Construction of Mining Subsidence Basin and Inversion of Predicted Subsidence Parameters Based on UAV Photogrammetry Products Considering Horizontal Displacement by Jinqi Zhao, Yufen Niu, Zhengpei Zhou, Zhong Lu, Zhimou Wang, Zhaojiang Zhang, Yiyao Li, Ziheng Ju

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Optimization-Incorporated Deep Learning Strategy to Automate L3 Slice Detection and Abdominal Segmentation in Computed Tomography by Seungheon Chae, Seongwon Chae, Tae Geon Kang, Sung Jin Kim, Ahnryul Choi

“…Evaluation of CT data from 150 prostate and bladder cancer patients showed that the optimized models reduced the slice detection error to approximately 0.68 ± 1.26 slices and achieved a Dice coefficient of up to 0.987 ± 0.001 for abdominal tissue segmentation-improvements over the models that did not consider correction design variables. …”
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Event segmentation in ADHD: neglect of social information and deviant theta activity point to a mechanism underlying ADHD by Christian Beste, Veit Roessner, Astrid Prochnow, Xianzhen Zhou, Foroogh Ghorbani, Bernhard Hommel

“…Concomitantly recorded electroencephalography (EEG) data were analysed for differences in frequency band activity and effective connectivity between brain areas.Results Compared with their NT peers, the ADHD group showed less dependence of their segmentation behaviour on social information, indicating that they did not consider social information to the same extent as their unaffected peers. …”
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DSMF-Net: Dual Semantic Metric Learning Fusion Network for Few-Shot Aerial Image Semantic Segmentation by Xiyu Qi, Yidan Zhang, Lei Wang, Yifan Wu, Yi Xin, Zhan Chen, Yunping Ge

“…In this article, we propose to tackle these challenging problems via dual semantic metric learning and multisemantic features fusion and introduce a novel few-shot segmentation Network (DSMF-Net). On the one hand, we consider the inherent semantic gap between the feature of graph and grid structures and metric learning of few-shot segmentation. …”
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Providing a New Approach for Segmenting Customers Based on Their Purchasing Behavior Change over Time in Electronic Business by Samira KHodabandehlou, Mahmoud Zivari Rahman

“…Usual methods of segmentation have been designed, relying solely on the components of Recency (R), Frequency (F) and Monetary (M) in which customers’ behavior changes over time are not considered. …”
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Generation and Classification of Novel Segmented Control Charts (SCC) Based on Hu’s Invariant Moments and the K-Means Algorithm by Roberto Baeza-Serrato

“…This research proposes a novel segmented control chart (SCC) that considers each measurement of the samples, expressed in matrix form. …”
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Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation. by Iran Sarafraz, Hamed Agahi, Azar Mahmoodzadeh

“…CNN is considered an efficient tool in brain image segmentation. …”
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High-risk electrocardiogram presentations in the acute coronary syndrome patient – Beyond ST-segment elevation myocardial infarction by William J Brady, Andrew E. Muck, James H Moak

“…This review considers high-risk electrocardiographic patterns in the acute coronary syndrome (ACS) patient; we review 7 electrocardiogram presentations lacking diagnostic criteria for ST-segment elevation myocardial infarction (STEMI) yet likely representing either STEMI equivalent syndromes or ACS presentations with significant short-and long-term risk. …”
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Renal involvement due to pigment casts in a patient with sickle cell disease, not everything is focal and segmental glomerulosclerosis by Lina M. Garzón, Edgar H. Dominguez, Nancy Janeth Vargas, Luz M. Mejía

“…A renal biopsy was performed, revealing focal segmental glomerulosclerosis (FSGS), severe acute tubular necrosis, interstitial fibrosis with moderate tubular atrophy, and pigment casts. …”
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Successful Correction of Crossbite with Multi-Segment Le Fort I Osteotomy in a Patient with Cleft Lip and Palate by Naoko Nemoto, Hitoshi Kawanabe, Akihiko Oyama

