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Journal articles on the topic 'Architectural net'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Eisenstat, Joshua, Matthias W. Wagner, Logi Vidarsson, Birgit Ertl-Wagner, and Dafna Sussman. "Fet-Net Algorithm for Automatic Detection of Fetal Orientation in Fetal MRI." Bioengineering 10, no. 2 (2023): 140. http://dx.doi.org/10.3390/bioengineering10020140.

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Identifying fetal orientation is essential for determining the mode of delivery and for sequence planning in fetal magnetic resonance imaging (MRI). This manuscript describes a deep learning algorithm named Fet-Net, composed of convolutional neural networks (CNNs), which allows for the automatic detection of fetal orientation from a two-dimensional (2D) MRI slice. The architecture consists of four convolutional layers, which feed into a simple artificial neural network. Compared with eleven other prominent CNNs (different versions of ResNet, VGG, Xception, and Inception), Fet-Net has fewer arc

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Liu, Zhaoxuan. "Image Recognition and Enhancements of the U-Net Model." Applied and Computational Engineering 172, no. 1 (2025): 164–73. https://doi.org/10.54254/2755-2721/2025.gl24843.

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Image segmentation, a core computer vision task, aims to partition digital images into semantically distinct regions. To accomplish these tasks, the U-Net architecturea deep learning neural network enabling automated, high-precision segmentationwas developed. While U-Net derivatives have expanded into interdisciplinary domains like remote sensing, meteorological monitoring, agricultural disease detection, and geological exploration, the original architecture no longer satisfies the precision demands of modern medical segmentation and remote sensing applications, yet unexplored architectural in

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Rodrigues, Nuno F., and Luís S. Barbosa. "Architectural Prototyping: From CCS to .Net." Electronic Notes in Theoretical Computer Science 130 (May 2005): 151–67. http://dx.doi.org/10.1016/j.entcs.2005.03.009.

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Muller, Brook. "New Horizons for Sustainable Architecture." Nature and Culture 13, no. 2 (2018): 189–207. http://dx.doi.org/10.3167/nc.2018.130201.

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In this article, I explore conceptual strategies encouraging an ecologically responsive, water-centric approach to architectural design, such that design interventions become nature/culture hybrids connecting urban dwellers to larger hydrological conditions. I consider the notion of horizons as one mechanism for working out a trajectory for sustainable architecture, one that highlights experiential and environmental concerns simultaneously. In a conceptual shift, theorist David Leatherbarrow’s treatment of “three architectural horizons” (the equipmental—the objects of one’s immediate setting;

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Takva, Cagatay, Beyza Nur Caliskan, and Fatma Zehra Cakici. "Net Positive Energy Buildings in Architectural Context." Journal of Asian Scientific Research 12, no. 3 (2022): 135–45. http://dx.doi.org/10.55493/5003.v12i3.4626.

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Considering the rapid depletion of natural resources because of increasing comfort conditions in living spaces and increasing expectations from buildings due to developing technology and climate change, today it has become inevitable to develop effective policies to meet the energy demand of buildings and to create renewable and sustainable systems. In this context, new generation building design in architecture requires regulations that reduce energy consumption, protect natural resources while considering climatic conditions and carbon emissions. In this study, buildings with net-positive en

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Sturz, Yvonne R., Manfred Morari, and Roy S. Smith. "Control of an Architectural Cable Net Geometry." IEEE Transactions on Control Systems Technology 28, no. 4 (2020): 1378–92. http://dx.doi.org/10.1109/tcst.2019.2910449.

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Abdulfatah, Aliyu, Zhang Sheng, and Yirga Eyasu Tenawerk. "U-Net-Based Medical Image Segmentation: A Comprehensive Analysis and Performance Review." Journal of Electronic Research and Application 9, no. 1 (2025): 202–8. https://doi.org/10.26689/jera.v9i1.9450.

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Medical image segmentation has become a cornerstone for many healthcare applications, allowing for the automated extraction of critical information from images such as Computed Tomography (CT) scans, Magnetic Resonance Imaging (MRIs), and X-rays. The introduction of U-Net in 2015 has significantly advanced segmentation capabilities, especially for small datasets commonly found in medical imaging. Since then, various modifications to the original U-Net architecture have been proposed to enhance segmentation accuracy and tackle challenges like class imbalance, data scarcity, and multi-modal imag

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Ramdan, Hendri, Moh Arief Soeleman, Purwanto Purwanto, Bahtiar Imran, and Ricardus Anggi Pramunendar. "Semantic segmentation of pendet dance images using multires U-Net architecture." ILKOM Jurnal Ilmiah 14, no. 3 (2022): 329–38. http://dx.doi.org/10.33096/ilkom.v14i3.1316.329-338.

