Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering by Senhui Wang

“…Finally, the model is examined using actual production data of a year from a sinter plant, and is compared with the algorithms of single ELM, GA-BP and deep learning method. A comparison is conducted to confirm the superiority of the proposed model with two traditional models. …”
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CNN-Trans-SPP: A small Transformer with CNN for stock price prediction by Ying Li, Xiangrong Wang, Yanhui Guo

“…Stock price prediction is particularly difficult due to the inherent complexity and stochastic nature of the stock market. Deep learning models offer a more robust solution to nonlinear problems compared to traditional algorithms. …”
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Improved COVID-19 Diagnosis Using a Hybrid Transfer Learning Model with Fuzzy Edge Detection on CT Scan Images by Hassan Salarabadi, Mohammad Saber Iraji, Mehdi Salimi, Mehdi Zoberi

“…Consequently, there is a need for a quick recognition system based on deep learning techniques to detect COVID-19 infection and prevent its spread. …”
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One-Shot Segmentation of Battery Cells with Gradual Learning by Johann Christopher Engster, Nele Blum, Laura Hellwege, Thorsten M. Buzug, Maik Stille

“…One aspect is the visualization of inner structures, which can be achieved by computed tomography (CT) as a non-destructive testing (NDT) method. Deep-learning tools can learn and perform different image processing tasks in the obtained volume quickly. …”
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Short Video Copyright Storage Algorithm Based on Blockchain and Expression Recognition by Yang Yang, Dingguo Yu

“…Moreover, the computing operation of deep learning technology on short video not only ensures the privacy of storage certificate information but also ensures the possibility of blockchain storage of video information. …”
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Efficient Image Super-Resolution with Multi-Branch Mixer Transformer by Long Zhang, Yi Wan

“… Deep learning methods have demonstrated significant advancements in single image super-resolution (SISR), with Transformer-based models frequently outperforming CNN-based counterparts in performance. …”
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Copyright protection of deep image classification models by Y.D. Vybornova, D.I. Ulyanov

“…With the growing number of tasks solved using deep learning methods, the need for protection against unauthorized distribution of the intellectual property such as pre-trained models of deep neural networks is growing. …”
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Environmental Fault Diagnosis of Solar Panels Using Solar Thermal Images in Multiple Convolutional Neural Networks by Tamilselvi Selvaraj, Ramasubbu Rengaraj, GiriRajanbabu Venkatakrishnan, SoundhariyaGanesan Soundararajan, Karuppiah Natarajan, PraveenKumar Balachandran, PrinceWinston David, Shitharth Selvarajan

“…A timely and accurate diagnosis of environmental faults reduces the damage caused by faults on the panel. In recent years, deep learning precisely convolutional neural networks have achieved wonderful results in many applications. …”
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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

“…The UCI machine learning heart disease dataset compares the results and analyses of various machine learning approaches, including deep learning. We used a dataset with 13 primary characteristics to carry out the research. …”
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Maize quality detection based on MConv-SwinT high-precision model. by Ning Zhang, Yuanqi Chen, Enxu Zhang, Ziyang Liu, Jie Yue

“…To address these issues, this study employs the Swin Transformer as an enhanced base model, integrating machine vision and deep learning techniques for corn quality assessment. …”
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Fusing multispectral information for retinal layer segmentation by Xiang He, Fuwang Wu, Kaixuan Hu, Lizhen Cui, Weiye Song, Yi Wan

“…Abstract Extensive research on retinal layer segmentation (RLS) using deep learning (DL) is mostly approaching a performance plateau, primarily due to reliance on structural information alone. …”
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Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

“…In this work, we make an Image Classification model for determining the suborder of a nudibranch using deep learning algorithms DenseNet and EfficientNet. The experiment is conducted using Google Colaboratory environment. …”
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Towards Pedestrian Target Detection with Optimized Mask R-CNN by Dong-Hao Chen, Yu-Dong Cao, Jia Yan

“…Aiming at the problem of low pedestrian target detection accuracy, we propose a detection algorithm based on optimized Mask R-CNN which uses the latest research results of deep learning to improve the accuracy and speed of detection results. …”
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Exploring the use of tutorial recordings for beginner distance learners of Chinese by Pleines Christine, Kan Qian

“…Dialogue between tutor and learner or between peers may mediate the understanding not just of direct participants, but also of listeners, and listening to interactive recordings may facilitate deep learning. In language learning, both direct and indirect interactions have been shown to contribute to language development. …”
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Rapid and Nondestructive Detection of Proline in Serum Using Near-Infrared Spectroscopy and Partial Least Squares by Kejing Zhu, Shengsheng Zhang, Keyu Yue, Yaming Zuo, Yulin Niu, Qing Wu, Wei Pan

“…With the great advantages of deep learning in feature extraction, near-infrared analysis technology has great potential and has been widely used in various fields. …”
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Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment by Mohammadamin Nikmanesh, Michael E. Cinelli, Daniel S. Marigold

“…Thus, we filmed unscripted pedestrian walking behaviours on a busy urban path. We leveraged deep learning algorithms to identify and extract pedestrian walking trajectories and had unbiased raters characterize situations where two pedestrians approached each other from opposite ends. …”
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Type 1 and Type 2 Diabetes Measurement Using Human Face Skin Region by L. Aneesh Euprazia, A. Rajeswari, K. K. Thyagharajan, N. R. Shanker

“…Results. The existing deep learning models are compared with the proposed MWTCNN model, which provides the highest accuracy of 98.3%. …”
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Advanced Breast Cancer Diagnostics With PolyBreastVit: A Combined PolyNet and Vision Transformer Approach by Visalakshi Annepu, Mohamed Abbas, Hanumatha Rao Bitra, Naveen Kumar Vaegae, Kalapraveen Bagadi

“…Here is a presentation of PolyBreastVit, a novel hybrid deep learning (DL) model for the automatic detection and classification of breast cancer in ultrasound images that combines PolyNet with Vision Transformer (ViT). …”
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Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect by Qikui Zhu, Bo Du, Baris Turkbey, Peter Choyke, Pingkun Yan

“…In the past several years, approaches based on deep learning technology have made significant progress on prostate segmentation. …”
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CoTF-reg reveals cooperative transcription factors in oligodendrocyte gene regulation using single-cell multi-omics by Jerome J. Choi, John Svaren, Daifeng Wang

“…First, we identify co-binding TF pairs in the same oligodendrocyte-specific regulatory regions. Next, we train a deep learning model to predict each TG expression using the co-binding TFs’ expressions. …”
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