Vegetable-associated Vibrio strains harbor resistance and virulence genes detected by PCR by Babayemi Olawale Oladejo, Michael Tosin Bayode, Tolulope Christianah Oladejo, Zainab Opeyemi Olumuyiwa, Foluke Dorcas Olutoki

“…Notably, the dihydrofolate reductase gene (tmp) was detected in Vibrio parahaemolyticus, and the dfrA5 gene was detected solely in V. cholerae. …”
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Boron-containing radiator coatings of ionization chambers of neutron flux detection sensors by Petr B. Baskov, Boris S. Salamakha, Yakov V. Glazyuk, Artur A. Namakshinas, Sergey A. Bondarenko, Ilya M. Mushin, Alexander S. Khudin

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Lightweight machine learning framework for efficient DDoS attack detection in IoT networks by Mamoona Nawaz, Shireen Tahira, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…Reduced features were selected to enhance performance and reduce processing cost. Three supervised learning models, Random Forest, Logistic Regression, and Naïve Bayes, were implemented and evaluated based on their detection accuracy, precision, recall, and F1-score. …”
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Non-Destructive Detection of Soybean Storage Quality Using Hyperspectral Imaging Technology by Yurong Zhang, Wenliang Wu, Xianqing Zhou, Jun-Hu Cheng

“…(1) Background: Soybean storage quality is crucial for subsequent processing and consumption, making it essential to explore an objective, rapid, and non-destructive technology for assessing its quality. (2) Methods: crude fatty acid value is an important indicator for evaluating the storage quality of soybeans. …”
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Damage Scene Change Detection Based on Infrared Polarization Imaging and Fast-PCANet by Min Yang, Jie Yang, Hongxia Mao, Chong Zheng

“…Change detection based on optical image processing plays a crucial role in the field of damage assessment. …”
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Advanced Multi-Scale CNN-BiLSTM for Robust Photovoltaic Fault Detection by Xiaojuan Zhang, Bo Jing, Xiaoxuan Jiao, Ruixu Yao

“…The increasing deployment of photovoltaic (PV) systems necessitates robust fault detection mechanisms to ensure operational reliability and safety. …”
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Comprehensive Evidence That Detecting Urban Signals in Large‐Scale Warming Is Highly Uncertain by Pengke Shen, Shuqing Zhao, Zhiyu Xu, Xueqin Zhang, Bo Lu, Zhenyu Han, Menglin Si, Jiashuang Yuan, Lianchun Song, Shuguang Liu

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Detection of funerary monuments in the northern necropolis of Segobriga using multispectral and georadar imaging by Rosario Cebrián, Ignacio Hortelano, Irene Ortiz, Javier Vallés

“…This paper analyses the methodology and processing of the two techniques used. It also evaluates their comparative applicability to detect buried remains in calcareous soils. …”
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Electricity-free amplification and detection for molecular point-of-care diagnosis of HIV-1. by Jered Singleton, Jennifer L Osborn, Lorraine Lillis, Kenneth Hawkins, Dylan Guelig, Will Price, Rachel Johns, Kelly Ebels, David Boyle, Bernhard Weigl, Paul LaBarre

“…We also pair the heater with nucleic acid lateral flow (NALF)-detection for a visual readout. To further illustrate the utility of the electricity-free heater and NALF-detection platform, we demonstrate sensitive and repeatable detection of HIV-1 with a ß-actin positive internal amplification control from processed sample to result in less than 80 minutes. …”
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Leveraging SARs and Advanced Deep Learning Techniques for Oil Spill Detection in UAE by M. Alkhalifa, A. Alowais, A. Manousakis, A. Manousakis

“…To create the dataset, we utilized Sentinel-1 Synthetic Aperture Radar (SAR) images that were pre-processed using SNAP for training and SNAPPY in Python for testing. …”
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A Generalized and Robust Nonlinear Approach based on Machine Learning for Intrusion Detection by Jakiur Rahman, Jaskaran Singh, Soumen Nayak, Biswajit Jena, Lopamudra Mohanty, Narpinder Singh, John R. Laird, Rajesh Singh, Deepak Garg, Narendra N. Khanna, Mostafa M. Fouda, Luca Saba, Jasjit S. Suri

“…Intrusion detection systems (IDS) play a critical role in ensuring the security and integrity of computer networks. …”
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A Study of Real-time Detection Methods for Solar Radio Burst Identification by YongLin Yu, ChengLong Qiao, Shuo Xu, QinZheng Li, YanRui Su, HongQiang Song, FaBao Yan

“…Spectrum analysis conducted manually or with traditional image processing algorithms is limited by low efficiency and accuracy. …”
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Salivary extracellular vesicles isolation methods impact the robustness of downstream biomarkers detection by Jérémy Boulestreau, Laurence Molina, Alimata Ouedraogo, Louën Laramy, Ines Grich, Thi Nhu Ngoc Van, Franck Molina, Malik Kahli

“…Abstract Extracellular vesicles (EVs), crucial mediators in cell-to-cell communication, are implicated in both homeostatic and pathological processes. Their detectability in easily accessible peripheral fluids like saliva positions them as promising candidates for non-invasive biomarker discovery. …”
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Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

“…Cell tracking and motility analysis are essential for understanding multicellular processes, automated quantification in biomedical experiments, and medical diagnosis and treatment. …”
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Automatic Sugarcane Disease Detection and Outbreak Alert System using Deep Learning by Munaf Rashid, Zuha Khan, Saeed Usmani, Asadullah Maliyawala, Kashif Iqbal

“…It employs a multi-stage architecture, including convolutional neural networks and advanced image processing, to analyze field images captured by mobile devices. …”
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Circulating miRNAs in genitourinary cancer: pioneering advances in early detection and diagnosis by Annunziata Gaetana Cicatiello, Michele Musone, Silvestro Imperatore, Carlo Giulioni, Roberto La Rocca, Angelo Cafarelli, Francesco Del Giudice, Monica Dentice, Felice Crocetto

“…Indeed, they regulate key processes for the proper functioning of the organism and affect the course of human pathologies. …”
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Toward Automatic Detection of Pi2 Magnetic Pulsation Using Machine Learning by Mohamed S. Abdalzaher, Essam Ghamry, Khairul Adib Yusof, Mostafa Shaaban

“…Nowadays, it is well known that Pi2 occurs at the onset of geomagnetic substorms, is considered an outstanding research topic in space physics, and is a link between ionospheric and magnetospheric processes. The discontinuation of the conventional index previously employed to detect Pi2 pulsations has driven this study to propose an innovative detection method leveraging machine learning (ML). …”
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Automated Detection of Young Eucalyptus Plants for Optimized Irrigation Management in Forest Plantations by Jhonata S. Santana, Domingos S. M. Valente, Daniel M. Queiroz, Andre L. F. Coelho, Igor A. Barbosa, Abdul Momin

“…This project aimed to develop an automatic system for eucalyptus plant detection to facilitate effective irrigation management. …”
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Advancing plant leaf disease detection integrating machine learning and deep learning by R. Sujatha, Sushil Krishnan, Jyotir Moy Chatterjee, Amir H. Gandomi

“…This research uses artificial intelligence (AI) to propose an automated solution that improves plant disease detection accuracy to overcome the difficulty of the conventional methods. …”
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A Low-Latency Dynamic Object Detection Algorithm Fusing Depth and Events by Duowen Chen, Liqi Zhou, Chi Guo

“…Following this preprocessing stage, the transformed event data were converted into an event queue representation, upon which denoising operations were performed. Ultimately, object detection was achieved through the application of image moment analysis to the processed event queue representation. …”
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