A human pose estimation network based on YOLOv8 framework with efficient multi-scale receptive field and expanded feature pyramid network by Shaobin Cai, Han Xu, Wanchen Cai, Yuchang Mo, Liansuo Wei

“…Therefore, EE-YOLOv8 achieves the highest accuracy while maintaining the lowest parameter count and computational complexity among all analyzed algorithms. …”
Get full text

About revising the computational dynamic scheme of an unmanned aerial vehicle based on the results of ground-based modal test operations in the aeroelasticity problems by S. G. Parafes’

“…The features of revising the computational dynamic scheme, while studying the flutter and aeroelastic stability of the ACS-fitted UAV, are presented. …”
Get full text

High-resolution Solar Image Registration Using Unsupervised Deep Learning by Hao Zhang, Bo Liang, Xiaoli Yan, Song Feng, Ding Yuan, Yunfang Cai, Wei Dai

Get full text

Influence of phonon anharmonicity on Raman spectra of Cu2ZnSn(S,Se)4 polycrystalline thin films through computational study by Yurii A. Romaniuk, Ivan S. Babichuk, Vadym V. Korotyeyev, Volodymyr O. Yukhymchuk, Volodymyr M. Dzhagan, Sergiy V. Virko, Mykola O. Semenenko, Maksym O. Stetsenko, Anton Tiutiunnyk, Laura M. Pérez, David Laroze

Get full text

LightGBM-Based Human Action Recognition Using Sensors by Yinuo Liu, Ziwei Chen

Get full text

Personal response to immune checkpoint inhibitors of patients with advanced melanoma explained by a computational model of cellular immunity, tumor growth, and drug. by D Perlstein, O Shlagman, Y Kogan, K Halevi-Tobias, A Yakobson, I Lazarev, Z Agur

“…Simulations captured the major features of Patient O's disease, displaying a good fit to her clinical data. …”
Get full text

Generalized Gaussian Distribution Improved Permutation Entropy: A New Measure for Complex Time Series Analysis by Kun Zheng, Hong-Seng Gan, Jun Kit Chaw, Sze-Hong Teh, Zhe Chen

Get full text

A lightweight verifiable outsourced decryption of attribute-based encryption scheme for blockchain-enabled wireless body area network in fog computing by Rui Guo, Chaoyuan Zhuang, Huixian Shi, Yinghui Zhang, Dong Zheng

“…Specifically, our construction enjoys the following six features: (1) Although the outsourced decryption enables to save the computation overhead of the data user sharply in an attribute-based encryption scheme, the ciphertext is out of control and the correctness cannot be guaranteed by the data owner. …”
Get full text

TBD-Y: Automatic tea bud detection with synergistic object-spatial attention and global-local attention guided feature fusion by Zhongyuan Liu, Li Zhuo, Chunwang Dong, Jiafeng Li, Yang Li

“…Furthermore, the TBD-Y-S model exhibits improved detection accuracy compared to YOLOv11-L, while maintaining lower model parameters and computational complexity.…”
Get full text

MSFF-Net: Multi-Sensor Frequency-Domain Feature Fusion Network with Lightweight 1D CNN for Bearing Fault Diagnosis by Miao Dai, Hangyeol Jo, Moonsuk Kim, Sang-Woo Ban

“…With only about 70.3% of the parameters of the SOTA model, it offers faster inference and reduced computational cost. …”
Get full text

Enhanced mastitis severity classification in dairy cows using DNN and RF: A study on PCA and correlation-based feature selection by Manar Lashin, Ayman Samir Farid, Abdullah T. Elgammal

“…Clinical measurements from 1,886 Holstein-Friesian dairy cows, aged 3-4 years, across 21 parameters were analyzed. Both Deep Neural Networks (DNN) and Random Forests (RF) were utilized, with dimensionality reduction applied through Principal Component Analysis (PCA) and correlation-based feature selection to retain essential features and enhance computational efficiency. …”
Get full text

OM-VST: A video action recognition model based on optimized downsampling module combined with multi-scale feature fusion. by Xiaozhong Geng, Cheng Chen, Ping Yu, Baijin Liu, Weixin Hu, Qipeng Liang, Xintong Zhang

“…Video classification, as an essential task in computer vision, aims to identify and label video content using computer technology automatically. …”
Get full text

Enhancing anemia detection through multimodal data fusion: a non-invasive approach using EHRs and conjunctiva images by Muhammad Ramzan, Muhammad Usman Saeed, Ghulam Ali

“…First, EHR records are preporcessed by selecting the most appropriate features using Random Forest. The features from the conjunctiva images are extracted using RCBAM (Reverse Convolution Block Attention Mechanism). …”
Get full text

Ultrafast Laser Beam Profile Characterization in the Front-End of the ELI-NP Laser System Using Image Features and Machine Learning by Tayyab Imran

“…We use centroid tracking to monitor pointing fluctuations, statistical intensity analysis to detect energy instabilities, and Sobel-based edge detection to evaluate beam sharpness and extract structural features from the beam image. Geometric parameters such as ellipticity, roundness, and symmetry indicators are extracted and examined over time. …”
Get full text

A Yarn Quality Prediction Method Based on M-ESTIMATOR Robust Broad Learning System With Tightly Cascaded Feature Layers by Baowei Zhang, Zhilin Guo, Yonghua Wang

Get full text

Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

Get full text

Fourier Features and Machine Learning for Contour Profile Inspection in CNC Milling Parts: A Novel Intelligent Inspection Method (NIIM) by Manuel Meraz Méndez, Juan A. Ramírez Quintana, Elva Lilia Reynoso Jardón, Manuel Nandayapa, Osslan Osiris Vergara Villegas

“…The results demonstrate that the NIIM offers 96.99% accuracy, low computational requirements, 100% inspection capability, and valuable information to improve machining parameters, as well as quality classification.…”
Get full text

Discrimination of Chinese prickly ash origin place using electronic nose system and feature extraction with support vector boosting machine by Junbo Lian, Peng Wu, Wenhui Han, Yaping Xie, Yue Zheng, Yuxuan Xu, Xinlin Li, Guofeng Hou, Chengxiang Yong, Qi Lv, Qiansheng Ye, Guohua Hui

Get full text

Online Asynchronous Learning over Streaming Nominal Data by Hongrui Li, Shengda Zhuo, Lin Li, Jiale Chen, Tianbo Wang, Jun Tang, Shaorui Liu, Shuqiang Huang

Get full text

Cardiac computer tomography-derived radiomics in assessing myocardial characteristics at the connection between the left atrial appendage and the left atrium in atrial fibrillation... by Xiao-Xuan Wei, Cai-Ying Li, Hai-Qing Yang, Peng Song, Bai-Lin Wu, Fang-Hua Zhu, Jing Hu, Xiao-Yu Xu, Xin Tian

“…The morphological parameters of the LAA were measured. A radiomics model, a clincal feature model and a model combining radiomics and clinical features were constructed. …”
Get full text