A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer by Sushant Patkar, Stephanie Harmon, Isabell Sesterhenn, Rosina Lis, Maria Merino, Denise Young, G. Thomas Brown, Kimberly M. Greenfield, John D. McGeeney, Sally Elsamanoudi, Shyh-Han Tan, Cara Schafer, Jiji Jiang, Gyorgy Petrovics, Albert Dobi, Francisco J. Rentas, Peter A. Pinto, Gregory T. Chesnut, Peter Choyke, Baris Turkbey, Joel T. Moncur

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Enhanced Navigation Precision Through Interaction Multiple Filtering: Integrating Invariant and Extended Kalman Filters by Maher Tarek, Syed Tariq Shah, Shady Zahran, Eyad S. Oda, Mostafa M. Ahmed, Ahmad Almogren, Mahmoud A. Shawky, Sherif F. Nafea

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Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

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Spectral Analysis of Cough Sounds in Patients with Chronic Bronchitis by Andrey V. Budnevsky, Sergey N. Avdeev, Evgeniy S. Ovsyannikov, Anastasia V. Belyakova

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Leveraging AI for Resilient Urban Disaster Management in India by Naikade Kshtij, Dharangutti Yogesh, Hangirgekar Ramni Sachin

“…In this study, researchers showed that the use of AI algorithms together with monitoring environmental parameters would enhance the processes of disaster detection and management. …”
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A Review of Modeling and Control Techniques for Unmanned Aerial Vehicles by Elisabeth Andarge Gedefaw, Nardos Belay Abera, Chala Merga Abdissa

“…The findings highlight that hybrid control strategies incorporating adaptive mechanisms, learning‐based algorithms, and quaternion‐based modeling offer significant potential for enhancing autonomy and control. …”
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Remote Sensing of Particle Absorption Coefficient of Pigments Using a Two-Stage Framework Integrating Optical Classification and Machine Learning by Xietian Xia, Shaohua Lei, Hui Lu, Zenghui Xu, Xiang Li, Xing Chen, Niancheng Hong, Jie Xu, Kun Shi, Jiacong Huang

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A Fusion XGBoost Approach for Large-Scale Monitoring of Soil Heavy Metal in Farmland Using Hyperspectral Imagery by Xuqing Li, Huitao Gu, Ruiyin Tang, Bin Zou, Xiangnan Liu, Huiping Ou, Xuying Chen, Yubin Song, Wei Luo, Bin Wen

“…On this basis, the performance indicators of the Optuna-optimized XGBoost model were compared with traditional linear and nonlinear models. …”
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Quality of life of patients with primary open-angle glaucoma, primary angle closure glaucoma, and pseudoexfoliation glaucoma in Central Serbia by Marčeta Elizabeta, Šarenac-Vulović Tatjana, Petrović Nenad, Vulović Dejan, Trenki Marija, Ranđelović Danijela, Todorović Dušan

“…The highest mean value in glaucomatous visual field defect was recorded in the PEG group (14.5 ± 3.6 dB). Conclusion. This research has demonstrated that the QoL is significantly lower in patients suffering from PEG compared to those suffering from POAG and PACG. …”
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Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

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Machine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding by Yani Zhang, Qiankun Li, Haijun Duan, Liang Tan, Ying Cao, Junxin Chen

“…However, there is still incomplete research on the risk factors that affect delayed shedding of SARS-CoV-2. …”
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Correction of ASCAT, ESA–CCI, and SMAP Soil Moisture Products Using the Multi-Source Long Short-Term Memory (MLSTM) by Qiuxia Xie, Yonghui Chen, Qiting Chen, Chunmei Wang, Yelin Huang

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Performance Enhancement of V2V Communication by QC-LDPC Code and NOMA-UM-MIMO Techniques by Maryam Mohammed F. Abdullah, Osama Alluhaibi, Asim Egemen Yilmaz, Aykut Kalaycioglu

“…This research also addresses the challenges associated with high vehicle velocities and the resulting Doppler shifts, which are significant in highway and urban scenarios. …”
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Cloud-based optimized deep learning framework for automated glaucoma detection using stationary wavelet transform and improved grey-wolf-optimization with ELM approach by Debendra Muduli, Syed Irfan Yaqoob, Santosh Kumar Sharma, Anuradha S. Kanade, Mohammad Shameem, Harendra S. Jangwan, P.M. Ashok Kumar, Abu Taha Zamani

“…Finally, an improved gray wolf optimization algorithm integrated with an extreme learning machine (IMGWO-ELM) classifies the images as either healthy or glaucomatous. …”
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The transfer of antibiotic resistance genes between evolutionarily distant bacteria by Marcos Parras-Moltó, David Lund, Stefan Ebmeyer, D. G. Joakim Larsson, Anna Johnning, Erik Kristiansson

“…These IPTs were also found to be more recent compared to transfers associated with bacteria isolated from water, soil, and sediment. …”
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A robust tuned EfficientNet-B2 using dynamic learning for predicting different grades of brain cancer by A. A. Abd El-Aziz, Mohammed Elmogy, Sameh Abd El-Ghany

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Blood pressure abnormality detection and interpretation utilizing explainable artificial intelligence by Hedayetul Islam, Md. Sadiq Iqbal, Muhammad Minoar Hossain

“…Adrenal and thyroid diseases, as well as chronic kidney illness, have an impact on the projections. Existing research backs up this conclusion. Conclusion: Compared to previous studies on this dataset, our results would be superior, and the use of XAI shed new light on our model's prediction. …”
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Strategic optimization of engine performance and emissions with bio-hydrogenated diesel and biodiesel: A RVEA-GRNNs framework by Niti Klinkaew, Attasit Wiangkham, Atthaphon Ariyarit, Prasert Aengchuan, Anupap Pumpuang, Sarunporn Sripratum, Atthaphon Maneedaeng, Jiraphon Srisertpol, Ekarong Sukjit

“…Using a single-cylinder diesel engine from POLAWAT ENGINE Company Limited, we evaluated different bio-hydrogenated diesel and biodiesel blends, optimizing their composition through the Reference Vector Guided Evolutionary Algorithm with a surrogate objective function via Generalized Regression Neural Networks. …”
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Remote Sensing Based Crop Monitoring Techniques: A Case Study for the Navajo Nation by V. Thangavel, S. Nagarajan, M. Arockiasamy, Md. T. Khan, G. Sklivanitis

“…Finally, the accuracy of the results was compared with independent ground truth data. This research identifies notable discrepancies between the CDL data and the Navajo Nation agricultural census statistical report, particularly in estimating corn acreage for the <em>Chinle</em> and <em>Fort Defiance</em> agencies. …”
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Automated Detection of Reduced Ejection Fraction Using an ECG-Enabled Digital Stethoscope by Ling Guo, PhD, Gregg S. Pressman, MD, Spencer N. Kieu, BS, Scott B. Marrus, MD, PhD, George Mathew, PhD, John Prince, PhD, Emileigh Lastowski, MS, Rosalie V. McDonough, MD, MSc, Caroline Currie, BA, John N. Maidens, PhD, Hussein Al-Sudani, MD, Evan Friend, BA, Deepak Padmanabhan, MD, Preetham Kumar, MD, Edward Kersh, MD, Subramaniam Venkatraman, PhD, Salima Qamruddin, MD

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