Faster R-CNN-based Detection and Tracking of Hydrogen and Oxygen Bubbles in Alkaline Water Electrolysis by Kohei TOYAMA, Ryo KANEMOTO, Ryuta MISUMI, Takuto ARAKI, Shigenori MITSUSHIMA

“…This method enables accurate, rapid, and automatic quantitative evaluation of visualization results from various alkaline water electrolysis observations, which were previously difficult and labor-intensive to perform manually.…”
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Performance Analysis of a 90mm Multi Launcher Missile System Integrated with Radar for Vital Object Air Defense Against High Speed and Stealth Aerial Threats by Nur Rachman Supadmana Muda

“…This study was designed as an experimental research with a quantitative approach, where variables such as flight speed, navigation deviation, and fire accuracy were systematically measured. …”
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A Wearable Functional Near-Infrared Spectroscopy (fNIRS) System for Obstructive Sleep Apnea Assessment by Xude Huang, Jinbu Tang, Jingchun Luo, Feng Shu, Chen Chen, Wei Chen

“…Permutation entropy(PE), for quantitative measuring the complexity of time series, is firstly involved to characterize the features of the physiological signals. …”
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Study of the Stability of Factor VIII Activity in Human Plasma for Fractionation When Modeling Deviations in the Storage and Transportation Temperature Conditions by A. A. Gorodkov, A. L. Poptsov, A. L. Khokhryakov

“…Quantitative evaluation of the results was carried out by comparing factor VIII activity in the plasma before freezing and in the tested plasma. …”
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STRESS, an automated geometrical characterization of deformable particles for in vivo measurements of cell and tissue mechanical stresses by Ben Jeffrey Gross, Johannes Richard Soltwedel, Elijah Shelton, Carlos Gomez, Otger Campàs

“…The automated nature of the analysis will help users obtain quantitative information about mechanical stresses in a wide range of 3D multicellular systems, from developing embryos or tissue explants to organoids.…”
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Skin lesion segmentation with a multiscale input fusion U-Net incorporating Res2-SE and pyramid dilated convolution by Zhihui Liu, Jie Hu, Xulu Gong, Fuzhong Li

“…Ablation studies confirm the effectiveness of its main modules. Both quantitative and qualitative analyses demonstrate MRP-UNet’s superiority over state-of-the-art methods. …”
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Neural Network Models for Ionospheric Electron Density Prediction at a Fixed Altitude Using Neural Architecture Search by Yang Pan, Mingwu Jin, Shun‐Rong Zhang, Simon Wing, Yue Deng

“…In this work, we propose to use neural architecture search (NAS), an automatic machine learning method, to mitigate this problem. …”
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A Review on the Few-Shot SAR Target Recognition by Junjun Yin, Changxian Duan, Hongbo Wang, Jian Yang

“…Finally, it examines both qualitative and quantitative aspects of SAR automatic target recognition technology utilizing few-shot learning, highlights certain challenges and crucial issues that require great attention, and offers a perspective on future research opportunities.…”
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The Effects of Deep Brain Stimulation on Balance in Parkinson’s Disease as Measured Using Posturography—A Narrative Review by Bradley Lonergan, Barry M. Seemungal, Matteo Ciocca, Yen F. Tai

“…We also critically appraise the quantitative measures and analyses used in these studies. …”
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Recognition of Handwritten Characters in Birch-Bark Manuscripts via Object Detection by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

“…The automatic transcription of medieval birch-bark manuscripts remains a bottleneck in Slavic paleography and digital humanities. …”
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Third Ventricle Width Measurements Based on YOLO and Localized Intensity Features by Xiao Zhou, Ao Wan, Xingang Mou, Hongling Gao, Zheng Xue

“…Transcranial ultrasound (TCS) imaging can quantitatively measure third ventricle width (TVW) in Parkinson’s (PD) patients, helping physicians detect cognitive dysfunction in PD patients as early as possible. …”
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Research on the Visual Management System for Locomotive Depot Operations Based on Electronic Maps by LI Hui

