Efficient Semantic Segmentation of Remote Sensing Images Through Global-Local Feature Integration by Fengyi Zhang, Xiuyu Xia

“…Subsequently, the model gradually increases the image resolution through a series of upsampling steps, reconstructing a high-resolution version of the image. …”
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“Habari, Colleague!”: A Qualitative Exploration of the Perceptions of Primary School Mathematics Teachers in Tanzania Regarding the Use of Social Robots by Edger P. Rutatola, Koen Stroeken, Tony Belpaeme

“…Thirteen teachers from six schools in both rural and urban settings observed pupils learning with a social robot. They reported their views during qualitative interviews. …”
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A Multi-Source Circular Geodesic Voting Model for Image Segmentation by Shuwang Zhou, Minglei Shu, Chong Di

“…While convolutional neural networks (CNNs) have achieved notable success by learning representative features from large datasets, they often lack geometric priors and global object information, limiting their accuracy in complex scenarios. …”
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Students’ visual thinking ability in solving the integral problem by Ummu Sholihah, Maryono Maryono, Maryono Maryono

“…Visual thinking plays an essential role in solving problems and in learning mathematics. Many students do not understand how to graphically or geometrically represent problems and solve algebra problems. …”
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CHARACTER BUILDING ANAK USIA DINI MELALUI OPTIMALISASI FUNGSI PERMAINAN TRADISIONAL BERBASIS BUDAYA LOKAL by Rifa Suci Wulandari, Hestri Hurustyanti

“…The research analysis used was qualitative analysis using the following steps: (1) Collecting the data through observation, interview, and attitude scale test, (2) Reducing the data, (3) Presenting the data, and (4) Concluding and verifying. …”
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Developing a Design Approach from Scenario to Space in Interior Architecture Education via the Scamper Method: Christy Brown Example by H. Özlem Yurtgün

“…The method encompasses nine key steps: Substitute, Combine, Adapt, Modify, Minify, Magnify, Put to Another Use, Eliminate, and Reverse. …”
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Professional Development Program Aimed at Physicians to Develop Drug Utilization Studies by Yacelis Dahilet Cisneros Nápoles, Pedro Milián Vázquez, Maira Quiroz Enríquez, Yaikibel Soto Navarro, Moraima Pérez Fonseca, Eidys Rodríguez Herrera

“…Discussion and presentation of essays and research projects will be used to assess learning in the program, which integrates forms of professional development including specialized conferences, self-study, postgraduate courses, workshops and consultancies. …”
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Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks by S. Marčelja

“…</p> <p>The technical part of the forecast model is provided by deep learning artificial neural networks, where I use the information sources with the strongest correlation in relation to the historical rainfall data as the inputs. …”
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Capacity Management as a Service for Enterprise Standard Software by Hendrik Müller, Sascha Bosse, Klaus Turowski

“…Therefore, we integrate knowledge discovery activities into well-known capacity planning steps, which we adapt to the special characteristics of enterprise applications. …”
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Detection of Graduation Potential in Prospective Students using the Random Forest Algorithm by Puguh Hasta Gunawan, Irving Vitra Paputungan

“…A total of 396 student records were used in this study and processed through a series of preprocessing steps, including the removal of irrelevant data and the encoding of categorical variables. …”
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Student Teachers as Future Researchers: How do Hungarian and Austrian Initial Teacher Education Systems Address the issue of Teachers as Researchers? by Csilla Pesti, János Gordon Győri, Erika Kopp

“…Many argue that everyday teaching in a classroom setting is comparable to conducting research, as teachers pursue experimenting with different strategies to teaching and learning, as they reflect on their own as well as their colleagues’ work, and as they make decisions about their future steps based on these experiences. …”
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Breast Cancer‐Derived Extracellular Vesicles Modulate the Cytoplasmic and Cytoskeletal Dynamics of Blood‐Brain Barrier Endothelial Cells by Sara Busatto, Tzu‐Hsi Song, Hyung Joon Kim, Caleb Hallinan, Michael N. Lombardo, Anat O. Stemmer‐Rachamimov, Kwonmoo Lee, Marsha A. Moses

“…These results define early steps leading to breast‐to‐brain metastasis and identify molecules that could serve as targets for therapeutic strategies for brain metastasis.…”
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Data-Driven Fault Diagnosis in Water Pipelines Based on Neuro-Fuzzy Zonotopic Kalman Filters by Esvan-Jesús Pérez-Pérez, Yair González-Baldizón, José-Armando Fragoso-Mandujano, Julio-Alberto Guzmán-Rabasa, Ildeberto Santos-Ruiz

“…The learning phase of the neuro-fuzzy systems considers only fault-free data. …”
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Dynamics Modeling for Key Performance Indicators in Higher Education Through Optimization Methods by M. Salmina, S. Munzir, I. Syahrini, V. Halfiani, S. Rizal

“…This study aims to construct a dynamic model of university KPI variables and estimate model parameters value. Several used steps to achieve goals are problem definition, variables, model formulation, prerequisite estimation, and conformity analysis. …”
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VISTA — Vision-based inspection system for automated testing of aircraft interiors: A panoramic view by Nicola Mosca, Vito Renò, Massimiliano Nitti, Cosimo Patruno, Simone Pio Negri, Ettore Stella

“…However, the adoption rate of methodologies embracing automation for manufacturing, assembly, and testing is now accelerating, with new technologies being tested to enable reliable and safe assembly and inspection steps. This paper introduces a semi-automated system for quality control during the final production steps of single-aisle aircraft, namely after the automated assembly of hatrack and sidewall elements in the passengers' area, but before any seating elements are assembled in the environment. …”
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Density-based Geometric Convergence of NeRFs at Training Time: Insights from Spatio-temporal Discretization by D. Haitz, B. Kıvılcım, M. Ulrich, M. Weinmann, M. Weinmann

“…Whereas emerging learning-based scene representations are predominantly evaluated based on image quality metrics such as PSNR, SSIM or LPIPS, only a few investigations focus on the evaluation of geometric accuracy of the underlying model. …”
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A New Mask R-CNN-Based Method for Improved Landslide Detection by Silvia Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ahamed, Basant Kumar, Ramji Dwivedi, Ganesh R. Sinha

“…This article presents a novel method of landslide detection by exploiting the Mask R-CNN capability of identifying an object layout by using a pixel-based segmentation, along with transfer learning used to train the proposed model. A data set of 160 elements is created containing landslide and nonlandslide images. …”
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Identification of dominant instability modes in power systems based on spatial‐temporal feature mining and TSOA optimization by Miao Yu, Jianqun Sun, Shuoshuo Tian, Shouzhi Zhang, Jingjing Wei, Yixiao Wu

“…Firstly, spatio‐temporal feature mining is conducted, where convolutional neural networks are employed to learn crucial local features of transient curves, and bidirectional gated recurrent unit s utilized to learn transient features over time sequences. …”
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Effectiveness of virtual fencing in a mountain environment and its impact on heifer behaviour and welfare by P. Fuchs, C.M. Pauler, M.K. Schneider, C. Umstätter, C. Rufener, B. Wechsler, R.M. Bruckmaier, M. Probo

“…Fence type did not affect heifer step count (P > 0.05), but daily lying time was 10 min longer in the VF than EF-only treatment (P = 0.001). …”
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Issues of Interpretation and Application of the Notion of “International Legal Legitimation” by A. M. Korzhenyak

“…Besides, it is important to analyse the international legal legitimation practices of particular states not only in order to study and potentially absorb their experience, but also to learn how to predict and anticipate further international legal manoeuvres of a certain country so as to be able to respond to them in a timely and appropriate manner.…”
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