A deep learning-based prognostic approach for predicting turbofan engine degradation and remaining useful life by Samiha M. Elsherif, Bassel Hafiz, M. A. Makhlouf, Osama Farouk

“…The proposed model utilizes an autoencoder followed by an LSTM layer with an attention mechanism, which focuses on the most relevant components of the sequences. A fully connected layer of the convolutional neural network is used to further process the important features. …”
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Enhancing Portfolio Optimization: A Two-Stage Approach with Deep Learning and Portfolio Optimization by Shiguo Huang, Linyu Cao, Ruili Sun, Tiefeng Ma, Shuangzhe Liu

“…A complete portfolio selection process includes two stages: stock pre-selection and portfolio optimization. However, most existing studies focus on portfolio optimization, often overlooking stock pre-selection. …”
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Bitcoin price direction prediction using on-chain data and feature selection by Ritwik Dubey, David Enke

“…Bitcoin is the most traded cryptocurrency by volume and market cap. …”
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Analysis of Cardiac Arrhythmias Based on ResNet-ICBAM-2DCNN Dual-Channel Feature Fusion by Chuanjiang Wang, Junhao Ma, Guohui Wei, Xiujuan Sun

“…Cardiovascular disease (CVD) poses a significant challenge to global health, with cardiac arrhythmia representing one of its most prevalent manifestations. The timely and precise classification of arrhythmias is critical for the effective management of CVD. …”
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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

“…The object detection method follows a geometric deep learning model based on convolutional neural networks. Following an extensive review of available solutions, algorithms, and networks based on this convolutional strategy, it was determined that the You Only Look Once algorithm in its version 8 (YOLOv8) would be the most suitable for object detection due to its performance and features. …”
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Use of Artificial Intelligence in Imaging Dementia by Manal Aljuhani, Azhaar Ashraf, Paul Edison

“…Alzheimer’s disease is the most common cause of dementia in the elderly population (aged 65 years and over), followed by vascular dementia, Lewy body dementia, and rare types of neurodegenerative diseases, including frontotemporal dementia. …”
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A Study on Using Transfer Learning to Utilize Information From Similar Systems for Data-Driven Condition Diagnosis and Prognosis by Marcel Braig, Peter Zeiler

“…Both concepts are implemented with the neural network types multilayer perceptron, 1D convolutional neural network, and temporal convolutional network. …”
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YOLO-GML: An object edge enhancement detection model for UAV aerial images in complex environments. by Zhihao Zheng, Jianguang Zhao, Jingjing Fan

“…Finally, we propose a Lightweight layered Shared Convolutional BN(LLSCB) Detection Head based on LSCD, so that the detection heads share the convolutional layer, and the BN is calculated independently, which improves the detection accuracy and reduces the number of parameters. …”
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HUMAN EMOTION RECOGNITION SYSTEM USING DEEP LEARNING ALGORITHMS by Kateryna Yuvchenko, Valentyn Yesilevskyi, Olena Sereda

“…Therefore, the purpose of the work is to find and optimize the most satisfactory in terms of accuracy algorithm for classifying human emotions based on facial images. …”
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An urban road traffic flow prediction method based on multi-information fusion by Xiao Wu, Hua Huang, Tong Zhou, Yudan Tian, Shisen Wang, Jingting Wang

“…Then, a superimposed one-dimensional inflated convolutional layer is used to extract long-term trends, a dynamic graph convolutional layer to extract periodic features, and a short-term trend extractor to learn short-term temporal features. …”
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Reconsidering Authorship in the Ciceronian Corpus through Computational Authorship Attribution by Raija Vainio, Reima Välimäki, Anni Hella, Marjo Kaartinen, Teemu Immonen, Aleksi Vesanto, Filip Ginter

