JThermodynamicsCloud: Cloud-based tool for temperature dependent thermodynamic calculations using group additivity rules and data management by Edward S. Blurock

“…The techniques outlined here are particularly useful for calculations where several sets of information are combined to perform a calculation and where the data is continually being updated. …”
Get full text

Enhanced Localisation and Handwritten Digit Recognition Using ConvCARU by Sio-Kei Im, Ka-Hou Chan

“…This ensures the enhanced extraction and preservation of spatial and temporal features through convolution-based gating and adaptive fusion mechanisms. …”
Get full text

Real time counting method for coal mine drill pipes based on deep learning by Fukai ZHANG, Yiran SUN, Xufeng WU, Aijun LI, Peiyang LI, Dengke WANG, Guan YUAN, Shan ZHAO, Haiyan ZHANG

“…Firstly, collect the working video of the drilling rig from the real monitoring footage of the coal mine underground, annotate and construct the Coal Mine drill Pipe Counting image dataset CMDPC; Then, an improved drilling rig recognition model Drill-YOLOv8 is constructed, which enhances the feature extraction ability of the backbone network for drilling rig targets by introducing triplet attention. …”
Get full text

The teams’ formation in sport aerobics on the basis of application of multidimensional analysis methods by Zh.L. Kozina, T.V. Shepelenko, Miroslawa Cieslicka, Katarzyna Prusik, Radoslaw Muszkieta, A.V. Osiptsov, V.M. Kostiukevych, T.A. Bazilyuk, I.N. Sobko, O.A. Ryepko, S.B. Polishchuk, A.S. Ilnickaya

“…The mathematical and visual models of each group of athletes were developed. The cluster analysis permitted selection of 8 groups of girls. …”
Get full text

Indicators of insulin resistance as predictors of 28-day mortality in patients with VA-ECMO: a retrospective study by You Zhou, Zhi Cheng, Pingping Gu, Yu Zhang, Wanying Xu, Xin Wang

“…Five core predictors were determined through multi-method screening: Sequential Organ Failure Assessment (SOFA) score, TyG, TG/HDL-C, hypertension, and diabetes. The joint model performed excellently in both the training set and the validation set (Training set: area under curve (AUC) = 0.923, C index = 0.847, NRI = 0.699, IDI = 0.175); Validation set: AUC = 0.901, C index = 0.846, NRI = 0.574, IDI = 0.148), and the DCA and calibration curve show its good efficacy.ConclusionInsulin resistance indicators (TyG, TG/HDL-C) can independently and gradually predict the risk of death in patients with VA-ECMO. …”
Get full text

The class project of cyber-driver by P. S. Sorokoumov

“…In robotic perception models the situation is similar: casual human tasks as image recognition or scene analysis need complex algorithms and huge computer resources if performed by robots. …”
Get full text

Overview of Computational Toxicology Methods Applied in Drug and Green Chemical Discovery by Jose I. Bueso-Bordils, Gerardo M. Antón-Fos, Rafael Martín-Algarra, Pedro A. Alemán-López

“…Currently, there are numerous commercially available and free web-based programs for toxicity prediction, which can be used to construct various predictive models. The key features of the QSAR method are also outlined, and the selection of appropriate physicochemical descriptors is a prerequisite for robust predictions. …”
Get full text

Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

“…Employing analysis and cross-validation, we found that XGBoost performed the best, followed by random forests and neural networks, and stepwise regression performed the worst. …”
Get full text

Maize tasseling date forecast from canopy height time series estimated by UAV LiDAR data by Yadong Liu, Chenwei Nie, Liang Li, Lei Shi, Shuaibing Liu, Fei Nan, Minghan Cheng, Xun Yu, Yi Bai, Xiao Jia, Liming Li, Yali Bai, Dameng Yin, Xiuliang Jin

“…The results showed that using the 99th percentile of plot scale digital surface model and the minimum digital terrain model from LiDAR to estimate maize CH was the most stable across treatments and stages (R2: 0.928 to 0.943). …”
Get full text

Large-scale urban building function mapping by integrating multi-source web-based geospatial data by Wei Chen, Yuyu Zhou, Eleanor C. Stokes, Xuesong Zhang

