Smoke Detection Transformer: An Improved Real-Time Detection Transformer Smoke Detection Model for Early Fire Warning by Baoshan Sun, Xin Cheng

“…As one of the important features in the early stage of fires, the detection of smoke can provide a faster early warning of a fire, thus suppressing the spread of the fire in time. …”
Get full text

Features Image Matchingof SUＲF and ＲANSAC by WANG Wei-bing, BAI Xiao-ling, XU Qian

“…Firstly，the SUＲF operator is used for feature detection and feature description. Then the neighbor algorithm is used to prematch the feature points. …”
Get full text

The Problem of Grade Inflation: Measurement and Analysis by Andrei R. Markov, Natalia L. Shagas, Elena V. Merekina, Alexandra A. Moskaleva

Get full text

Features of tuberculosis diagnosis in the COVID-19 by O. L. Ekaterincheva, A. M. Malkova, V. E. Karev, I. V. Kudryavtsev, Yu. S. Zinchenko, T. B. Potepun, D. A. Kudlai, A. A. Starshinova

Get full text

Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-... by Daoqi Han, Honghui Li, Xueliang Fu

“…The fast growth of the Internet has made network security problems more noticeable, so intrusion detection systems (IDSs) have become a crucial tool for maintaining network security. …”
Get full text

ONE TYPICAL EXTREMUM IN ELECTRICAL PROBLEMS by V. I. Goroshko, T. E. Shukovskaya

“…The aim of this work is to attract attention of teachers, scientific personnel, engineers and students to one peculiarity of extremum seeking in different electrical problems. This feature lies in the fact that in many parts of electrical engineering extremum seeking comes to analysis one and the same mathematical structure (T-structure), but differences lie only in many symbols (designation).In one problems this structure appear in finale, the most simple form, but in others – T-structure is “veiled”, and as a rule  we need  elementary algebraic transformation to detect it.Taking into account high frequency of this structure appearing in electrical problems, in the first part of article the authors  carried out the investigation of extremum characteristics of T-structure and show the results in easy algorithms. …”
Get full text

LINGUISTIC FEATURES OF THE MEMOIR GENRE WORK "MEMOIRES ET DICTEES" ("MEMOIRS AND NOTES") BY G. SIMENON by N. Dyumon

“…The article focuses on the problem of identification and analysis of specific features of the idiostyle of Georges Simenon's memoirs "Memoires et dictees ("Memoirs and Notes") from the viewpoint of modern linguistics of the text and complex stylistic interpretation of the character of memoirs on the material of the French language. …”
Get full text

A marine ship detection method for super-resolution SAR images based on hierarchical multi-scale Mask R-CNN by Jiancong Fan, Miaoxin Guo, Lei Zhang, Jianjun Liu, Jianjun Liu, Yang Li, Yang Li

“…Secondly, a hierarchical multi-scale Mask R-CNN (HMS-MRCNN) detection method is proposed, which significantly improves the multi-scale maritime ship detection problem through the cross-layer fusion of shallow features (small targets) and deep features (large targets). …”
Get full text

THE PROBLEM OF RECURRENCE OF SARCOIDOSIS IN THE PRACTICE OF OUTPATIENT PHYSICIAN by A. Yu. Chernikov, L. G. Zemlyanskych

Get full text

Method of joint wavelet thresholding and F-NLM de-noising for high-resolution SAR ship detection by Liang TONG, Dan LIU, Zhongbo PENG, Han ZOU, Lumeng WANG, Chunyu ZHANG

“…ObjectiveAiming at the significant features of high-resolution synthetic aperture radar (SAR) ship targets with multiple scenes, multi-scale and dense arrangements, and the problem of the blurring of target edge details due to coherent noise in the imaging process, a high-resolution SAR ship detection method is proposed with joint wavelet thresholding and fast non-local mean (F-NLM) de-noising. …”
Get full text

FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

Get full text

FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

Get full text

Clinical features of chronic hepatitis C in children by M. S. Bokhonov, L. E. Galitsina, I. G. Sitnikov, O. S. Gorbunova

Get full text

Recognition of Cordyceps Based on Machine Vision and Deep Learning by Zihao Xia, Aimin Sun, Hangdong Hou, Qingfeng Song, Hongli Yang, Liyong Ma, Fang Dong

Get full text

Intracranial Iatrogenic Foreign Bodies: Features of Neuroimaging by O. A. Staroseltseva, N. V. Nudnov, M. L. Radutnaya, Е. L. Bondar’, А. N. Vorobyev, D. V. Levin, А. А. Yakovlev, Е. V. Pron’kina

Get full text

FEATURES OF BILATERAL BREAST CANCER NODAL METASTASIS by Ye. A. Fesik, N. V. Krakhmal, M. V. Zaviyalova, Ye. M. Slonimskaya, S. V. Vtoryshin, V. M. Perelmuter

“…In the group of patients with unilateral breast cancer nodal metastasis often detects when triple negative molecular genetic type of the lesion, with large amounts of tumor site, in the presence of infiltrative component of three or more types of structures with the obligatory presence of these microalveolar structures and discretely spaced groups of tumor cells and the highest severity of hyalinosis of the stroma.The observed features of nodal metastasis associated with the morphological characteristics of the tumor tissue, may act as prognostic markers in determining the risk of lymph node metastases in women with bilateral breast cancer, which would have a significant aid in determining the prognosis of an individual patient, and, therefore, mean individual approach to the tactics of treatment of such patients.…”
Get full text

Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal by Dongyang Zhao, Guoyong Su, Pengyu Wang

“…Firstly, the C3‐Fast feature extraction module, spatial pyramid pooling with cross‐stage partial connection (SPPCSPC) pooling module, bi‐directional feature pyramid network and lightweight decoupled detection head are used to optimize the YOLOv5s model, so as to construct the FSBD‐YOLOv5s multi‐object detection model. …”
Get full text

Features of the microelement status in children with acute urticaria by G. E. Yalovega, A. A. Lebedenko, S. V. Mal’tsev, T. S. Kalmykova, L. A. Averkina, A. N. Posevina, A. O. Funik, O. E. Semernik, V. M. Novikovsky, E. V. Morgul’

“…Background: The increase in the occurrence of allergic dermatoses, especially in young children, is one of the urgent problems of pediatrics. The development of allergic reactions may be caused by changes in microelements balance of the body. …”
Get full text

Feature Selection and Classification Optimization of Transformer Oil Odor Data With Recursive Feature Elimination Using Grid Search and Cross-Validation by Bilge Han Tozlu

“…In the system designed with eleven inexpensive gas sensors, a total of 200 transformer oil odors with four different usage periods were analyzed. Four features were selected from eighty-eight features using the Recursive Feature Elimination method with Grid Search and Cross-Validation, and they were classified with six different classifiers. …”
Get full text

Multi-scale target intelligent detection method for coal, foreign object and early damage of conveyor belt surface under low illumination and dust fog by Hongwei FAN, Jinpeng LIU, Xiangang CAO, Chao ZHANG, Xuhui ZHANG, Man LI, Hongwei MA, Qinghua MAO

“…Aiming at the problems of unclear monitoring images and small target detection of early damage of belt surface caused by low illumination, uneven illumination and dust fog, a multi-scale target intelligent detection method for coal, foreign object and early damage of belt surface in low illumination and dust fog environment is proposed. …”
Get full text