THERMAL IMAGES PRE-PROCESSING FOR EARLY DETECTION OF BREAST CANCER: A PROGRESSIVE REVIEW by Azman Brahim Llaguno Garcia, Arturo Orellana Garcia, Vivian Estrada Senti

Get full text

Južnoafričko oklopno vozilo - topovnjača na točkovima 'ROOIKAT', International defense review, 1989 by M.P.

Get full text

Sensitivity-enhancing feedback control–based damage detection in delaminated smart composite plates by Yan Guo, Yanan Jiang, Zhenghua Qian, Bin Huang

“…In this article, we present a sensitivity-enhancing feedback control–based damage detection method for piezoelectric actuator and sensor bonded composite laminates with delamination failures. …”
Get full text

Prediction method of 0day attack path based on cyber defense knowledge graph by Cheng SUN, Hao HU, Yingjie YANG, Hongqi ZHANG

“…To solve the difficulty of attack detection caused by the 0day vulnerability, a prediction method of 0day attack path based on cyber defense knowledge graph was proposed.The cyber defense knowledge graph was constructed to refine the discrete security data such as threat, vulnerability and asset into the complete and high-related knowledge format by extracting concepts and entities related to network attack from cyber security ontology research finds and databases.Based on the knowledge integrated by the knowledge graph, assumed and restricted the unknown attributes such as the existence, availability and harmfulness of 0day vulnerabilities, and model the concept of ＆quot;attack＆quot; as a relationship between attacker entities and device entities in the knowledge graph to transform the attack prediction to the link prediction of knowledge graph.According to this, apply path ranking algorithm was applied to mine the potential 0day attack in the target system and construct the 0day attack graph.Predicted the 0day attack path by utilizing the scores output by classifiers as the occurrence probabilities of single step attack and computing the occurrence probabilities of different attack paths.The experimental result shows that with the help of complete knowledge system provided by knowledge graph, the proposed method can reduce the dependence of prediction analysis on expert model and overcome the bad influence of 0day vulnerability to improve the accuracy of 0day attack prediction.And utilizing the characteristic that path ranking algorithm reasons based on the structure of graph can also help to backtrack the reasons of predicting results so as to improve the explainability of predicting.…”
Get full text

Daytime Equatorial Spread F‐Like Irregularities Detected by HF Doppler Receiver and Digisonde by B. Olugbon, E. O. Oyeyemi, A. Kascheyev, A. B. Rabiu, A. A. Obafaye, O. O. Odeyemi, A. O. Adewale

“…This study presents two rare daytime ESF‐like events which occurred over an interval ∼2 h and were detected by the HF Doppler receiver located in Lagos (LAG: geographic: 3.27°E, 6.48°N; dip latitude −1.72°) and the Lowell Digisonde at Ilorin (ILR; 4.68°E, 8.50°N; dip latitude −1.25°), managed by Lowell GIRO Data Center (LGDC). …”
Get full text

Voice pathology detection using machine learning algorithms based on different voice databases by Nurul Mu'azzah Abdul Latiff, Fahad Taha Al-Dhief, Nurul Fariesya Suhaila Md Sazihan, Marina Mat Baki, Nik Noordini Nik Abd. Malik, Musatafa Abbas Abbood Albadr, Ali Hashim Abbas

Subjects: Get full text

Research on Fast Pedestrian Detection Algorithm Based on Autoencoding Neural Network and AdaBoost by Hongzhi Zhou, Gan Yu

“…In order to solve the problem of low accuracy of pedestrian detection of real traffic cameras and high missed detection rate of small target pedestrians, this paper combines autoencoding neural network and AdaBoost to construct a fast pedestrian detection algorithm. …”
Get full text

Detection of Water Contamination Events Using Fluorescence Spectroscopy and Alternating Trilinear Decomposition Algorithm by Jie Yu, Xiaoyan Zhang, Dibo Hou, Fang Chen, Tingting Mao, Pingjie Huang, Guangxin Zhang

“…The method based on conventional index and UV-vision has been widely applied in the field of water quality abnormality detection. This paper presents a qualitative analysis approach to detect the water contamination events with unknown pollutants. …”
Get full text

Latex agglutination test for rapid detection of antibodies to infectious hematopoietic necrosis virus of salmon by M. L. Doronin, V. A. Pylnov, S. S. Rybakov

