Graph Attention Neural Network Model With Behavior Features for Knowledge Tracking by Wei Zhang, Sen Hu, Kaiyuan Qu

“…The existing deep knowledge tracking models ignore the students’ behavior features and the high-order relationship between and questions with overlapping skills in the learning process. As a result, the models cannot learn the complete learning track of students and the dependence between students’ historical answer records and questions, which affect the predictive performance of the model. …”
Get full text

Non-invasive prediction of cholesterol levels from photoplethysmogram (PPG)-based features using machine learning techniques: a proof-of-concept study by Erick Javier Argüello-Prada, Angie Vanessa Villota Ojeda, María Yoselin Villota Ojeda

“…Several variations of linear regressions (LR), regression trees (RT), support vector regressions (SVR), and Gaussian process regressions (GPR) were trained with the most relevant features. …”
Get full text

PROPERTIES OF GROUPS G OF DOUBLE ERRORS AND ITS INVARIANTS IN BCH CODES by V. A. Lipnitskij, A. V. Serada

“…The group Г of the cyclical shift of vector component lies at the core of the theory. Under its action The error vectors are divided into disjoint Г-orbits with definite spectrum of syndromes. …”
Get full text

Development and Practice of Cloud Collaborative Platform for Downhole Measurement Tools by Che Yang, Yuan Guangjie, Qian Hongyu, Du Weiqiang, Wang Chenlong, Ding Jiping

“…In the paper， based on the remote operation requirements of coreless magnetic steering tool， a platform architecture of five modules， including simulation rehearsal， virtual training， remote operation， smart tool and intelligent decision， was designed in detail， achieving a whole process digitization from predrilling risk assessment and in-drilling acquisition and processing to post-drilling feedback and optimization， and a visual interface was developed. …”
Get full text

Green Nano-Biotechnology: A New Sustainable Paradigm to Control Dengue Infection by Tanzeel Zohra, Ali Talha Khalil, Faryal Saeed, Bushra Latif, Muhammad Salman, Aamer Ikram, Muhammad Ayaz, H. C. Ananda Murthy

“…Metal nanoparticles (NPs) synthesized by an eco-friendly process, through extracts of medicinal plants have indicated potential anti-dengue applications. …”
Get full text

A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis by Haoming Liang, Fuqing Zhao, Tianpeng Xu, Jianlin Zhang

“…This study proposes a method for generating benchmark functions tailored to single-objective continuous optimization problems with boundary constraints using predefined ELA feature vectors to guide their construction. The process begins with the creation of random decision variables and corresponding objective values, which are iteratively adjusted using the covariance matrix adaptation evolution strategy (CMA-ES) to ensure alignment with a target ELA feature vector within a specified tolerance. …”
Get full text

The Study of Biodesulfurization Activity in Recombinant E. coli Strain by Cloning the dsz Genes Involve in 4S Pathway by Jamshid Raheb

“…In this study the pVLT31 vector harboring dszABC genes was transferred into recombinant E. coli BL21 which contained the dszD gene previously. …”
Get full text

Human-machine collaboration: Ordering mechanism of rank-2 spin liquid on breathing pyrochlore lattice by Nicolas Sadoune, Ke Liu, Han Yan, Ludovic D. C. Jaubert, Nic Shannon, Lode Pollet

“…These results were obtained by a back-and-forth process which closely resembles a collaboration between human researchers and machines. …”
Get full text

Development of hybrid robust model based on computational modeling and machine learning for analysis of drug sorption onto porous adsorbents by S. Tasqeeruddin, Shaheen Sultana, Abdulrhman Alsayari

“…., Kernel Ridge Regression (KRR), nu-Support Vector Regression ( $$\:{\upnu\:}$$ -SVR), and Polynomial Regression (PR) for the purpose of forecasting the concentration (C) of a drug within a specified environment, relying on the coordinates (x and y). …”
Get full text

State of Health Estimation for Lithium-Ion Batteries Using Electrochemical Impedance Spectroscopy and a Multi-Scale Kernel Extreme Learning Machine by Jichang Peng, Ya Gao, Lei Cai, Ming Zhang, Chenghao Sun, Haitao Liu

