Object-field. The multi-resolution study of topological optimization by Samuel Bernier-Lavigne

Subjects: “…object-field…”
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Neutrality and the Dutch Objection Procedure by Marc Wever, Albert T. Marseille

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Improvement of rock surface roughness accuracy by combining object space resolution error and 3D point cloud features by Jiang Yuan, Qing Wang, Qinzheng Yang, Yongqiang Fan, Weining Jiao

“…The analysis at profile intervals of 0.25 mm, 0.5 mm, and 1 mm revealed a strong correlation between JRC accuracy and three parameters: object space resolution error, spatial distance between point cloud points, and spatial errors of checkpoints on the orientation board. …”
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A Comparative Analysis of Spatial Resolution Sentinel-2 and Pleiades Imagery for Mapping Urban Tree Species by Fabio Recanatesi, Antonietta De Santis, Lorenzo Gatti, Alessio Patriarca, Eros Caputi, Giulia Mancini, Chiara Iavarone, Carlo Maria Rossi, Gabriele Delogu, Miriam Perretta, Lorenzo Boccia, Maria Nicolina Ripa

“…Recent advances in remote sensing, especially high-resolution multispectral imagery and object-based image analysis (OBIA), offer efficient alternatives for mapping urban vegetation. …”
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A Wideband Chemical Survey of Massive Star-forming Regions at Subarcsecond Resolution with the Submillimeter Array by Charles J. Law, Qizhou Zhang, Arielle C. Frommer, Karin I. Öberg, Roberto Galván-Madrid, Eric Keto, Hauyu Baobab Liu, Paul T. P. Ho, Andrés F. Izquierdo, L. Ilsedore Cleeves

Subjects: “…Young stellar objects…”
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Arbitration in Administrative Affairs: The Enlargement Scope of Ratione Materiae in Portugal by Marta Portocarrero

Subjects: “…alternative dispute resolution, administrative arbitration, arbitration procedure, objective arbitrability, Portugal…”
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Purpose, subject matter and objectives of forensic medicine by O. S. Moiseyenko

“…It has been generalised that forensic medical examination as a subject of forensic medicine is a scientific and practical research carried out by specially trained specialists with the aim of providing an objective assessment of medical issues in cases brought before a court. …”
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THE COLORIMETRY WITH A HIGH DIMENSIONAL RESOLUTION by I. E. Zuikov, E. N. Savkova

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LittleFaceNet: A Small-Sized Face Recognition Method Based on RetinaFace and AdaFace by Zhengwei Ren, Xinyu Liu, Jing Xu, Yongsheng Zhang, Ming Fang

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Small Object Detection with Multiscale Features by Guo X. Hu, Zhong Yang, Lei Hu, Li Huang, Jia M. Han

“…The detection models can get better results for big object. However, those models fail to detect small objects that have low resolution and are greatly influenced by noise because the features after repeated convolution operations of existing models do not fully represent the essential characteristics of the small objects. …”
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On the Multimodal Resolution of a Search Sequence in Virtual Reality by Nils Klowait

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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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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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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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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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