“…Latex-agglutination preparations were produced for detection of antibodies to infectious hematopoietic necrosis virus of salmon with analytical sensitivity of 0,9 цд/ті. …”
Get full text

Real-Time Detection of Application-Layer DDoS Attack Using Time Series Analysis by Tongguang Ni, Xiaoqing Gu, Hongyuan Wang, Yu Li

“…Consequently, neither intrusion detection systems (IDS) nor victim server can detect malicious packets. …”
Get full text

Fault Detection of High-Speed Train Wheelset Bearing Based on Impulse-Envelope Manifold by Zhe Zhuang, Jianming Ding, Andy C. Tan, Ying Shi, Jianhui Lin

“…A novel fault detection method employing the impulse-envelope manifold is proposed in this paper which is based on the combination of convolution sparse representation (CSR) and Hilbert transform manifold learning. …”
Get full text

AccFIT-IDS: accuracy-based feature inclusion technique for intrusion detection system by C. Rajathi, P. Rukmani

Subjects: Get full text

The critical role of primary care clinicians in the early detection of ocular surface squamous neoplasia by Leendert Dekker, Jan F. Olivier, Klaus von Pressentin

Get full text

Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis by Vivens Mubonanyikuzo, Hongjie Yan, Temitope Emmanuel Komolafe, Liang Zhou, Tao Wu, Nizhuan Wang

“…Vision transformers (ViTs) are emerging as promising deep learning models in medical imaging, with potential applications in the detection and diagnosis of AD. ObjectiveThis review systematically examines recent studies on the application of ViTs in detecting AD, evaluating the diagnostic accuracy and impact of network architecture on model performance. …”
Get full text

Indonesian Sign Language Image Detection Using Convolutional Neural Network (CNN) Method by Andreas Nugroho Sihananto, Erista Maya Safitri, Yoga Maulana, Fikri Fakhruddin, Mochammad Ervinda Yudistira

Get full text

WEB VULNERABILITIES DETECTION USING A HYBRID MODEL OF CNN, GRU AND ATTENTION MECHANISM by Sarbast H. Ali, Arman I. Mohammed, Sarwar MA. Mustafa, Sardar Omar Salih

“…Therefore, this paper proposes a hybrid model built on the base of Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU) and an attention mechanism to detect vulnerabilities in application code. Particularly, the model can help detect attacks based on Structured Query Language Injection (SQLi), Cross-Site Scripting (XSS), and command injection. …”
Get full text

A social enterprise model for TB detection and treatment through the private sector in Pakistan by S. M. A. Zaidi, W. Z. Jamal, U. Ibrahim, S. Khowaja, A. J. Khan, J. Creswell

“…OBJECTIVE: To evaluate the impact of a social enterprise model (SEM) intervention on TB case detection in Karachi, Pakistan, and to assess its financial sustainability. …”
Get full text

Electrochemical Sensor Based on Co-MOF for the Detection of Dihydromyricetin in <i>Ampelopsis grossedentata</i> by Xiaojing Si, Yue Huang, Mei Han, Liqiang Luo

“…The results showed that, in comparison to the bare GCE, the electro-oxidation peak current of DMY was considerably increased by the Co-MOF/GCE. The detection limit was 0.07 μM, and the peak current demonstrated two linear relationships in the ranges of 0.2−20 μM and 20−100 μM, with the linear equations of Ip (μA) = 0.4729c (μM) + 1.0822 (R² = 0.9913) and Ip (μA) = 0.0939c (μM) + 8.4178 (R² = 0.9971), respectively. …”
Get full text

A Multi-Index Generative Adversarial Network for Tool Wear Detection with Imbalanced Data by Guokai Zhang, Haoping Xiao, Jingwen Jiang, Qinyuan Liu, Yimo Liu, Liying Wang

“…In this paper, a novel multi-index generative adversarial network (MI-GAN) is proposed to detect the tool wear conditions subject to imbalanced signal data. …”
Get full text

A FSTCN-Based Leak Detection Method for Large-Scale Pipeline Transportation Systems by Du Zhang, Chang-Su Kim, Chul-Hyun Hwang, Tae-Jun Lee, Hoe-Kyung Jung

Subjects: Get full text