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As a cultural heritage, traditional dance must be protected and preserved. Pendet dance is a traditional dance from Bali, Indonesia. Dance recognition raises a complex problem for computer vision research because the features representing the dancer must focus on the dancer's entire body. This can be done by performing a segmentation task process. One type of segmentation task in computer vision is the semantic segmentation. Mask R-CNN and U-NET were employed in this task. Since it was first introduced in 2015, semantic segmentation using the U-Net architecture has been widely adopted, develop

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Zhang, Wei, and Jian Qiu Yu. "Observation about Architecture Skin Using New Material." Advanced Materials Research 535-537 (June 2012): 1893–97. http://dx.doi.org/10.4028/www.scientific.net/amr.535-537.1893.

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This article researches the newly emerged architectural skin materials such as ETFE membranous material, paper, fabric, plastic, mental tapping board and mental weaving net, printing glass and colored glass, and various special materials. It analyses their characters and impression effects in architecture.

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Payal, Rajendra Gujar. "Architectural and Functional Differences in Dot Net Solutions." International Journal of Advance and Applied Research S6, no. 23 (2025): 200–206. https://doi.org/10.5281/zenodo.15195038.

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<em>NET is essential in the field of product creation and management. The relevance and ongoing client comments regarding their experience are described by the successive development of.NET versions. The progression of.NET to its cross-platform version, .NET core and above, differs in a number of architectural and functional ways. It is clear that.NET has played a significant role in advancing the development sector. Two indicators are the large number of open-source projects worldwide and C#'s ranking among the top five programming languages. Its widespread use will only increase, especially

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Liao, Elizabeth N., Lara Z. Chehab, Michelle Ossmann, Benjamin Alpers, Devika Patel, and Amanda Sammann. "Using Architectural Mapping to Understand Behavior and Space Utilization in a Surgical Waiting Room of a Safety Net Hospital." International Journal of Environmental Research and Public Health 19, no. 21 (2022): 13870. http://dx.doi.org/10.3390/ijerph192113870.

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Objective: To use architectural mapping to understand how patients and families utilize the waiting space at an outpatient surgery clinic in a safety-net hospital. Background: The waiting period is an important component of patient experience and satisfaction. Studies have found that patients value privacy, information transparency and comfort. However, approaches common in the architecture field have rarely been used to investigate interactions between patients and the built environment in a safety-net healthcare setting. Methods: This was a prospective observational study in a general surger

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Schmidt, Heinz, Iman Poernomo, and Ralf Reussner. "TRUST-BY-CONTRACT: MODELLING, ANALYSING AND PREDICTING BEHAVIOUR OF SOFTWARE ARCHITECTURES." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 5, no. 3 (2001): 25–51. http://dx.doi.org/10.3233/jid-2001-5304.

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Architecture description languages (ADLs) are used to specify high-level, compositional views of a software application. ADL research focuses on software composed of prefabricated parts, so-called software components. ADLs usually come equipped with rigorous state-transition style semantics, facilitating verification and analysis of specifications. Consequently, ADLs are well suited to configuring distributed and event-based systems. However, additional expressive power is required for the description of enterprise software architectures in particular, those built upon newer middleware, such a

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Sineglazov, Victor, Olena Chumachenko, and Oleksandr Pokhylenko. "BAFUNet: Hybrid U-Net for Segmentation of Spine MR Images." Electronics and Control Systems 4, no. 82 (2024): 16–22. https://doi.org/10.18372/1990-5548.82.19365.

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The paper presents the development of a hybrid neural network architecture, BAFUNet, designed for the segmentation of spine MR images in the context of medical diagnostics. The architecture builds upon the classical U-Net, integrating atrous spatial pyramid pooling module in the bottleneck and a two-round fusion module in the skip connections to address challenges such as various object scales and unclear boundaries in medical images. The work describes the design of the proposed BAFUNet architecture, its implementation, and the experimental results. A comparative analysis was performed agains

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Tjahyaningtijas, Hapsari Peni Agustin, Andi Kurniawan Nugroho, Cucun Very Angkoso, I. Ketut Edy Purnama, and Mauridhi Hery Purnomo. "Automatic Segmentation on Glioblastoma Brain Tumor Magnetic Resonance Imaging Using Modified U-Net." EMITTER International Journal of Engineering Technology 8, no. 1 (2020): 161–77. http://dx.doi.org/10.24003/emitter.v8i1.505.

