Establishment of Passive Energy Conservation Measure and Economic Evaluation of Fenestration System in Nonresidential Building of Korea by Bo-Eun Choi, Ji-Hyun Shin, Jin-Hyun Lee, Sun-Sook Kim, Young-Hum Cho

“…An economic efficiency database for the constructed alternatives was built; the target building was set and the Passive ECM List for the target building was derived. …”
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A Method for Selecting the Appropriate Source Domain Buildings for Building Energy Prediction in Transfer Learning: Using the Euclidean Distance and Pearson Coefficient by Chuyi Luo, Liang Xia, Sung-Hugh Hong

“…Building energy prediction faces challenges such as data scarcity while Transfer Learning (TL) demonstrates significant potential by leveraging source building energy data to enhance target building energy prediction. However, the accuracy of TL heavily relies on selecting appropriate source buildings as the source data. …”
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Design and analysis of a three-dimensional seismic isolation device for small modular reactor building by Jae-Hong Kim, Jung-Dae Son, Yun-Ho Shin, Dae-Seung Cho

“…The performance of the 3D SIS, constructed with the designed 3D SIDs for a target building, is validated through a full 3D numerical transient response analysis using ANSYS.…”
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Polyphonies, Bodies and Rhetoric of senses: latin chants in Corsica and the Pyrenees by Jaume Ayats, Anna Costal, Iris Gayete, Joaquim Rabaseda

“…The arrangements of bodies in space, the modulation of light, and the senses of smell and touch allow us to understand what resources are deployed to achieve an individual experience of the senses and the body, enabling the – even fictitious – feeling of belonging to a social group.It is the beginning of a “rhetoric of the senses” that develops into highly coded ritual frameworks.The studies of the Ceremony of Tenebrae on Holy Wednesday carried out by the brotherhood of Sant’Antone from the town of Calvi, and of the Ceremony of Vespers in the Catalan Pyrenees show us, on the one hand, the sensitive elaboration orientated by the ritual logic and, on the other hand, make us understand the aesthetical and social target of polyphonies, of the “sonorous density” which shapes itself as a mesh of very singular timbres, ornamentations, intensities, voices and individualities.Thus a rhetoric of the senses and corporality unfolds, where chanted polyphony becomes a decisive matter in achieving the target: building the communitas and giving individuals access to a special time.…”
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A Gram Scale Synthesis of 3,4-Dihalogen Substituted 1,8-Naphthalimides by Denitsa Anastasova, Monika Mutovska, Natali Simeonova, Irena Zagranyarska, Zlatina Vlahova, Stanimir Stoyanov, Yulian Zagranyarski

“…All the reactions were carried out on a multigram scale to allow the target building-block compounds to be obtained in sufficient amounts for further derivatizations.…”
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Coupling CFD model and FEM model to investigate the impact of debris flows on a low-rise building by Thi Thu Hien Le, Van Chien Nguyen, Duc Toan Nguyen, Duc Thanh Tran

“…By comparison with two Vietnamese standards of bending moment and displacement, all columns of the target building are susceptible to collapse in all scenarios when taking into account the bending moment. …”
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A review of the construction of the supporting energy system for the lunar base by Song Lei, Zhang Guoqing, Zhang Guoqing, Wang Yaohui, Wang Chang, Liu Bo

“…The Moon, being close to Earth, is a key target. Building a lunar base is crucial for space exploration and resource use, but requires a reliable energy system. …”
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Aircraft Flight Autonomous Decision-Making Method Based on Target Predicted Trajectory and Markov Decision Process by Yang Zhou, Xinmin Tang, Xuanming Ren

“…Firstly, our own aircraft utilizes the IMM algorithm to achieve the state prediction of the target; building upon the existing algorithmic structure, the proposed framework improves model sets within the IMM algorithm by incorporating climb and turn models and refines the motion modes of aircraft during the cruise phase, gathering corresponding sub-models to predict different motion modes and enhance the prediction accuracy of the target. …”
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Deep-Learning-Based Automated Building Construction Progress Monitoring for Prefabricated Prefinished Volumetric Construction by Wei Png Chua, Chien Chern Cheah