“…The most important of our results is that Commentariolum petitionis seems to be authored by Marcus Cicero, not by his brother Quintus.   …”
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Optimizing Natural Image Quality Evaluators for Quality Measurement in CT Scan Denoising by Rudy Gunawan, Yvonne Tran, Jinchuan Zheng, Hung Nguyen, Rifai Chai

“…The result was obtained using the library of good images. Most are also part of the Convolutional Neural Network (CNN) training dataset against the testing dataset, and a new dataset shows an optimum patch size and contrast levels suitable for the task. …”
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Using Vision Transformers for Classifying Surgical Tools in Computer Aided Surgeries by El Moaqet Hisham, Janini Rami, Abdulbaki Alshirbaji Tamer, Aldeen Jalal Nour, Möller Knut

“…Nevertheless, it faces challenges due to complex surgical scenes and limited annotated data. Most of the existing methods for classifying surgical tools in laparoscopic surgeries rely on conventional deep learning methods such as convolutional and recurrent neural networks. …”
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Prior Waveform Guided Network (PWGN) for Laser Detection in Fog by Haowei Zhu, Long Wu, Xu Yang, Lu Xu, Shuyu Chen, Yong Zhang, Jianlong Zhang, Chenghua Yang, Wei Zhang

“…With the rapid development of autonomous vehicles and mobile robotics, lidar has been one of the most popular researches in the world. But the poor ranging accuracy and detection range in the foggy situation have limited the application of lidar. …”
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LayerFold: A Python library to reduce the depth of neural networks by Giommaria Pilo, Nour Hezbri, André Pereira e Ferreira, Victor Quétu, Enzo Tartaglione

“…We address typical cases, from fully connected to convolutional layers, discussing constraints and prospective challenges. …”
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Kidneys and adrenal glands of Caiman yacare (Daudin, 1802) (Crocodylia: Alligatoridae): morphology and morphometry by MARIANA O. LIMA, LEONARDO L. GORZA, EDUARDO JOSÉ S. BORGES, YHURI C. NÓBREGA, LEONARDO O. TRIVILIN, RODRIGO G. FIGUEIREDO, MARIA APARECIDA DA SILVA

“…Morphometric analyzes revealed that male kidneys exceeds female kidneys in most macroscopic biometric dimensions. The diameter of the renal corpuscles for both sexes was greater in the caudal portion of the right kidney, and in the middle portion of the left kidney, for males.…”
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Automated liver segmentation from CT images using modified ResUNet by R.V. Manjunath, Yashaswini Gowda N, H.M. Manu

“…The Segmentation of liver from computed tomography (CT) images is a critical task in medical research particularly when employing deep learning methods. Most doctors prefer to use Computed tomography images for liver disease identification hence automatic liver segmentation plays a decisive role. …”
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WEDM: Wavelet-Enhanced Diffusion with Multi-Stage Frequency Learning for Underwater Image Enhancement by Junhao Chen, Sichao Ye, Xiong Ouyang, Jiayan Zhuang

“…Underwater image enhancement (UIE) is inherently challenging due to complex degradation effects such as light absorption and scattering, which result in color distortion and a loss of fine details. Most existing methods focus on spatial-domain processing, often neglecting the frequency-domain characteristics that are crucial for effectively restoring textures and edges. …”
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HDCTfusion: Hybrid Dual-Branch Network Based on CNN and Transformer for Infrared and Visible Image Fusion by Wenqing Wang, Lingzhou Li, Yifei Yang, Han Liu, Runyuan Guo

“…The effectiveness of the proposed method in this paper is verified on different experimental datasets, and it is better than most of the current advanced fusion algorithms.…”
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CMPF-UNet: a ConvNeXt multi-scale pyramid fusion U-shaped network for multi-category segmentation of remote sensing images by Ning Li, Xiaopeng Yu, Miao Yu

“…Most U-shaped convolutional neural network (CNN) methods have the problems of insufficient feature extraction and fail to fully utilize global/multi-scale context information, which makes it difficult to distinguish similar objects and shadow occluded objects in remote sensing images. …”
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