Breast cancer diagnosis using radiomics-guided DL/ML model-systematic review and meta-analysis by Nazmul Ahasan Maruf, Abdullah Basuhail

“…The LASSO (13) and T-test (9) statistical models are the most commonly used for feature selection. …”
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WiPy-RT: A Fast Ray Tracing Modeling Platform for RIS-Assisted Wireless Channels by Mohammadreza Farashahi, Boon-Chong Seet, Xue Jun Li

“…This paper introduces WiPy-RT, a high-performance ray tracing simulator designed for modeling RIS-enabled wireless environments. …”
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Constructing and identifying an eighteen-gene tumor microenvironment prognostic model for non-small cell lung cancer by Zaishan Li, Zhenzhen Meng, Lin Xiao, Jiahui Du, Dazhi Jiang, Baoling Liu

“…We assessed model performance and clinical utility. A prediction nomogram was also constructed and validated. …”
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THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis by Mohammad Javad Saber, Mazen Hasna, Osamah S. Badarneh

“…Thus, developing accurate radio channel models that address these challenges is critical to ensure reliable communication. …”
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DeepGuard: real-time threat recognition using Golden Jackal optimization with deep learning model by Fatma S. Alrayes, Hamed Alqahtani, Wahida Mansouri, Asma Alshuhail, Wafa Sulaiman Almukadi, Ahmed Mahmud

“…The performance evaluation of the DeepGuard model takes place using benchmark datasets. …”
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CVT-HNet: a fusion model for recognizing perianal fistulizing Crohn’s disease based on CNN and ViT by Lanlan Li, Ziyue Wang, Chongyang Wang, Tao Chen, Ke Deng, Hong’an Wei, Dabiao Wang, Juan Li, Heng Zhang

“…By combining local and global information, CVT-HNet demonstrates strong performance. The model not only achieves high accuracy and robustness but also exhibits strong generalizability. …”
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Modeling and control of wind power generation system based on MMC-PET interface during grid faults by CHENG Qiming, SUN Yinghao, CHENG Yinman, ZHANG Lei, QU Bogang

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Wind power generation prediction using LSTM model optimized by sparrow search algorithm and firefly algorithm by Wenjing Zhang, Hongjing Yan, Lili Xiang, Linling Shao

“…The model first employs a bidirectional long short-term memory network to capture the long-term dependency features of time series, and uses random forests for nonlinear modeling and feature selection. …”
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Modelling the effect of vaccination on the spread of COVID-19 via a novel evolutionary ensemble learning algorithm by Mohammad Hassan Tayarani Najaran

“…To build the model, an ensemble learning algorithm is proposed, which is a combination of different learning algorithms. …”
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An intelligent fault diagnosis model for bearings with adaptive hyperparameter tuning in multi-condition and limited sample scenarios by Jianqiao Li, Zhihao Huang, Liang Jiang, Yonghong Zhang

“…The proposed model not only improves diagnostic performance but also enhances optimization efficiency, achieving faster results within the same time frame. …”
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Clinical Characteristics of Gastrointestinal Malignancy and Validation of the IDIOM Model Among Patients With Iron Deficiency Anemia in Thailand by Kanjira Titsisaeng, Noraworn Jirattikanwong, Phichayut Phinyo, Pojsakorn Danpanichkul, Kanokwan Pinyopornpanish, Nithi Thinrungroj, Phuripong Kijdamrongthum, Apinya Leerapun, Taned Chitapanarux, Wasuwit Wanchaitanawong

“…To improve its performance, the model was updated using recalibration and refitting methods. …”
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An Ensemble Approach for Detection of Malicious URLs Using SOM and Tabu Search Optimization by Simar Preet Singh, Abhilash Maroju, Mohammad Kamrul Hasan, Karan Tejpal

“…Our model performs better than other models in a variety of malicious URL attack scenarios. …”
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GeoFAN: Point Pattern Recognition in Spatial Vector Data by Zhuoyi Yang, Zeyi Li, Haitao Zhang, Wei Zhang, Yanwei Wang, Yihang Huang

“…Secondly, a geometric feature attention module is proposed to enhance the feature representation of point patterns. …”
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The application of risk models based on machine learning to predict endometriosis‐associated ovarian cancer in patients with endometriosis by Xiaopei Chao, Shu Wang, Jinghe Lang, Jinhua Leng, Qingbo Fan

“…Then we compared the performance of the two risk‐predicting models using DeLong's test. …”
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CD-STMamba: Toward Remote Sensing Image Change Detection With Spatio-Temporal Interaction Mamba Model by Shanwei Liu, Shuaipeng Wang, Wei Zhang, Tao Zhang, Mingming Xu, Muhammad Yasir, Shiqing Wei

“…While some researchers have incorporated it into CD tasks, most have neglected the effective application of the Mamba selective scanning algorithm for modeling bitemporal image dependencies, resulting in suboptimal feature learning from bitemporal images. …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…Experimental evaluations on two real-world oil price datasets demonstrate the superior performance of the proposed model, achieving a Mean Squared Error (MSE) of 0.000054 and outperforming benchmark models.…”
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EmoFusion: An integrated machine learning model leveraging embeddings and lexicons to improve textual emotion classification by Anjali Bhardwaj, Muhammad Abulaish

“…The proposed approach uses semantically related features to bridge the semantic gap between words and emotions, capturing a wide range of emotional nuances and resulting in better classification performance. …”
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MS_HGNN: a hybrid online fraud detection model to alleviate graph-based data imbalance by Jing Long, Fei Fang, Cuiting Luo, Yehua Wei, Tien-Hsiung Weng

“…The three types of imbalance in online transactions are feature imbalance, category imbalance, and relation imbalance, and they are all addressed in the proposed model. …”
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Design modeling and kinematics analysis of planar-based linear contact-type adaptive center-alignment device by Huang Bin, Lu ZhuoSheng, Zhang YongMin, Tony Shay, Karl Peter Davidson, Zhou YiXin, Han QiLi

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Offline Single-Polarization Radar Quantitative Precipitation Estimation Based on a Spatiotemporal Deep Fusion Model by Yonghong Zhang, Shiwei Chen, Wei Tian, Guangyi Ma, Shuai Chen

“…Based on a comparison of the results of the proposed model (FFNet-LSTM) with those of the ordinary kriging (OK) interpolation, two Z-R relationship, the multilayer perceptron (MLP), the LSTM, and the FFNet, the proposed method is superior to these models, has a promising performance, and is a general-purpose rainfall algorithm.…”
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