BIM Adoption for effective interface management in Indian construction industries by Sindhu Vaardini Umaapathy, Shanmugapriya Sundarrajan

Subjects: “…building information modelling (bim)…”
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Enhanced boundary perception and streamlined instance segmentation by Junyong Shi, Guangzhi Chen, Yu Chen

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Towards collaboration between information seeking and information retrieval by Carol C. Kuhlthau

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Information behaviour of migrant Hispanic farm workers and their families in the Pacific Northwest Information grounds, Information behaviour, Behavior, Washington, Immigrants, Inf... by Karen E. Fisher, Elizabeth Marcoux, Lupine S. Miller, Agueda Sánchez, Eva Ramirez Cunningham

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NetLibrary Science and Technology E-book Coverage. by Beth Roberts

“… The article presents information on science and technology electronic-books (e-books) offered by NetLibrary. …”
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ON EXPERIENCE OF NET INTERACTION IN EDUCATIONAL ACTIVITY OF KRASNOYARSK UNIVERSITIES by Georgy A. Dorrer, Tatiana N. Ivanilova, Aleksei M. Popov, Gennady M. Tsibul’skii

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DRST-Net: A Dual-Branch Feature Fusion Network Combining ResNet50 and Swin Transformer for Welding Light Strip Recognition by Yuan Lu, Qingjiu Huang

“…The network also incorporates a cross-attention feature fusion (CaFF) module, which utilizes the self-attention mechanism to dynamically integrate local features from ResNet50 with global semantic information from Swin Transformer. …”
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YOLOv5 garbage classification method with GhostNet by Li Yao, Hu Junguo, Le Yang

“…The backbone network fused with GhostNet is used to replace the traditional convolutional operation with linear operation, which reduces the number of parameters of the model and improves the model inference speed. …”
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Research into the Application of ResNet in Soil: A Review by Wenjie Wu, Lijuan Huo, Gaiqiang Yang, Xin Liu, Hongxia Li

“…With the rapid advancement of deep learning technology, the residual networks technique (ResNet) has made significant strides in the field of image processing, and its application in soil science has been steadily increasing. …”
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A Hybrid Deep Learning Model for Enhanced Structural Damage Detection: Integrating ResNet50, GoogLeNet, and Attention Mechanisms by Vikash Singh, Anuj Baral, Roshan Kumar, Sudhakar Tummala, Mohammad Noori, Swati Varun Yadav, Shuai Kang, Wei Zhao

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UniU-Net: A Unified U-Net Deep Learning Approach for High-Precision Areca Palm Segmentation in Remote Sensing Imagery by Shaohua Wang, Yan Wang, Jianwei Yue, Haojian Liang, Zihan Zhang, Bojun Li

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3D‐TabNetHS: A hyperspectral image classification method based on improved interpretable 3D attentive TabNet by Ning Li, Daozhi Wei, Shucai Huang, Yong Zhang

“…These methods use sequential attention to select appropriate HSI spatial‐spectral features and add a space spectral information extraction (SSE) module composed of a 3D convolutional neural network (3D‐CNN) and fully connected layers to the Attention Transformer module in the original TabNet network to extract spatial‐spectral soft features. …”
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Urban scene semantic segmentation using the U-Net model by Marcin Ciecholewski

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XGBoost meets TabNet in Predicting the Costs of Forwarding Contracts by Aleksandra Lewandowska

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DBDST-Net: Dual-Branch Decoupled Image Style Transfer Network by Na Su, Jingtao Wang, Jingjing Zhang, Ying Li, Yun Pan

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Information Literacy by Kabale University

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The Necessity for Information Space Mapping for Information Retrieval on the Semantic Web by Gregory B. Newby

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Systems for the management of information in a university context: an investigation of user need. Information systems, Universities, Information strategy by Marcella R., Knox K.

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Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures by Jatin Sharma, Asma A. Al-Huqail, Ahmad Almogren, Hardik Doshi, B. Jayaprakash, B. Bharathi, Ateeq Ur Rehman, Seada Hussen

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Analysis of ESAC-Net/EARS-Net Data from 29 EEA Countries for Spatiotemporal Associations Between Antimicrobial Use and Resistance—Implications for Antimicrobial Stewardship? by James C. McSorley

“…EARS-NET monitors resistance to antimicrobials amongst invasive isolates of sentinel pathogens whereas ESAC-NET tracks usage of systemic antimicrobials. …”
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