Development of a Prediction Model and Risk Score for Self-Assessment and High-Risk Population Identification in Liver Cancer Screening: Prospective Cohort Study by Xue Li, Youqing Wang, Huizhang Li, Le Wang, Juan Zhu, Chen Yang, Lingbin Du

“…This model enables the identification of asymptomatic individuals who should be prioritized for liver cancer screening.…”
Get full text

Deep learning for gender estimation using hand radiographs: a comparative evaluation of CNN models by Hilal Er Ulubaba, İpek Atik, Rukiye Çiftçi, Özgür Eken, Monira I. Aldhahi

“…Methods We analyzed 470 left-hand X-ray images from adults aged 18 to 65 years using four convolutional neural network (CNN) architectures: ResNet-18, ResNet-50, InceptionV3, and EfficientNet-B0. Following image preprocessing and data augmentation, models were trained and validated using standard classification metrics: accuracy, precision, recall, and F1 score. …”
Get full text

Designing a competency system model with emphasis on employee dignity using the grounded theory approach by Fatemeh Shahrokhi sardoo, Saeed Sayadi, Amin Nikpour, Shiva Madahian, Hamidreza Molaei

Get full text

Predicting communities with high tuberculosis case-finding efficiency to optimise resource allocation in Pakistan: comparing the performance of a negative binomial spatial lag mode... by Hasan Tahir, Frank Cobelens, Christina Mergenthaler, Mirjam I Bakker, Tanveer Ahmed, Jake D Mathewson, Daniella Brals, Abdullah Latif, Stephanie Lako, Andreas Werle van der Merwe, Matthys Potgieter, Vincent Meurrens, Zia Samad, Ente Rood

Get full text

Extended Model for Efficient Federated Identity Management with Dynamic Levels of Assurance Across eIDAS, REFEDS, and Kantara Frameworks for Educational Institutions by Vjollca Shemshi, Boro Jakimovski

Get full text

An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…This research proposes a novel feature fusion-based model that incorporates two parallel tracks for efficient feature extraction. …”
Get full text

HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network by Long Deng, Zhonghua Miao, Xueguan Zhao, Shuo Yang, Yuanyuan Gao, Changyuan Zhai, Chunjiang Zhao

“…Overall, the HAD-YOLO model has effectively addressed the requirements for accurate weed identification, offering both theoretical and technical backing for automatic weed control. …”
Get full text

USING RANKING MODELS TO ASSESS THE LEVEL OF FOOTBALL DEVELOPMENT IN FIFA COUNTRIES by Anatoliy I. Vorob'ev, Il'ya V. Solntsev, Nikita A. Osokin

Get full text

Empirical analysis of control models for different converter topologies from a statistical perspective by Hole Shreyas Rajendra

“…This text further proposes evaluation of a novel Converter Control Rank Metric (CCRM) that combines these metrics, and assists in identification of converter control models that showcase high conversion efficiency with low delay, low complexity, high scalability, and low deployment costs. …”
Get full text

Investigating a three-dimensional convolution recognition model for acoustic emission signal analysis during uniaxial compression failure of coal by Tao Wang, Zishuo Liu, Liyuan Liu

Get full text

Development and validation of a clinical prediction model for hospitalization after emergency department admission in patients with cancer by Z.L.R. Kaplan, D. van Klaveren, J.G.A. den Duijn, R.J.C.G. Verdonschot, N. Wlazlo, J.G.J.V. Aerts, J. Bromberg, H.F. Lingsma, J. Alsma, M.M.E.M. Bos

Get full text

Silage Maize Identification Using a Temporal Difference-Based Model with Sentinel-2 Data: Insights from a Harvest-Based and Temporally Transferable Approach by Zhenyu Lin, Ran Huang, Sihan Tan, Lingbo Yang, Jingfeng Huang, Lijun Su, Zhichao Hu

“…In response to the limited research on silage maize classification in China and the lack of data support for refined agricultural and livestock management, this study proposes a Temporal Difference-based Silage Maize Identification Model (TempDiff-SMID) using the Google Earth Engine (GEE) platform. …”
Get full text

Artificial Intelligence Driven Human Identification by Purushottam Sharma, Aazar Imran Khan, Samyak Jain, Abhishek Srivastava

“…Human Identification has been widely implemented to enhance the efficiency of surveillance systems, however, systems based on common CCTV (closed-circuit television) cameras are mostly incompatible with the advanced identification algorithms which aim to extract the facial features or speech of an individual for identification. …”
Get full text

Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategyResearch in context by Xueling Suo, Mengyao Chen, Li Chen, Chunyan Luo, Graham J. Kemp, Su Lui, Huaiqiang Sun

Get full text

Hadron Identification Prospects with Granular Calorimeters by Andrea De Vita, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Ralf Keidel, Jan Kieseler, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore

Get full text

The Tunnel Structural Mode Frequency Characteristics Identification and Analysis Based on a Modified Stochastic Subspace Identification Method by Biao Zhou, Xiongyao Xie, Xiaojian Wang

“…It is found that both stability and efficiency of the mode frequency identification have been greatly improved, and it more suitable for online monitoring. …”
Get full text

Comparative study of data-based and covariance-based methods for flutter derivative identification of a trussed deck suspension bridge model with wind tunnel validation by Hoang Trong Lam, Phan Duc Tam, Vo Duy Hung

Get full text

A sorghum seed variety identification method based on image–hyperspectral fusion and an improved deep residual convolutional network by Xu Yang, Yihan Chen, Shaozhong Song, Zhimin Zhang

Get full text

Machine learning-based identification of key factors and spatial heterogeneity analysis of urban flooding: a case study of the central urban area of Ordos by Yu Qin, Yingdong Yu, Jiahong Liu, Ruifen Liu

Get full text

A Sparse Bayesian Technique to Learn the Frequency-Domain Active Regressors in OFDM Wireless Systems by Carlos Crespo-Cadenas, María José Madero-Ayora, Juan A. Becerra, Elías Marqués-Valderrama, Sergio Cruces

Get full text