Detection of Pathogenic Microorganisms by Fusion of Recursive Feature Pyramid by HUANGZhitian, XIEYining, ZHAOJing, HEYongjun

“…Since the pathogenic microorganisms with small size will lose important features in the downsampling process , the recursive feature pyramid RFP is used in the feature fusion stage and the detection layer of the small target is added. …”
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An improved Harris corner detection method for honeycomb structures by Pengfei Zheng, Wilson Byiringiro, Weiwei Xie, Zhengkai Jiang, Can Cui, Yongjun Wu

“…Thus, various image processing techniques have been employed to evaluate the cell shape and detect structural defects within these structures. …”
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Journal Bearing Fault Detection Based on Daubechies Wavelet by Narendiranath Babu THAMBA, Himamshu H S, Prabin Kumar NAYAK, Rama Prabha D, Nishant CHILUAR

“…ANN was able to classify the faults with the classification rate of 85.7%. Thus, the test process for unseen vibration data of the trained ANN combined with ideal output target values indicates high success rate for utomated bearing fault detection.…”
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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm by Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

“…In Computer-Aided Detection (CAD) brain disease classification is a vital issue. …”
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Optical coherence tomography for early detection of crop infection by Ghada Salem Sasi, Stephen J. Matcher, Adrien Alexis Paul Chauvet

“…Early and reliable detection is thus key to improving yields, sustainability, and achieving food security. …”
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Use of deep learning in early software bug detection by Syed Mibran Hassan Zaidi, Maria Khan, Mustafa Latif, Ali Akhtar, Sallar Khan

“…In the software maintenance and development process, software bug identification is a significant challenge because this is connected with the successful software in its whole state. …”
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Deep learning-enhanced signal detection for communication systems. by Yang Liu, Peng Liu, Yu Shi, Xue Hao

“…Based on this, the study innovatively combines Multiple Input Multiple Output (MIMO) with orthogonal frequency division multiplexing technology to construct a data-driven detection system. The system adopts a Multi-DNN method with a dual-DNN cascade structure and mixed activation function design to optimize the channel estimation and signal detection coordination process of the MIMO part. …”
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Psychological Stress Detection Using Transformer-Based Models by Derwin Suhartono, Irfan Fahmi Saputra, Andhika Rizki Pratama, Gabriel Nathaniel

“…This process ensured the model’s effectiveness in the training and evaluation stages. …”
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Domain Adaptation for Satellite-Borne Multispectral Cloud Detection by Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin

“…The advent of satellite-borne machine learning hardware accelerators has enabled the onboard processing of payload data using machine learning techniques such as convolutional neural networks (CNNs). …”
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Laser weld spot detection based on YOLO-weld by Jianxin Feng, Jiahao Wang, Xinyu Zhao, Zhiguo Liu, Yuanming Ding

“…Abstract Laser weld point detection is crucial in modern industrial manufacturing, yet it faces challenges such as a limited number of samples, uneven distribution, and diverse, irregular shapes. …”
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AI-Powered Mobile App for Nuclear Cataract Detection by Alicja Anna Ignatowicz, Tomasz Marciniak, Elżbieta Marciniak

“…The proposed solution utilizes a multi-stage classification approach to analyze ocular images acquired with a slit lamp, sourced from the Nuclear Cataract Database for Biomedical and Machine Learning Applications. The process involves identifying pathological features and assessing the severity of the detected condition, enabling comprehensive characterization of the NC (nuclear cataract) of cataract progression based on the LOCS III scale classification. …”
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Spatial Shape-Aware Network for Elongated Target Detection by Shaowen Xu, Der-Horng Lee

“…In remote sensing detection, targets often exhibit unique characteristics such as elongated shapes, multi-directional rotations, and significant scale variations. …”
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Magnetic Induction Phase Difference for Cerebral Hemorrhage Detection by Jie Liu, Lian Yan, Huangsen Deng, Mingxin Qin, Mingsheng Chen

“…This sensor could accurately detect three stages in the pathological process. Blood loss of 1 mL meant that the compensatory mechanism of cerebrospinal fluid began to fail, and 1.4 mL of blood loss meant that the compensatory mechanism failed completely. …”
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AI-Based Ransomware Detection: A Comprehensive Review by Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi, Md Zahidul Islam

“…This review begins with an overview of AI and ransomware, and discusses various types of ransomware attacks, the process of an attack chain, and emerging trends. We then review the existing literature on the core components of AI-based ransomware detection models, including the datasets and challenges arising during data collection, data pre-processing, feature engineering techniques, model training, and performance evaluation for effective model training. …”
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Change probability-aware graph for multimodal change detection by Te Han, Yuqi Tang, Yuzeng Chen, Yuqiang Guo, Bin Zou, Huihui Feng

“…Multimodal change detection (MCD) has emerged as a pivotal technology for monitoring surface changes based on remote sensing images. …”
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Development, Prevention, and Detection of Pineapple Translucency: A Review by Chuanling Li, Mingwei Li, Miaolin Zhang, Linpan Chen, Qingsong Wu, Junjun He, Zhong Xue, Xiumei Zhang, Yanli Yao

“…The preventative and remedial measurements on the disease have yet to be effectively implemented in the production process. This review provides comprehensive information and the latest research progress on the possible pathogenesis, initiating factors, preventive and control practices, and detection techniques for pineapple translucency. …”
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L-ENet: An Ultralightweight SAR Image Detection Network by Yutong Wang, Min Miao, Shiliang Zhu

“…Furthermore, the trihead detection structure is revised to a dual-head structure omni-dimensional adaptive spatial feature fusion, using object detection convolution to allocate weights across different scales for efficient detection. …”
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Detection of flood trends and drivers in the Taihu Basin, China by Yu Xu, Yulu Zhang, Kaixin Liu, Yanjuan Wu, Chao Gao

“…To fully understand the phased process of the influence of human activities on extreme hydrological processes, 12 copula functions were employed creatively in combined static and dynamic time-varying correlation aspects between extreme precipitation and floods. …”
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Predictors of Shock‐Reduction Programming and Its Impact on Implantable Cardioverter‐Defibrillator Therapies and Mortality: The CERTITUDE Registry by Sebastian E. Beyer, Camden Harrell, Steven Mullane, Valentina Kutyifa, Malini Madhavan, Jonathan P. Piccini, Gaurav A. Upadhyay, James E. Ip, George Thomas, Christopher F. Liu, Steven M. Markowitz, David Hayes, Bruce B. Lerman, Jim W. Cheung

“…SRP was defined as programming to either a therapy rate cutoff ≥188 beats per minute or number of intervals to detection ≥30/40 for treatment. …”
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Fire Detection with Deep Learning: A Comprehensive Review by Rodrigo N. Vasconcelos, Washington J. S. Franca Rocha, Diego P. Costa, Soltan G. Duverger, Mariana M. M. de Santana, Elaine C. B. Cambui, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro

“…Wildfires are a critical driver of landscape transformation on Earth, representing a dynamic and ephemeral process that poses challenges for accurate early detection. …”
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