Biosensors for Micro- and Nanoplastics Detection: A Review by Maria Daoutakou, Spyridon Kintzios

“…Microplastics (MPs) and nanoplastics (NPs), which are widespread in many habitats as the byproducts of various industrial processes, pose considerable environmental and health hazards. …”
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METHODS FOR EARLY DETECTION OF LUNG CANCER (REVIEW) by E. O. Rodionov, S. A. Tuzikov, S. V. Miller, D. E. Kulbakin, V. I. Chernov

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Methods for detection of crises in the economy in the early stages by V. A. Ivaniuk, N. M. Abdikeev

“…The relevance and importance of the work justifies increasing frequency, as global economic crises and crises of assets, and in opportunities of a statistically sound forecasting of development of crisis processes in the securities market. The object of the study was the crisis situation of the individual assets, as well as methods of detecting the crisis at an early stage.…”
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DETERMINATION OF PRIMERS EFFICIENCY IN THE DETECTION OF PEDIOCOCCUS IN WINES by Alexandra Buga, Irina Mitina, Valentin Mitin, Silvia Rubtov, Dan Zgardan

“…Pediococcus spp. are lactic acid bacteria which are considered spoilage in the wine making processes. Early detection can minimize the negative effects of Pediococcus spp on wine quality and prevent the development of advanced spoilage stages. …”
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Effective method of prompt detection of radiolocation target by A. D. Lobanov, A. I. Schemelev

“…The article reviews radar operation mode where the absence of radar targets at the direction of probing pulse emission is determined in one period of pulse with high probability of PCDF (correct detection failure). Operation of the digital receiving device is based upon a nonparametric detector that provides statistical processing of input mix of noise and regular signal, if the latter is available. …”
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A Semiparametric Model for Hyperspectral Anomaly Detection by Dalton Rosario

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Orange Leaves Images Dataset for the Detection of Huanglongbing by Juan Carlos Torres-Galván, Paul Hernández Herrera, Juan Antonio Obispo, Xocoyotzin Guadalupe Ávila Cruz, Liliana Montserrat Camacho Ibarra, Paula Magaldi Morales Orosco, Alfonso Alba, Edgar R. Arce-Santana, Valdemar Arce-Guevara, J. S. Murguía, Edgar Guevara, Miguel G. Ramírez-Elías

“…The use of ML and DL for image classification in plant disease has generated significant interest due to their cost, automatization, scalability, and early detection. However, high-quality image datasets are required to train robust classifier models for plant disease detection. …”
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Automated Earthwork Detection Using Topological Persistence by Dana A. Lapides, Gillian Grindstaff, Mary H. Nichols

“…These tools are either labor‐intensive or require special pre‐processing or a priori assumptions about structures that limit generalizability. …”
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OCT angiography in detecting preclinical diabetic retinopathy by A. N. Stulova, N. S. Semenova, A. V. Zheleznyakova, V. S. Akopyan, D. V. Lipatov

“…Many studies evaluate vessel density in superficial and deep plexuses in these patients using different methods of image processing and different qualitative and quantitative parameters. …”
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Sensor-Based Detection of Characteristics of Rubber Springs by Leopold Hrabovský, Jan Blata, Ladislav Kovář, Michal Kolesár, Jaromír Štěpáník

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Automatic Detection of Defects Using Active Thermography by Miguel Gómez, David Castro

“…Finally, an automated method based on the Signal-to-Noise Ratio (SNR) value is implemented for defect detection, with which defects of a 5 mm diameter and a 3 mm depth can be detected. …”
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Cross-Modality Object Detection Based on DETR by Xinyi Huang, Guochun Ma

“…Cross-modality can integrate complementary information from different modalities to improve the reliability and robustness of object detection effectively. However, compared to processing uni-modality inputs, cross-modality may significantly increase the computational complexity of the model, which will lead to huge memory consumption. …”
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General Framework for Domain-Specialization of Stance Detection by Brodie Mather, Bonnie J Dorr, Owen Rambow, Tomek Strzalkowski

“…The notions purpose and function serve as natural constraints on the choice of belief categories during resource building which, in turn, constrains stance detection. We demonstrate that linguistic constraints (e.g., light verb processing) further refine the choice of predicate-argument pairings for belief and sentiment assignments, yielding significant increases in F1 score for stance detection over a strong baseline.…”
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Voice Detection Using Convolutional Neural Network by U. A. Vishniakou, B. H. Shaya

“…Thus, the system is able to detect the sound of a voice in a crowded public place, and there is no need for a sound separation phase for pre-processing, as other modern systems require. …”
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Lightweight Vehicle Detection Based on Mamba_ViT by Ze Song, Yuhai Wang, Shuobo Xu, Peng Wang, Lele Liu

“…Vehicle detection algorithms are essential for intelligent traffic management and autonomous driving systems. …”
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An Efficient Anomalous Sound Detection System for Microcontrollers by Yi-Cheng Lo, Tsung-Lin Tsai, Chieh-Wen Yang, An-Yeu Wu

“…Anomalous Sound Detection (ASD) systems are pivotal in the Industrial Internet of Things (IIoT). …”
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Detection of microfibres in wastewater sludge with deep learning by Félix Martí-Pérez, Ana Domínguez-Rodríquez, Carlos Monserrat, Cèsar Ferri, María-José Luján-Facundo, Eva Ferrer-Polonio, Amparo Bes-Piá, José-Antonio Mendoza-Roca

“…In particular, wastewater treatment plants are among the primary contributors to the release of MFi into ecosystems, making it crucial to detect and quantify these pollutants, mainly in sewage sludge. …”
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Video Anomaly Detection Methods: a Survey by WU Peichen, YUAN Lining, GUO Fang, LIU Zhao

“…Video abnormal behavior detection is a hot research topic in computer vision. …”
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Multimodal Ultrasonic Imaging for Breast Cancer Detection by Jorge CAMACHO, Luis MEDINA, Jorge F. CRUZA, Jose M. MORENO, Carlos FRITSCH

“…Such an arrangement is well suited for multi-modal imaging that includes reflectivity, compounded, tomography, and phase coherence images for increased specificity in breast cancer detection. Preliminary work carried out with a mechanical emulation of the ring array and a standard breast phantom shows a high resolution and contrast, with an artifact-free capability provided by phase coherence processing.…”
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Tuberculosis detection using few shot learning by Kamran Riasat, Akhtar Jamil, Shaha Al-Otaibi, Sania Zeb, Saima Riasat, Shamsa Kanwal

“…Moreover, TB-FSNet is designed for seamless integration into embedded devices, making it suitable for deployment on edge devises. The model processes Chest X-ray images in real-time, providing immediate confidence scores for disease detection. …”
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