“…<b>Conclusions</b>: This case is considered of great medical significance, as there have been few reports of cases showing a stable course.…”
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VISSIM-Based Simulation and Analysis of Upstream Segments in Ramp Areas for Optimizing Vehicle Group Lane-Changing Behaviors by Haijian Li, Zhufei Huang, Xiaofang Zou, Shuo Zheng, Yanfang Yang

“…The traffic congestion in ramp areas is becoming increasingly prominent. In the upstream segments of ramp areas, effective management and control of lane-changing behaviors can improve the road capacity and make full use of the existing road resource. …”
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Automatic Segmentation of the Human Ear Using Active Contour and GrabCut Synergy Based on the Superpixel Cluster Regions by Bahadır Karasulu

“…Manual, semi-automatic, or fully automatic segmentation of the ear region in various methods related to the use of the ear region in obtaining biometric information is an important area of research. …”
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Decoding user readiness for sustainable AI adoption: A behavioural approach through technology readiness segmentation (TRS) by Munmun Ghosh

“…As AI-built systems increasingly take over our everyday lives, we must understand and gauge the factors influencing their adoption, ensuring an inclusive and sustainable technology uptake.The study examines the key drivers influencing the adoption of AI-based technologies and investigates how user segmentation, based on Technology Readiness Segmentation (TRS), moderates the adoption process. …”
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Bilateral blindness in a cat after a dental procedure, suspected to be due to segmental chorioretinal ischaemia necrosis by Cleo Guerreiro, Christine Heinrich, Karen Walsh

“…Bilateral blindness was confirmed on ocular examination, with fundoscopy revealing segmental wedge-shaped areas of retinal oedema and partial non-rhegmatogenous retinal detachments. …”
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Enhancing Treatment Efficiency: Investigating the Optimal Segment Width in Volumetric Modulated Arc Therapy for Prostate Cancer Management by Gleetus Thimothy, Mary Joan, Anuj Vijay

“…Context: The minimum segment width (MSW) is a critical element in designing optimal apertures and creating segments of various sizes and shapes in radiation treatment planning. …”
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A digital pathology workflow for the segmentation and classification of gastric glands: Study of gastric atrophy and intestinal metaplasia cases. by Panagiotis Barmpoutis, William Waddingham, Jing Yuan, Christopher Ross, Hamzeh Kayhanian, Tania Stathaki, Daniel C Alexander, Marnix Jansen

“…Then, features of the segmented glands and mucosa are extracted and analyzed. …”
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Deep Learning-Based Analysis of Ocular Anterior Segment Diseases from Patient-Self-Captured Smartphone Images by Byoungyoung Gu, Mark Christopher, Su-Ho Lim, Sally L. Baxter

“…The goal of this study is to evaluate the Eye Home Clinic app (ver 1.0), which uses deep learning models to assess the quality of self-captured anterior segment images and detect anterior segment diseases using only the patient’s smartphone. …”
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High genetic variability of Schmallenberg virus M-segment leads to efficient immune escape from neutralizing antibodies. by Kerstin Wernike, Ilona Reimann, Ashley C Banyard, Franziska Kraatz, S Anna La Rocca, Bernd Hoffmann, Sarah McGowan, Silke Hechinger, Bhudipa Choudhury, Andrea Aebischer, Falko Steinbach, Martin Beer

“…We studied a series of M-segments of those SBV variants from malformed fetuses with point mutations, insertions or large in-frame deletions of up to 612 nucleotides. …”
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Alpine, Variscan, eo-Variscan belts: comparison between hot and cold orogens from the examples of French segments by Faure, Michel

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Feasibility, Safety, and Efficacy of Segmental Spinal Anesthesia with Predominantly Isobaric Levobupivacaine: A Tertiary Care Hospital Study by Lalit Goyal, Saloni Gupta, Sachin Nagar, Vinay Bhargava

“…Objective: To assess feasibility, safety, and efficacy of segmental spinal anesthesia with isobaric levobupivacaine in patients undergoing various abdominal and lower limb surgeries. …”
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