An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience by Hui-Cong Duan, Long-Xing Lin, Ji-Chun Wang, Tong-Ruo Diao, Sheng-Jie Qiu, Bi-Jun Geng, Jia Shi, Shu Hu, Yang Yang

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A Survey on the Deep Learning-Based Mismatch Removal: Principles and Methods by Shiyu Chen, Cailong Deng, Yong Zhang, Yong Wang, Qixin Zhang, Zhimin Zhou

“…Firstly, these reviews are often embedded within studies that primarily focus on image matching, thereby limiting the detailed and comprehensive analysis of mismatch removal methods. Secondly, reviews of deep learning (DL)-based methods, despite their numerous existence and interconnection, tend to be fragmentary and lack a systematic approach. …”
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Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography Classification by Lochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, Fiona Brownfoot, Emerson Keenan

“…Efforts to address this issue have focused on data-driven deep-learning methods to detect fetal compromise automatically. …”
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A review on deep learning methods for heart sound signal analysis by Elaheh Partovi, Ankica Babic, Ankica Babic, Arash Gharehbaghi

“…IntroductionApplication of Deep Learning (DL) methods is being increasingly appreciated by researchers from the biomedical engineering domain in which heart sound analysis is an important topic of study. …”
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Accelerating Subglacial Hydrology for Ice Sheet Models With Deep Learning Methods by Vincent Verjans, Alexander Robel

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Research of Pedestrian Detection Methods with Anchor Frame Based on Deep Learning by Yan Tao

“…Pedestrian detection technology has been one of the hotspots for target detection tasks. Deep learning-based theories and techniques perform exceptionally well in the pedestrian detection domain, and several general-purpose target detectors are continuously utilized in the target detection domain. …”
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Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction. by Akash Bahai, Chee Keong Kwoh, Yuguang Mu, Yinghui Li

“…This study systematically benchmarks state-of-the-art deep learning methods for RNA structure prediction across diverse datasets. …”
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Point Cloud Deep Learning Methods for Particle Shower Reconstruction in the DHCAL by Borysova Maryna, Bressler Shikma, Gross Eilam, Kakati Nilotpal, Zavazieva Darina

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A survey on deep learning based reenactment methods for deepfake applications by Ramamurthy Dhanyalakshmi, Claudiu‐Ionut Popirlan, Duraisamy Jude Hemanth

“…Abstract Among the sectors that deep learning has transformed, deepfake, a novel method of manipulating multimedia, deserves particular attention. …”
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Deep-learning-based point cloud completion methods: A review by Kun Zhang, Ao Zhang, Xiaohong Wang, Weisong Li

“…This technology is crucial for applications such as autonomous driving and urban planning. With deep learning’s progress, the robustness and accuracy of point cloud completion have improved significantly. …”
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A Survey of Dense Object Detection Methods Based on Deep Learning by Yang Zhou, Hui Li

“…In recent years, thanks to the development and advancement of deep learning methods, object detection algorithms and frameworks have made significant breakthroughs, allowing many detection methods to be applied to real-world scenarios. …”
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Mapping Irrigation Methods in the Northwestern US Using Deep Learning Classification by S. K. Nouwakpo, D. Bjorneberg, K. McGwire, O. Hoque

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A Systematic Review of Deep Learning Methods Applied to Ocular Images by Oscar Julian Perdomo Charry, Fabio Augusto González Osorio

“… Artificial intelligence is having an important effect on different areas of medicine, and ophthalmology has not been the exception. In particular, deep learning methods have been applied successfully to the detection of clinical signs and the classification of ocular diseases. …”
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Self-supervised deep learning method for in-cell cryo-electron tomography by Stojanovska Frosina, Kreshuk Anna, Mahamid Julia, Zaugg Judith

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Potato Plant Leaf Disease Detection Using Deep Learning Method by Cemal İhsan Sofuoğlu, Derya Bırant

“…This study proposes a new deep-learning model that correctly classifies plant leaf diseases for the agriculture and food sectors. …”
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Badminton Backcourt Stroke Route Planning Method Based on Deep Learning by Yanping Ma

“…In order to improve the planning ability of the badminton backcourt stroke line, this study designs a badminton backcourt stroke line planning method based on deep learning. Firstly, the trajectory adaptive learning method of motion primitives is used to design the hitting line nodes and path space, so as to construct the shortest distributed grid structure model of the hitting line. …”
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A Robust Method Based on Deep Learning for Compressive Spectrum Sensing by Haoye Zeng, Yantao Yu, Guojin Liu, Yucheng Wu

“…To overcome these limitations, we propose BEISTA-Net, a deep learning-based framework for reconstructing compressed wideband signals. …”
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Research on mulberry leaf disease recognition method based on deep learning by Ye Hui, Xiang Donghui, Zeng Songwei

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Maize tassel segmentation based on deep learning method and RGB image by YU Xun, WANG Zhe, JING Haitao, JIN Xiuliang, NIE Chenwei, BAI Yi, WANG Zheng

“…This study focuses on the accuracy and stability of deep learning method for maize tassel segmentation at different tasseling stages and varieties. …”
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Software refactoring prediction evaluation method based on deep learning models by Yichi ZHANG, Yang ZHANG, Yanlei LI, Kun ZHENG, Wei LIU

“…Aiming at the lack of research on the performance of deep learning models in predicting software refactoring in the current field, a deep learning-based software refactoring prediction evaluation method was proposed to assess the refactoring predictive performance of these models. …”
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