Deployment of real-time particle detection monitoring system in operating theatres for airborne contamination assessments: a methodological evaluation by Frans Stålfelt, Johan Tenghamn, Henrik Malchau, Karin Svensson Malchau

“…Future research should focus on integrating predictive algorithms and machine-learning to enhance clinical utility and drive improvements in surgical safety. …”
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MINIMIZATION OF RISK OF THE ERRONEOUS DECISION IN THE ASSESSMENT OF THE IMPORTANCE OF STATISTICAL RELATIONS OF TECHNICAL AND ECONOMIC INDICATORS OF THE OBJECTS OF ELECTRIC POWER SY... by E. M. Farhadzadeh, A. Z. Muradaliyev, Yu. Z. Farzaliyev, T. K. Rafiyeva, S. A. Abdullayeva

“…Improving the reliability of decisions taken in the organization of maintenance and repair of electric power systems is one of the most important and difficult problems. …”
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Integrated WHT- and DFT-Based Multiuser Massive MIMO System for Secure RIS-Enabled mmWave Communications by Md. Najmul Hossain, Md. Rakibul Islam, S. K. Tamanna Kamal, Atia Kaniz, Shaikh Enayet Ullah, Tetsuya Shimamura

“…PLS encryption based on a 2D hyperchaotic system significantly improves the confidentiality of the color image signal transmission. …”
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Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea by Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh

“…Such a tool has the potential to enhance early detection and preventive strategies in general healthcare settings, thereby improving patient outcomes.…”
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A novel device-free Wi-Fi indoor localization using a convolutional neural network based on residual attention by Mashael Maashi, Alanoud Al Mazroa, Shoayee Dlaim Alotaibi, Asma Alshuhail, Muhammad Kashif Saeed, Ahmed S. Salama

“…The proposed RACNN model achieved a localization accuracy of 99.9%, which represents a significant improvement over traditional methods such as K-nearest neighbors (KNN) and Bayesian inference. …”
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EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments by Asfandyar Khan, Faizan Ullah, Dilawar Shah, Muhammad Haris Khan, Shujaat Ali, Muhammad Tahir

“…Integrating cloud and fog resources can help address these challenges by improving fog-cloud computing environments. Nevertheless, the search for optimal task allocation and energy management in such environments continues. …”
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AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review by Nusrat Jahan Sarna, Farzana Ahmed Rithen, Umme Salma Jui, Sayma Belal, Al Amin, Tasnim Kabir Oishee, A. K. M. Muzahidul Islam

“…Although AI significantly improves detection accuracy, reduces operational costs, and strengthens regulatory compliance, challenges such as model explainability, data privacy concerns, algorithmic bias, and the dynamic nature of fraud remain critical barriers to widespread adoption. …”
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Decoding bacterial methylomes in four public health-relevant microbial species: nanopore sequencing enables reproducible analysis of DNA modifications by Valentina Galeone, Johanna Dabernig-Heinz, Mara Lohde, Christian Brandt, Christian Kohler, Gabriel E. Wagner, Martin Hölzer

“…Recent advances in basecalling models, particularly v5 models as part of Dorado, have reduced these issues, improving the reliability of methylation detection in bacterial genomes. …”
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Prediction of outcomes following intravenous thrombolysis in patients with acute ischemic stroke using serum UCH-L1, S100β, and NSE: a multicenter prospective cohort study employin... by Ming-Ya Luo, Yang Qu, Peng Zhang, Reziya Abuduxukuer, Li-Juan Wang, Li-Chong Yang, Zhi-Guo Li, Xiao-Dong Liu, Ce Han, Dan Li, Wei-Jia Wang, Dian-Ping Lv, Ming Liu, Jian Gao, Jing Xu, Yongfei Jiang, Hai-Nan Chen, Fu-Jin Li, Li-Ming Sun, Qi-Dong Sun, Yingbin Qi, Si-Yin Sun, Yu Zhang, Zhen-Ni Guo, Yi Yang

“…Intravenous thrombolysis (IVT) improves recovery, but predicting outcomes remains challenging. …”
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Challenges of manufacturing for energy efficiency: towards a systematic approach through applications of machine learning by Elaheh Gholamzadeh Nabati, Maria Teresa Alvela Nieto, Dennis Bode, Thimo Florian Schindler, André Decker, Klaus-Dieter Thoben

