Comparative assessment of the state of digitalisation in higher education institutions by N. I. Aksenova, O. V. Usacheva, M. K. Chernyakov

“…On the basis of the morphological matrix, the rating of a higher education institution was formed as an integral assessment, taking into account the weight values of its spheres. …”
Get full text

Voltage unbalance assessment in a distribution system incorporated with renewable‐based sources and electric vehicles in an uncertain environment by Nandini K. K., Jayalakshmi N. Sabhahit, Vinay Kumar Jadoun

“…The proposed problem is solved using two different optimization methods i.e., a modified version of JAYA and whale optimization algorithm (WOA) using MATLAB software. The modified WOA outperforms the other optimization method and the existing literature in minimizing the % VUF and VRP index in case 2 operation, with values of 1.7 and 8.89 respectively. …”
Get full text

LoD2 Building Reconstruction from Stereo Satellite Imagery using Deep Learning and Model-Driven Approach by Rojgar Qarani Ismael, Haval Sadeq

“…The best performance of deep learning algorithms (U-Net, FCN, and Mask R-CNN) for building boundary segmentation was selected and then integrated with model-driven technique for the purpose of accurate geometric building fitting employing digital surface model (DSM) generated by semi global matching. …”
Get full text

COMPLEXING IMAGES IN A TWO-CHANNEL OPTICAL-ELECTRONIC SYSTEM AS A METHOD OF REDUCING THE PROBABILITY OF DISAPPOINTING AN AUTOMATIC SURVEILLANCE OF LOW CONTRAST OBJECTS by A. V. Khizhniak

“…The paper discusses the work of the correlation algorithm for automatically tracking objects of interest in a two-channel optical-electronic system in a complex background-target environment and the presence of intentional interference. …”
Get full text

Intelligent diagnosis of thyroid nodules with AI ultrasound assistance and cytology classification by Xiaojuan Cai, Ya Zhou, Jie Ren, Jinrong Wei, Shiyu Lu, Hanbing Gu, Weizhe Xu, Xun Zhu

“…We developed five AI models using distinct classification algorithms (Logistic Regression, Support Vector Machine, K-Nearest Neighbor, Random Forest, and Gradient Boosting Machine) that integrate demographic data, cytological findings, and an AI-assisted ultrasound diagnostic system for thyroid nodule assessment. …”
Get full text

Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases by Huai-wen Zhang, Yi-ren Wang, Bo Hu, Bo Song, Zhong-jian Wen, Lei Su, Xiao-man Chen, Xi Wang, Ping Zhou, Xiao-ming Zhong, Hao-wen Pang, You-hua Wang

“…By using various machine-learning algorithms, including random forest, support vector machine, gradient boosting machine, XGBoost, decision tree, artificial neural network, k-nearest neighbors, LightGBM, and CatBoost algorithms, a stacking ensemble model was developed to classify gross tumor volume (GTV), brainstem, and normal brain tissue based on radiomic features. …”
Get full text

Optimization of Laser-Induced Hybrid Hardening Process Based on Response Surface Methodology and WOA-BP Neural Network by Qunli Zhang, Jianan Ling, Zhijun Chen, Guolong Wu, Zexin Yu, Yangfan Wang, Jun Zhou, Jianhua Yao

“…The laser-induced hybrid hardening process integrates laser quenching and electromagnetic induction heating to overcome traditional heat treatment limitations, enhancing the depth and properties of hardened layers for applications like wind turbine bearings. …”
Get full text

METRICS FOR DYNAMIC SCALING OF DATABASE IN CLOUDS by Alexander V. Boichenko, Dmitry K. Rogojin, Dmitry G. Korneev

“…In the article are analyzed different types of metrics and are included the basic metrics that characterize the functioning parameters and database technology, as well as sets the goals of the integral metrics, necessary for the implementation of adaptive algorithms for dynamic scaling databases in the cloud infrastructure. …”
Get full text

Analytical Solution of Fractional Oldroyd-B Fluid via Fluctuating Duct by Ying Qing Song, Aamir Farooq, Muhammad Kamran, Sadique Rehman, Muhammad Tamoor, Rewayat Khan, Asfand Fahad, Muhammad Imran Qureshi