“…Current production management mode in locomotive depot faces multiple challenges: difficulties to locate and track the locomotives and operators accurately assessments of the locomotive operation quality quantitatively, and the inability of remote management of operation and maintenance equipment. …”
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Optimal Indocyanine Green Dosage for Repetitive Angiography for Laparoscopic Colorectal Surgery by Gyung Mo Son, Sang-Ho Park, Nam Su Kim, Mi Sook Yun, In Young Lee, Myeong-Sook Kwon, Tae Kyun Kim, Eun Hwa Lee, Eun Jung Hwang, Kwang-Ryul Baek

“…Additionally, a conventional dose of 0.2 mg/kg was administered in the same patients more than 30 min after the initial dose. For quantitative analysis, the fluorescent expression region was extracted, and fluorescence intensity was analyzed using automatic image processing. …”
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Simultaneous determination of 22 volatile organic compounds in urine of automotive spray painting workers using static headspace gas chromatography-mass spectrometry by Mengmeng LIU, Junyu PAN, Baofeng LIU, Qiang ZENG

“…Sensitivity was enhanced by optimizing the quantitative ions. The signal response of VOCs was improved by optimizing the headspace equilibrium temperature, equilibrium time, and the amount of inorganic salt added. …”
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Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture by Arnick Abdollahi, Biswajeet Pradhan, Shilpa Gite, Abdullah Alamri

“…Building extraction with high accuracy using semantic segmentation from high-resolution remotely sensed imagery has a wide range of applications like urban planning, updating of geospatial database, and disaster management. However, automatic building extraction with non-noisy segmentation map and obtaining accurate boundary information is a big challenge for most of the popular deep learning methods due to the existence of some barriers like cars, vegetation cover and shadow of trees in the high-resolution remote sensing imagery. …”
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Proactive Cyber Resilience: A Unified Assessment Methodology for Incident Forecasting With Cyber Threat Intelligence Integration by Hayat Abdulla Asad Cue, Thirimachos Bourlai, Mark Lupo

“…The second phase of our research integrates Cyber Threat Intelligence (CTI) gathered from industry data into the CIS Controls v8.1 quantitative assessment, through automatic mapping and risk categorization. …”
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Lithological Identification Method and Application of Bauxite Rocks in Ordos Basin by GUO Xiaokai, SUN Xiaoping, DI Shuhua, HU Cong, ZHANG Zewen, LIU Die, HU Ming

“…Conventional logging is used to form a fast identification method for aluminum bearing rocks based on acoustic time difference and natural gamma envelope area, as well as an automatic identification technology for lithologies based on Fisher discrimination. …”
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Quantification of training‐induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females by Saied Ramedani, Ebru Kelesoglu, Norman Stutzig, Hendrik Von Tengg‐Kobligk, Keivan Daneshvar Ghorbani, Tobias Siebert

“…In this study we developed a novel automatic machine learning approach for volumetric segmentation and quantitative assessment of MRI volumes and investigated the efficacy of using a machine learning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bone volume of the thigh before and after a strength training. …”
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Pedestrian trajectory prediction via physical-guided position association learning by Yueyun Xu, Hongmao Qin, Yougang Bian, Rongjun Ding

“…Pedestrian trajectory prediction possesses huge application value in automatic driving, robots, and video surveillance. …”
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Evidence on the therapeutic role of thiolutin in imiquimod‐induced psoriasis‐like skin inflammation in mice by Aixue Wang, Xixing Ma, Feng Wei, Yanling Li, Qiang Liu, Huanhuan Zhang

“…Alanine aminotransferase, aspartate aminotransferase, blood urea nitrogen, and blood creatinine were measured by automatic biochemistry analyzer. The size of the spleens was determined, and the proportion of Foxp3 + CD4+ regulatory T (Treg) cells in the spleens was tested by flow cytometry. …”
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