In-Process Monitoring of Inhomogeneous Material Characteristics Based on Machine Learning for Future Application in Additive Manufacturing by André Jaquemod, Marijana Palalić, Kamil Güzel, Hans-Christian Möhring

“…The algorithms are trained to recognize patterns, anomalies, or deviations from expected behavior, which can aid in evaluating the effect of detected defects on the machining process and the resultant component quality. …”
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An open paradigm dataset for intelligent monitoring of underground drilling operations in coal mines by Pengzhen Zhao, Xichao Wang, Shuainan Yu, Xiangqing Dong, Baojiang Li, Haiyan Wang, Guochu Chen

“…The dataset has been manually annotated to support computer vision tasks such as object detection and pose estimation. In addition, this study conducted extensive benchmarking experiments on this dataset, applying various advanced AI algorithms including but not limited to YOLOv8 and DETR. …”
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Harnessing Artificial Intelligence in Cardiology: Advancements in Diagnosis, Treatment, and Patient Care by Muhammad Hamza Shuja, Firzah Shakil, Syed Hasan Shuja, Minal Hasan, Maliha Edhi, Abeera Farooq Abbasi, Afia Jawaid, Shajia Shakil

“…Predictive analytics models utilizing electronic health records, genomic data, and lifestyle information significantly improve early detection and risk prediction of heart conditions. …”
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Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning by Xueshen Li, Yu Gan, David Duan, Xiao Yang

“…Abstract In this paper, we develop a combination of algorithms, including camera motion detector (CMD), deep learning models, class activation mapping (CAM), and periodical feature detector for the purpose of evaluating human gastric motility by detecting the presence of gastric peristalsis and measuring the period of gastric peristalsis. …”
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Emergent behaviors in multiagent pursuit evasion games within a bounded 2D grid world by Sihan Xu, Zhaohui Dang

“…After training with MARL algorithms, pursuers achieved a 99.9% success rate in 1,000 randomized pursuit-evasion trials, demonstrating the effectiveness of the learned strategies. …”
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Multimodal sensor dataset for monitoring older adults post lower limb fractures in community settings by Ali Abedi, Charlene H. Chu, Shehroz S. Khan

“…Multimodal sensor platforms that continuously collect data and analyze it using machine learning algorithms can remotely monitor this population and infer health outcomes. …”
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Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity by Mingzhao Wang, Yu Huang, Christian L. E. Franzke, Naiming Yuan, Zuntao Fu, Niklas Boers

“…Here, we examine the spatial propagation of terrestrial heatwaves using a complex network algorithm, and find four preferred propagation pathways of terrestrial heatwaves in the northern hemisphere. …”
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A comprehensive review on smart manufacturing using machine learning applicable to fused deposition modeling by Swapnil Deokar, Narendra Kumar, Ravi Pratap Singh

“…This study focuses on the use of ML algorithms for predicting part quality of AM parts, such as tensile strength, wear strength, detection of defect, geometric accuracy and minimizing the material waste.…”
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Renewable Energy Interconnected Power System Load Frequency Control Under Network Attacks and Communication Time Delay by MI Yang, YANG Zishuai, XU Mingming, ZHOU Jie, HAN Yunhao

“…Generalized cross-correlation （GCC） estimation was used to detect online system time delays. A sliding mode control algorithm was used to reduce the impact of time delay and enhance the robustness of the system. …”
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Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports by Alexandre Naprous, Marta Avalos-Fernandez, Catherine Pradeau, Emmanuel Lagarde, Cedric Gil-Jardine

“…We also extracted indicators that could serve as proxy measures using a keyword-search algorithm. We then developed a dashboard visualization tool to enable dynamic and spatial exploratory analyses. …”
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Self-Adaptive Sampling Rate to Improve Network Lifetime using Watchdog Sensor and Context Recognition in Wireless Body Sensor Networks by Hamid Mehdi, Houman Zarrabi, Ahmad Khadem Zadeh, AmirMasoud Rahmani

“…In this article, we are interested to propose an energy efficient Adaptive Sampling (AS) rate specification algorithm to set the amount of sensed data. According to the National Early Warning Score (NEWS), the sensors gather data and detect emergency data.  …”
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Fog Study at Ardabil Airport for the Statistical Period From 2011 to 2020 by Razieh Pahlavan, Mohammad Moradi, Sahar Tajbakhsh, Majid Azadi, Mehdi Rahnama

“…In this study, METAR data from 2011 to 2020 were used to detect fog events at Ardebil Airport and according to the classification algorithm of Tardif and Rasmussen (2007), the types of events were determined. …”
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Utilization of remote sensing and GIS approach for surface water monitoring in the Najaf Sea, Al-Najaf providence, Iraq: An overview by Husham Abdulkareem, Al-hadithi Mufid, Mozihim Rana

“…Sentinel-2 and Landsat satellite images were the most commonly used data sources, with classification methods such as maximum likelihood algorithm and spectral indices (NDVI, NDWI, NDBI and NDSI) applied to detect land cover changes. …”
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Dual Gm-APD Polarization Lidar to Acquire the Depth Image of Shallow Semitransparent Media With a Wide Laser Pulse by Lu Xu, Xu Yang, Long Wu, Chenfei Jin, Yijia Zhang

“…Signal restoration & center-of-mass algorithm method is used to restrain the range walk error and obtain high range precision. …”
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Unregistered Biological Words Recognition by Q-Learning with Transfer Learning by Fei Zhu, Quan Liu, Hui Wang, Xiaoke Zhou, Yuchen Fu

“…As the identification process can be viewed as a Markov process, we put forward a Q-learning with transfer learning algorithm to detect unregistered biological words from texts. …”
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Study on the Optimization of <i>b</i>-Value for Analyzing Weld Defects in the Primary System by Do-Yun Jung, Young-Chul Choi, Byun-Young Chung

“…This study presents a method to add a crack analysis algorithm to the Acoustic Leak Monitoring System (ALMS) to detect and evaluate the crack growth process in the primary system piping of nuclear power plants. …”
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PDCNN: FRAMEWORK for Potato Diseases Classification Based on Feed Foreword Neural Network by Israa Mohammed Hassoon, Samar Amil Qassir, Musaab Riyadh

“…The presented PDCNN framework comprises three levels: the pre-processing is first level, which is based on K-means clustering algorithm to detect the infected area from potato image. …”
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cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values by Luigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti

“…With the advent of high-dimensional multivariate data in many applied fields, these methods are able to detect a much lower-dimensional structure, often represented via a sparse conditional independence graph. …”
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The cost-effectiveness of different diagnostic options of TB among HIV-infected patients by V. E. Shumlyanskaya, A. V. Rudakova

“…Diagnostic of active tuberculosis among HIV – infected people is difficult problem, demanding of significant healthcare costs.The objective: to evaluate the cost-effectiveness of different diagnostic scenarios detecting tuberculosis among HIVinfected.Material and methods: the evaluation was carried out through modeling, from the health care system perspective, in cohorts with different CD 4+ counts (&lt;200, 200–499, &gt;500). …”
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Advancements in Bio‐Integrated Flexible Electronics for Hemodynamic Monitoring in Cardiovascular Healthcare by Ke Huang, Zhiqiang Ma, Bee Luan Khoo

“…Additionally, the review highlights the role of artificial intelligence algorithms and their practical applications in bio‐integrated electronics for hemodynamic detection. …”
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