An Adaptive SVD-Based Approach to Clutter Suppression for Slow-Moving Targets by Yuhao Hou, Baixiao Chen

“…The proposed approach leverages the augmented implicitly restarted Lanczos bidiagonalization (AIRLB) algorithm to decompose echo matrices into different subspaces, which are then characterized in relation to Doppler frequency, energy, and correlation. These features are employed to classify the clutter subspaces using an SVM classifier, which solves the problem of selecting the SVD threshold. …”
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Railway safety monitoring algorithm based on distributed optical fiber vibration sensor by Fuyang CHEN, Bin JIANG, Yu SHA

“…Aiming at the monitoring problem of the human climbing behaviour existing along the railway,a railway safety detection algorithm based on distributed optical fiber vibration sensors was proposed by combining the distributed optical fiber sensing technology and signal analysis technology.The surrounding vibration was sensed and transmitted through the optical cables laid along the fence network of the railway,and then the Internet of things (IoT) connection between the railway and monitoring algorithm was built to realize the intelligent monitoring of the climbing behavior.In view of the complicated surrounding environment of the railway and more interference,the Hamming window and wavelet threshold denoising method were used to filter the signal of each frame to improve the signal-to-noise ratio of the vibration signal.In the selection of features,the power spectrum and short-time over-level rate of the signal were extracted from the time domain and frequency domain respectively as a joint feature to determine whether there was climbing or creeping behavior.Since that the climbing behavior was spatially continuous,the minimum alarm range was set to filter out alarms with a too small range,which improved the accuracy of the monitoring system.…”
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Bankline extraction in remote sensing images using principal curves by Yun GUO, Yi-huai WANG, Chun-ping LIU, Sheng-rong GONG, Yi JI

“…The resulting vector descriptions of banklines are more convenient for storage and reconstruc-tion and can be used as shape features for the detection and identification of river area in images.…”
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Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review by Ricardo Vardasca, Joaquim Gabriel Mendes, Carolina Magalhaes

“…The increasing incidence of and resulting deaths associated with malignant skin tumors are a public health problem that can be minimized if detection strategies are improved. …”
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A novel diagnostic and prognostic approach for unresponsive patients with anthroponotic cutaneous leishmaniasis using artificial neural networks. by Mehdi Bamorovat, Iraj Sharifi, Esmat Rashedi, Alireza Shafiian, Fatemeh Sharifi, Ahmad Khosravi, Amirhossein Tahmouresi

“…The results showed that the major feature affecting the responsiveness to treatments is the duration of the lesion. …”
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Breast cancer classification based on hybrid CNN with LSTM model by Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, Yasser Fouad

“…Abstract Breast cancer (BC) is a global problem, largely due to a shortage of knowledge and early detection. …”
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Morphological characterization of Mycobacterium tuberculosis in a MODS culture for an automatic diagnostics through pattern recognition. by Alicia Alva, Fredy Aquino, Robert H Gilman, Carlos Olivares, David Requena, Andrés H Gutiérrez, Luz Caviedes, Jorge Coronel, Sandra Larson, Patricia Sheen, David A J Moore, Mirko Zimic

“…Lack of adequate early diagnostics and MDR detection is a critical problem in control efforts. …”
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Text classification by CEFR levels using machine learning methods and BERT language model by Nadezhda S. Lagutina, Ksenia V. Lagutina, Anastasya M. Brederman, Natalia N. Kasatkina

“…Determining the level of text in natural language is an important component of assessing students knowledge, including checking open tasks in e-learning systems. To solve this problem, vector text models were considered based on stylometric numerical features of the character, word, sentence structure levels. …”
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Segmentation and particle size analysis of coal particles based on ISUNet by Deqiang CHENG, Rui ZHANG, Tongxi XIE, Jingjing LIU, Lijuan ZHENG, Qiqi KOU, He JIANG

“…The compressed excitation atrous spatial pyramid pooling module enhances channel information and global context information of features at different scales, solving the problem of over-segmentation of coal particles. …”
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DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation by Haiyan Liu, Yu Zeng, Hao Li, Fuxin Wang, Jianjun Chang, Huaping Guo, Jian Zhang

