Microblog Sentiment Orientation Detection Using User Interactive Relationship by Liang Wang, Mei Wang, Xinying Guo, Xuebin Qin

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Advances in Photoacoustic Endoscopic Imaging Technology for Prostate Cancer Detection by Ningning Wei, Huiting Chen, Bin Li, Xiaojun Dong, Bo Wang

“…This paper delivers a thorough review of current prostate cancer screening techniques, the core principles of photoacoustic endoscopy imaging, and the latest research on its use in detecting prostate cancer. Additionally, the limitations of this technology in prostate cancer detection are discussed, and future development trends are anticipated.…”
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Automatic Real-Time Detection and Diagnosis of Liver Tumor with Ultrasound by Wu CH, Sheu JC, Chou PL, Lee J, Nien HC

“…However, the diagnostic performance of ultrasound is highly operator dependent. We aimed to develop deep learning (DL) models to automatically diagnose and detect hepatic lesions in a larger dataset, with HCC as the dominant malignancy.Methods: We enrolled patients diagnosed with hepatic tumors using abdominal ultrasound between January 2002 and December 2020 in a retrospective cohort with a diagnosis of malignant and benign lesions. …”
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Some conceptual aspect of overcoming anti-detection and investigation of crimes by G.V. Burganova, R.R. Rahmatullin

“…Indisputable is the assertion that forensic science plays the main role in shaping the conceptual framework for overcoming counteraction to the detection and investigation of crimes (judicial investigation). …”
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Pavement crack detection based on depth-supervision FRRN model by Lei Wang, Qiangqiang Feng, Jiao Yan

“…Timely detection of early pavement distress is crucial for effective pavement maintenance. …”
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An attack detection method based on deep learning for internet of things by Yihan Yu, Yu Fu, Taotao Liu, Kun Wang, Yishuai An

“…Additionally, feature redundancy and class imbalance in IoT traffic datasets also constrain detection performance. To address these issues, this paper proposes an attack detection method based on deep learning for IoT. …”
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SPECT/CT IN DETECTION OF BONE METASTASES IN BREAST AND PROSTATE CANCERS by E. A. Glushkov, A. G. Kislichko

“…The article discusses the use of SPECT/CT in detection of metastatic involvement of the skeleton. …”
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Target Detection Label Assignment Method Based on Global Information by ZHANG Pei-pei, LU Zhen-yu

“…With the development of deep learning framework, new object detection algorithms have also been proposed, such as first-stage and two-stage detection models, which have improved the detection speed and solved the problem of object detection at different scales, but they have not yet been well solved for overlapping, occlusion and other issues. …”
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Dysarthria Severity detection Using Recurrent and Convolutional Neural Networks by Amina Hamza, Djamel Addou

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A survey of streaming data anomaly detection in network security by Pengju Zhou

“…Cybersecurity has always been a subject of great concern, and anomaly detection has gained increasing attention due to its ability to detect novel attacks. …”
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Multimodal Fusion Anomaly Detection Model for Agricultural Wireless Sensors by Zhenggui Zhou

“…The existence of anomalous data leads to the deterioration of the agricultural data quality, which hinders the efficient development of agricultural data analysis. In order to detect anomalous data accurately for agricultural wireless sensors, in this article, we propose an anomaly detection model that combines multimodal fusion and error reconstruction. …”
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Design and Construct a Forest Fire Detection and Control System. by Ampumuza, Mary Viola

“…The constructed system demonstrates accurate detection and rapid response capabilities. This project contributes to the development of innovative forest fire management solutions, enhancing environmental protection and public safety…”
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Profiling antivaccination channels in Telegram: early efforts in detecting misinformation by Aelita Skarzauskiene, Monika Maciuliene, Aiste Dirzyte, Gintare Guleviciute

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A molecular assay for sensitive detection of pathogen-specific T-cells. by Victoria O Kasprowicz, Jessica E Mitchell, Shivan Chetty, Pamla Govender, Kuan-Hsiang Gary Huang, Helen A Fletcher, Daniel P Webster, Sebastian Brown, Anne Kasmar, Kerry Millington, Cheryl L Day, Nompumelelo Mkhwanazi, Cheryl McClurg, Fundisiwe Chonco, Ajit Lalvani, Bruce D Walker, Thumbi Ndung'u, Paul Klenerman

“…We developed and validated the assay and applied it to the detection of CMV, HIV and Mycobacterium tuberculosis (MTB) specific responses, in a cohort of HIV co-infected patients. …”
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Semi-supervised permutation invariant particle-level anomaly detection by Gabriel Matos, Elena Busch, Ki Ryeong Park, Julia Gonski

“…Abstract The development of analysis methods to distinguish potential beyond the Standard Model phenomena in a model-agnostic way can significantly enhance the discovery reach in collider experiments. …”
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Application of Non-Destructive Technology in Plant Disease Detection: Review by Yanping Wang, Jun Sun, Zhaoqi Wu, Yilin Jia, Chunxia Dai

“…In the future, integrating multiple non-destructive detection technologies, developing portable detection devices, and combining more efficient data processing methods will become the core development directions of this field.…”
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Modified Screen-Printed Microchip for Potentiometric Detection of Terbinafine Drugs by Menna El-Beshlawy, Hassan Arida

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Graphene Quantum Dots for Glioblastoma Treatment and Detection–Systematic Review by Kacper Kregielewski, Wiktoria Fraczek, Marta Grodzik

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Technologies for detecting biological risk factors in agricultural products and their applications by Yunfang Liu, Kaifa Liu, Yahui Liu

“…Accordingly, rapid and accurate detection of biological risks and effective risk monitoring are urgently required to ensure food safety and effective epidemic control. …”
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Application of machine learning methods for automated detection of network intrusions by M. V. Babicheva, I. A. Tretyakov

“…Objective. Development of automated network attack detection systems capable of adapting to the ever-changing nature of network attacks and new types of threats. …”
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