PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

“…Second, in order to further reduce the size of the model while ensuring the detection accuracy, Feature Interaction Shared Detection Head (FISH) is introduced. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

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ROCK FRACTURES NEAR FAULTS: SPECIFIC FEATURES OF STRUCTURAL‐PARAGENETIC ANALYSIS by Yu. P. Burzunova

“…The new approach to structural‐paragenetic analysis of near‐fault fractures [Seminsky, 2014, 2015] and specific features of its application are discussed. This approach was tested in studies of fracturing in West Pribaikalie and Central Mongolia. …”
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Malware detection approach based on improved SOINN by Bin ZHANG, Lixun LI, Shuqin DONG

“…To deal with the problems of dynamic update of detection model and high computation costs in malware detection model based on batch learning,a novel malware detection approach is proposed by combing SOINN and supervised classifiers,to reduce computation costs and enable the detection model to update dynamically with the assistance of SOINN′s incremental learning characteristic.Firstly,the improved SOINN was given.According to the whole alignment algorithm,search the adjusted weights of neurons under all input sequences in the learning cycle and then calculate the average value of all adjusted weights as the final result,to avoid SOINN′s stability under different input sequences and representativeness of original data,therefore improve malware detection accuracy.Then a data preprocessing algorithm was proposed based on nonnegative matrix factor and Z-score normalization to transfer the malware behavior feature vector from high dimension and high order to low dimension and low order,to speed up and avoid overfitting and further improve detection accuracy.The results of experiments show that proposed approach supports dynamic updating of detection model and has a significantly higher accuracy of detecting unknown new samples and lower computation costs than tradition methods.…”
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Features of management and treatment of elderly patients with type 2 diabetes mellitus by L. Yu. Morgunov, E. V. Zemskova

“…Diagnostic criteria for diabetes mellitus in elderly patients do not differ from the general population, there are several features of their management. The elderly population varies greatly in functional and cognitive abilities. …”
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Automatic tag detection in multimedia survey condition by M. Russo, L. Martelli, R. Ravanelli, A. Pini

“…This paper focuses on such technical problems, presenting part of the qualitative and quantitative results obtained at this stage of our research and the approach used to resolve some detection limitations.…”
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Robustness evaluation of commercial liveness detection platform by Pengcheng WANG, Haibin ZHENG, Jianfei ZOU, Ling PANG, Hu LI, Jinyin CHEN

“…Liveness detection technology has become an important application in daily life, and it is used in scenarios including mobile phone face unlock, face payment, and remote authentication.However, if attackers use fake video generation technology to generate realistic face-swapping videos to attack the living body detection system in the above scenarios, it will pose a huge threat to the security of these scenarios.Aiming at this problem, four state-of-the-art Deepfake technologies were used to generate a large number of face-changing pictures and videos as test samples, and use these samples to test the online API interfaces of commercial live detection platforms such as Baidu and Tencent.The test results show that the detection success rate of Deepfake images is generally very low by the major commercial live detection platforms currently used, and they are more sensitive to the quality of images, and the false detection rate of real images is also high.The main reason for the analysis may be that these platforms were mainly designed for traditional living detection attack methods such as printing photo attacks, screen remake attacks, and silicone mask attacks, and did not integrate advanced face-changing detection technology into their liveness detection.In the algorithm, these platforms cannot effectively deal with Deepfake attacks.Therefore, an integrated live detection method Integranet was proposed, which was obtained by integrating four detection algorithms for different image features.It could effectively detect traditional attack methods such as printed photos and screen remakes.It could also effectively detect against advanced Deepfake attacks.The detection effect of Integranet was verified on the test data set.The results show that the detection success rate of Deepfake images by proposed Integranet detection method is at least 35% higher than that of major commercial live detection platforms.…”
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Selecting change image for efficient change detection by Rui Huang, Ruofei Wang, Yuxiang Zhang, Yan Xing, Wei Fan, Kai Leung Yung

“…Abstract Change detection (CD) is a fundamental problem that aims at detecting changed objects from two observations. …”
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PHENOTYPIC FEATURES AND CHEMILUMINESCENT ACTIVITY OF NEUTROPHILIC GRANULOCYTES IN THE PATIENTS WITH RENAL CANCER by A. A. Savchenko, A. G. Borisov, A. A. Modestov, I. V. Kudryavtsev, A. V. Moshev, I. I. Gvozdev, O. G. Tonacheva

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Features of defecation dysfunction among patients with Hirschsprung disease in early childhood by Shiwen Pan, Wei Li, Chengpeng Shi, Weibing Tang, Changgui Lu

“…Abstract Background Defecation dysfunction among patients with Hirschsprung disease (HD) in early childhood may persist into adulthood and lead to social problems. The features of defecation dysfunction in HD patients with different aganglionic segment lengths during early childhood have not been established. …”
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Molecular features of renal cell carcinoma: early diagnostics and perspectives for therapy by O. V. Kovaleva, O. R. Nazarova, V. B. Matveev, A. N. Gratchev

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Arabic web pages clustering and annotation using semantic class features by Hanan M. Alghamdi, Ali Selamat, Nor Shahriza Abdul Karim

“…To effectively manage the great amount of data on Arabic web pages and to enable the classification of relevant information are very important research problems. Studies on sentiment text mining have been very limited in the Arabic language because they need to involve deep semantic processing. …”
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Causes of intraventricular hemorrhages in extremely premature newborns and features of their early outcomes by V. V. Kocherova, N. G. Popova, V. A. Shcherbak

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Moving Objects Detection Based on Frequency Domain by jalal hameed awad, Balsam Dhyia Majeed

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Plant disease detection with generative adversarial networks by Garam Han, Derek Kwaku Pobi Asiedu, Kwabena Ebo Bennin

“…Generative Adversarial Networks (GANs) have emerged as a promising approach for enhancing image detection and facilitating image classification. Deep learning models, which exhibit high classification accuracy, have proven advantageous over conventional approaches for Plant disease detection (PDD). …”
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Modern Psychoactive Substances and Their Detection in Biomedical Samples by A. M. Grigoryev, V. N. Fateenkov

“…The purpose of the work is to review psychoactive compounds and methods of their detection performed for diagnostic purposes. The paper presents brief characteristics of the most common NPS, as well as features of their metabolism in the human. …”
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Multiscale Feature Filtering Network for Image Recognition System in Unmanned Aerial Vehicle by Xianghua Ma, Zhenkun Yang, Shining Chen

“…To solve this problem, a multiscale feature filtering network (MFFNet) is proposed in this paper for image recognition system in the UAV. …”
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An Adaptive Threshold-Based Pixel Point Tracking Algorithm Using Reference Features Leveraging the Multi-State Constrained Kalman Filter Feature Point Triangulation Technique for D... by Zohaib Wahab Memon, Yu Chen, Hai Zhang

“…Tracking arbitrary featureless pixel points alongside traditional features ensures a real-time depth map of the surroundings, which can be applied to various applications, including obstacle detection, collision avoidance, and path planning.…”
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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…To promote the ability of high-precision highway maintenance and detection and solve the situation of false detection or missing detection of road defects, it is necessary to establish a monitoring mechanism of multi-scale feature fusion. …”
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Theoretical and Methodological Features of the Analysis of the Basic Concepts of the Modern Theory of National Security by A. B. Feonichev, K. Yu. Meleshin

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