Automated orofacial virtual patient creation using two cohorts of MSCT vs. CBCT scans by Thanatchaporn Jindanil, Oana-Elena Burlacu-Vatamanu, Benedetta Baldini, Joeri Meyns, Jeroen Meewis, Rocharles Cavalcante Fontenele, Maria Cadenas de Llano Perula, Reinhilde Jacobs

“…This study primarily aimed to automatically create VP from facial scans (FS), intraoral scans (IOS), multislice (MSCT), and cone beam computed tomography (CBCT); Secondarily, to quantitatively compare artificial intelligence (AI)-driven, AI-refined and semi automatically registered (SAR) VP creation from MSCT and CBCT and to compare the effect of soft tissue on the registration with MSCT and CBCT. …”
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Automated Sentinel-1 sea ice type mapping and in-situ validation during the CIRFA-22 cruise by Johannes Lohse, Catherine Taelman, Alistair Everett, Nicholas Edward Hughes

“…We evaluate the results both quantitatively, based on manually selected validation regions, and qualitatively in comparison to in-situ observations and photographs. …”
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Automating areas of interest analysis in mobile eye tracking experiments based on machine learning by Julian Wolf, Stephan Hess, David Bachmann, Quentin Lohmeyer, Mirko Meboldt

“…This makes mobile eye tracking studies with several hours of recording difficult to analyse quantitatively. We introduce a new machine learning-based algorithm, the computational Gaze-Object Mapping (cGOM), that automatically maps gaze data onto respective AOIs. cGOM extends state-of-the-art object detection and segmentation by mask R-CNN with a gaze mapping feature. …”
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Large field-of-view event-mode camera for high-precision epithermal neutron resonance imaging by Tsviki Y. Hirsh, Alexander M. Long, Adrian S. Losko, Tim T. Jaeger, Alexander Wolfertz, Sven C. Vogel

“…We demonstrate the system’s capability for quantitatively determining isotopic distributions in various thin samples, as well as automatically reconstructing complex scenes with overlapping resonances from diverse samples. …”
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Static detection method for multi-level network source code vulnerabilities based on knowledge graph technology by Peng Xiao, Lina Zhang, Ying Yan, Zhenhong Zhang

“…By introducing knowledge graph information and combining word embedding with knowledge embedding, named entities are automatically identified from the preprocessed vulnerability data set. …”
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Deep Learning-Based Detection and Assessment of Road Damage Caused by Disaster with Satellite Imagery by Jungeun Cha, Seunghyeok Lee, Hoe-Kyoung Kim

“…This study aims to propose a deep learning-based framework to automatically detect and quantitatively assess road damage using high-resolution pre- and post-disaster satellite imagery. …”
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Distributionally Robust Optimization Based Restoration for Integrated Electricity-Gas Systems Incorporating Wind Power and Flexible Reserve Capacity Allocations by Jingyang Yun, Hongyan Ma, Zheng Yan

“…The proposed model can realize the reasonable scheduling of wind power, automatically determine the allocation of the required FRC, and optimize the load restoration schemes. …”
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Effect of Droplet Contamination on Camera Lens Surfaces: Degradation of Image Quality and Object Detection Performance by Hyunwoo Kim, Yoseph Yang, Youngkwang Kim, Dong-Won Jang, Dongil Choi, Kang Park, Sangkug Chung, Daegeun Kim

“…These sensors are often integrated with intelligent algorithms to automatically analyze information and perform specific functions. …”
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Comprehensive safety evaluation of mines based on entropy weight and set pair analysis method by LI Jie, CUI Pengzhi, HE Yafei, WANG Chuanxing, XI Yimiao, YANG Xiaobin, LIU Shun

“…The existing mine safety evaluation methods adopt relatively simple evaluation indicators and cannot quantitatively analyze the uncertainty degree of various indicators, resulting in significant limitations in practical engineering applications. …”
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Fuzzy Rule-Based Combination Model for the Fire Pixel Segmentation by Alberto Lopez-Alanis, Hector de-la-Torre-Gutierrez, Arturo Hernandez-Aguirre, Maria T. Orvananos-Guerrero

“…The proposed approach automatically learns the optimal set of fuzzy operators and rules for fire detection to construct a combined model. …”
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RootTracer: An intuitive solution for root image annotation by Maichol Dadi, Annalisa Franco, Giuseppe Sangiorgi, Silvio Salvi, Alessandra Lumini

