Evaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases by Benjamin Böttcher, Marly van Assen, Roberto Fari, Philipp L. von Knebel Doeberitz, Eun Young Kim, Eugene A. Berkowitz, Felix G. Meinel, Carlo N. De Cecco

“…Conclusion CBIR software improves in-training radiologist diagnostic accuracy and confidence while reducing interpretation time in ILD assessment. …”
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Transcriptomic and miRNA Signatures of ChAdOx1 nCoV-19 Vaccine Response Using Machine Learning by Jinting Lin, Qinglan Ma, Lei Chen, Wei Guo, Kaiyan Feng, Tao Huang, Yu-Dong Cai

“…This study employs feature ranking algorithms, an incremental feature selection method, and classification algorithms to analyze transcriptomic data from an experimental group vaccinated with the ChAdOx1 nCoV-19 vaccine and a control group vaccinated with the MenACWY meningococcal vaccine. …”
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A Short-Term Power Output Forecasting Model Based on Correlation Analysis and ELM-LSTM for Distributed PV System by Deng Yongsheng, Jiao Fengshun, Zhang Jie, Li Zhikeng

“…Accurate short-term power output forecasting results are conducive to reducing the scheduling difficulty of grid-connected operation of distributed photovoltaic (PV) systems, thus improving the safety and stability of power grid operation. …”
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The Bright Decade of Ocean Salinity from Space by Roberto Sabia, Jacqueline Boutin, Nicolas Reul, Tong Lee, Simon H. Yueh

“…Finally, short-to-mid-term perspectives, indicating both the expected improvements in terms of algorithms and also looking at novel mission concepts (that will provide continuation of these measurements in the decade to come) have been described.…”
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Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information by Asaf Khan, Saifullah Khan, Ariana Abdul Rahimzai, Saleem Abdullah

“…The enhanced structure enables the evaluation of both individual points and their surrounding behavior, improving the sensitivity and precision of the decision-making process. …”
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YOLO-SAR: An Enhanced Multi-Scale Ship Detection Method in Low-Light Environments by Zihang Xiong, Mei Wang, Ruixiang Kan, Jiayu Zhang

“…In low-illumination scenes, traditional ship detection algorithms often struggle due to poor visibility and blurred details in RGB video streams. …”
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Analysis of the state of geometrization development and digital modeling in open-pit mining enterprises by M.S. Kunytska, D.S. Polishchyk, O.V. Shapochnikov

“…Key development trends are identified: integration of digital technologies, improvement of methods of collecting and processing geospatial data, introduction of machine learning algorithms for risk prediction. …”
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Determine train load and speed based on dynamic displacement results by Nhung Thi Cam NGUYEN, An Thai LE, Hoang Nguyen BUI, Thuc Van NGO, Huy Phan BUI, Minh Quang TRAN

“…The research findings will contribute to improving safety, operational efficiency, and provide a solid scientific foundation for enhancing the railway transportation system.…”
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Federated Learning for privacy-Friendly Health Apps: A Case Study on Ovulation Tracking by Nikolaos Pavlidis, Andreas Sendros, Theodoros Tsiolakis, Periklis Kostamis, Christos Karasoulas, Eleni Briola, Christos Chrysanthos Nikolaidis, Vasilis Perifanis, George Drosatos, Eleftheria Katsiri, Despoina Elisavet Filippidou, Anastasios Manos, Pavlos S. Efraimidis

“…Unlike conventional centralized systems, FLORA ensures that sensitive information remains on users’ devices, with predictive algorithms powered by local computations. Blockchain technology provides immutable consent tracking and model update transparency, further improving user trust. …”
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FPGA-Accelerated Sparse Subset Segmentation Using ADMM for High-Resolution Imagery by Rupali Karthikeyan, Deep Amit Lodaya, Rama Muni Reddy Yanamala, Rayappa David Amar Raj, K. Krishna Prakasha, T. Subeesh, V. Anandkumar, Archana Pallakonda

“…This approach simplifies hardware integration and maintains accuracy while reducing latency and improving energy efficiency. Significant energy savings and decreased execution times are indicated by experimental results, with FPGA achieving segmentation in 9 ms as opposed to 13 ms on a CPU, thereby proving the tremendous computational efficiency of FPGA-based solutions. …”
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Autonomous Aircraft Tactical Pop-Up Attack Using Imitation and Generative Learning by Joao P. A. Dantas, Marcos R. O. A. Maximo, Takashi Yoneyama

