Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning by Spyridon Chavlis, Panayiota Poirazi

“…Abstract Artificial neural networks (ANNs) are at the core of most Deep Learning (DL) algorithms that successfully tackle complex problems like image recognition, autonomous driving, and natural language processing. …”
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Few Samples of SAR Automatic Target Recognition Based on Enhanced-Shape CNN by Mengmeng Huang, Fang Liu, Xianfa Meng

“…The development of deep learning has enabled it to be applied to SAR ATR. …”
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Recognition of life-threatening arrhythmias by ECG scalograms by A.P. Nemirko, A.S. Ba Mahel, L.A. Manilo

“…For arrhythmia classification, the AlexNet neural network with a well-known deep learning architecture, which is commonly used in image classification tasks, is used. …”
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A Comparative Study of Supervised and Self-Supervised Denoising Techniques for Defect Segmentation in Industrial CT Imaging by Virginia Florian, Jiayang Shi, Willem Jan Palestijn, Daniël M. Pelt, K. Joost Batenburg, Thomas Lang, Christoph Heinzl, Christian Kretzer, Stefan Kasperl, Dominik Wolfschläger, Robert H. Schmitt

“…Different methods, the most recent ones based on deep learning, have been proposed to address both CT artifacts and noise. …”
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The Application of 3D Virtual Technology in the Teaching of Clinical Medicine by Haifeng Zhang, Juan Kong, Yan Tong, Chunmei Gao, Wei Huang

“…Therefore, this paper addresses the shortcomings of previous 3D virtual technology in 3D modeling of organs, introduces deep learning, and then proposes a pyramidal shape perception network with the ability to generate samples on point clouds. …”
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A Modified Fully Convolutional Network for Crack Damage Identification Compared with Conventional Methods by Meng Meng, Kun Zhu, Keqin Chen, Hang Qu

“…With the development of artificial intelligence especially the combination of deep learning and computer vision, greater advantages have been brought to the concrete crack detection based on convolutional neural network (CNN) over the traditional methods. …”
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Research on OPF Control of Three-Phase Four-Wire Low-Voltage Distribution Network considering Uncertainty by Rui Wang, Xiaoqing Bai, Shengquan Huang, Shoupu Wei

“…Using historical data and deep learning classification methods, the proposed method simulates optimal system behaviour without requiring communication infrastructure. …”
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Application of deep residual networks to predict the effective properties of fiber-reinforced composites with voids by Mahdi Karimian, Seyed Ali Hosseini Kordkheili

“…A novel deep-learning method is adopted to predict effective mechanical properties of epoxy-based fiber-reinforced composites. …”
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Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network by Lixun Han, Cunqian Feng

“…Moreover, we present a deep-learning (DL) model composed of a one-dimensional parallel structure and long short-term memory (LSTM). …”
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Learning Spatial-Temporal Features of Ride-Hailing Services with Fusion Convolutional Networks by Dapeng Zhang, Feng Xiao, Gang Kou, Jian Luo, Fan Yang

“…In this paper, we propose a new deep learning framework, called the locally connected spatial-temporal fully convolutional neural network ( LC-ST-FCN), to learn the spatial-temporal correlations and local statistical differences among regions simultaneously. …”
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Research on Spam Filters Based on NB Algorithm by Su Shengyue

“…Future work may focus on improving the model’s accuracy and robustness by integrating it with other machine learning models, like Support Vector Machines (SVMs) and deep learning techniques, to enhance spam classification capabilities.…”
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Automated Diagnosis of Skin Cancer. by Nyiramugisha, Shallon, Nuwahereza, Godfrey

“…Next, we propose a straightforward method that includes an aggregation mechanism in well-known deep-learning models to combine features from images and clinical data. …”
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A generative whole-brain segmentation model for positron emission tomography images by Wenbo Li, Zhenxing Huang, Hongyan Tang, Yaping Wu, Yunlong Gao, Jing Qin, Jianmin Yuan, Yang Yang, Yan Zhang, Na Zhang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu

“…The proposed method was compared with various deep learning-based approaches in terms of the Dice similarity coefficient, Jaccard index, precision, and recall serving as evaluation metrics. …”
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Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma Untuk Data Multi-Sensor IoT Pada Node-RED Menggunakan Extreme Learning Machine by Imam Cholissodin, Dahnial Syauqy, Dwi Ady Firmanda, Ibrahim Aji, Edy Rahman, Syazwandy Harahap, Fernando Septino

“…Namun dengan perkembangan teknologi komputer untuk AI, Machine Learning maupun Deep Learning, algoritma dengan basis AI tersebut, dalam penelitian ini dikembangkan untuk menemukan solusi general persamaan model T(n) secara otomatis dari desain algoritma sederhana atau kompleks. …”
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Intelligent Construction, Operation, and Maintenance of a Large Wastewater-Treatment Plant Based on BIM by Jiu-Lin Li, Li-Min Chen, Hao Xu

“…According to this case example, we also offer suggestions on how deep learning and intelligent control techniques can be used to enhance intelligent O&M in WTPs.…”
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Clinical Treatment and Nursing Intervention Study of Clipping Treatment of Cerebral Aneurysm under the Health Model of Data Analysis by Yuyou Huang, Liping Huang

“…The model combines the characteristics of cerebral aneurysms for targeted analysis, and then through the understanding of the clipping treatment of cerebral aneurysms, this paper combines the deep learning in the neural network to train the treatment plan under the data analysis health model. …”
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Geographical patterns of intraspecific genetic diversity reflect the adaptive potential of the coral Pocillopora damicornis species complex. by M Carr, C Kratochwill, T Daly-Engel, T Crombie, R van Woesik

“…We focused on detecting genetic diversity hotspots, wherein some individuals are likely to possess gene variants that tolerate marine heatwaves. A deep-learning, multi-layer neural-network model showed that geographical location played a major role in intraspecific diversity, with mean sea-surface temperature and oceanic regions being the most influential predictor variables differentiating diversity. …”
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FractalNet-based key generation for authentication in Voice over IP using Blockchain by Vajjala Sreenivasulu, Chinthaginjala Ravikumar

“…Thus, this paper proposes a new deep learning technique called FractalNet-based key generation (FractalNet-keyGen) for authentication in VoIP using Blockchain. …”
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Ensemble of feature augmented convolutional neural network and deep autoencoder for efficient detection of network attacks by Selvakumar B, Sivaanandh M, Muneeswaran K, Lakshmanan B

“…A novel ensemble of deep learning technique is proposed to enhance the efficiency of Packet Flow Classification in Network Intrusion Detection System (NIDS). …”
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Machine learning and AI for advancing Parkinson's disease diagnosis: exploring promising applications by Shohreh Abdollahi, Ramin Safa

“…Accordingly, further research should explore deep learning methods and integrate additional data sources, such as gait analysis and genetic markers, to enhance diagnostic capabilities for Parkinson's disease.…”
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