Wavelet-CNN for temporal data: Enhancing long-term stock price prediction via multi-resolution wavelet decomposition and CNN-based feature extraction by Komei Hiruta, Junsuke Senoguchi

“…To address these challenges, we propose an approach that combines wavelet transformation and a convolutional neural network (CNN), both of which are specialized for long-term stock price prediction, to efficiently and automatically extract the features of stock prices at various temporal resolutions. …”
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A Low-Cost AI-Powered System for Early Detection of Diabetic Retinopathy and Ocular Diseases in Resource Limited Settings by Harpreet Vohra, Mohammad Kamrul Hasan, Siti Norul Huda Sheikh Abdullah, Shayla Islam, Abdul Hadi Abd Rahman, Shreya N. Bhojake, Dhruv Bobal, Awal Kaur Gandhi, Muskan, Chandramohan Dhasarathan

“…Eye Health is a vital yet often neglected aspect of healthcare, especially in distant and deprived regions that are less accessible to specialized diagnostic tools and professionals. This paper introduces an intelligent diabetic retinopathy detection system to enhance affordability, accessibility, and early diagnosis. …”
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A Multimodal Machine Learning Model in Pneumonia Patients Hospital Length of Stay Prediction by Anna Annunziata, Salvatore Cappabianca, Salvatore Capuozzo, Nicola Coppola, Camilla Di Somma, Ludovico Docimo, Giuseppe Fiorentino, Michela Gravina, Lidia Marassi, Stefano Marrone, Domenico Parmeggiani, Giorgio Emanuele Polistina, Alfonso Reginelli, Caterina Sagnelli, Carlo Sansone

“…As a case study, we applied this framework to pneumonia patient data collected during the COVID-19 pandemic at two hospitals in Naples, Italy—one specializing in infectious diseases and the other general-purpose. …”
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Objects outline delineation by nonliniear filtration methods for boundary pixels by D. V. Zaerko, V. A. Lipnitski, N. L. Bobrova, Dm. V. Zaerko

“…The main target is describing of features special methods to redefining border pixels which positively affecting the subsequent evaluation of the responses for this pixels by algorithms of outline objects segmentation. …”
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Advanced Interpretation of Bullet-Affected Chest X-Rays Using Deep Transfer Learning by Shaheer Khan, Nirban Bhowmick, Azib Farooq, Muhammad Zahid, Sultan Shoaib, Saqlain Razzaq, Abdul Razzaq, Yasar Amin

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Mapping Galaxy Images across Ultraviolet, Visible, and Infrared Bands Using Generative Deep Learning by Youssef Zaazou, Alex Bihlo, Terrence S. Tricco

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Heart Disease Classification From Echocardiogram Images Using Deep Learning by Muhammad Raoof, Muhammad Mahtab, Sohail Masood Bhatti, Muhammad Rashid, Arfan Jaffar

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CNN-based state prediction for a varying number of storage in economic dispatch by Xiang Pan, Wei Lin, Linze Yang, Yanfang Mo

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The Algorithm for Preparing a Set of Data for Teaching Neural Networks on the Example of the Task to Analyze the Radiological Images of Lungs by A. A. Kosareva

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Deep Learning-Based Fake-Banknote Detection for the Visually Impaired People Using Visible-Light Images Captured by Smartphone Cameras by Tuyen Danh Pham, Chanhum Park, Dat Tien Nguyen, Ganbayar Batchuluun, Kang Ryoung Park

“…However, they require specialized devices, which are not always available for general users or visually impaired people. …”
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Dual-channel knowledge attention for traditional Chinese medicine syndrome differentiation by Boting Liu, Hengqiu Huang, Xiaoman Liu, Juntao Zhao, Jiean Mo

“…However, TCM texts contain numerous obscure characters and specialized terminologies, which existing methods struggle to effectively extract, leading to lower accuracy in syndrome differentiation. …”
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AI-Enhanced Detection of Heart Murmurs: Advancing Non-Invasive Cardiovascular Diagnostics by Maria-Alexandra Zolya, Elena-Laura Popa, Cosmin Baltag, Dragoș-Vasile Bratu, Simona Coman, Sorin-Aurel Moraru

“…This study presents a novel convolutional recurrent neural network (CRNN) model designed for the non-invasive classification of heart murmurs. …”
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An ensemble deep learning model for author identification through multiple features by Yuan Zhang

“…More importantly, a self-attention mechanism is presented to smartly combine the results of these specialized CNNs so that the model can dynamically learn the significance of each type of features. …”
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PolyNet: A self-attention based CNN model for classifying the colon polyp from colonoscopy image by Khaled Eabne Delowar, Mohammed Borhan Uddin, Md Khaliluzzaman, Riadul Islam Rabbi, Md Jakir Hossen, M. Moazzam Hossen

“…However, there are currently no specialized methods for the classification of polyps from colonoscopy; however, several state-of-the-art CNN models can classify polyps. …”
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Deep Learning Neurons in Medical Insight: Revolutionizing Image Analysis for Disease Prediction and Diagnosis by Moise Hermann Mabouh

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Implementation of an AI English-Speaking Interactive Training System Using Multi-Model Neural Networks by Ching-Ta Lu, Yen-Yu Lu, Yi-Ru Lu, Ying-Chen Pan, Yu-Chun Liu

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CNN-Based Phase Matching for the OAM Mode Selection in Turbulence Heterodyne Coherent Mitigation Links by Chunyong Yang, Kaige Shan, Jun Chen, Jin Hou, Shaoping Chen

“…It is worth mentioning that intelligent phase matching (IPM) of the OAM beams based on the convolutional neural network (CNN) is the remarkable feature. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…When changing scenes, adding fruit types and updating features, the feature extractor needs to be redesigned and adjusted, and in special cases, the entire system needs to be retrained. …”
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DGNMDA: Dual Heterogeneous Graph Neural Network Encoder for miRNA-Disease Association Prediction by Daying Lu, Qi Zhang, Chunhou Zheng, Jian Li, Zhe Yin

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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…While maintaining the deep feature extraction capability of VGG19, which is well-regarded in the field, the model employs specially designed convolutional layers and skip connections. …”
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