Cancer Detection Rates of Systematic and Targeted Prostate Biopsies after Biparametric MRI by Maudy C. W. Gayet, Anouk A. M. A. van der Aa, Harrie P. Beerlage, Bart Ph Schrier, Maaike Gielens, Roel Heesakkers, Gerrit J. Jager, Peter F. A. Mulders, Hessel Wijkstra

“…Prostate cancer (PCa) was detected in 54.9% with 70.7% agreement between TB and SB. …”
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Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50 by Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf

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Advanced Pedestrian Distance Estimation for ADAS with Canny Edge Detection and Stereo Vision by Rachidi Oumayma, Ed-Dahmani Chafik, Bououlid Idrissi Badr

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Research on intrusion detection method for edge networks based on federated reinforcement learning by DING Kai, HUANG Yidu, TAO Ming, XIE Renping

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Signals of propaganda-Detecting and estimating political influences in information spread in social networks. by Alon Sela, Omer Neter, Václav Lohr, Petr Cihelka, Fan Wang, Moti Zwilling, John Phillip Sabou, Miloš Ulman

“…While computational propaganda influences modern society, it is hard to measure or detect it. Furthermore, with the recent exponential growth in large language models (L.L.M), and the growing concerns about information overload, which makes the alternative truth spheres more noisy than ever before, the complexity and magnitude of computational propaganda is also expected to increase, making their detection even harder. …”
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Data Imputation for Detected Traffic Volume of Freeway Using Regression of Multilayer Perceptron by Xiang Wang, Yingying Ma, Shengwen Huang, Yu Xu

“…Also, 32 groups of simulated imputation experiments based on the detected traffic volume of road sections in the Guangdong freeway system are conducted, which take the scenarios of continuous missing and jumped missing into account. …”
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Mycotoxins Detection and Fungal Contamination in Black and Green Tea by HPLC-Based Method by K. Pakshir, Z. Mirshekari, H. Nouraei, Z. Zareshahrabadi, K. Zomorodian, H. Khodadadi, A. Hadaegh

“…All of the samples were contaminated with OTA where only 3 black tea samples (6.6%) and 1 green tea sample (6.7%) were detected to have more than the standard limits of toxin (10 μg·kg−1). …”
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Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT by Mateusz Koziński, Doruk Oner, Jakub Gwizdała, Catherine Beigelman-Aubry, Pascal Fua, Angela Koutsokera, Alessio Casutt, Argyro Vraka, Michele De Palma, John-David Aubert, Horst Bischof, Christophe von Garnier, Sahand Jamal Rahi, Martin Urschler, Nahal Mansouri

“…Deep neural networks (DNNs) have not previously been used for BOS detection. This study aims to train a DNN to detect BOS in CT scans using an approach tailored for low-data scenarios. …”
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Machine learning and facial recognition for down syndrome detection: A comprehensive review by Khosro Rezaee

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Damage Detection of a Continuous Bridge from Response of a Moving Vehicle by Z. H. Li, F. T. K. Au

“…The multistage damage detection method is implemented by the modal strain energy based method and genetic algorithm. …”
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Performance evaluation of perceptible impulsive noise detection methods based on auditory models by Arda Özdoğru, František Rund, Karel Fliegel

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Detection of T91 Steel Corrosion with a Fe3+-Enhanced Fluorescence Probe by Tie Feng Xia, Li Zhang, Da Quan Zhang, Li Xin Gao

“…Early attack on T91 steel was detected using fluorescence microscopy. This nondestructive method of initial corrosion detection can be used during maintenance before serious damage happens.…”
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Targeted detection of endogenous LINE-1 proteins and ORF2p interactions by Mathias I. Nielsen, Justina C. Wolters, Omar G. Rosas Bringas, Hua Jiang, Luciano H. Di Stefano, Mehrnoosh Oghbaie, Samira Hozeifi, Mats J. Nitert, Alienke van Pijkeren, Marieke Smit, Lars ter Morsche, Apostolos Mourtzinos, Vikram Deshpande, Martin S. Taylor, Brian T. Chait, John LaCava

“…Yet, more sensitive detection methods would enhance the use of ORF1p as a clinical biomarker. …”
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Effect of eDNA metabarcoding temporal sampling strategies on detection of coastal biodiversity by Maelle Sevellec, Anaïs Lacoursière-Roussel, Eric Normandeau, Louis Bernatchez, Kimberly Lynn Howland

“…The study underscores the importance of understanding biological and physical factors altering eDNA detection to improve the efficiency of detecting and interpreting long-term eDNA changes.…”
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New and Advanced Methods in Detection of Fruit Juice Adulteration: Focusing on Nano-Biosensor by Samira Shokri, Mahya Soltani, Yeganeh Mazaheri, Alieh Rezagholizade-shirvan, Mansoureh Mohammadi, Nabi Shariatifar, Tayebeh Zeinali

“…Having knowledge of the types of fraud in fruit juices and their detection methods is essential for developing more efficient detection methods. …”
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Detecting Cross-Site Scripting in Web Applications Using Fuzzy Inference System by Bakare K. Ayeni, Junaidu B. Sahalu, Kolawole R. Adeyanju

“…Motivated by this problem, this paper describes an “intelligent” tool for detecting cross-site scripting flaws in web applications. …”
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Adequacy of the Fogging Test in the Detection of Clinically Significant Hyperopia in School-Aged Children by João Esteves Leandro, Jorge Meira, Carla Sofia Ferreira, Renato Santos-Silva, Paulo Freitas-Costa, Augusto Magalhães, Jorge Breda, Fernando Falcão-Reis

“…Results. For the detection of hyperopia ≥+2 D, the area under the ROC curve (AUC) was 0.955 (p≤0.001). …”
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IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data by Adnan Rahman Sayeem, Jannatul Ferdous Omi, Mehedi Hasan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty

“…Therefore, leveraging technology to automatically detect diseases on leaves plays an important role in farming. …”
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Few-Shot Graph Anomaly Detection via Dual-Level Knowledge Distillation by Xuan Li, Dejie Cheng, Luheng Zhang, Chengfang Zhang, Ziliang Feng

Subjects: “…anomaly detection…”
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Combined dynamic multi-feature and rule-based behavior for accurate malware detection by Mohamed Belaoued, Abdelaziz Boukellal, Mohamed Amir Koalal, Abdelouahid Derhab, Smaine Mazouzi, Farrukh Aslam Khan

“…Behavior-based malware detection techniques have shown to be effective at overcoming the weaknesses of the signature-based ones. …”
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