Capsule network based analysis of histopathological images of oral squamous cell carcinoma by Santisudha Panigrahi, Jayshankar Das, Tripti Swarnkar

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Faster R-CNN model for target recognition and diagnosis of scapular fractures by Qiong Fang, Anhong Jiang, Meimei Liu, Sen Zhao

“…Objective: This study aims to establish a diagnostic model for scapular fractures using a convolutional neural network (CNN) and to discuss the clinical advantages of this model in diagnosing such complex conditions. …”
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Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates by Lin Meng, Deyu Wang, Jun Ma, Yu Shi, Hongbo Zhao, Yanlin Wang, Qingqing Shi, Xiaodong Zhu, Dong Ming

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Predicting Index Trend Using Hybrid Neural Networks with a Focus on Multi-Scale Temporal Feature Extraction in the Tehran Stock Exchange by Mohammad Osoolian, Ali Nikmaram, Mahdi Karimi

“…To address the limitations identified, future research endeavors could explore alternative model configurations, ensemble methods, or hybrid architectures that combine the strengths of different predictive models. Additionally, incorporating additional market indicators and exploring intraday data sources could further enhance prediction accuracy and robustness. …”
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A Gaussian Process-Enhanced Non-Linear Function and Bayesian Convolution–Bayesian Long Term Short Memory Based Ultra-Wideband Range Error Mitigation Method for Line of Sight and No... by A. S. M. Sharifuzzaman Sagar, Samsil Arefin, Eesun Moon, Md Masud Pervez Prince, L. Minh Dang, Amir Haider, Hyung Seok Kim

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Automated orofacial virtual patient creation using two cohorts of MSCT vs. CBCT scans by Thanatchaporn Jindanil, Oana-Elena Burlacu-Vatamanu, Benedetta Baldini, Joeri Meyns, Jeroen Meewis, Rocharles Cavalcante Fontenele, Maria Cadenas de Llano Perula, Reinhilde Jacobs

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Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video) by Jian Chen, Ganhong Wang, Kaijian Xia, Zhenni Wang, Luojie Liu, Xiaodan Xu

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PermQRDroid: Android malware detection with novel attention layered mini-ResNet architecture over effective permission information image by Kazım Kılıç, İbrahim Alper Doğru, Sinan Toklu

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Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model by Zixuan Zhang, Yike He, Di Hu, Qiang Jin, Manxu Zhou, Zongwei Liu, Hongli Chen, He Wang, Xinchen Xiang

“…Abstract Cracks that occur in concrete surfaces are numerous and diverse, and different cracks will affect road safety in different degrees. …”
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Exploring Generative Adversarial Network-Based Augmentation of Magnetic Resonance Brain Tumor Images by Mahnoor Mahnoor, Oona Rainio, Riku Klén

“…Background: A generative adversarial network (GAN) has gained popularity as a data augmentation technique in the medical field due to its efficiency in creating synthetic data for different machine learning models. In particular, the earlier literature suggests that the classification accuracy of a convolutional neural network (CNN) used for detecting brain tumors in magnetic resonance imaging (MRI) images increases when GAN-generated images are included in the training data together with the original images. …”
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An ensemble deep learning model for author identification through multiple features by Yuan Zhang

“…Our approach enhances generalization to a great extent by combining a wide range of writing styles representations such as statistical features, TF-IDF vectors, and Word2Vec embeddings. The different sets of features are fed through separate Convolutional Neural Networks (CNN) so that the specific stylistic features can be extracted. …”
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Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis by Wai Ying Kot, Sum Yin Au Yeung, Yin Yan Leung, Pui Hang Leung, Wei-fa Yang

“…Various deep learning algorithms were categorized according to the backbone network, encompassing single-stage convolutional models, convolutional models with U-Net architecture, Transformer models, convolutional models with attention mechanisms, and combinations of multiple models. …”
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A Comparative Analysis of Deep Learning-Based Segmentation Techniques for Terrain Classification in Aerial Imagery by Martina Formichini, Carlo Alberto Avizzano

“…Nevertheless, most of these networks were designed to perform in different scenarios, such as autonomous driving and medical imaging. …”
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Evaluation of Deep Learning Models for Insects Detection at the Hive Entrance for a Bee Behavior Recognition System by Gabriela Vdoviak, Tomyslav Sledevič, Artūras Serackis, Darius Plonis, Dalius Matuzevičius, Vytautas Abromavičius

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Fault diagnosis in photovoltaic arrays: A robust and efficient approach using feature engineering and 1D-CNN by Yousif Mahmoud Ali, Lei Ding

“…Moreover, the pre-trained 1D-CNN model can diagnose faults across different PV array scales without requiring retraining, highlighting the model transferability in the proposed method.…”
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Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…This study proposes a multi-stage altitude prediction model using attention mechanisms and temporal convolutional neural networks (TCNs).Methods The aircraft’s flight stages are determined to facilitate targeted altitude prediction for different flight phases. …”
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A Novel Mixed-Precision Quantization Approach for CNNs by Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao

“…Mixed-precision quantization assigns different quantization precision to different layers of a CNN. …”
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Sign language detection dataset: A resource for AI-based recognition systemsMendeley Data by Bindu Garg, Manisha Kasar, Priyanka Paygude, Amol Dhumane, Srinivas Ambala, Jitendra Rajpurohit, Abhay Sharma, Vidula Meshram, Amber Vats, Achyut Kashyap

“…Hand gestures are classified by the Convolutional Neural Network (CNN) model to different signs. …”
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Renal Biopsy Pathological Tissue Segmentation: A Comprehensive Review and Experimental Analysis by Yan Liu, Taiping Wang, Xinxin He, Wei Wang, Qiang He, Juan Jin

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Analysis and Prediction of Deformation of Shield Tunnel Under the Influence of Random Damages Based on Deep Learning by Xiaokai Niu, Yuqiang Pan, Wei Li, Zhitian Xie, Wei Song, Chengping Zhang

“…First, a refined three-dimensional finite element model was established, and a random damage modeling method was developed to simulate the deformation evolution of tunnel segments under different damage ratios. Additionally, a statistical analysis was conducted to assess the uncertainty in deformation caused by random damage. …”
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