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Glioblastoma is listed as a malignant brain tumor. Due to its heterogeneous composition in one area of the tumor, the area of tumor is difficult to segment from healthy tissue. On the other side, the segmentation of brain tumor MRI imaging is also erroneous and takes time because of the large MRI image data. An automated segmentation approach based on fully convolutional architecture was developed to overcome the problem. One of fully convolutional network that used is U-Net framework. U-Net architecture is evaluated base on the number of epochs and drop-out values to achieve the most suitable

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Farvin Sahapudeen, Dr Farjana, and Dr S. Krishna Mohan. "ENHANCED ATTENTION RESIDUAL PARALLEL U-NETS (EARPU) FOR LUNG TUMOR SEGMENTATION." Journal of Dynamics and Control 9, no. 3 (2025): 93–108. https://doi.org/10.71058/jodac.v9i3007.

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Precise identification and classification of diseased tissue and its adjacent healthy structures are vital in the diagnosis of conditions like lung cancer. Achieving a more accurate diagnosis necessitates a substantial amount of data. Yet, physicians often encounter challenges in manually analyzing extensive and intricate CT scan images to extract essential information. While UNet-based architectures have demonstrated superior performance in image segmentation compared to other deep learning architectures, challenges arise in segmentation accuracy due to the low resolution of medical images an

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Li, Zhou, and Hanan Aljuaid. "Integrated Design of Building Environment Based on Image Segmentation and Retrieval Technology." International Journal of Information Technologies and Systems Approach 17, no. 1 (2024): 1–14. http://dx.doi.org/10.4018/ijitsa.340774.

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Existing models still exhibit a deficiency in capturing more detailed contextual information when processing architectural images. This paper introduces a model for architectural image segmentation and retrieval based on an image segmentation network. Primarily, spatial attention is incorporated into the U-Net segmentation network to enhance the extraction of image features. Subsequently, a dual-path attention mechanism is integrated into the U-Net backbone network, facilitating the seamless integration of information across different spaces and scales. Experimental results showcase the superi

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Oržikauskas, Gytis. "SPATIAL NARRATIVE AND PERCEPTION OF SPACE IN HISTORICAL AND CONTEMPORARY ARCHITECTURAL COMPOSITIONS / ERDVINIS NARATYVAS IR FORMOS PERCEPCIJA ISTORINĖS IR ŠIUOLAIKINĖS ARCHITEKTŪROS KOMPOZICIJOSE." Mokslas - Lietuvos ateitis 5, no. 3 (2013): 289–95. http://dx.doi.org/10.3846/mla.2013.47.

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highlighted in terms of architecture of Modernism. According to the theory of modern architecture and Geschtalt Psychology, elementary geometrical forms and main spatial features were underlined and accepted as anthropomorphic principle of architecture. Even today main spatial characteristics are accepted as a key principle of architectural composition. However, architects and critics of contemporary – post-modern and deconstructive – architecture emphasize the value of architectural narrative achieved not only through perception of space, but also by its relationship to social and cultural me

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Researcher. "Optimization of Healthcare Insurance Systems Through Advanced .Net Architectural Paradigms and Cross-Platform Integration." International Journal of Finance (IJFIN) 34, no. 1 (2021): 1–13. https://doi.org/10.5281/zenodo.14598809.

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The optimization of healthcare insurance systems is paramount to enhancing accessibility, operational efficiency, and customer satisfaction in the healthcare sector. This study explores the integration of advanced .NET architectural paradigms and cross-platform solutions to achieve scalable, secure, and high-performance healthcare insurance systems. Leveraging microservices, cloud-native computing, and cutting-edge .NET frameworks, the research proposes a robust model for automating claims processing, improving data interoperability, and ensuring regulatory compliance. A hybrid integration app

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Culot, Maurice. "Les archives d’architecture privees du XXe siecle: sauvegarde et mise en valeur." Art Libraries Journal 15, no. 1 (1990): 26–32. http://dx.doi.org/10.1017/s0307472200006623.

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The architectural heritage of the 20th century is peculiarly vulnerable; partly because modern architecture broke with tradition, it is less easily recognised as being historic and worthy of preservation. Furthermore, efforts to secure public appreciation of contemporary architecture have concentrated too narrowly on the ‘International Modern’ style at the expense of the actual diversity of this century, on certain architects at the expense of others, and on the individual building, seen by itself, at the expense of the larger environment of which it is part. To see twentieth century architect

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Cudequest, Brandon. "Operable walls: where the rubber meets the mullion." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (2021): 5000–5011. http://dx.doi.org/10.3397/in-2021-2917.

