Facial emotion recognition based on VGG16 network by Cai Jing, Du Jiachen, Wang Qing, Zhou Hongren

“…In deep learning, the traditional convolutional neural network can not extract facial expression features sufficiently, and the amount of computer parameters is large, which leads to low classification accuracy. …”
Get full text

Development of Model for Traffic Flows on Urban Street and Road Network by D. V. Kapskiy, D. V. Navoy, P. A. Pegin

“…It has been planned to take into account this specific feature when increasing possibilities for algorithmization of traffic management.…”
Get full text

Guiding a supersonic controlled object in a multi-position air basing radar by V. E. Markevich, V. V. Legkostup

“…The given guidance algorithms are a generalization of the method of proportional navigation widely used in practice and its modifications. A distinctive feature of the synthesized algorithms is the natural accounting for the nonlinear, multidimensional, and multiply connected structure of the control object, as well as the parameters of unsteady perturbations (acceleration of gravity, projections of the longitudinal acceleration of the object and acceleration of the target’s maneuver) that act in the guidance process.The unified kinematic differential equations that describe the dynamics of the control object, are obtained, and they can be used to synthesize a controller that operates according to switched or smoothly matched non-stationary optimality criteria (target functions, target integral manifolds). …”
Get full text

Study of Microvessel Density and the Expression of Vascular Endothelial Growth Factors in Adrenal Gland Pheochromocytomas by Magdalena Białas, Grzegorz Dyduch, Joanna Dudała, Monika Bereza-Buziak, Alicja Hubalewska-Dydejczyk, Andrzej Budzyński, Krzysztof Okoń

Get full text

S-DCNN: prediction of ATP binding residues by deep convolutional neural network based on SMOTE by Sixi Hao, Sixi Hao, Cai-Yan Li, Xiuzhen Hu, Zhenxing Feng, Gaimei Zhang, Caiyun Yang, Huimin Hu

Get full text

An Intelligent Prediction Method of the Karst Curtain Grouting Volume Based on Support Vector Machine by Jiandong Niu, Bin Wang, Haifa Wang, Zhiwei Deng, Jianxin Liu, Zewei Li, Guanjun Chen, Botao Zhang

Get full text

A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

“…Three machine learning models were developed: the benchmark model using laboratory parameters, the multiorgan feature–based AAD complicating MMP (MAM) model based on computed tomography angiography images, and the integrated model combining both data modalities. …”
Get full text

Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…A standardized data preprocessing pipeline is constructed, including redundancy elimination, feature selection, and sample balancing, to ensure data representativeness and compatibility. …”
Get full text

BIOTECHNICAL SYSTEM FOR INTEGRATED OLFACTOMETRY DIAGNOSTICS by Yana Nosova, Oleg Avrunin, Valery Semenets

“…The developed biotechnical system is based on the use of a fundamentally new design, combining a rhinomanometer and an olfactometric nozzle with a container for an odorant. A feature of this system is also the capability to determine the energy characteristics of nasal breathing when the sensitivity threshold of the odorivector is reached. …”
Get full text

A Novel Privacy Framework for Satellite Images Based on Theory of Chaos and Chess Pieces Castle and King by Nayef Alqahtani

“…Plaintext sensitivity –a necessary feature to foil the potential differential attacks, has been achieved by taking the SHA-256 hash codes of given images. …”
Get full text

Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Hot Rolling of Steels Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Ho... by D. Szeliga, J. Foryś, J. Kusiak, R. Kuziak, R. Nadolski, M. Pietrzyk, Ł. Rauch

Get full text

Comparative analysis of machine learning models for predicting river water quality: a case study of the Zayandeh Rood River by Elham Fazel Najafabadi, Paria Shojaei, Mojgan Askarizadeh

Get full text

Optimizing sustainable blended concrete mixes using deep learning and multi-objective optimization by Rupesh Kumar Tipu, Preeti Rathi, Kartik S. Pandya, Vijay R. Panchal

Get full text

Online Tool Wear Monitoring via Long Short-Term Memory (LSTM) Improved Particle Filtering and Gaussian Process Regression by Hui Xu, Hui Xie, Guangxian Li

Get full text

Modeling of Must Fermentation Processes for Enabling CO₂ Rate-Based Control by Nicoleta Stroia, Alexandru Lodin

Get full text

Stagnation Point Flow of EMHD Micropolar Nanofluid with Mixed Convection and Slip Boundary by Shahzada Muhammad Atif, Muhammad Abbas, Umair Rashid, Homan Emadifar

“…The modelled PDEs are converted into ODEs via similarity transformation, and converted ODEs are tackled via the shooting technique. The features of assorted parameters on the axial and angular velocities and energy and concentration fields are sketched. …”
Get full text

Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging by Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo

“…Low-dose computed tomography (CT) is used to preserve bone's mechanical properties from radiation damage, though it increases noise. …”
Get full text

Lightweight deep neural network for contour detection and extraction of wheat spikes in complex field environments by Xin Xu, Haiyang Zhang, Jiangchuan Lu, Ziyi Guo, Juanjuan Zhang, Jibo Yue, Hongbo Qiao, Xinming Ma

“…The algorithm innovatively constructs a lightweight depthwise separable network (LDSNet) as backbone, balancing computational efficiency and accuracy through channel re-parameterization strategy; incorporates an Efficient Local Attention (ELA) module to build feature enhancement networks, and employs dual-path feature fusion mechanisms to strengthen edge texture responses, significantly improving discrimination of overlapping spikes and complex backgrounds. …”
Get full text

INTEGRATING ACOUSTIC MODULATION AND LISTENER DEMOGRAPHICS FOR ENHANCED PODCAST EMOTIONAL RESONANCE by Jun Ji, Kotchaphan Youngmee, Khachakrit Liamthaisong, Narisara Brikshavana

“…The research contradicts conventional views in previous studies by including an overall framework for the improvement of auditory features in podcasts. The underlying framework combines analytical methods, computational modelling, and machine learning in order to systematically enhance audio quality and consequently increase listener engagement.  …”
Get full text

Transformation of Digital Health: Advancing Telerehabilitation with Smartwatch Technology by Marwa Asim, Muhammad Ehab Azim, Furqan Ahmed Siddiqi, Farooq Azam Rathore

“…Monitoring of vitals like heart rate, blood pressure, and oxygen saturation, has been made possible by the help of smartwatches. These features provide the wearer with a real-time picture of their health. …”
Get full text