The analysis of landscape design and plant selection under deep learning by Lian Li, JiYon Lee

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Amazon Web Service–Google Cross-Cloud Platform for Machine Learning-Based Satellite Image Detection by David Pacios, Sara Ignacio-Cerrato, José Luis Vázquez-Poletti, Rafael Moreno-Vozmediano, Nikolaos Schetakis, Konstantinos Stavrakakis, Alessio Di Iorio, Jorge J. Gomez-Sanz, Luis Vazquez

“…Satellite image analysis is a critical component of Earth observation and satellite data analysis, providing detailed information on the effects of global events such as the COVID-19 pandemic. …”
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Comparative Analysis of Random Forest and Logistic Regression Methods in Predicting Leukemia Blood Cancer Using Microscopic Blood Cell Images by Jepri Banjarnahor, Galuh Wira Relungwangi

“…These findings suggest that ensemble methods like RF are particularly well-suited for detecting one of the most deadly blood cancers, leukemia, due to their ability to handle complex feature interactions in medical imaging data. …”
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Med-DGTN: Dynamic Graph Transformer with Adaptive Wavelet Fusion for multi-label medical image classification by Guanyu Zhang, Yan Li, Tingting Wang, Guokun Shi, Li Jin, Zongyun Gu, Zongyun Gu

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Analysis of Gearbox Bearing Fault Diagnosis Method Based on 2D Image Transformation and 2D-RoPE Encoding by Xudong Luo, Minghui Wang, Zhijie Zhang

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Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures by David C Sing, Kishan S Shah, Michael Pompliano, Paul H Yi, Calogero Velluto, Ali Bagheri, Robert K Eastlack, Stephen R Stephan, Gregory M Mundis Jr

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Two-dimensional multi-scale permutation entropy algorithm based on uniform quantization by WANG Daming, SHI Pengfei, LEI Yihang, BIAN Haoran, LIANG Min, CHANG Liwei

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Refinement Analysis of Real Dihedral and Trihedral CR-InSAR Based on TerraSAR-X and Sentinel-1A Images by Hui Liu, Bochen Zhou, Changwei Miao, Shihuan Li, Lei Xu, Ke Zheng, Geshuang Li, Shiji Yang, Mengyuan Zhu

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Review of the AI-Based Analysis of Abdominal Organs from Routine CT Scans by Niloofar Tavakolian, Azadeh Nazemi, Ching Yee Suen

“…Early methods relied on basic image processing, which faced limitations due to noise, intensity variations, and complex abdominal anatomy. …”
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Deep Learning for Leukemia Classification: Performance Analysis and Challenges Across Multiple Architectures by Hari Mohan Rai, B. Omkar Lakshmi Jagan, N. Thiruapthi Rao, Thayyaba Khatoon Mohammed, Neha Agarwal, Hanaa A. Abdallah, Saurabh Agarwal

“…A web-based interface has also been provided through which a user can upload images and clinical data for analysis. The interface displays model predictions, symptom analysis, and accuracy metrics. …”
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Optical Coherence Tomography-Guided vs. Angiography-Guided Percutaneous Coronary Intervention for Complex Coronary Lesions: A Systematic Review and Meta-Analysis by Muhammad Hamza Shuja, Muhammad Ahmed, Ramish Hannat, Laiba Khurram, Hamza Ali Hasnain Sheikh, Syed Hasan Shuja, Adarsh Raja, Jawad Ahmed, Kriti Soni, Shariq Ahmad Wani, Aman Goyal, Bala Pushparaji, Ali Hasan, Raheel Ahmed, Hritvik Jain

“…This study supports incorporating advanced imaging techniques like OCT to improve clinical outcomes, especially in complex PCIs.…”
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Predictors of seizure outcomes in children with tuberous sclerosis complex and intractable epilepsy undergoing resective epilepsy surgery: an individual participant data meta-analy... by Aria Fallah, Gordon H Guyatt, O Carter Snead, Shanil Ebrahim, George M Ibrahim, Alireza Mansouri, Deven Reddy, Stephen D Walter, Abhaya V Kulkarni, Mohit Bhandari, Laura Banfield, Neera Bhatnagar, Shuli Liang, Federica Teutonico, Jianxiang Liao, James T Rutka

“…<h4>Objective</h4>To perform a systematic review and individual participant data meta-analysis to identify preoperative factors associated with a good seizure outcome in children with Tuberous Sclerosis Complex undergoing resective epilepsy surgery.…”
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Quantitative Analysis of Crack Propagation Behavior in Recycled Concrete Subjected to Axial Compression Using Digital Image Correlation (DIC) Technology and Fractal Theory by Cheng-Gong Lu, Xiu-Cheng Zhang, Wei-Zhi Chen, Xue-Fei Chen

“…However, at the mesoscopic scale, the internal structure of recycled concrete becomes increasingly intricate due to the adherence of substantial mortar on the surface of recycled coarse aggregates, ultimately influencing its macroscopic mechanical behavior and crack propagation trajectories. To address this complexity, Digital Image Correlation (DIC) technology is harnessed to quantitatively analyze crack tip displacement fields and crack propagation behavior in recycled concrete, considering variations in aggregate replacement ratios and particle sizes. …”
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Feasibility Study of Transit Dosimetry (TD) with an Electronic Portal Imaging Device (EPID) in volumetric arc therapy (VMAT) for head and neck cancer (HNC) by ARVIND DIUNDI, KIRAN SHARMA, CHANDI BHATT, SANGEETA HAZARIKA

“…Nine hundred forty-two treatment fluence maps were generated using transit dosimetry and evaluated with gamma analysis. The dosimetry was performed using amorphous silicon (a-Si 1000 and a-Si 1200) electronic portal imaging devices (EPIDs), with gamma analysis criteria of 2% dose difference (DD) and 2 mm distance to agreement (DTA), as well as 3% DD and 3 mm DTA.Results: Daily treatment consistency was assessed by establishing the initial-day fluence as the reference for the entire treatment regimen. …”
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Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network by Shouyi Yang, Yongxin Wu

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PortraitEmotion3D: A Novel Dataset and 3D Emotion Estimation Method for Artistic Portraiture Analysis by Shao Liu, Sos Agaian, Artyom Grigoryan

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Deformation and failure of carbon fiber composite specimens with embedded defects during tension-torsion test by Valery E. Wildemann, Tatyana V. Tretyakova, Elena M. Strungar, Mikhail P. Tretyakov

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Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging by Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat

“…To simplify the analysis and reduce computational complexity, a subset of key spectral wavelengths was selected using a successive projection algorithm. …”
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Refining Parkinson’s syndrome symptom forecasting using incorporated ocular imaging and the SymptoSense model by V. Jayasudha, N. Deepa, Devi Thiyagarajan

“…Combining NLP and ocular imaging, this innovative approach is evaluated against benchmark models like Forward Maximal Matching, Backward Maximal Matching, Bi-directional Maximal Matching, Word Embeddings, Sentiment Analysis, and Term Frequency-Inverse Document Frequency. …”
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CrackdiffNet: A Novel Diffusion Model for Crack Segmentation and Scale-Based Analysis by Yunlong Song, Yumeng Su, Shiying Zhang, Ruilin Wang, Youling Yu, Weiping Zhang, Qi Zhang

“…Deep learning has made remarkable progress in the field of crack segmentation, particularly in handling large-scale datasets and complex images, owing to the substantial computational power currently available. …”
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