Verification of temporal consistency constraints in the evolution of software for intelligent unmanned systems driven by model checking by Chaoze Lu, Chenghao Li, Chenxia Liu, Xianrui Wu, Yimin Huang

“…Based on this, a temporal consistency verification algorithm is designed, covering dynamic operations such as the addition, deletion, and replacement of agents. …”
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Intelligent Computerized Video Analysis for Automated Data Extraction in Wave Structure Interaction; A Wave Basin Case Study by Samuel Hugh Wolrige, Damon Howe, Hamed Majidiyan

“…Moreover, its application in irregular wave conditions demonstrated the algorithm’s capability to reliably detect the waterline across varying wave heights and periods. …”
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From Culture-Negative to DNA-Positive: The Molecular Revolution in Infective Endocarditis Diagnosis by Myeongji Kim, Madiha Fida, Omar M. Abu Saleh, Nischal Ranganath

“…Further research is needed to refine diagnostic algorithms and improve cost-effectiveness in clinical practice.…”
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A Data-Driven Loose Contact Diagnosis Method for Smart Meters by Wenpeng Luan, Yajuan Huang, Bochao Zhao, Hanju Cai, Yang Han, Bo Liu

“…To mitigate these risks through early fault detection, this study proposes a data-driven framework integrating the Local Outlier Factor (LOF) and Multiple Linear Regression (MLR) algorithms. …”
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CLINICAL SIGNIFICANCE OF BIOMARKERS IN OVARIAN CANCER, PROSTATE CANCER, COLORECTAL CANCER by N. V. Marshutina, M. P. Solokhina, I. I. Alentov, N. S. Sergeeva

“…The review is devoted to modern notions about serum tumor markers and their place in oncology: using for differential diagnosis, in prognosis of course of tumor process, during follow-up, for preclinical detection of disease recurrences, as well as in screening aimed at early detection of malignant neoplasms. …”
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Dynamic analysis of malicious behavior propagation based on feature selection in software network by Huajian Xue, Huajian Xue, Yali Wang, Qiguang Tang

“…Experimental results and analysis demonstrate that this approach can accurately detect and promptly interrupt the information dissemination of malicious software when such behavior occurs, thereby enhancing the precision and timeliness of malware detection.…”
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Concept of a Fuel Injector Control System Based on Electric Current Signals in OBD by Adrian POŁANIECKI, Kinga SZOST, Jędrzej MĄCZAK

“…For this purpose, an additional measurement system must be connected to the injector, along with the implementation of algorithms on a controller to process the recorded data samples. …”
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Diagnosis on Ultrasound Images for Developmental Dysplasia of the Hip with a Deep Learning-Based Model Focusing on Signal Heterogeneity in the Bone Region by Hirokazu Shimizu, Ken Enda, Hidenori Koyano, Takuya Ogawa, Daisuke Takahashi, Shinya Tanaka, Norimasa Iwasaki, Tomohiro Shimizu

“…<b>Background:</b> Developmental dysplasia of the hip (DDH) is a prevalent issue in infants, with ultrasound crucial for early detection. Existing automatic diagnostic models lack precision due to noise, but 3D technology may enhance it. …”
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Will Artificial Intelligence Replace Physicians or Augment Their Capabilities? by Sara Rahmati Roodsari, Alireza Zali, Mohammad Rahmati-Roodsari, Behina Forouzanmehr

“…In radiology, dermatology, and ophthalmology, algorithms can now detect problems with a similar level of accuracy, or even better, than that of professionals4-6. …”
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Integrating Digital Twin and BIM for Special-Length-Based Rebar Layout Optimization in Reinforced Concrete Construction by Daniel Darma Widjaja, Jeeyoung Lim, Sunkuk Kim

“…The system employs heuristic algorithms to generate constructability-aware rebar configurations and leverages Industry Foundation Classes (IFC) schema-based data models for interoperability. …”
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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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New Sensors and Techniques for the Structural Health Monitoring of Propulsion Systems by Mark Woike, Ali Abdul-Aziz, Nikunj Oza, Bryan Matthews

“…This includes evaluating the performance of a novel microwave blade tip clearance sensor; a vibration based crack detection technique using an externally mounted capacitive blade tip clearance sensor; and lastly the results of using data driven anomaly detection algorithms for detecting cracks in a rotating disk.…”
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Ultra-High Spatial Resolution Clinical Positron Emission Tomography (PET) Systems by Myungheon Chin, Muhammad Nasir Ullah, Derek Innes, Craig S. Levin

“…Recent advances in PET system technology target ultra-high spatial resolution (<2 mm) to enhance diagnostic precision for early-stage disease detection and longitudinal monitoring. A key strategy involves organ-specific, or loco-regional, scanner configurations that optimize photon detection efficiency (PDE) while balancing the trade-off between spatial resolution and image signal-to-noise ratio (SNR). …”
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Intelligent Recognition Method for Ferrography Wear Debris Images Using Improved Mask R-CNN Methods by Xiangwen Xiao, Weixuan Zhang, Qing Wang, Yuan Liu, Yishou Wang

“…The accurate characterization of wear debris is crucial for assessing the health of rotating engine components and for conducting simulation experiments in debris detection. This study proposed an intelligent recognition method for ferrography wear debris images, leveraging several improved Mask Region-based Convolutional Neural Network (Mask R-CNN) algorithms to quantitatively calculate both the number of debris particles and their coverage areas. …”
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Protecting Industrial Control Systems From Shodan Exploitation Through Advanced Traffic Analysis by Sayed Reza Ghazinour Naeini, Alireza Shameli-Sendi, Masoume Jabbarifar

“…Several machine learning algorithms were evaluated, including Random Forest, Support Vector Machine, Logistic Regression, and Gradient Boosting. …”
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RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review by Md Nasim Reza, Kyu-Ho Lee, Eliezel Habineza, Samsuzzaman, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…Machine vision and image processing algorithms enable for the real-time detection of subtle changes in pig appearance and behavior that may signify potential health issues. …”
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Computed tomography—current status and future directions for arthritis imaging by Sevtap Tugce Ulas, Torsten Diekhoff

“…Technological innovations such as low-dose CT and state-of-the-art reconstruction algorithms reduce radiation exposure while maintaining image quality and short acquisition times. …”
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Screening for nasopharyngeal carcinoma in high-incidence regions——Next steps by Allan Hildesheim

“…Future efforts should focus on implementing screening programs in high-incidence populations, assessing and refining screening algorithms, and exploring new, potentially more cost-effective screening methods. …”
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Lung Cancer Prediction Using an Enhanced Neutrosophic Set Combined with a Machine Learning Approach by Vakeel A. Khan, Asheesh Kumar Yadav, Mohammad Arshad, Nadeem Akhtar

“…To address this issue, we propose an Enhanced Neutrosophic Set (ENS) framework integrated with machine learning algorithms to improve the prediction accuracy of lung cancer. …”
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Development of Time-Reversal Method for Impact Source Identification on Plate Structures by Chunlin Chen, Yulong Li, Fuh-Gwo Yuan

“…The tradeoff between accuracy of the impact location detection and calibration spacing is studied in detail. …”
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