“…Analyzing root growth quantitatively is increasingly vital for evaluating a plant's resilience to abiotic stresses and its efficiency in nutrient and water absorption. …”
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A Trend Forecasting Method for the Vibration Signals of Aircraft Engines Combining Enhanced Slice-Level Adaptive Normalization Using Long Short-Term Memory Under Multi-Operating Co... by Jiantao Lu, Kuangzhi Yang, Peng Zhang, Wei Wu, Shunming Li

“…Moreover, the slice length is quantitatively estimated by the fixed points in <i>L</i>₁ filtering, and a tail amendment technology is added to expand the applicable range of enhanced SAN. …”
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Objective Identification Method of Cold-Front Precipitation in Winter Half Years over East Asia by Shuya He, Yujing Qin, Chuhan Lu, Mengru Feng

“…Based on the dataset of cold fronts and frontal zones, this method automatically distinguishes the precipitation area affected by cold fronts to quantitatively estimate cold-front precipitation. …”
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Technology to improve reliable access to oxygen in Western Uganda: study protocol for a phased implementation trial in neonatal and paediatric wards by Graham Moore, Hamish Graham, Rami Subhi, Sheillah Bagayana, Joseph Mugerwa, David Peake, Eleanor Nakintu, Daniel Murokora, Roger Rassool, Marc Sklar, Bryn Sobott

“…FREO2 Foundation Australia has developed an integrated oxygen system, driven by a mains-powered oxygen concentrator, with the ability to switch automatically between low-pressure oxygen storage device and cylinder oxygen in power interruptions. …”
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Smart deworming collar: A novel tool for reducing Echinococcus infection in dogs. by Shi-Jie Yang, Ning Xiao, Jing-Zhong Li, Yu Feng, Jun-Ying Ma, Gong-Sang Quzhen, Qing Yu, Ting Zhang, Shi-Cheng Yi, Zhao-Hui Luo, Hua-Sheng Pang, Chuang Li, Zhuo-Li Shen, Ke-Sheng Hou, Bin-Bin Zhang, Yi-Biao Zhou, Hong-Lin Jiang, Xiao-Nong Zhou

“…We developed a smart Internet of Things (IoT)-based deworming collar which can deliver PZQ baits for dogs automatically, regularly, quantitatively with predominant characteristics of being waterproof, anti-collision, cold-proof and long life battery. …”
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Impact of #PCOSweightloss: A global X hashtag analysis study of weight loss narratives in the PCOS community by Munaza Afaq, Kumar Vashisht, Areen Al-Dhoon, Divya Abraham, Atanas G. Atanasov, Maima Matin, Zara Arshad, Rahul Kashyap, Faisal A. Nawaz

“…Methods Fedica research analytics tool ( https://fedica.com ) was utilized to automatically evaluate quantitatively the posts on the platform X containing #PCOSweightloss from July 1st, 2017 to July 1st, 2023. …”
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Monitoring Over Time of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients Through an Ensemble Vision Transformers‐Based Model by Maria Colomba Comes, Annarita Fanizzi, Samantha Bove, Luca Boldrini, Agnese Latorre, Deniz Can Guven, Serena Iacovelli, Tiziana Talienti, Alessandro Rizzo, Francesco Alfredo Zito, Raffaella Massafra

“…Dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI)‐acquired pre‐ and mid‐treatment quantitatively capture information about tumor heterogeneity as potential earlier indicators of pathological complete response (pCR) to NAC in breast cancer. …”
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OCT Angiography Analysis of Retinal and Choroidal Flow after Proton Beam Therapy for Choroidal Melanoma by Su-Kyung Jung, MD, Edward H. Lee, MD, Kavita K. Mishra, MD, Inder K. Daftari, PhD, Susanna S. Park, MD, PhD

“…All vascular density (VD) measurements were obtained automatically using the OCTA software, except choriocapillaris VD, which was quantitated using ImageJ. …”
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Towards harmonized holmium-166 SPECT image quality for dosimetry: a multi-center, multi-vendor study by Lovisa E. L. Westlund Gotby, Martina Stella, Camille D. E. Van Speybroeck, Daphne Lobeek, Floris H. P. van Velden, Mette K. Stam, Petra Dibbets-Schneider, Daphne M. V. de Vries-Huizing, Erik-Jan Rijkhorst, Berlinda J. de Wit-van de Veen, Roel Wierts, Rob van Rooij

“…Abstract Background Reliable dosimetry based on SPECT/CT imaging is essential to achieve personalized 166Ho-radioembolization treatment planning and evaluation. This study quantitatively evaluates multiple acquisition and reconstruction protocols for 166Ho-SPECT imaging based on data from five Dutch hospitals. …”
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