A New Three Dimensional Chaotic Dynamical System and Digital Image Encryption Method by SUN Guang-ming, HUANG Jin-jie, ZHANG Yu

“…Aiming at the problem of information security of digital image, this paper proposes a new three dimensional autonomous chaotic system, indepth research and Simulation on its dynamic characteristics through several basic aspects, confirmed that the system has the feature of chaos. …”
Get full text

Primary incidence of dermatoses in the Selkups — one of the people of the Polar region (settled and nomadic population) by A. V. Tsay, Yu. E. Rusak, E. N. Efanova

“…The incidence of dermatoses of the peoples of the North is closely related to the way of life, traditional trades (reindeer husbandry, fishing, gathering wild plants), the impact of adverse climatic factors, as well as the influence of industrial enterprises on the fragile nature of the North. Along with the problem of anthropogenic and technogenic pollution of the environment in most regions of the North, there is also the problem of the widespread occurrence of various biogeochemical anomalies, among which the leading place belongs to natural iodine deficiency and the widespread occurrence of iodine deficiency diseases. …”
Get full text

A self-growth convolution network for thermal and mechanical fault detection with very limited engine data by Gou Xin, Zhu Xiaolong, Wang Xinwei, Wang Hui, Zhang Junhong, Lin Jiewei

“…The results indicate a novel path to solve the data-limitation problem in the PHM of important power machinery.…”
Get full text

Comprehensive Performance Assessment of Multi-Neural Ensemble Model for Mortality Prediction in ICU by M. Fathima Begum, Subhashini Narayan

“…This paper aims to address the missing data using advanced imputation algorithm like single center imputation from multiple chained equation (SICE) and synthetic minority oversampling technique with edited nearest neighbor (SMOTE-ENN) method is used to solve the imbalanced data problem. Wrapper-based genetic feature selection method is used for the feature selection. …”
Get full text

Neural quantum kernels: Training quantum kernels with quantum neural networks by Pablo Rodriguez-Grasa, Yue Ban, Mikel Sanz

“…Quantum embeddings encode classical data into quantum feature states, enabling the construction of embedding quantum kernels (EQKs) by measuring vector similarities and projected quantum kernels (PQKs) through projections of these states. …”
Get full text

Enhancing Vertical Application and Network Co-Design: A Solution for Multipath Channel Switching in ROS2 With 3GPP Integration by Geza Szabo

“…To illustrate the problem, we present a design for multipath channel switching in Robot Operating System 2 (ROS 2), a feature not natively supported. …”
Get full text

Managing Intangible Assets as a Driver for Growth and Development of Industrial Enterprise by O. A. Elina, O. N. Bykova

“…As a rule this feature is typical of enterprises of the highly-technological sector. …”
Get full text

APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX by WANG ChaoGe, LIU TongTong, REN XuePing, ZHANG HaoDong, WANG JianGuo

“…Aiming at the problem that early fault characteristic signal of bearing in gear box is weak and affected by the environmental noise seriously,which makes the fault feature information is difficult to identify,a early fault diagnosis method of gear box is proposed based on dual-tree complex wavelet transform and minimum entropy deconvolution. …”
Get full text

Broadcasting in Stars of Cliques and Path-Connected Cliques by Akash Ambashankar, Hovhannes A. Harutyunyan

“…Additionally, we broaden the scope by examining the broadcasting problem in path-connected cliques, a topology featuring <i>k</i> cliques of varying sizes sequentially connected along a path. …”
Get full text

Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal by Soojeong Lee, Mugahed A. Al-antari, Gyanendra Prasad Joshi, Yeong Hyeon Gu

“…Hence, we apply ML models by mixing artificial feature curves generated using a bootstrap model with the original feature curves to estimate RRs and solve this problem. …”
Get full text

RT-DETR-Pro: An Enhanced RT-DETR Model for Visual Detection of Photovoltaic Module Defects by Yunliang Chen, Mingtao Shan, Wei Zhou, Bing Ma, Xun Mei

“…Firstly, an EMA (Efficient Multi-Scale Attention) module is integrated into the vanilla RT-DETR model to optimize feature representation by reshaping the channel and batch dimensions of feature maps. …”
Get full text

Evaluating a double integral using Euler's method and Richardson extrapolation by Justin Steven Calder Prentice

“… We transform a double integral into a second-order initial value problem, which we solve using Euler's method and Richardson extrapolation. …”
Get full text

State of Charge Prediction for Electric Vehicles Based on Integrated Model Architecture by Min Wei, Yuhang Liu, Haojie Wang, Siquan Yuan, Jie Hu

“…To mitigate multicollinearity and nonlinear feature redundancies, a Pearson-DII-based feature extraction method is proposed. …”
Get full text

Outlier Handling Strategy of Ensembled-Based Sequential Convolutional Neural Networks for Sleep Stage Classification by Wei Zhou, Hangyu Zhu, Wei Chen, Chen Chen, Jun Xu

“…These outliers may introduce bias during model training, adversely affecting feature selection and diminishing model performance. …”
Get full text

Problematic issues and development of classifications of the main parameters of quality and adherence to pharmacotherapy. Part I: Patient adherence to treatment by Yu. V. Lukina, N. P. Kutishenko, S. Yu. Martsevich, O. M. Drapkina

“…The problem of patient adherence to treatment remains one of the most relevant for healthcare in most countries of the world. …”
Get full text

MEF-CAAN: Multi-Exposure Image Fusion Based on a Low-Resolution Context Aggregation Attention Network by Wenxiang Zhang, Chunmeng Wang, Jun Zhu

“…However, most existing multi-exposure image fusion methods have insufficient feature extraction ability for recovering information and details in extremely exposed areas. …”
Get full text

A LiDAR - camera fusion detection method based on weight allocation by Kang Haotian, Wang Tianshu

“…In automatic driving target detection problem, the neural network is applied to two methods, vision, and LiDAR. …”
Get full text

A Non-Convex Partition of Unity and Stress Analysis of a Cracked Elastic Medium by Won-Tak Hong

“…The partition of unity that we use has a unique feature: the mapped partition of unity has a curved shape in the physical coordinate system. …”
Get full text

Research on HMM based link prediction method in heterogeneous network by Rong QIAN, Jianting XU, Kejun ZHANG, Hongyu DONG, Fangyuan XING

“…In order to solve the problem that incomplete mining of structural information and semantic information in heterogeneous networks, a link prediction method combining meta-path-based analysis and hidden Markov model was proposed for link prediction of heterogeneous network.Considering that clustering could effectively capture the structural information of heterogeneous network, the k-means algorithm was improved to obtain the initial clustering center method based on the minimum distance mean square error, and it was applied to the hidden Markov model, first-order cluster hidden markov model (C-HMM⁽¹⁾) link prediction method, and a link prediction method for heterogeneous network with second-order cluster hidden Markov model (C-HMM⁽²⁾) were designed.Further, considering the feature information of the data, a link prediction method called ME-HMM that combined the maximum entropy model and the second-order Markov model was proposed.The experimental results show that the ME-HMM has higher link prediction accuracy than the C-HMM, and the ME-HMM method has better performance than the C-HMM method because it fully considers the feature information of the data.…”
Get full text

Maximizing Measurement Visual-Inertial Odometry for Low-Light Environment Through Online Image Pre-Processing by Suyong Lee, Hanyeol Lee, Chan Gook Park

“…This can adversely affect the extraction and tracking of feature points, resulting in insufficient measurements. …”
Get full text