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The architecture that surrounds an operable wall often determines its acoustical success. There are standard guides for detailing operable walls; however, these offer a rigid take on design aesthetics. Abstracting these principles into general goals, the designer can accommodate a variety of architectural styles. The surrounding construction should act as a safety net by providing labyrinths when seals fail or by blocking problematic flanking paths. The architecture should also ease system operation allowing users to deploy the operable wall with minimal fail rate. This paper compares several

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Masły, Dariusz. "Application of Advanced Computational Building Performance Analysis Tools in the Architectural Design of Net-Zero Energy Buildings – Case Study." Architecture, Civil Engineering, Environment 18, no. 1 (2025): 49–62. https://doi.org/10.2478/acee-2025-0004.

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Abstract Architects worldwide have been tasked with the ambitious goal of designing net-zero energy buildings. This endeavour represents one of the most significant actions in the fight against climate change. Computer-based building performance analysis tools are poised to play a pivotal role in this new approach to architectural design. This article aims to explore the process of architectural design for net-zero energy buildings (NZEBs) through the application of the latest computer-based building performance analysis tools. The research seeks to demonstrate how and at which stages of archi

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Dong, Chao, and Xi Zhao. "Bi-DAUnet: Leveraging BiFormer in a Unet-like Architecture for Building Damage Assessment." Journal of Physics: Conference Series 2833, no. 1 (2024): 012015. http://dx.doi.org/10.1088/1742-6596/2833/1/012015.

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Abstract In recent years, Convolutional Neural Networks (CNNs) have become an important research direction in the field of building damage assessment. Particularly, deep neural networks based on the U-shaped architecture and skip connections have achieved significant breakthroughs in the task of architectural damage assessment. Despite the impressive performance of CNNs, effectively capturing global and long-range semantic information remains a challenge due to the local nature of their convolutional operations. To address this issue, we propose a novel architectural damage assessment model ca

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Manghi, Paolo, Michele Artini, Claudio Atzori, et al. "The D-NET software toolkit." Program 48, no. 4 (2014): 322–54. http://dx.doi.org/10.1108/prog-08-2013-0045.

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Purpose – The purpose of this paper is to present the architectural principles and the services of the D-NET software toolkit. D-NET is a framework where designers and developers find the tools for constructing and operating aggregative infrastructures (systems for aggregating data sources with heterogeneous data models and technologies) in a cost-effective way. Designers and developers can select from a variety of D-NET data management services, can configure them to handle data according to given data models, and can construct autonomic workflows to obtain personalized aggregative infrastruc

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Qiu, Ning, Guo Yong Dai, and He Xin Lv. "A Design and Implementation of SOA-Based Online Collaborative Agreement Signing System." Advanced Materials Research 403-408 (November 2011): 2259–62. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2259.

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Service-Oriented architecture (SOA) has increasingly becoming an architectural evolution as one of the software design principles. This paper proposes an architecture design of an online collaborative agreement signing system based on SOA. The advantages over traditional designs are loose coupling, scalability and flexible combination of services. Web service model of the proposed solution is also described. Electronic seal and digital watermark are discussed as the domain knowledge as well. Sample software based on Windows Communication Foundation (WCF) technology on .NET platform is introduc

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Al-Murshidawy, Mawj Abdul-Ameer, and Omran Al-Shamma. "A review of deep learning models (U-Net architectures) for segmenting brain tumors." Bulletin of Electrical Engineering and Informatics 13, no. 2 (2024): 1015–30. http://dx.doi.org/10.11591/eei.v13i2.6015.

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Highly accurate tumor segmentation and classification are required to treat the brain tumor appropriately. Brain tumor segmentation (BTS) approaches can be categorized into manual, semi-automated, and full-automated. The deep learning (DL) approach has been broadly deployed to automate tumor segmentation in therapy, treatment planning, and diagnosing evaluation. It is mainly based on the U-Net model that has recently attained state-of-the-art performances for multimodal BTS. This paper demonstrates a literature review for BTS using U-Net models. Additionally, it represents a common way to desi

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Nie, Mingxuan. "A Loss-Modified Densely Connected Atrous Convolutional U-Shape Encoder-Decoder Style Network for Ship Segmentation via Satellite Images." Applied and Computational Engineering 121, no. 1 (2025): 123–30. https://doi.org/10.54254/2755-2721/2025.19741.

