Showing 21 - 40 results of 132 for search 'The 101 Network', query time: 0.09s Refine Results
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    Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network–Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey by Pichsinee Choomung, Yupeng He, Masaaki Matsunaga, Kenji Sakuma, Taro Kishi, Yuanying Li, Shinichi Tanihara, Nakao Iwata, Atsuhiko Ota

    Published 2025-01-01
    “…To address these issues, we previously developed an artificial neural network (ANN)–based schizophrenia classification model (SZ classifier) using data from a large-scale Japanese web-based survey to enhance the comprehensiveness of schizophrenia case identification in the general population. …”
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    Perbandingan Arsitektur Convolutional Neural Network Pada Klasifikasi Pneumonia, COVID-19, Lung Opacity, dan Normal Menggunakan Citra Sinar-X Thoraks by Agung Wahyu Setiawan

    Published 2022-12-01
    “…Inception-ResNet, DenseNet201, InceptionV3, ResNet50v1, ResNet101, ResNet152, ResNet50v2, ResNet101v2 and ResNet152v2. …”
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    Design of compact and high gain dual-band four-port MIMO antenna array for mm-wave 5G Communications by Mohammed Mahaboob Basha, Pendli Pradeep, Srinivasulu Gundala, Javed Syed

    Published 2025-03-01
    “…This article presents a dual-band compact dual-port and quad-port Multiple-Input Multiple-Output (MIMO) array antenna that uses an array antenna of two elements with high isolation, exclusively designed for 5 G applications in the millimeter-wave band. A Corporate Feed network is employed to excite the two-element array antennas. …”
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    Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy by Qi Wan, Clifford Lindsay, Chenxi Zhang, Jisoo Kim, Xin Chen, Jing Li, Raymond Y. Huang, David A. Reardon, Geoffrey S. Young, Lei Qin

    Published 2025-01-01
    “…We compare the prediction of overall survival (OS) in recurrent high-grade glioma(HGG) patients undergoing immunotherapy, using deep learning (DL) classification networks along with radiomic signatures derived from manual and convolutional neural networks (CNN) automated segmentation. …”
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    Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning by J. Arun Pandian, Ramkumar Thirunavukarasu, L. Thanga Mariappan

    Published 2025-01-01
    “…Convolutional Neural Networks (CNNs) architecture which includes ENet, PINet, ResNet-50, ResNet-101, SqueezeNet, and VGG16Net are employed in lane detection problems to construct segmentation models and demonstrate proficiency in distinct road conditions. …”
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    Nationwide Outcomes of Heart Transplantation for Postpartum Cardiomyopathy by Ilias P. Doulamis, Aspasia Tzani, Ahmet Kilic, Toshiki Kuno, Alexandros Briasoulis

    Published 2025-01-01
    “…Older age was associated with lower overall mortality (hazard ratio (HR): 0.97; 95% CI: 0.95, 0.98; p < 0.01), while diabetes (HR: 1.01; 95% CI: 1.01, 1.01; p < 0.01), dialysis (HR: 1.01; 95% CI: 1.01, 1.01; p < 0.01), days on Status 1 on the UNOS registry (HR: 1.06; 95% CI: 1.03, 10.9; p < 0.01), creatinine (HR: 1.29; 95% CI: 1.02, 1.64; p = 0.034), and length of stay (HR: 1.01; 95% CI: 1.01, 1.02; p = 0.02) were associated with a higher risk of overall mortality. …”
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    A Deep Learning-Based Approach to Garbage Detection in urban centers by Slvar Abdulazeez Arif, Abubakar M. Ashir

    Published 2024-06-01
    “…The application leverages the powerful Residual Network 101(ResNet101) model, trained on a dataset of over 3000 images, to accurately classify and analyze environmental issues depicted in user-submitted images. …”
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