A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques by R. Ramya, P. Kumar, D. Dhanasekaran, R. Satheesh Kumar, S. Amithesh Sharavan

Subjects: “…Machine learning and deep learning…”
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Diagnosis of Parkinson’s disease by eliciting trait-specific eye movements in multi-visual tasks by Maosong Jiang, Yanzhi Liu, Yanlu Cao, Shufeng Xia, Fei Teng, Wenzhi Zhao, Yongzhong Lin, Wenlong Liu

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The role of deep learning in diagnosing colorectal cancer by Dimitrios Bousis, Georgios-Ioannis Verras, Konstantinos Bouchagier, Andreas Antzoulas, Ioannis Panagiotopoulos, Anastasia Katinioti, Dimitrios Kehagias, Charalampos Kaplanis, Konstantinos Kotis, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

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Real-Time Long-Range Object Tracking Based on Ensembled Model by Muhammad Faseeh, Misbah Bibi, Murad Ali Khan, do-Hyeun Kim

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Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Ge... by Jemyoung Lee, Minbeom Kim, Heejun Park, Zepa Yang, Ok Hee Woo, Woo Young Kang, Jong Hyo Kim

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Enhancing thyroid nodule assessment with deep learning and ultrasound imaging by Jatinder Kumar, Surya Narayan Panda, Devi Dayal, Manish Sharma

Subjects: “…Deep learning…”
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High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion by Ye Yuan, Shuguang Zhou, Jianhua Bian, Jinlin Wang, Wei Han, Jining Yan

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ConvXGB: A novel deep learning model to predict recurrence risk of early-stage cervical cancer following surgery using multiparametric MRI images by Ji Wu, Jian Li, Bo Huang, Sunbin Dong, Luyang Wu, Xiping Shen, Zhigang Zheng

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Integrating Explainable Artificial Intelligence With Advanced Deep Learning Model for Crowd Density Estimation in Real-World Surveillance Systems by Sultan Refa Alotaibi, Hanan Abdullah Mengash, Mohammed Maray, Faiz Abdullah Alotaibi, Abdulwhab Alkharashi, Ahmad A. Alzahrani, Moneerah Alotaibi, Mrim M. Alnfiai

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Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning by Zhe WANG, Taoshen LI, Lina GE, Guifen ZHANG, Min WU

Subjects: “…deep learning…”
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Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services by Li’na DU, Li ZHUO, Shuo YANG, Jiafeng LI, Jing ZHANG

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Research and development of network representation learning by Ying YIN, Lixin JI, Ruiyang HUANG, Lixin DU

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Diabetic retinopathy grading using curvelet CNN with optimized SSO activations and wavelet-based image enhancement by N. Mohana Suganthi, M. Arun

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MFFTNet: A Novel 3D Point Cloud Segmentation Network Based on Multi-Scale Feature Fusion and Transformer Architecture by Hao Bai, Xiongwei Li, Qing Meng, Shulong Zhuo, Lili Yan

Subjects: “…Deep learning…”
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A short investigation of the effect of the selection of human brain atlases on the performance of ASD's classification models by Naseer Ahmed Khan, Xuequn Shang

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Fusion-Decomposition Pan-Sharpening Network With Interactive Learning of Representation Graph by Yunxuan Tang, Xue Wang, Peng Liu, Tong Li

Subjects: “…Deep learning (DL)…”
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Deep learning for compressed sensing based sparse channel estimation in FDD massive MIMO systems by Yuan HUANG, Yigang HE, Yuting WU, Tongtong CHENG, Yongbo SUI, Shuguang NING

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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

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A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

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