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The segmentation of ships in satellite imagery is vital for maritime surveillance but presents unique challenges such as imbalanced datasets, small-scale object detection, and complex backgrounds. To address these, we propose an advanced U-Net-based architecture enhanced with depthwise separable convolutions for efficient feature extraction, dropout regularization, and batch normalization for improved generalization. Furthermore, a custom combined loss function integrating Dice Loss, Binary Cross-Entropy (BCE), and Focal Loss is introduced to tackle class imbalance and improve segmentation pre

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Yang, Kewei, Bingfeng Ge, Qingsong Zhao, and Jiang Jiang. "An Architectural Approach for Capability Mapping and Gap Analysis." Journal of Systems Science and Information 1, no. 1 (2013): 86–96. http://dx.doi.org/10.1515/jssi-2013-0086.

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AbstractTo cope with the increasing complexity and constantly changing capability requirements of system-of-systems, an architectural approach for capability mapping and gap analysis is proposed. Firstly, a more specific architecture framework is presented. Secondly, on the basis of the analysis of the semantic relationships between constituent architecture data elements, a capability mapping approach is proposed to manage the relations between capabilities and systems based on the mapping matrixes representing associations of core entities. Then, a four-step capability mapping process for the

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Loudon, Catherine, and Donald N. Alstad. "Architectural plasticity in net construction by individual caddisfly larvae (Trichoptera: Hydropsychidae)." Canadian Journal of Zoology 70, no. 6 (1992): 1166–72. http://dx.doi.org/10.1139/z92-163.

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Multiple nets spun in different water velocities were collected from individual hydropsychid caddisfly larvae (Hydropsyche and Cheumatopsyche) in a flow tank. Mesh size (coarseness) decreased and the total area of the regular meshes of the net increased with increasing ambient velocity for nets spun by individual Hydropsyche larvae but not for those spun by individual Cheumatopsyche larvae in the range of velocities used (0.05–0.45 m/s). The functional significance of these observed structural changes for both particle capture rate and silk stress was evaluated theoretically on the basis of me

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Huang, Peng, Ling Tao, Ming Gu, and Yong Quan. "Wind Effects of Architectural Details on Gable-Roofed Low-Rise Buildings in Southeastern Coast of China." Advances in Structural Engineering 17, no. 11 (2014): 1551–65. http://dx.doi.org/10.1260/1369-4332.17.11.1551.

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Gable-roofed low-rise buildings with ridges, protruding gable walls and eaves gutters are usually found on the southeastern coast of China, which are often invaded by typhoons. The wind effects due to ridges, protruding gable walls and eaves gutters on low-rise buildings as well as the wind loads on the architectural details themselves have been studied through a series of wind tunnel tests. The mean block pressure coefficient and the negative peak block pressure coefficient on different roof regions were compared, and architectural details' single tap pressure coefficients and drag coefficien

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Sri, Rama Chandra Charan Teja Tadi. "The Role of GraphQL Mutation Specifications in .NET Web Service Architectural Design." European Journal of Advances in Engineering and Technology 8, no. 3 (2021): 99–109. https://doi.org/10.5281/zenodo.15075007.

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As businesses increasingly adopt GraphQL when developing APIs, mutations are leading the way in developing high-performing web applications. Mutations in GraphQL facilitate the effective handling of intricate data updates without sacrificing the client-server interface's simplicity. In .NET web service development, these features are an ultimate solution instead of standard RESTful methods, especially in reducing over-fetching and providing enhanced payload management. By facilitating more accurate data updates, GraphQL mutations improve the scalability and maintainability of web services, lea

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Vengaiah, Cheemaladinne, and Srinivasa Reddy Konda. "A Review on Tomato Leaf Disease Detection using Deep Learning Approaches." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9s (2023): 647–64. http://dx.doi.org/10.17762/ijritcc.v11i9s.7479.

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Agriculture is one of the major sectors that influence the India economy due to the huge population and ever-growing food demand. Identification of diseases that affect the low yield in food crops plays a major role to improve the yield of a crop. India holds the world's second-largest share of tomato production. Unfortunately, tomato plants are vulnerable to various diseases due to factors such as climate change, heavy rainfall, soil conditions, pesticides, and animals. A significant number of studies have examined the potential of deep learning techniques to combat the leaf disease in tomato

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Silveira, J., A. Cadore, G. Barroso, C. Marcon, T. Webber, and R. Czekster. "Accurate Model for Network-on-Chip Performance Evaluation Based on Timed Colored Petri Net." Journal of Integrated Circuits and Systems 11, no. 2 (2016): 75–85. http://dx.doi.org/10.29292/jics.v11i2.432.