“…This investigation focuses on the mixed initial boundary value problem with Caputo fractional derivatives. …”
Get full text

Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Methods: An automatic extraction method of APT attack knowledge that integrates entity recognition and entity alignment is designed. …”
Get full text

Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Methods: An automatic extraction method of APT attack knowledge that integrates entity recognition and entity alignment is designed. …”
Get full text

Automatic Controversy Detection Based on Heterogeneous Signed Attributed Network and Deep Dual-Layer Self-Supervised Community Analysis by Ying Li, Xiao Zhang, Yu Liang, Qianqian Li

“…We introduce a deep dual-layer self-supervised algorithm for community detection and analyze controversy within this network. …”
Get full text

Digitized Cursive Handwriting for Determining FMS in Early School-Age Children by Nurul Zainal Fanani, Ika Widiastuti, Khamid, Laszlo T. Koczy

“…The data recording process generated substantial raw datasets. The random forest algorithm, renowned for its effectiveness in analyzing large datasets, was employed for classification. …”
Get full text

Graph convolution-based adaptive feature fusion method for MRI brain tumor segmentation by Ye ZHANG, Muqing ZHANG, Xuegang YUAN, Datian NIU

“…To address the issues of insufficient global information capture and inadequate deep semantic information fusion in the U-Net model for MRI brain tumor segmentation,a novel brain tumor segmentation network,ASGU-Net was proposed. The algorithm was based on 3D U-Net,incorporating a graph convolution inference module to capture additional long-range contextual features. …”
Get full text

Vase-Life Monitoring System for Cut Flowers Using Deep Learning and Multiple Cameras by Ji Yeong Ham, Yong-Tae Kim, Suong Tuyet Thi Ha, Byung-Chun In

“…Here, we developed a vase-life monitoring system (VMS) to automatically and accurately assess the post-harvest quality and vase life (VL) of cut roses. The VMS integrates camera imaging with the YOLOv8 (You Only Look Once version 8) deep learning algorithm to continuously monitor major physiological parameters including flower opening, fresh weight, water uptake, and gray mold disease incidence. …”
Get full text

Development of a machine learning-derived dendritic cell signature for prognostic stratification in lung adenocarcinoma by Fang Zhou, Fang Zhou, Meng Wang, Meng Wang, Zheng Wang, Zheng Wang, Wei Li, Wei Li, Xike Lu, Xike Lu

“…While dendritic cells (DCs) are essential mediators of antitumor immunity, their transcriptional diversity and prognostic value in LUAD remain underexplored.MethodsWe constructed a cellular atlas by integrating single-cell RNA sequencing (scRNA-seq) data from LUAD and normal tissues, emphasizing dendritic cells. …”
Get full text

Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson’s disease patients by Yandong lian, Yibin Xu, Linlin Hu, Yuguo Wei, Zhaoge Wang

“…Additionally, multi-factor logistic regression analysis identified clinical predictors associated with PD-RBD, and these clinical features were integrated with the radiomics signatures to develop predictive models using various machine learning algorithms. …”
Get full text

Power Adaptation for Optimizing Secrecy Energy Efficiency in NOMA-Enabled Underlay Cognitive Radio Networks and DNN-Based Evaluation by P. P. Hema, A. V. Babu

“…The concept of secrecy energy efficiency (SEE) efficiently tackles the challenge of integrating energy-efficient and secure communications. …”
Get full text

A dynamic risk assessment model for network systems by Hongbin ZHANG, Jiamei MI, Jun ZUO, Bin LIU

“…Firstly,system topology information,open source component information,and vulnerability information were integrated to build a knowledge graph of open source risk propagation; Secondly,a threat path generation algorithm was designed based on knowledge graphs to acquire threat paths,and the potential risks of each threat path were evaluated to identify the most likely threat path; Finally,the idea of stochastic game theory was introduced to establish NSRAM-RG,a risk assessment model of network system based on risk game,to analyze the game behaviors of the attacker and defender regarding the most likely threat path. …”
Get full text

A novel hybrid model based on MPA-VMD, QRMGM and KDE for carbon price prediction by Dabin Zhang, Yufeng Ye, Yongmei Fang, Jing Zhou

“…Thirdly, the MGM was integrated with quantile regression (QR) to predict the conditional quantiles of each subsequence. …”
Get full text