Assessment of a Smartphone-Based Neural Network Application for the Risk Assessment of Skin Lesions under Real-World Conditions by Teresa Maria Kränke, Philipp Efferl, Katharina Tripolt-Droschl, Rainer Hofmann-Wellenhof

“…Eighty-five lesions (5.69%) had to be discussed in a joint review process. The tested algorithm reached a sensitivity of 76.9% (CI 71.7%-81.5%) and a specificity of 80.9% (CI 78.5%-83.2%). …”
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Singular Points of Curves by Artem D. Uvarov

“…In conclusion, this method is considered in the case when the function has such a relief, that in the neighborhood of the minimum point the level surfaces are strongly elongated ellipsoids. All the images given in this article are the result of the work of algorithms on methods proposed by the author. …”
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Differentiable architecture search-based automatic modulation recognition for multi-carrier signals by LI Jie, LI Jing, LYU Lu, GONG Fengkui

“…The time-frequency images, which were insensitive to modulation parameters, were selected as feature vectors to train the neural network. …”
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High sensitivity in spontaneous intracranial hemorrhage detection from emergency head CT scans using ensemble-learning approach by Juuso Takala, Heikki Peura, Riku Pirinen, Katri Väätäinen, Sergei Terjajev, Ziyuan Lin, Rahul Raj, Miikka Korja

“…Although the success of DL algorithms depends on multiple factors, including training data versatility and quality of annotations, using the proposed ensemble-learning approach and rule-based post-processing may help clinicians to develop highly accurate DL solutions for clinical imaging diagnostics.…”
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THE METHOD OF GEOMETRIC CALIBRATION OF OPTOELECTRONIC SYSTEMS BASED ON ELECTRONIC TEST OBJECT by D. A. Kozhevnikov, R. V. Feodortsau

“…The calculation of the test string brightness image from its multispectral image and filtered signal extrema position determination are presented. …”
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DCW-YOLO: An Improved Method for Surface Damage Detection of Wind Turbine Blades by Li Zou, Anqi Chen, Chunzi Li, Xinhua Yang, Yibo Sun

“…In light of these challenges, a novel model named DCW-YOLO for surface damage detection of WTBs is proposed in this research, which leverages image data collected by unmanned aerial vehicles (UAVs) and the YOLOv8 algorithm for image analysis. …”
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Dimension Reduction Using Quantum Wavelet Transform on a High-Performance Reconfigurable Computer by Naveed Mahmud, Esam El-Araby

“…Experimental work has been performed using high-resolution image data on a state-of-the-art multinode high-performance reconfigurable computer. …”
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Moving target recognition and unmanned aerial vehicle following based on deep deterministic policy gradient by LIU Xin, ZHANG Qianfei, LIU Chengyu, GAO Han

“…In order to solve the problems of loss of moving targets due to the flight status of the unmanned aerial vehicle (UAV) itself, the interference of the environment, the randomness of the target and other reasons in the process of collecting moving target image information by the UAV platform, a deep deterministic policy gradient (DDPG) algorithm UAV following method based on moving target recognition was proposed. …”
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Enhanced P2P Services Providing Multimedia Content by E. Ardizzone, L. Gatani, M. La Cascia, G. Lo Re, M. Ortolani

“…In order to limit the network traffic load, maximizing the usefulness of each peer contacted in the query process, we also propose the adoption of an adaptive overlay routing algorithm, exploiting compact representations of the multimedia resources shared by each peer. …”
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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…Addressing the problem of inadequate environmental detection in the process of optimizing search for unmanned surface vehicles (USVs) by a heuristic algorithm, this paper proposes a comprehensive visual perception method that combines a lightweight convolutional neural network (CNN) with the USV’s real-time heading angle. …”
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Position-Aware Graph Neural Network for Few-Shot SAR Target Classification by Jia Zheng, Ming Li, Peng Zhang, Yan Wu, Hongmeng Chen

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Radiomics-based machine learning for automated detection of Pneumothorax in CT scans. by Hanieh Alimiri Dehbaghi, Karim Khoshgard, Hamid Sharini, Samira Jafari Khairabadi, Farhad Naleini

“…By enhancing the detection of pneumothorax, this research aims to mitigate diagnostic errors and accelerate the process of image interpretation, ultimately improving patient outcomes. …”
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Laparoscopic Suture Gestures Recognition via Machine Learning: A Method for Validation of Kinematic Features Selection by Juan M. Herrera-Lopez, Alvaro Galan-Cuenca, Antonio J. Reina, Isabel Garcia-Morales, Victor F. Munoz

“…Research in this task has utilized both image data, mainly using Deep Learning and Convolutional Neural Networks, and kinematic data extracted from the surgeons’ instruments, processing kinematic sequences with Markov models, Recurrent Neural Networks and even unsupervised learning techniques. …”
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Intelligent recognition technology of high speed moving target contour in dynamic visual scene by Min Qiu

“…If the target is accompanied by high acceleration, motion blur will occur during the imaging process, increasing the difficulty of contour extraction and causing deviation in target recognition. …”
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AutoML: A systematic review on automated machine learning with neural architecture search by Imrus Salehin, Md. Shamiul Islam, Pritom Saha, S.M. Noman, Azra Tuni, Md. Mehedi Hasan, Md. Abu Baten

“…We provide a summary of the performance achieved by representative NAS algorithms on the CIFAR-10, CIFAR-100, ImageNet and well-known benchmark datasets. …”
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A wheat seedling counting method based on two-stage convolutional neural network by Menghan Li, Lijie Zhang, Chunshan Wang, Chunjiang Zhao, Libo Li, Dongxiao Li, Yaxuan Xu

“…Firstly, after labelling wheat seedlings with laser, the image data was collected using a self-developed data acquisition device. …”
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Highly Efficient Digitized Quasi-3D Photolithography Based on a Modified Golomb Coding via DMD Laser Direct Writing by Hui Wang, Zhe Huang, Yanting Shen, Shangying Zhou

“…In this paper, we propose a quasi-3D digitized photolithography via LDW with a DMD to remove multiple developing cycles from the process. This approach quantizes the dose of the 3D geometry and stores it in a grayscale image. …”
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Fresh Tea Leaf-Grading Detection: An Improved YOLOv8 Neural Network Model Utilizing Deep Learning by Zejun Wang, Yuxin Xia, Houqiao Wang, Xiaohui Liu, Raoqiong Che, Xiaoxue Guo, Hongxu Li, Shihao Zhang, Baijuan Wang

“…This approach integrates a Hierarchical Vision Transformer using Shifted Windows to replace segments of the original YOLOv8’s network architecture, thereby alleviating the computational load of dense image processing tasks and reducing computational expenses. …”
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Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria by Yang Zhou, Junpeng Zhao, Junping Wen, Ziyan Wu, Yongzhen Dong, Yiping Chen

“…A lightweight unsupervised learning hologram processing algorithm considerably reduces training time and computing hardware requirements, without requiring datasets with manual labels. …”
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Research on license plate recognition based on graphically supervised signal-assisted training by Dianwei Chi, Zehao Jia, Lizhen Liu

“…This study also provides new ideas for other deep learning image recognition tasks.…”
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