Research on business oriented 5G base station energy saving system based on AI deep learning by Mengqiang XU

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Retracted: A Deep Learning Filter that Blocks Phishing Campaigns Using Intelligent English Text Recognition Methods by Applied Bionics and Biomechanics

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Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm by Dorota Mozyrska, Ewa Pawluszewicz

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A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism by Fan Wang, Aihua Liu, Chunyang Qu, Ruolan Xiong, Lu Chen

“…Remaining useful life (RUL) prediction is a cornerstone of Prognostic and Health Management (PHM) for power machinery, playing a crucial role in ensuring the reliability and safety of these critical systems. In recent years, deep learning techniques have shown great promise in RUL prediction, providing more reliable and accurate outcomes. …”
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Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation by Jamal Hassan Ougahi, John S Rowan

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A Novel Ensemble Meta-Model for Enhanced Retinal Blood Vessel Segmentation Using Deep Learning Architectures by Mohamed Chetoui, Moulay A. Akhloufi

Subjects: “…deep learning…”
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Hybrid dung beetle optimization based dimensionality reduction with deep learning based cybersecurity solution on IoT environment by Amal K. Alkhalifa, Nuha Alruwais, Wahida Mansouri, Munya A. Arasi, Mohammed Alliheedi, Fouad Shoie Alallah, Alaa O. Khadidos, Abdulrhman Alshareef

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FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images by Wenxing Hu, Kejie Li, Jake Gagnon, Ye Wang, Talia Raney, Jeron Chen, Yirui Chen, Yoko Okunuki, Will Chen, Baohong Zhang

“…In this study, we present FundusNet, a deep-learning model trained on fundus images, for rapid and cost-effective diagnosis of neurodegenerative diseases. …”
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Fluorescence Lifetime Endoscopy with a Nanosecond Time-Gated CAPS Camera with IRF-Free Deep Learning Method by Pooria Iranian, Thomas Lapauw, Thomas Van den Dries, Sevada Sahakian, Joris Wuts, Valéry Ann Jacobs, Jef Vandemeulebroucke, Maarten Kuijk, Hans Ingelberts

“…In this work, the capabilities of an endoscopic lifetime imaging system are demonstrated using a rigid endoscope involving various phantoms and an IRF-free deep learning-based method with only 6-time points. The results show that this application’s fluorescence lifetime image has better lifetime uniformity and precision with 6-time points than the conventional methods.…”
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Exploration of deep-learning-based dose rate estimation model for a large-volume plastic scintillation detector by Byoungil Jeon, Jisung Hwang, Myungkook Moon

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Enhancing water pressure sensing in challenging environments: A strain gage technology integrated with deep learning approach by Thanh Q Nguyen, Vu Ba Tu, Duong N Nguyen

“…Moreover, the study incorporates a pioneering deep learning-based data acquisition model to enhance output values, a feature currently underutilized in sensor technology. …”
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Estimating and forecasting daily reference crop evapotranspiration in China with temperature-driven deep learning modelsMendeley Data by Jia Zhang, Yimin Ding, Lei Zhu, Yukuai Wan, Mingtang Chai, Pengpeng Ding

“…Previous studies have developed many ETo estimation models using deep learning (DL) algorithm, which only require temperature data as input. …”
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A deep learning-based integrated analytical system for tumor exosome on-chip isolation and automated image identification by Yunxing Lu, Haihui Wang, Zhou Zeng, Jianan Hui, Jiangyu Ji, Hongju Mao, Qiang Shi, Xiaoyue Yang

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An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain by Zeynep Hilal Kilimci, A. Okay Akyuz, Mitat Uysal, Selim Akyokus, M. Ozan Uysal, Berna Atak Bulbul, Mehmet Ali Ekmis

“…For this purpose, historical data can be analyzed to improve demand forecasting by using various methods like machine learning techniques, time series analysis, and deep learning models. In this work, an intelligent demand forecasting system is developed. …”
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Retracted: Role of Artificial Intelligence and Deep Learning in Easier Skin Cancer Detection through Antioxidants Present in Food by Journal of Food Quality

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A multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images by Anitha Ponraj, Palanigurupackiam Nagaraj, Duraisamy Balakrishnan, Parvathaneni Naga Srinivasu, Jana Shafi, Wonjoon Kim, Muhammad Fazal Ijaz

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Shifted dominant flood drivers of an alpine glacierized catchment in the Tianshan region revealed through interpretable deep learning by Wenting Liang, Weili Duan, Yaning Chen, Gonghuan Fang, Shan Zou, Zhi Li, Zewei Qiu, Haodong Lyu

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A Deep-Learning-Inspired Person-Job Matching Model Based on Sentence Vectors and Subject-Term Graphs by Xiaowei Wang, Zhenhong Jiang, Lingxi Peng

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Harnessing advanced hybrid deep learning model for real-time detection and prevention of man-in-the-middle cyber attacks by V. Kandasamy, A. Ameelia Roseline

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Real-Time Pipeline Leak Detection: A Hybrid Deep Learning Approach Using Acoustic Emission Signals by Faisal Saleem, Zahoor Ahmad, Jong-Myon Kim

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