Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection by Jae Won Seo, Young Jae Kim, Kwang Gi Kim

“…These findings demonstrate PMVnet’s effectiveness in reducing false positives and avoiding missed true positives, suggesting its potential as a practical tool in computer-aided diagnosis systems. …”
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A DDoS Attack Detection Method Based on Hybrid Heterogeneous Multiclassifier Ensemble Learning by Bin Jia, Xiaohong Huang, Rujun Liu, Yan Ma

“…The explosive growth of network traffic and its multitype on Internet have brought new and severe challenges to DDoS attack detection. To get the higher True Negative Rate (TNR), accuracy, and precision and to guarantee the robustness, stability, and universality of detection system, in this paper, we propose a DDoS attack detection method based on hybrid heterogeneous multiclassifier ensemble learning and design a heuristic detection algorithm based on Singular Value Decomposition (SVD) to construct our detection system. …”
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The use of drones and Artificial Intelligence for dugong sighting detection in a limited resource scenario by Ario Digdo Akbar, Astari Elisabeth, Riskyta Arinda Bella, Cahyono Topan

“…Out of 153 AI detections, only 27 (17.6%) were True Positives. Therefore, more flights are needed to enhance the sample size for machine learning.…”
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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

“…Keywords: computer-aided diagnosis, deep learning, object detection, RetinaNet, transfer learning…”
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DIAGNOSTIC ACCURACY OF CONTRAST–ENHANCED HIGHRESOLUTION MAGNETIC RESONANCE IMAGING (MRI) FORTHE DETECTION OF RETINOBLASTOMA by Muhammad Faisal

“… Objective To determine the diagnostic accuracy of contrast–enhanced high resolution magnetic resonance imaging (MRI) in the detection of retinoblastoma taking histopathology as the gold standard. …”
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Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans by Ayman El-Baz, Ahmed Elnakib, Mohamed Abou El-Ghar, Georgy Gimel'farb, Robert Falk, Aly Farag

“…Automatic detection of lung nodules is an important problem in computer analysis of chest radiographs. …”
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Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP. by Sajid Mehmood, Rashid Amin, Jamal Mustafa, Mudassar Hussain, Faisal S Alsubaei, Muhammad D Zakaria

“…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. These models have got a complex optimizer installed on them to decrease the false positive or DDoS case detection efficiency. …”
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Challenges in detecting wind turbine power loss: the effects of blade erosion, turbulence, and time averaging by T. H. Malik, C. Bak

“…Moreover, the interaction between TI levels and longer time-averaging periods, which vary with wind speed, can obscure the true magnitude of LEE's impact on short-term power fluctuations. …”
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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…Results showed that the PRNN model, trained on time-series data, achieved an overall accuracy of 84.8 % and a true positive rate of 80.4 % in detecting broomrape infection, emphasizing the strength of utilizing temporal data for enhancing detection accuracies. …”
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Comparison of ZnS(Ag) Scintillator and Proportional Counter Tube for Alpha Detection in Thin-Layer Chromatography by Marc Pretze, Jan Wendrich, Holger Hartmann, Robert Freudenberg, Ralph A. Bundschuh, Jörg Kotzerke, Enrico Michler

“…That is, if the TLC probe was taken 24 h after radiosynthesis, the true value of the RCP was not measured until 5 h after TLC development. …”
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Multi-cancer early detection tests for general population screening: a systematic literature review by Ros Wade, Sarah Nevitt, Yiwen Liu, Melissa Harden, Claire Khouja, Gary Raine, Rachel Churchill, Sofia Dias

“…Blood-based multi-cancer early detection tests aim to detect potential cancer signals from multiple cancers in the blood. …”
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Is Optical Coherence Tomography a Useful Tool to Objectively Detect Actual Posterior Vitreous Adhesion Status? by Thomas Bertelmann, Christina Goos, Walter Sekundo, Stephan Schulze, Stefan Mennel

“…Purpose. To objectively detect true posterior vitreous cortex (PVC) adhesion status using a commercially available swept-source OCT device (DRI OCT-1, Atlantis©). …”
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New Robust Part-Based Model with Affine Transformations for Facial Landmark Localization and Detection in Big Data by Chentao Zhang, Habte Tadesse Likassa, Peidong Liang, Jielong Guo

“…Simulations show that the proposed method outperforms the state-of-the-art works on facial landmark localization and detection on the COFW, HELEN, and LFPW datasets.…”
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Transferability Evaluation in Wi-Fi Intrusion Detection Systems Through Machine Learning and Deep Learning Approaches by Saud Yonbawi, Adil Afzal, Muhammad Yasir, Muhammad Rizwan, Natalia Kryvinska

“…Intrusion Detection System (IDS) plays a pivotal role in safeguarding network security. …”
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Network Intrusion Detection and Prevention System Using Hybrid Machine Learning with Supervised Ensemble Stacking Model by Godfrey A. Mills, Daniel K. Acquah, Robert A. Sowah

“…The results of the tests revealed a detection accuracy of 99.84% of the instances in the NLS-KDD dataset with a true positive rate of 99.8% and a false positive rate of 0.10% while a detection accuracy of 99.90% was achieved with the CIC-DDoS2019 dataset. …”
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The diagnostic accuracy of circulating free DNA for the detection of KRAS mutation status in colorectal cancer: A meta‐analysis by Wenli Xie, Li Xie, Xianrang Song

“…However, limitations of detecting KRAS mutations in tissues are obvious. KRAS mutations in the peripheral blood can be detected as an alternative to tissue analysis. …”
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A new method for detecting mixed Mycobacterium tuberculosis infection and reconstructing constituent strains provides insights into transmission by Benjamin Sobkowiak, Patrick Cudahy, Melanie H. Chitwood, Taane G. Clark, Caroline Colijn, Louis Grandjean, Katharine S. Walter, Valeriu Crudu, Ted Cohen

“…Here, we present MixInfect2, a new tool to accurately detect mixed samples from Mycobacterium tuberculosis short-read WGS data. …”
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The "Low Slow and Small" UAV target detection and tracking algorithm based on improved YOLOv7 and DeepSort by JIAN Yuhong, YANG Huiyue, WANG Xinggang, RONG Yisheng, ZHU Yukun

“…To improve the accuracy of Low altitude unmanned aerial vehicle(UAV) target detection and tracking, an improved UAV detection algorithm based on YOLOv7 and DeepSort framework is proposed. …”
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Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle by Mei Xiao, Ying Zhang, Haiming Wang, Lei Zhang

“…The influence of the algorithm parameters on detection precision is also analyzed.…”
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The Efficiency of Operating Microscope Compared with Unaided Visual Examination, Conventional and Digital Intraoral Radiography for Proximal Caries Detection by Ilkay Peker, Meryem Toraman Alkurt, Oya Bala, Bulent Altunkaynak

“…The teeth were examined with unaided visual examination, operating microscope, conventional bitewing and digital intraoral radiographs. Then, true caries depth was determined by histological examination. …”
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