“…A detection module first conducts detection of windows on the target building. This is achieved by detecting windows within the input image at two scales by using YOLOv5 as a backbone network for object detection before using a window detection filtering process to omit irrelevant detections from the surrounding areas. …”
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MFFP-Net: Building Segmentation in Remote Sensing Images via Multi-Scale Feature Fusion and Foreground Perception Enhancement by Huajie Xu, Qiukai Huang, Haikun Liao, Ganxiao Nong, Wei Wei

“…The accurate segmentation of small target buildings in high-resolution remote sensing images remains challenging due to two critical issues: (1) small target buildings often occupy few pixels in complex backgrounds, leading to frequent background confusion, and (2) significant intra-class variance complicates feature representation compared to conventional semantic segmentation tasks. …”
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Towards a modular, multi-ecosystem monitoring, reporting and verification (MRV) framework for soil organic carbon stock change assessment by Niels H. Batjes, Eric Ceschia, Gerard B.M. Heuvelink, Julien Demenois, Guerric le Maire, Rémi Cardinael, Cristina Arias-Navarro, Fenny van Egmond

“…Consistent and accurate monitoring of changes in soil organic carbon stocks and net greenhouse gas emissions, reporting, and their verification is key to facilitate investment in sustainable land use practices that maintain or increase soil organic carbon stocks, as well as to incorporate soil organic carbon sequestration in national greenhouse gas emission reduction targets. Building up on an initial review of monitoring, reporting and verification (MRV) schemes with a focus on croplands, grasslands, and forestlands we develop a framework for a modular, scalable MRV system. …”
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WOAIP: Wireless Optimization Algorithm for Indoor Placement Based on Binary Particle Swarm Optimization (BPSO) by Omar S. Naif, Imad J. Mohammed

“…Five pairs (coverage, AP deployment) of weights, signal thresholds and received signal strength (RSS) measurements simulated using Wireless InSite (WI) software were considered in the test case study by comparing the results collected from WI with the present wireless simulated physical AP deployment of the targeted building - Computer Science Department at University of Baghdad. …”
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Robust face mask detection in complex scenarios using YOLOv8 and context-aware convolutions by Yingjie Wei, Huili Li, Yuanfei He, Li Li, Qiongshuai Lyu, Yu Yang

“…To improve the transmission of fine-grained face mask features within the network, we introduce context-aware convolutions in the Neck module, which facilitates the integration of contextual semantic information and enriches the feature details of small targets. Building on this, we design an enhanced detection head, DAM-Head, which amplifies target saliency and improves both target recognition and localization accuracy. …”
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Mining Chemical Activity Status from High-Throughput Screening Assays. by Othman Soufan, Wail Ba-alawi, Moataz Afeef, Magbubah Essack, Valentin Rodionov, Panos Kalnis, Vladimir B Bajic

“…High-throughput screening (HTS) experiments provide a valuable resource that reports biological activity of numerous chemical compounds relative to their molecular targets. Building computational models that accurately predict such activity status (active vs. inactive) in specific assays is a challenging task given the large volume of data and frequently small proportion of active compounds relative to the inactive ones. …”
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Collaborative Static-Dynamic Teaching: A Semi-Supervised Framework for Stripe-like Space Target Detection by Zijian Zhu, Ali Zia, Xuesong Li, Bingbing Dan, Yuebo Ma, Hongfeng Long, Kaili Lu, Enhai Liu, Rujin Zhao

“…MRSA-Net incorporates multi-receptive field processing and multi-level feature fusion to effectively extract features of variable and low-SNR stripe-like targets. Building upon this, we propose the Collaborative Static-Dynamic Teaching (CSDT) architecture, a semi-supervised learning architecture that reduces reliance on labeled data by leveraging both static and dynamic teacher models. …”
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Uncovering the health effects of sick building syndrome: a study of housing conditions in Ibadan North-East, Nigeria by Olaitan Olutayo Odunola, Ruth Bosede Akinyemi, Kayode Ayomide Idowu, Timothy Oluseye Morenikeji, Grace Charles Ishatah

“…This study recommends a multifaceted approach to urban sustainability, including targeted building revitalization efforts, structured community engagement programs, widespread public awareness campaigns, policy advocacy for green building adoption, and strengthened interdisciplinary collaboration between urban planners, architects, environmental scientists, and other relevant professionals. …”
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