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Network-on-Chip (NoC) is a power architecture that emerged to solve communication issues present in modern Systems-on-Chip (SoCs). NoC based architectures are very scalable and offer high levels of communication parallelism, among other features. Every efficient NoC implementation requires several design steps to accomplish indices of performance. Although there are many system level models, high-level models for NoC are representative in the context of design since they provide fast and accurate analysis, with low modeling effort, for further VHDL implementations. This work proposes a NoC mod

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Galford, G., and L. M. Tucker. "Resilient Experiments in Rural Housing: Architectural Experiments in Planned Housing." IOP Conference Series: Earth and Environmental Science 903, no. 1 (2021): 012001. http://dx.doi.org/10.1088/1755-1315/903/1/012001.

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Abstract Single family houses contribute substantially to climate change in the US and other parts of the world. In the US specifically, most housing has been designed by builders and developers. The motivation has not been sustainability and a knowledge of how to design net zero energy and net zero water dwelling is not commonly understood. This paper seeks to use a historical model as viewed through the lens of the Living Building Challenge to demonstrate how an architect designed historic example might provide a way of implementing a cutting-edge approach to sustainable housing today. Arthu

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Wu, Min, and Hong Ping Jian. "Digital Generation ──The Diversified Impact of Digital on Architecture." Key Engineering Materials 439-440 (June 2010): 1511–15. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.1511.

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Digital technology means the data processing, transfer of information, intelligent control and many other multi-dimensional technologies that on the basis of computer technology. It will not only make the building more automatic, more efficient and more intelligentized, but also have a all-sided influence to the traditional architecture through the computer technology and net technology. In the area of architecture design, including the traditional thinking, method, craftsmanship and the constitution of architectural space and form, are also changing and developing in order to advancing with t

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Viedma, Ignacio A., David Alonso-Caneiro, Scott A. Read, and Michael J. Collins. "OCT Retinal and Choroidal Layer Instance Segmentation Using Mask R-CNN." Sensors 22, no. 5 (2022): 2016. http://dx.doi.org/10.3390/s22052016.

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Optical coherence tomography (OCT) of the posterior segment of the eye provides high-resolution cross-sectional images that allow visualization of individual layers of the posterior eye tissue (the retina and choroid), facilitating the diagnosis and monitoring of ocular diseases and abnormalities. The manual analysis of retinal OCT images is a time-consuming task; therefore, the development of automatic image analysis methods is important for both research and clinical applications. In recent years, deep learning methods have emerged as an alternative method to perform this segmentation task.

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Skachkov, Daniil V., and Yuriy L. Lustgarten. "ARCHITECTURE OF THE BOT DESIGNER APPLICATION FOR BUSINESS PROCESSES." Technologies & Quality 64, no. 2 (2024): 59–63. http://dx.doi.org/10.34216/2587-6147-2024-2-64-59-63.

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The article discusses the problem of building an application architecture for the effective integration of bots into business processes. The authors analyze the possibilities of developing bots using the popular Telegram messenger. The analogues of the three main bot constructors (Batman, PuzzleBot and SAMBOT) are evaluated, which allows us to determine their advantages and disadvantages. Various architectural approaches, including N-layer, hexagonal, onion and pure, are considered in order to choose the most suitable for this task. Finally, a structured solution is proposed for the back-end o

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Jiacun Wang, Xianzhong Zhou, and Junhua Ding. "Software architectural modelling and verification: a Petri net and temporal logic approach." Transactions of the Institute of Measurement and Control 33, no. 1 (2010): 168–81. http://dx.doi.org/10.1177/0142331208095679.

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Černauskienė, Aušra. "Idea of Autopoiesis in the Evaluation of Lithuanian Concrete Architecture." Architecture and Urban Planning 16, no. 1 (2020): 26–31. http://dx.doi.org/10.2478/aup-2020-0005.

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Abstract The article presents a theoretical model for evaluating architectural works artistic novelty of which is associated with concrete – the medium of the 20th century architecture. The theoretical model reflects the idea of autopoiesis and works as a network parameter system, which promotes the constant renewal of knowledge in the field of concrete architecture. The theoretical scheme consists of two levels: at Level I the object’s aesthetic-technological type is identified; at Level II – specific features of interaction between artistic forms and reinforced concrete technologies in archi

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Koch, Alexander R., Cari L. Johnson, and Lisa Stright. "Does fluvial channel-belt clustering predict net sand to gross rock volume? Architectural metrics and point-pattern analysis of a digital outcrop model." Journal of Sedimentary Research 89, no. 11 (2019): 1109–26. http://dx.doi.org/10.2110/jsr.2019.60.

