Detection and Segmentation of Glioma Tumors Using an Improved Visual Geometry Group (IVGG) Deep Learning Structure by Parameswari Alagarsamy, Vinoth Kumar Kalimuthu, Bhavani Sridharan

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KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning by Huimin Luo, Huimin Luo, Hui Yang, Hui Yang, Ge Zhang, Ge Zhang, Jianlin Wang, Jianlin Wang, Junwei Luo, Chaokun Yan, Chaokun Yan, Chaokun Yan

“…In this study, we propose a novel deep learning-based framework KGRDR containing multi-similarity integration and knowledge graph learning to predict potential drug-disease interactions. …”
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Deep learning-based algorithm for classifying high-resolution computed tomography features in coal workers’ pneumoconiosis by Hantian Dong, Biaokai Zhu, Xiaomei Kong, Xuesen Su, Ting Liu, Xinri Zhang

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Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study by Chi Pui Pang, Weiqi Chen, Mingzhi Zhang, Tsz Kin Ng, Yi Zheng, Guihua Zhang, Jian-Wei Lin, Ji Wang, Jie Ji, Ling-Ping Cen, Peiwen Xie, Yongqun Xiong, Hanfu Wu, Dongjie Li

“…Objective To develop and validate a real-world screening, guideline-based deep learning (DL) system for referable diabetic retinopathy (DR) detection.Design This is a multicentre platform development study based on retrospective, cross-sectional data sets. …”
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Heuristic Forest Fire Detection Using the Deep Learning Model with Optimized Cluster Head Selection Technique by Sengottaiyan N., Ananthi J., Rajesh Sharma R., Hamsanandhini S., Sungheetha Akey, Chinnaiyan R., Ketema Adare Gemeda

“…The deep learning model utilizes various environmental data parameters such as humidity, wind speed, temperature and former fire incidents. …”
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Safety-Critical Oracles for Metamorphic Testing of Deep Learning LiDAR Point Cloud Object Detectors by Simon Speth, Maximilian Trien, Dominik Kufer, Alexander Pretschner

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SS-YOLO: A Lightweight Deep Learning Model Focused on Side-Scan Sonar Target Detection by Na Yang, Guoyu Li, Shengli Wang, Zhengrong Wei, Hu Ren, Xiaobo Zhang, Yanliang Pei

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Exploring the subtle and novel renal pathological changes in diabetic nephropathy using clustering analysis with deep learning by Tomohisa Yabe, Yuko Tsuruyama, Kazutoshi Nomura, Ai Fujii, Yuto Matsuda, Keiichiro Okada, Shogo Yamakoshi, Yuya Hamabe, Shogo Omote, Akihiro Shioya, Norifumi Hayashi, Keiji Fujimoto, Yuki Todo, Tatsuro Tanaka, Sohsuke Yamada, Akira Shimizu, Katsuhito Miyazawa, Hitoshi Yokoyama, Kengo Furuichi

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Deep learning-based classification of gallbladder lesions in patients with non-diagnostic (GB-RADS 0) ultrasound by Pankaj Gupta, Ruby Siddiqui, Thakur D. Yadav, Lileswar Kaman, Gaurav Prakash, Parikshaa Gupta, Uma N. Saikia, Usha Dutta

Subjects: “…deep learning…”
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Automated Bitcoin Trading dApp Using Price Prediction from a Deep Learning Model by Zhi Zhan Lua, Chee Kiat Seow, Raymond Ching Bon Chan, Yiyu Cai, Qi Cao

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Boundary Extraction Based on Dual Stream Deep Learning Model in High Resolution Remote Sensing Images by Umut Aydar, Emin Özgür Avşar, Özgün Akçay, A. Cumhur Kınacı

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Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection by Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah, Anis Koubaa

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Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…The overall experimentation was carried out in two phases: (i) deep learning phase and (ii) machine learning phase. …”
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Reduced-Order Modeling of Cavity Flow Oscillations across Multi-Mach Numbers Using Deep Learning by Zhe Liu, Fangli Ning, Hui Ding, Qingbo Zhai, Juan Wei

“…In this paper, a reduced-order model combining POD and deep learning is proposed to predict cavity flow oscillations under different flow conditions. …”
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Bioinformatics-driven deep learning for nail disease diagnosis: A novel approach to improve healthcare outcomes by Ardianto Rian, Yusuf Dede, Sumantri Raden Bagus Bambang, Febrina Dina, Al-Hakim Rosyid R., Ariyanto Arif Setia Sandi

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Deep Learning Approach in Seismology: Enhancing Earthquake Forecasting using K-Means Clustering and LSTM Networks by Tyanita Puti Marindah Wardhani, Zulkifli Tahir, Elly Warni, Anugrayani Bustamin, Muhammad Alief Fahdal Imran Oemar, Muhammad Alwi Kayyum

Subjects: “…Deep learning…”
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A Cognitive Radio Spectrum Sensing Method for an OFDM Signal Based on Deep Learning and Cycle Spectrum by Guangliang Pan, Jun Li, Fei Lin

“…In this paper, we propose a novel spectrum sensing method based on deep learning and cycle spectrum, which applies the advantage of the convolutional neural network (CNN) in an image to the spectrum sensing of an orthogonal frequency division multiplex (OFDM) signal. …”
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Enhancing Monkeypox Detection through Data Analytics: A Comparative Study of Machine and Deep Learning Techniques by Kinjal A. Patel, Asadi Srinivasulu, Kuntesh Jani, Goddindla Sreenivasulu

“…This paper presents a comprehensive study that investigates the efficacy of machine and deep learning techniques in detecting monkeypox. The research utilizes monkeypox detection data to train and assess the performance of various machine learning and deep learning models. …”
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LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection by Hari Mohan Rai, Joon Yoo, Saurabh Agarwal, Neha Agarwal

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A MultiModal Detection Method for UHV Substation Faults Based on Robot Inspection and Deep Learning by Rong Meng, Zhao-lei Wang, Zhi-long Zhao, Jian-peng Li, Wei-ping Fu

“…Aiming at the problem of multi-modal fault detection of different equipment in ultrahigh voltage (UHV) substations, a method for based on robot inspection and deep learning is proposed. First, the inspection robot is used to collect the image data of different devices in the station and the source data is preprocessed by standard image augmentation and image aliasing augmentation. …”
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