“…Research method The paper follows a qualitative research method to understand the manufacturing processes and their challenges in improving energy efficiency. The raw data for a 5-step approach were collected in research projects with manufacturing SMEs, and information about the processes through interviews and workshops with them. …”
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High resolution building facade dataset for facade elements parsingMendeley Data by Shuchang Xu, Fan Wu, Junjie Cheng, Wenzhen Yang

“…Furthermore, the dataset places particular emphasis on the annotation of window elements, offering high-density window information that significantly improves the capabilities for architectural element recognition and analysis. …”
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Vibration control and noise attenuation strategies via acoustic metamaterial in railway transportation: a state-of-the-art review by Cong Wang, Guifeng Wang, Zhenyu Chen, C. W. Lim, Weiqiu Chen

“…Innovative designs and strategies for improving efficiency and sustainability are also discussed. …”
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Distribution station inspection robot with modular manipulator by Qihui Yu, Qinglong Zhang, Guoxin Sun, Ripeng Qin

“…Substation inspection robots play a vital role in ensuring the safety of power grid systems and improving operational efficiency. However, existing inspection robots often face challenges such as limited flexibility at the mechanical end-effector, slow tool-switching speeds, and an inability to meet diverse operational demands, which restrict their efficiency and adaptability. …”
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Robust Monocular Visual-Inertial Odometry for Agricultural Vehicles Based on IMU-Augmented 3D Feature Point Correction by Quoc Duy Tran, Quoc Hung Hoang, Gon-Woo Kim

“…To enhance robustness and precision, the system integrates an error state Kalman filter (ESKF)-based attitude estimation, improving IMU preintegration accuracy even in visually degraded conditions. …”
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Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging by Ramzi Idoughi, Thomas H. G. Vidal, Pierre-Yves Foucher, Marc-André Gagnon, Xavier Briottet

“…More particularly the outlined method improves the existing background radiance estimation approach to deal with heterogeneous scenes corresponding to industrial scenes. …”
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Recent advances in AI-based toxicity prediction for drug discovery by Hyundo Lee, Jisan Kim, Ji-Woon Kim, Yoonji Lee, Yoonji Lee

“…Ongoing advances in databases, algorithms, and computational power have further expanded AI’s role in pharmaceutical research. …”
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Statistics on the work of gastroenterologists in the Russian Federation in 2013–2017 by N. E. Guryanova, O. I. Sachek, M. A. Ivanova

“…The rapid development of modern technologies and their implementation in the field of healthcare requires constant improvement of the organization of medical care to the population. …”
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A data-driven state identification method for intelligent control of the joint station export system by Guangli Xu, Yifu Wang, Zhihao Zhou, Yifeng Lu, Liangxue Cai

“…This method not only enhances the ability to discriminate abnormal working conditions but also adaptively adjusts the operation scheme, which effectively improves the intelligence level of the joint station export system.…”
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On the issue of analysis of legal documents on information security of automated systems of internal affairs bodies of the Russian Federation to assess the level of their security by E. A. Rogozin, I. G. Drovnikova, A. O. Yefimov, V. R. Romanova

“…An analysis of international, Russian, as well as departmental legal documents on information security of the ATS of the Russian Federation showed that the documents on the protection of information of the ATS of the Russian Federation, as well as the methodology for quantifying the level of security of these systems, have been developed insufficiently, in particular, they are absent a system of indicators, as well as mathematical models and algorithms for assessing the level of security of the ATS of the Russian Federation, which requires significant improvement of these documents.…”
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Emergency surgical pathology in pregnant women and women in labor: analysis of the structure of morbidity and routing paths in St. Petersburg by D. N. Popov, А. Yu. Korolkov, V. F. Bezhenar, L. А. Logvin, S. F. Bagnenko

“…Today, despite the development of medical technologies and the improvement of the logistical aspects of healthcare, the problem of unified treatment, diagnostic and routing algorithms for pregnant women and women in labor with urgent surgical pathology remains unresolved. …”
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