how various deep learning models perform on these standard datasets, presenting the results in tables and comparative bar graphs. …”
Get full text

Drawing a Scientific Map and Analyzing the Co-occurrence Network of Master's Dissertations and Doctoral Theses in Mathematics Education at Iranian Universities by Vahideh Soleymani Rad, Younes Karimi Fardinpour, Mohammad Hassan Behzadi, Ahmad Shahvarani Semnani

“…Following that, mathematical education, problem-solving, learning, and various teaching methods have influenced the subjects of theses more. …”
Get full text

A novel diagnostic and prognostic approach for unresponsive patients with anthroponotic cutaneous leishmaniasis using artificial neural networks. by Mehdi Bamorovat, Iraj Sharifi, Esmat Rashedi, Alireza Shafiian, Fatemeh Sharifi, Ahmad Khosravi, Amirhossein Tahmouresi

“…To categorize the patients, different classifier models such as k-nearest neighbors (KNN), support vector machines (SVM), multilayer perceptron (MLP), learning vector quantization (LVQ) and multipass LVQ were applied and compared for this supervised learning task. …”
Get full text

Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review by Yasmin Abdelaal, Michaël Aupetit, Abdelkader Baggag, Dena Al-Thani

“…The outputs of explainability methods are commonly presented visually, often in the form of graphs or user-friendly reports. …”
Get full text

Pengembangan Gim Simulasi Kehidupan untuk Peningkatan Literasi Grafik Menggunakan Framework DPE by Erico Silitonga, Eriq Muhammad Adams Jonemaro, Muhammad Aminul Akbar

“…Abstract  Graphic literacy is the ability to understand and interpret information presented in graphical form. Based on a survey conducted by Tiro on 155 students at Makassar State University, it was found that the level of understanding of the concept of tables and graphs was only 43%, besides that, there was also research conducted by Mustain on 59 students who were in grade 8 junior high school, in his research, it was found that less than 15% of the 59 students had sufficient scores to get the Minimum Mastery Criteria score in learning graphics. …”
Get full text

Análisis de las causas de deserción de los estudiantes de la facultad de ingenierías del instituto tecnológico metropolitano (ITM) by Julián Andrés Ramírez Arenas, León Darío Orrego Espejo

“…The dashboard is then constructed, where the results are presented in a precise and understandable manner using graphs, tables, and visualizations. …”
Get full text

Characteristics of Student-Led Clinics in the Allied Health Professions: Protocol for a Scoping Review by Sandra Robertson, Katie Thomson, Katrina Bannigan

“…Data extraction will be conducted by 2 reviewers using a piloted data extraction tool, and data will be charted and tabulated using the Template for Intervention Description and Replication (TIDieR) checklist. Data will be presented with a narrative summary and illustrated by graphs and figures. …”
Get full text

Defining and Analyzing Nervousness Using AI-Based Facial Expression Recognition by Hyunsoo Seo, Seunghyun Kim, Eui Chul Lee

“…Furthermore, we perform a qualitative analysis using action unit (AU) activation graphs to provide deeper insight into nervous facial expressions. …”
Get full text