GROUND GLASS OPACITIES ON CT OF THE CHEST IN THE PRACTICE OF THE CLINICIAN: PATHOGENESIS, SIGNIFICANCE, DIFFERENTIAL DIAGNOSE by M. A. Karnaushkina, A. V. Averyanov, V. N. Lesnyak

“…Ground glass opacities, mosaic perfusion, areas of air-trapping on a computed tomography of the lung are one of the most frequent x-ray syndromes. …”
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Improving Sewer Damage Inspection: Development of a Deep Learning Integration Concept for a Multi-Sensor System by Jan Thomas Jung, Alexander Reiterer

“…Advancements in artificial intelligence (AI) and computer vision offer significant potential to automate sewer inspections, improving reliability and reducing costs. …”
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Leveraging AI to automate detection and quantification of extrachromosomal DNA to decode drug responses by Kohen Goble, Aarav Mehta, Damien Guilbaud, Jacob Fessler, Jingting Chen, William Nenad, William Nenad, Christina G. Ford, Oliver Cope, Darby Cheng, William Dennis, Nithya Gurumurthy, Yue Wang, Kriti Shukla, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk

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Optimization of Air Flow Pattern for Leakage of Ammonia Gas in a Refrigerator Room by Zhang Qianru, Zhang Xu, Ye Wei, Zhao Wenxuan, Zhi Chengqiang, Huang Yixiang, Ma Jin

“…To exhaust the ammonia gas released after the rupture of a low-pressure suction pipe of an ammonia refrigeration compressor, a computational fluid dynamics (CFD) method was used to numerically calculate the accident ventilation process and compare the emergency ventilation effectiveness under different airflow patterns in this study. …”
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Aggregated approach for interstitial lung diseases classification using attention based CNN and radial basis function neural network by S. Kumarganesh, K.V.M. Shree, P. Rishabavarthani, C. Ganesh, S. Anthoniraj, B. Thiyaneswaran, Lam Dang, K. Martin Sagayam, Linh Dinh, Hien Dang

“…This study proposes an automated approach for identifying Interstitial Lung Diseases (ILD) using biomedical images. Computed Tomography (CT) biomedical images were used for analysis. …”
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Spiking Cooperative Network Implemented on FPGA for Real-Time Event-Based Stereo System by Jung-Gyun Kim, Donghwan Seo, Byung-Geun Lee

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An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization by Chenhao Li, Jiyin Zhang, Weilin Chen, Xiaogang Ma

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Cybersecurity Transformation: Cyber-Resilient IT Project Management Framework by Samir Al-Janabi, Haidar Jabbar, Francis Syms

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Frequency-Decoupled Dual-Stage Inverse Lithography Optimization via Hierarchical Sampling and Morphological Enhancement by Jie Zhou, Qingyan Zhang, Haifeng Sun, Chuan Jin, Ji Zhou, Junbo Liu

“…This approach reduces computational complexity while refining resolution progressively. …”
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Technological developments of amphibious aircraft designs: Research milestone and current achievement by Putra Ebenhaezer Candela Kristiawan, Suryanto Muhammad Ramadhani, Suryanto Suryanto, Adiputra Ristiyanto, Prabowo Aditya Rio, Puryantini Navik, Carvalho Hermes, Jurkovič Martin, Imanullah Fahmi

“…To better serve the demands of real aircraft designers, this research presented a new process for creating seaplane designs. Combining historical seaplane data with current ship and aircraft design data resulted in a new preliminary seaplane concept design. …”
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Real-Time Farm Surveillance Using IoT and YOLOv8 for Animal Intrusion Detection by Tahesin Samira Delwar, Sayak Mukhopadhyay, Akshay Kumar, Mangal Singh, Yang-won Lee, Jee-Youl Ryu, A. S. M. Sanwar Hosen

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A SAM-Based Detection Method for the Distance Between Air-Craft Fire Detection Lines by Mo Chen, Sheng Cheng, Yan Liu, Qifan Yin, Hongfu Zuo

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Understanding climate-sensitive tick development and diapause with a structured population model by Kamil Erguler, Anastasios Saratsis, Gerhard Dobler, Lidia Chitimia-Dobler

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A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

“…Dialogue policy is a critical research area in human-computer interaction, vital for guiding dialogue generation and improving controllability and interpretability. …”
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Modeling the inside defect of the jet cavitator by A. I. Ukolov, V. P. Rodionov

“…The features of the ANSYS Workbench finite-element analysis software package and the integrated optimization module of the development and design process in the domain of the computational fluid dynamics ANSYS CFX are used. …”
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Impact of Input Image Resolution on Deep Learning Performance for Side-Scan Sonar Classification: An Accuracy–Efficiency Analysis by Xing Du, Yongfu Sun, Yupeng Song, Wanqing Chi, Lifeng Dong, Xiaolong Zhao

“…Using two distinct SSS datasets and a resolution-adaptive deep learning strategy employing MobileNetV2 and ResNet variants across six resolutions, we evaluated classification accuracy and computational metrics. Results demonstrate a clear inverse relationship: decreasing resolution significantly reduces computational load and processing times but lowers classification accuracy, with the degradation being more pronounced for the more complex four-class dataset. …”
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Modeling Air Combat Behavior for Simulation-Based Pilot Training: A Survey of Machine Learning Approaches by Andreas Strand, Patrick Ribu Gorton, Karsten Brathen

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High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing by Antonio García-Garví, Antonio-José Sánchez-Salmerón

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CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting by Zhenkai Qin, Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Xiaochuan Yu, Jingxuan Jiang

“…This significantly enhances the real-time data processing capability and reduces the deployment costs for risk management systems. …”
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Mango (Mangifera indica) tree detection and counting in mango orchard with satellite images using deep learning model YOLO: A comparative analysis by LALIT BIRLA, ANSHU BHARADWAJ, RAJNI JAIN, CHANDAN KUMAR DEB, VINAY KUMAR SEHGAL, RAMASUBRAMANIAN V

“…Recent advancements in deep learning-based approaches have demonstrated state-of-the-art performance in automated tree counting, offering improved accuracy, robustness, and computational efficiency. The study was carried out during 2023–24 presenting a comparative evaluation of YOLO architectures for mango tree detection and counting. …”
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