Efficient DDoS attack detection and prevention scheme based on SDN in cloud environment by Heng HE, Yan HU, Lianghan ZHENG, Zhengyuan XUE

“…For addressing the problem of two typical types of distributed denial of service (DDoS) attacks in cloud environment,a DDoS attack detection and prevention scheme called SDCC based on software defined network (SDN) architecture was proposed.SDCC used a combination of bandwidth detection and data flow detection,utilized confidence-based filtering (CBF) method to calculate the CBF score of packets,judged the packet of CBF score below the threshold as an attacking packet,added its attribute information to the attack flow feature library,and sent the flow table to intercept it through SDN controller.Simulation results show that SDCC can detect and prevent different types of DDoS attacks effectively,and it has high detection efficiency,reduces the controller’s computation overhead,and achieves a low false positive rate.…”
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Mathematical Validation of Proposed Machine Learning Classifier for Heterogeneous Traffic and Anomaly Detection by Azidine Guezzaz, Younes Asimi, Mourade Azrour, Ahmed Asimi

Subjects: “…anomaly detection…”
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The Detection of Small-Scale Open-Burning Agriculture Fires Through Remote Sensing by Eduardo R. Oliveira, Bárbara T. Silva, Diogo Lopes, Sofia Corticeiro, Fátima L. Alves, Leonardo Disperati, Carla Gama

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Development of the immunoenzyme test system for detection of antibodies against avian leukosis virus by S. P. Lazareva, M. A. Volkova, N. S. Mudrak, I. A. Chvala, T. V. Zhbanova

“…Test system based on the immunoenzyme method was developed for detection of antibodies to the avian leukosis virus (ALV) when testing sera in a single dilution. …”
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A CME Automatic Detection Method Based on Adaptive Background Learning Technology by Zhenping Qiang, Xianyong Bai, Qinghui Zhang, Hong Lin

“…In this paper, we describe a technique, which uses an adaptive background learning method to detect the CME (coronal mass ejections) automatically from SOHO/LASCO C2 image sequences. …”
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Development and validation of an analytical method for detecting chlorantraniliprole residues in fresh tea leaves by Tengfei Liu, Minghui Dong, Fengjie Zhou, Daifeng Yang, Xueming Zhang

“…Good linearity was observed for concentrations of 0.02–1.0 mg/kg with a correlation coefficient of 0.9984. The limits of detection and quantification were 0.005 mg/kg and 0.02 mg/kg, respectively. …”
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A scalable multi-modal learning fruit detection algorithm for dynamic environments by Liang Mao, Liang Mao, Zihao Guo, Mingzhe Liu, Yue Li, Linlin Wang, Jie Li

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The Role of Magnetic Resonance Enterography for Detection and Differentiation of Pediatric Inflammatory Bowel Diseases by Özge Yapıcı, Eda Almus

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Cybersecurity Attacks and Detection Methods in Web 3.0 Technology: A Review by Bandar Alotaibi

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Detection of Mycobacterium avium subspecies paratuberculosis in dairy cattle from Shahrekord, Iran by M. Rahmani Dehkordi, Z. Hemati, M. Ghorbanpour, R. Goethe, L. Abdolmohammadi Khiav

“…In IS900-PCR, MAP-DNA was detected in six individual milk (7.5%), one individual faecal (1.25%), two tank milk (10.5%) and two environmental faecal (10.5%) samples. …”

Two-step ranging based on energy detection for IR-UWB sensor networks by ZHANG Ting-ting1, ZHANG Qin-yu2, ZHANG Nai-tong1

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Face Detection Using Hybrid SNN-ANN to Process Neuromorphic Event Stream by Waseem Shariff, Paul Kielty, Joe Lemley, Peter Corcoran

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Bolt Loosening Detection Method Based on Improved YOLOv8 and Image Matching by Peihe Jiang, Yuhang Geng, Zhongqi Sang, Lifeng Lin

Subjects: “…Bolt loosening detection…”
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Tramway obstacles detection based on information fusion of MMV radar and machine vision by Guang-yao ZHAI, Rong CHEN, Jian-feng ZHANG, Ji-guang ZHANG, Cheng WU, Yi-ming WANG

“…A method of obstacle detection based on information fusion of millimeter wave radar and machine vision sensor was proposed.Firstly,the millimeter wave radar and camera calibration,image and radar realize spatiotemporal data synchronization,the target position was accurate projection detected by radar images,and then a method of generating radar target region of interest,and the image information using the frame difference method,image detection of moving objects,detection area was put forward.Finally,the radar detection area was compared with the machine vision detection area.The coincidence degree was calculated,and the target was divided into pedestrian or vehicle according to coincidence degree.The experimental results show that the method can detect the obstacle of millimeter wave radar and machine vision well,and make up for the shortage of single sensor in obstacle detection.…”
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YOLO-UNet Architecture for Detecting and Segmenting the Localized MRI Brain Tumor Image by Nur Iriawan, Anindya A. Pravitasari, Ulfa S. Nuraini, Nur I. Nirmalasari, Taufik Azmi, Muhammad Nasrudin, Adam F. Fandisyah, Kartika Fithriasari, Santi W. Purnami, null Irhamah, Widiana Ferriastuti

“…Brain tumor detection and segmentation are the main issues in biomedical engineering research fields, and it is always challenging due to its heterogeneous shape and location in MRI. …”
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Reinforced Cost-Sensitive Graph Network for Detecting Fraud Leaders in Telecom Fraud by Peiwen Gao, Zhihua Li, Dibin Zhou, Liang Zhang

Subjects: “…Fraud detection…”
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Detection Rate and Clinical Relevance of Ink Tattooing during Balloon-Assisted Enteroscopy by C. Römmele, A. Ebigbo, M. Schrempf, H. Messmann, S. K. Gölder

“…The tattoo could be detected via capsule endoscopy in 19 of these 26 patients. …”
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Philosophical Dogmas or Questions? A Defense of Philosophical Questioning as a Way of Life by Hélder Telo

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Comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning” by Ivan A. Bratchenko, Lyudmila A. Bratchenko

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National Defense as fiscal policy during the Mauricio Macri administration (2015-2019) by Sergio Gabriel Eissa

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