“…The data products generated from this study are of great use for quantitative city-scale urban studies, such as building energy use modeling at the single building level over large areas.…”
Get full text

Deep learning techniques for speech emotion recognition: A review by Silviana Widya Lestari, Saliyah Kahar, Trismayanti Dwi

“…Complex deep learning models, for instance the CNN-RNN combination, can extract relevant acoustic features and produce accurate results in recognizing emotion from speech. …”
Get full text

Regulatory Barriers in Digital Mergers and Acquisitions: Antitrust Regulation of Technology Secto by K. Afuwape

“…Objective: to determine the nature and degree of influence of the antimonopoly legislation of the European Union and the USA on mergers and acquisitions in the technology sector.Methods: the work uses a comparative and interdisciplinary approach combining legal analysis and economic modeling. The author performed a comparative analysis of the legislation of the European Union and the US, summarized antimonopoly regulation practices, and considered doctrinal sources and modern empirical data. …”
Get full text

Computer-Aided Facial Soft Tissue Reconstruction with Computer Vision: A Modern Approach to Identifying Unknown Individuals by Svenja Preuß, Sven Becker, Jasmin Rosenfelder, Dirk Labudde

“…To evaluate this subjective impression, we performed quantitative analyses using three face recognition models (Dlib-based method, VGG-Face, and GhostFaceNet). …”
Get full text

Stability Assessment of the Tepehan Landslide: Before and After the 2023 Kahramanmaras Earthquakes by Katherine Nieto, Noha I. Medhat, Aimaiti Yusupujiang, Vasit Sagan, Tugce Baser

“…Slope stability analyses were conducted over a representative alignment, including assessments of soil structure, geological history, and field features. A limit equilibrium back-analysis was performed under both static and pseudo-static conditions, where an earthquake load coefficient was considered in the analyses. …”
Get full text

CAFR-Net: A transformer-contrastive framework for robust spinal MRI segmentation via global-local synergy. by Rui Ma, Xuegang Dai, Zuochao Yang, Zhixiong Wei, Bin Zhang

“…The architecture integrates (1) a multi-scale Transformer encoder for long-range dependency modeling, (2) a Locally Adaptive Feature Recalibration (LAFR) module that reweights feature responses across spatial-channel dimensions, and (3) a Contrastive Learning-based Regularization (CLR) scheme enforcing pixel-level semantic alignment. …”
Get full text

Probing Autism and ADHD subtypes using cortical signatures of the T1w/T2w-ratio and morphometry by Linn B. Norbom, Bilal Syed, Rikka Kjelkenes, Jaroslav Rokicki, Antoine Beauchamp, Stener Nerland, Azadeh Kushki, Evdokia Anagnostou, Paul Arnold, Jennifer Crosbie, Elizabeth Kelley, Robert Nicolson, Russell Schachar, Margot J. Taylor, Lars T. Westlye, Christian K. Tamnes, Jason P. Lerch

“…Linear models revealed no statistically significant case-control differences in T1w/T2w-ratio. …”
Get full text

Numerical and Experimental Modal Analysis Applied to an Optical Test System Designed for the Form Measurements of Metre-Scale Optics by P. G. Golanó, L. Zanotti Fragonara, P. Morantz, R. Jourdain

“…These results are used for refining the FEA model. In fact, the lack of symmetry and the use of feet are identified as the key design feature that affects the OTS. …”
Get full text

A DSP–FPGA Heterogeneous Accelerator for On-Board Pose Estimation of Non-Cooperative Targets by Qiuyu Song, Kai Liu, Shangrong Li, Mengyuan Wang, Junyi Wang

“…Experimental results show that the optimized model achieves a peak throughput of 399.16 GOP/s with less than 1% accuracy loss. …”
Get full text

Improved YOLOv8n Method for the High-Precision Detection of Cotton Diseases and Pests by Jiakuan Huang, Wei Huang

“…This method builds upon the YOLOv8 baseline model and incorporates a Multi-Scale Sliding Window Attention Module (MSFE) within the backbone architecture to enhance feature extraction capabilities specifically for small targets. …”
Get full text

Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

“…The framework incorporates state-of-the-art deep learning models, including U-Net, Attention U-Net, Residual Attention U-Net (RAUNet), TransUNet, and Swin-Unet. …”
Get full text