Clinicopathological Study of Thyroid Swelling with High Resolution Ultrasonographic Correlation by Kumar Gaurav, Rajeev Kumar Ranjan, Gunjan, Zahid Mustafa Khan, Anima R. Xalxo, Nisha Rai

“…Background: Epidemiological data show a high frequency of thyroid nodules in the general population, with rates increasing with age. Aim and Objectives: To analyze thyroid swelling with high-resolution ultrasonographic correlation. …”
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A first attempt to model global hydrology at hyper-resolution by B. van Jaarsveld, N. Wanders, E. H. Sutanudjaja, J. Hoch, J. Hoch, B. Droppers, J. Janzing, J. Janzing, J. Janzing, R. L. P. H. van Beek, M. F. P. Bierkens, M. F. P. Bierkens

“…<p>Global hydrological models are one of the key tools that can help meet the needs of stakeholders and policy makers when water management strategies and policies are developed. The primary objective of this paper is therefore to establish a first-of-its-kind, truly global hyper-resolution hydrological model that spans a multiple-decade period (1985–2019). …”
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A human single-neuron dataset for object recognition by Runnan Cao, Peter Brunner, Nicholas J. Brandmeir, Jon T. Willie, Shuo Wang

“…Together, our extensive dataset, offering the highest spatial and temporal resolution currently available in humans, will not only facilitate a comprehensive analysis of the neural correlates of object recognition but also provide valuable opportunities for training and validating computational models.…”
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Pain in the Emergency Department with One-Week Follow-Up of Pain Resolution by C Celeste Johnston, Anita J Gagnon, Carolyn J Pepler, Patricia Bourgault

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Diffractive elements in thermal imaging monofocal dual-band objectives: design and technological aspects by G.I. Greisukh, I.A. Levin, O.A. Zakharov

“…Due to highly efficient diffractive microstructures, the longitudinal chromaticism of both objectives is reduced almost to the diffraction limit and, in combination with a low level of residual monochromatic aberrations at high light intensity, the maximum resolution is provided for uncooled microbolometers used as matrix receivers.…”
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Influence of Land Use Data Resolution on SCS Model in Runoff Simulation by WANG Menghan, HE Xiaohui, GUO Hengliang

“…In order to explore the influence of land use data with differentresolutions on SCS model for simulating rainfall and runoff and reducing the modelerror in rainfall and runoff simulation, taking the Yiluo River Basin as theresearch object, and combined with the land use data of 2005, 2010 and 2015, thispaper simulates the rainfall and runoff of these three years, and compares andanalyzes the influence of land use data sets based on different resolutions on theCN value of model parameters.The study shows that SCS model has a good simulationeffect on runoff generated by concentrated rainfall in the Yiluo river basin. …”
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A Review of House Detection from High Resolution Satellite Images by Mariam Ismael hassan, Loay E. George

“…Topics of automatic detection of houses, object-based approaches, machine learning, and deep learning through high-resolution RGB images.…”
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DEM Resolution Impact on the Estimation of the Physical Characteristics of Watersheds by Using SWAT by Waranyu Buakhao, Anongrit Kangrang

“…A digital elevation model (DEM) is an important spatial input for automatic extraction of topographic parameters for the soil and water assessment tool (SWAT). The objective of this study was to investigate the impact of DEM resolution (from 5 to 90 m) on the delineation process of a SWAT model with two types of watershed characteristics (flat area and mountain area) and three sizes of watershed area (about 20,000, 200,000, and 1,500,000 hectares). …”
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A review of state-of-the-art resolution improvement techniques in SPECT imaging by Zhibiao Cheng, Ping Chen, Jianhua Yan

“…This survey offers a thorough overview of the rapid advancements in resolution enhancement techniques within the field of SPECT, with the objective of identifying the most recent trends. …”
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Feature enhanced cascading attention network for lightweight image super-resolution by Feng Huang, Hongwei Liu, Liqiong Chen, Ying Shen, Min Yu

“…Extensive experiments on benchmark datasets demonstrate that FECAN outperforms state-of-the-art lightweight SR networks in terms of objective evaluation metrics and subjective visual quality. …”
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Issues of Defining Administrative and Tort Relations as an Object of Legal Research by O. V. Panasiuk

“…The following stages of administrative and tort relations have been distinguished: initiation of the case, consideration and resolution of the case, execution of the decision (resolution) in the case, appeal and protesting the resolution. …”
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Multi-Objective Genetic Algorithm for Task Assignment on Heterogeneous Nodes by Carolina Blanch Perez del Notario, Rogier Baert, Maja D'Hondt

“…Moreover, targeting the optimization of multiple objectives makes it even more challenging. This paper presents a task assignment strategy based on genetic algorithms in which multiple and conflicting objectives are simultaneously optimized. …”
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Improved CenterNet for Accurate and Fast Fitting Object Detection by Huimin He, Qionglan Na, Dan Su, Kai Zhao, Jing Lou, Yixi Yang

“…In addition, the lightweight receptive field enhancement module is proposed for the deep layer features to further enhance the characterization power of global features and generate more accurate heatmaps. Finally, the high-resolution feature fusion network with iterative aggregation is designed to reduce the loss of spatial semantic information in subsampling and further improve the accuracy of small and occlusion objects. …”
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Flood hazard simulation and mapping using digital elevation models with different resolutions by G.R. Puno, R.C.C. Puno, I.V. Maghuyop

“…BACKGROUND AND OBJECTIVES: Fine topographic information is a key input parameter for a detailed flood simulation and mapping. …”
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Enabling Super-Resolution for Automotive Imaging Radars in the Presence of Antenna Calibration Errors by Ionela-Cristina Voicu, Filip Rosu

“…Radar is an essential technology for Advanced Driving Assistance Systems (ADAS), used to accurately localize objects even in unfavorable weather conditions. Most radar systems that are now being produced for ADAS provide either 3D or 4D point clouds, containing range, Doppler, azimuth, and elevation information for every detected point target. …”
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The study on multi-defect detection for leather using object detection techniques by Hasan Onur Ataç, Ahmet Kayabaşı, M. Fatih Aslan

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VSRDiff: Learning Inter-Frame Temporal Coherence in Diffusion Model for Video Super-Resolution by Linlin Liu, Lele Niu, Jun Tang, Yong Ding

“…Video Super-Resolution (VSR) aims to reconstruct high-quality high-resolution (HR) videos from low-resolution (LR) inputs. …”
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Conflict Resolution Strategies and Social Cohesion of Local Communities in Kyanamira Subcounty, Kabale District by Barigye, Samuel

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Scale-Consistent and Temporally Ensembled Unsupervised Domain Adaptation for Object Detection by Lunfeng Guo, Yizhe Zhang, Jiayin Liu, Huajie Liu, Yunwang Li

“…Specifically, we introduce Cross-Scale Prediction Consistency (CSPC) to enforce consistent detection across multiple resolutions, improving detection robustness for objects of varying scales. …”
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Filtering Data of High-Resolution Terrestrial Laser Scanner and Effects of Filtrations on the Landslide Monitoring by Mustafa Zeybek, İsmail Şanlıoğlu, Aşır Genç

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