“…Additionally, the authors incorporate a self‐attention mechanism to capture global semantic information of high‐level features to guide the extraction and processing of low‐level features, thereby enhancing the model's understanding of the overall structure while maintaining details. …”
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Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…Graph-segmented images retrieve relevant features. Using recursive feature removal, breast cancer photographs are categorized. …”
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Numerical Simulation Data-Aided Domain-Adaptive Generalization Method for Fault Diagnosis by Tao Yan, Jianchun Guo, Yuan Zhou, Lixia Zhu, Bo Fang, Jiawei Xiang

“…To address this issue, effectively extracting fault features in the source domain and generalizing them to unseen target tasks becomes a viable strategy in machinery fault detection. …”
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AppAuth: Authorship Attribution for Android App Clones by Guoai Xu, Chengpeng Zhang, Bowen Sun, Xinyu Yang, Yanhui Guo, Chengze Li, Haoyu Wang

“…Our work is the first one that tackles the problem systematically and we believe our efforts could positively contribute to the research community and boost the research of app repacking detection and authorship attribution studies.…”
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MYOSITIS ASSOCIATED WITH MALIGNANT TUMORS by O. A. Antelava, A. N. Khelkovskaya-Sergeeva, N. V. Chichasova, S. G. Radenska-Lopovok, S. I. Glukhova

“…The investigations published identify demographic, clinical, and laboratory factors increasing MN detection risks in patients with PM/DM. Just the same, they all cover small patient groups; the findings are heterogeneous and not well convincing, which calls for a further larger-scale study of this problem.Objective: to reveal and identify the specific features of paraneoplastic myositis (PnM).Subjects and methods. …”
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SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification by B. Madhavi, Mohan Mahanty, Chia-Chen Lin, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

“…These limitations generate various challenges in effectively capturing and representing the nuanced features of visually similar objects. To address this problem, we proposed the stacking of an enhanced Swin Transformer, improved ConvNeXt, and a spatial attention mechanism. …”
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Digital-analog quantum convolutional neural networks for image classification by Anton Simen, Carlos Flores-Garrigos, Narendra N. Hegade, Iraitz Montalban, Yolanda Vives-Gilabert, Eric Michon, Qi Zhang, Enrique Solano, José D. Martín-Guerrero

“…We propose digital-analog quantum kernels for enhancing the detection of complex features in the classification of images. …”
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Enhancing natural disaster image classification: an ensemble learning approach with inception and CNN models by Kashvi Ankitbhai Sheth, Rujuta Prajakt Kulkarni, G. K. Revathi

“…The core problem of this research is the rapid and accurate classification of natural disasters, which is essential for effective response and mitigation strategies. …”
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THE MAIN ASPECTS OF DIAGNOSIS AND PREVENTION OF OPISTHORCHIASIS by Татьяна Евгеньевна Помыткина, Ольга Ивановна Пивовар

“…The aim of the research – to identify the features of clinical manifestations and laboratory diagnostics of chronic opisthorchiasis in adults and children. …”
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RECURRENT OVARIAN GRANULOSA CELL TUMORS: DIAGNOSIS AND TREATMENT by A. M. Beishembayev, V. A. Khailenko, N. V. Lyubimova, Yu. G. Payanidi, O. A. Anurova, O. N. Streltsova, K. I. Zhordania

“…The low incidence of OGCT and the specific features of their clinical course highly hamper the study of the mechanisms of development of recurrences and the possibilities of timely detection of disease progression and the determination of their optimal treatment policy. …”
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Robotic Mapping and Localization with Real-Time Dense Stereo on Reconfigurable Hardware by John Kalomiros, John Lygouras

“…A reconfigurable architecture for dense stereo is presented as an observation framework for a real-time implementation of the simultaneous localization and mapping problem in robotics. The reconfigurable sensor detects point features from stereo image pairs to use at the measurement update stage of the procedure. …”
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