“…To further enhance the training dataset with the aim of improving the robustness of the models, a Variational Autoencoder (VAE) was employed to generate synthetic data. …”
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Research progress and prospects of grating linear displacement measurement technology by ZHAO Zhicai, YU Hai, WAN Qiuhua, ZHAO Changhai, LI Yongjie

“…It reviews the research progress in these three areas and summarizes the strengths and limitations of existing studies: the grating linear displacement measurement technology based on Moire fringes is constrained by the diffraction limit, which hinders further improvements in resolution; the technology based on diffraction gratings struggles with absolute position measurement; and the technology based on image processing algorithms suffers from low integration and limited measurement range. …”
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Fault Tolerance and Fallback Strategies in Connected and Automated Vehicles: A Review by Mario Rodriguez-Arozamena, Jose Matute, Javier Araluce, Joshue Perez Rastelli, Asier Zubizarreta

“…Moreover, the challenges and future research directions for the development and improvement of fault tolerance strategies are discussed. …”
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ImageDoubler: image-based doublet identification in single-cell sequencing by Kaiwen Deng, Xinya Xu, Manqi Zhou, Hongyang Li, Evan T. Keller, Gregory Shelley, Annie Lu, Lana Garmire, Yuanfang Guan

“…Our approach showcases a notable doublet detection efficacy, achieving a rate up to 93.87% and registering a minimum improvement of 33.1% in F1 scores compared to existing genomic-based methods. …”
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2D Animal Skeletons Keypoint Detection: Research Progress and Future Trends by Pengfei Ma, Ronghua Gao, Qifeng Li, Qinyang Yu, Rong Wang, Chengrong Lai, Weiwei Huang, Peng Hao, Zhaoyang Wang, Xuwen Li

“…Additionally, it provides a detailed analysis of the method’s practical application details and improvements. The paper not only summarizes different model algorithms, datasets, and evaluation metrics related to animal keypoint detection but also integrates various application scenarios, highlighting distinct features under different focal points. …”
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Mathematical modeling of fastening conditions in piggyback transport: ensuring safety and stability across different transport modes by Ziyoda Mukhamedova, Diyor Boboyev, Shukhrat Saidivaliev, Rustam Abdullaev, Jamshid Kobulov, Sardorbek Akhmedov, Sherzod Fayzibayev

“…The findings indicate a strong correlation between speed and the forces exerted on fasteners, emphasising the need for adaptive fastening solutions and moreover, increasing the number of fastening points significantly reduced cargo displacement, thereby improving stability. These findings offer practical insights for optimising piggyback transportation systems, enhancing both cargo safety and operational efficiency. …”
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Advances in Breast Cancer Care: The Role of Artificial Intelligence and Digital Pathology in Precision Medicine by Ayşe Hümeyra Dur Karasayar, İbrahim Kulaç, Nilgün Kapucuoğlu

“…The application of machine learning algorithms has enhanced the ability of AI systems to classify breast cancer subtypes, grade tumors, and quantify key biomarkers, thereby improving diagnostic accuracy and prognostic precision. …”
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Global research trends in AI-assisted blood glucose management: a bibliometric study by Li Yuan, Li Yuan, Yangtian Wang, Meiping Xing, Tao Liu, Dan Xiang

“…Future research should focus on clinical integration and improving accessibility to enhance patient outcomes.…”
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Identifying Influential Nodes in Complex Networks via Transformer with Multi-Scale Feature Fusion by Tingshuai Jiang, Yirun Ruan, Tianyuan Yu, Liang Bai, Yifei Yuan

“…Through the transformer module, node information is effectively aggregated, thereby improving the model’s ability to recognize key nodes. …”
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The Experimental Study of the Validity of the Lagrange–Helmholtz Relationship in Geomagnetic Fields by Jing-jin Zhang, Yu-wei Xu, Zeng-zhou Yi, Qin-lao Yang, Jun-kun Huang, Fang-ke Zong

“…To enhance equipment stability and accelerate engineering advancements, a dual approach involving hardware improvements and computational imaging-based software corrections is essential. …”
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