An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things by Muhammad Babar, Muhammad Usman Tariq, Basit Qureshi, Zabeeh Ullah, Fahim Arif, Zahid Khan

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Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model by Youfu He, Youfu He, Youfu He, Yu Zhou, Yu Zhou, Yu Qian, Jingjie Liu, Jinyan Zhang, Debin Liu, Qiang Wu, Qiang Wu

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Deep Learning in Cybersecurity: A Hybrid BERT–LSTM Network for SQL Injection Attack Detection by Yixian Liu, Yupeng Dai

“…This paper presents a novel deep learning framework that integrates Bidirectional Encoder Representations from Transformers (BERT) and Long Short-Term Memory (LSTM) networks, enhancing the detection of SQL injection attacks. …”
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Research on Monitoring method of Urban Road Waterlogging Depth Based on Deep Learning and Ellipse Detection by LIAO Yuhong, HUANG Guoru

Subjects: “…deep learning…”
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Deep learning for predicting prognostic consensus molecular subtypes in cervical cancer from histology images by Ruoyu Wang, Gozde N. Gunesli, Vilde Eide Skingen, Kari-Anne Frikstad Valen, Heidi Lyng, Lawrence S. Young, Nasir Rajpoot

“…This study proposes an end-to-end deep learning framework to predict consensus molecular subtypes (CMS) in HPV-positive cervical squamous cell carcinoma (CSCC) from H&E-stained histology slides. …”
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Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation by Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

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AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples by Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Lee Sael, Sun Kim, Sungroh Yoon, Daehyun Baek

“…In this study, we constructed a substantially extended set of actual positive variants originating from a wide range of tumor purities and sequencing depths, as well as actual negative variants derived from sequencer-specific sequencing errors. A deep learning model named AIVariant, trained on this extended dataset, outperforms previously reported methods when tested under various tumor purities and sequencing depths, especially low tumor purity and sequencing depth.…”
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Advancing precision agriculture with deep learning enhanced SIS-YOLOv8 for Solanaceae crop monitoring by Ruiqian Qin, Yiming Wang, Xiaoyan Liu, Xiaoyan Liu, Helong Yu

Subjects: “…deep learning…”
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Deep Learning-Based Channel Estimation to Mitigate Channel Aging in Massive MIMO With Pilot Contamination by Hiroki Hirose, Siyuan Yang, Tomoaki Ohtsuki, Mondher Bouazizi

“…This paper proposes a novel deep learning-based channel estimation approach that effectively mitigates the dual challenges of channel aging and pilot contamination. …”
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Retracted: Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams by Bioinorganic Chemistry and Applications

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Deep Learning-Enabled Variational Optimization Method for Image Dehazing in Maritime Intelligent Transportation Systems by Xianjun Hu, Jing Wang, Chunlei Zhang, Yishuo Tong

“…To further enhance dehazing performance, the solutions of subproblems obtained in this optimization algorithm are equivalent to deep learning-based image denoising. Due to the powerful representation ability, the proposed method can accurately and robustly estimate the transmission map and latent sharp image. …”
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Multi-type low-rate DDoS attack detection method based on hybrid deep learning by Lijuan LI, Man LI, Hongjun BI, Huachun ZHOU

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Feature Extraction of Broken Glass Cracks in Road Traffic Accident Site Based on Deep Learning by Shuai Liang

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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

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Optimized deep learning model with integrated spectrum focus transformer for pavement distress recognition and classification by Wenlin Wu, Fenghua Zhu, Zheng Li, Xue Li, Xiaowei Li, Jinwen Wang

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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…**Background:** Deep Learning (DL) has not been well-established as a method to identify high-risk patients among patients with heart failure (HF). …”
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Detection and Management of Water Stress at Plants by Deep Learning and Image processing Case-study of Tomato by Guerbaoui Mohammed, Ichou Ismail, Bakziz Zakaria, Selmani Abdelouahed, El Faiz Samira, Ed-Dahhak Abdelali, Benhala Bachir, Lachhab Abdeslam

“…This project aims to develop an innovative technique for detecting water stress in tomato plants using deep learning and image processing techniques, and to integrate it into a mobile application for real-time monitoring. …”
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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

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Deep learning for compressed sensing based sparse channel estimation in FDD massive MIMO systems by Yuan HUANG, Yigang HE, Yuting WU, Tongtong CHENG, Yongbo SUI, Shuguang NING

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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

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