“…In addition, compared with support vector regression (SVR) and Gaussian process regression (GPR), the proposed method reduces computational time by factors of 4 to 30 and lowers memory usage by approximately 18%.…”
Get full text

Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model by Songsong Wang, Bo Peng, Ouguan Xu, Yuntao Zhang, Jun Wang

“….), use a short-term prediction window and loop multi-step input method to improve the Machine Learning (ML) regression models’ accuracy, which can reduce the ML model’s process error. The non-ensemble and ensemble ML regression models is constructed for forecasting by loop multi-step, the non-ensemble models including Linear Regression (LR), Support Vector Machine Regression (SVMR) and k-Nearest Neighbors Regression (k-NNR), and the ensemble ML models include Random Forest Regression (RFR) and Gradient Boosting Regression (GBR). …”
Get full text

Design of performance evaluation method for higher education reform based on adaptive fuzzy algorithm by Dakun Yang, Muhammad Sheraz Arshad Malik

“…A total of 16 sub-indicators are incorporated into the evaluation framework. To optimize data processing and reduce redundancy, factor analysis is applied, simplifying the indicator set while maintaining the integrity and effectiveness of the evaluation process. …”
Get full text

XNODE: A XAI Suite to Understand Neural Ordinary Differential Equations by Cecília Coelho, Maria Fernanda Pires da Costa, Luís L. Ferrás

“…However, Neural ODEs are black-box models, posing challenges in interpreting and understanding their decision-making processes. This raises concerns about their application in critical domains such as healthcare and autonomous systems. …”
Get full text

The Great Arab Revolt, Palestine and a Phoenicianist Civilizing Mission: Transregional Debates in the Mexican Mahjar Press by Camila Pastor de Maria Campos

“…They ceased to be understood through an Ottoman history of coexistence of religious traditions in the Mashriq, resignified as a homogeneous people, vector of the imperialist project of European Zionism. …”
Get full text

Comparative use of different AI methods for the prediction of concrete compressive strength by Mouhamadou Amar

“…Concrete mix design requires specialized knowledge and techniques for characterization. However, this process is time-consuming, and the mechanical properties, such as strength, can vary due to factors like cement type, water content, aggregates, and curing time. …”
Get full text

Standardized Extraction of Air Traffic Control Hazard Features Based on Expert Knowledge by Xianghua Tan, Zhipeng Cai, Zhibin Quan, Weili Zeng

“…We illustrate the model training process using communication navigation and surveillance (CNS) data, which includes candidate feature generation, feature vectorization, and cluster-based standardization. …”
Get full text

Evaluating the Effectiveness of Coxal Bone Measurements for Sex Estimation via Machine Learning by Diana Toneva, Silviya Nikolova, Gennady Agre, Nevena Fileva, Georgi Milenov, Dora Zlatareva

“…The pelvis is the most dimorphic part of the human skeleton, primarily because of its involvement in the birth process. Many sexually dimorphic traits are concentrated in the coxal bones, which form the larger part of the birth canal. …”
Get full text

Stabilization of bonding force during ultrasonic wire and ribbon bonding by Igor Petuhov

“…The bonding force during bonding is compensated in the same way, with the difference that the vector of force compensation changes – the force should increase with an increase in the deformation of the bonding wire. …”
Get full text

Psychotherapist remarks’ ML classifier: insights from LLM and topic modeling application by Alexander Vanin, Vadim Bolshev, Anastasia Panfilova

“…The implementation involves constructing a vector space of therapist remarks, applying dimensionality reduction, clustering, and optimizing topic representations. …”
Get full text

Scanning Micromirror Calibration Method Based on PSO-LSSVM Algorithm Prediction by Yan Liu, Xiang Cheng, Tingting Zhang, Yu Xu, Weijia Cai, Fengtian Han

“…However, in practical applications, several factors inherent to the fabrication process and the surrounding usage environment exert a considerable influence on the accuracy of measurements obtained with the micromirror. …”
Get full text