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ABSTRACT Spatial point-pattern analyses (PPAs) are used to quantify clustering, randomness, and uniformity of the distribution of channel belts in fluvial strata. Point patterns may reflect end-member fluvial architecture, e.g., uniform compensational stacking and avulsion-generated clustering, which may change laterally, especially at greater scales. To investigate spatial and temporal changes in fluvial systems, we performed PPA and architectural analyses on extensive outcrops of the Cretaceous John Henry Member of the Straight Cliffs Formation in southern Utah, USA. Digital outcrop models (

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Nguyen Thi Hanh, Nguyen, and Trang Nguyen Thi Nhu. "Urban architectural heritage, not Real Estate." E3S Web of Conferences 403 (2023): 01016. http://dx.doi.org/10.1051/e3sconf/202340301016.

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Vietnam is one of the fastest urbanizing countries in East Asia. According to September 2022 data, the national urbanization rate has reached about 41.5%, with 888 urban areas [1]. Along with that, real estate prices skyrocketed. As of 2020, the average housing price in the place of the lowest increase is also 3 times higher than in 2011 [2]. Rapid urbanization and rising property prices are two of the many factors that contribute to the difficulty of preserving urban architectural heritage. Owners when faced with the choice of preserving their heritage or “converting the estate” into real est

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Annastasia, Syifa, Asti Amalia Nur Fajrilah, and Berlian Maulidya Izzati. "VALIDASI BISNIS ARSITEKTUR MODEL MENGGUNAKAN METODE FORMAL (STUDI KASUS: MANUFAKTURING)." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 7, no. 2 (2021): 173–80. http://dx.doi.org/10.33330/jurteksi.v7i2.1009.

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Abstract: Roeleven and Broer reveal that more than 66% of EA programs do not live up to expectations due to a failure to demonstrate sufficient value for the business. Business architecture has an important role to help companies achieve the desired business values. An organization also depends on how well the information provided on each artifact especially in the architectural business phase. That way, failure in business modeling can also have an impact on EA implementationw. Modeling artifacts in a good architectural business phase can help to avoid mistakes from the start, because the qua

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Melkibson. S, Ashwac Franco, Andrew Jefrin, Gowtham.S, Mohan.M, and Rama.S. "Intelligence BALA-NET: A Bio-Inspired Adaptive Learning Neuromorphic AI for Real-Time." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 04 (2025): 1228–30. https://doi.org/10.47392/irjaeh.2025.0175.

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BALA-NET is a bio-inspired neuromorphic AI system designed for real-time adaptive learning and decision-making. Leveraging principles from neuroscience and next-generation AI, BALA-NET incorporates Dynamic Spike-Timing-Dependent Plasticity Plus (Dynamic STDP+), Hybrid Memory Mechanisms, and Cross-Layer Neural Communication to enhance efficiency, adaptability, and low-power processing. This paper explores its architectural advancements, the integration of quantum neuromorphic AI, Brain-Computer Interfaces (BCI), and self-rewiring AI, along with challenges and future research directions

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Clarke, Joanna, John R. Littlewood, and George Karani. "Developing Tools to Enable the UK Construction Industry to Adopt the Active Building Concept for Net Zero Carbon Buildings." Buildings 13, no. 2 (2023): 304. http://dx.doi.org/10.3390/buildings13020304.

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The research project discussed in this paper is driven by the United Kingdom’s (UK’s) need to reduce operational energy and carbon by promoting the adoption of the Active Building (AB) concept for UK building projects. The AB concept offers a practical solution to reducing the operational energy use and carbon emissions of buildings by using emerging technologies applied to architectural design; thus, helping the UK meet its decarbonisation targets and, consequently, helping to combat the global problem of climate change. The aim of the project was to design and implement an AB Protocol with a

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Qi, Zhengyuan, Jun Wang, Guang Yang, and Yanlong Wang. "Lightweight YOLOv8-Based Model for Weed Detection in Dryland Spring Wheat Fields." Sustainability 17, no. 13 (2025): 6150. https://doi.org/10.3390/su17136150.

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Efficient weed detection in dryland spring wheat fields is crucial for sustainable agriculture, as it enables targeted interventions that reduce herbicide use, minimize environmental impact, and optimize resource allocation in water-limited farming systems. This paper presents HSG-Net, a novel lightweight object detection model based on YOLOv8 for weed identification in dryland spring wheat fields. The proposed architecture integrates three key innovations: an HGNetv2 backbone for efficient feature extraction, C2f-S modules with star-shaped attention mechanisms for enhanced feature representat

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Pleskach, V. L., E. O. Vakulenko, and A. A. Serdiuk. "Calorie calculation software system." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2024): 199–206. https://doi.org/10.15407/pp2024.02-03.199.

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This article describes the concept and essence of healthy nutrition, approaches to data analysis and reporting of food intake taking into account personal data, the role and features of creating software systems for calculating calories using various architectural solutions. As a result of the comparative analysis of the specified systems, a monolithic architecture was chosen, on the basis of which a software system for counting calories was designed, implemented, and tested using the Microsoft Visual Studio 2022 development environment; .Net Framework version 7.0.0; ADO.NET technologies; Wind

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Lee, Jeong-Ho, Seon-Joo Park, and Young-Suk Kim. "Development of a Systemized Flying Net for Safety Improvement in Architectural Building Construction." Korean Journal of Construction Engineering and Management 12, no. 5 (2011): 71–80. http://dx.doi.org/10.6106/kjcem.2011.12.5.71.

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Sai, Vaibhav Medavarapu, and Samrat Medavarapu Sachin. "Enhancing Scalability and Performance of .NET Microservices on Azure Kubernetes Service (AKS)." Journal of Scientific and Engineering Research 10, no. 8 (2023): 133–39. https://doi.org/10.5281/zenodo.13597405.

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In the evolving landscape of cloud computing, microservices have become a fundamental architectural style, especially for large-scale applications. This paper examines the scalability and performance of .NET microservices deployed on Azure Kubernetes Service (AKS). Through a series of experiments, we analyze various configurations and optimizations to enhance service scalability and performance. Our results demonstrate significant improvements in resource utilization and response times, contributing to more efficient and resilient cloud- native applications.

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Rudiansyah, Rudiansyah. "Implementation of Image Quality Improvement Methods and Lung Segmentation on Chest X-Ray Images Using U-Net Architectural Modifications." Computer Engineering and Applications Journal 12, no. 2 (2023): 71–78. http://dx.doi.org/10.18495/comengapp.v12i2.426.

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COVID-19 is an infectious disease that causes acute respiratory distress syndrome due to the SARS-CoV-2 virus. Rapid and accurate screening and early diagnosis of patients play an essential role in controlling outbreaks and reducing the spread of this disease. This disease can be diagnosed by manually reading CXR images, but it is time-consuming and prone to errors. For this reason, this research proposes an automatic medical image segmentation system using a combination of U-Net architecture with Batch Normalization to obtain more accurate and fast results. The method used in this study consi

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Ayyadhury, Shamini, Patty Sachamitr, Michelle Kushida, et al. "CNSC-44. BIOLOGICAL PATTERN DISCOVERY IN GLIOBLASTOMA." Neuro-Oncology 25, Supplement_5 (2023): v32—v33. http://dx.doi.org/10.1093/neuonc/noad179.0127.

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Abstract Glioblastoma(GBM - IDH wildtype) is an adult glioma, showing abysmal prognosis. Sequencing technologies show us the existence of a neurodevelopmental frame-work, upon which heterogeneous molecular patterns are overlaid. The tumor's functional capacity is the net result of extrinsic+intrinsic molecular factors interacting with each other. These factors affect how cells communicate and organize themselves into complex functional architectures that support their evolution, survival and resistance. Understanding the phenotypic significance of a tumor's architecture, will allow us to under

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Fan, Ruo-ying, Yi-ming Gong, and Alfred Uchman. "Topological analysis of graphoglyptid trace fossils, a study of macrobenthic solitary and collective animal behaviors in the deep-sea environment." Paleobiology 44, no. 2 (2018): 306–25. http://dx.doi.org/10.1017/pab.2018.1.

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AbstractGraphoglyptids are biogenic structures commonly found in deep-sea flysch deposits and occasionally detected on the modern deep-sea floor. They extend principally horizontally and take a variety of geometric patterns, whose functional morphology remains an enigma in ichnology and paleoceanography. Based on published materials from 1850 to 2017 (79 ichnotaxa from 28 ichnogenera of graphoglyptids) and systematic observations of one of the largest deep-sea trace fossil collections in the world, this paper proposes that topological analysis is an important ingredient in the taxonomy and fun

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