Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…Specifically, the scheme involved sampling the payloads of data packets in sessions using a sliding window mechanism to obtain data block sequences that reflect the information patterns of the original traffic. For each data block, randomness measurement algorithms were utilized to extract sample features and construct randomness features for the original payload. …”
Get full text

LANGUAGE SPACE OF NEURAL NETWORKS: FEATURES AND DIFFERENCES FROM NATURAL LANGUAGE by Natalia B. Egorchenkova, Olga V. Korobova

“…These features include attachment to keywords in the task, potential loss of the main idea, inconsistency with required style, repetition of similar ideas, lack of specific facts or personal experiences, and limitations in vocabulary, linguistic patterns, and grammatical structures. …”
Get full text

Keywords, morpheme parsing and syntactic trees: features for text complexity assessment by Dmitry A. Morozov, Ivan A. Smal, Timur A. Garipov, Anna V. Glazkova

“…Early approaches relied on easily calculable quantities, such as the average length of a sentence or the average number of syllables per word. With the development of natural language processing algorithms, the space of used features is expanding. …”
Get full text

Tool Wear Monitoring Technology and Its Application in Heavy Cutting by CHENG Yao-nan, DING Ya, GAI Xiao-yu, GUAN Rui, MA Chun-jie

“…In order to discuss the tool wear monitoring technology and its application in heavy cutting, taking the common cutting tool wear monitoring as the research object, the most widely used and emerging key technologies, methods and principles in tool wear monitoring are deeply analyzed from the aspects of signal acquisition, feature processing, pattern recognition and decision control.Their advantages and disadvantages are analyzed in detail.Then the application of tool wear monitoring in heavy cutting are explained and analyzed.The achievements and progress made by domestic and foreign scholars in the field of tool wear monitoring are described, and the future development trend is prospected. …”
Get full text

Crystallization behavior and morphological features of ethylene-vinyl alcohol 44 copolymer by Clement Freymond, Alain Guinault, Matthieu Gervais, Miroslaw Pluta, Tomasz Makowski, Ewa Piorkowska, Cyrille Sollogoub

Get full text

Clinical features and outcomes of Rhegmatogenous Retinal Detachments in Acute Retinal Necrosis by Shabtab Nasir, Samreen Mehfooz, Soumyava Basu, Rajeev R. Pappuru, Mudit Tyagi

Get full text

An interpretable deep learning framework for medical diagnosis using spectrogram analysis by Shagufta Henna, Juan Miguel Lopez Alcaraz, Upaka Rathnayake, Mohamed Amjath

“…In contrast, the custom CNN model exhibits more coherent and class-specific activation patterns, offering improved localization of diagnostically relevant features.…”
Get full text

Sensitivity Study of Feature Vectors Formed on the Basis of Multiple Scale Transformations of Processed Images by D. V. Vasilieva

“…A concept of image construction for the purposes of feature vector formation was developed.Conclusion. …”
Get full text

Gardens and garden patterns in housing developments on the coast of Alicante by Álvaro Francisco Morote Seguido, María Hernández Hernández

“…The aim of this research is to know the main features of gardens and landscaping patterns that decide the choice of one or another type of garden (Atlantic or Mediterranean). …”
Get full text

Gardens and garden patterns in housing developments on the coast of Alicante by Álvaro Francisco Morote Seguido, María Hernández Hernández

“…The aim of this research is to know the main features of gardens and landscaping patterns that decide the choice of one or another type of garden (Atlantic or Mediterranean). …”
Get full text

Statistical Analysis of the Patterns of Global Investment Development in China by A. V. Loseva

“…Chinese foreign direct investment in the last two decades has been characterized by an intensive growth in volumes, resistant to global economic crises; analysis of their geographical structure demonstrates the constancy of such a feature as maximizing the opportunities of global offshore zones and countries granting privileges to foreign investors; the sectoral structure of Chinese foreign direct investment has certain patterns of change that are consistent with the goals and objectives of economic development of China set by five-year plans, which makes it possible to predict and find solutions in the field of Russian-Chinese cooperation; a trend has been identified to increase the attention of Chinese investors to the issue of capital formation in the Russian economy. …”
Get full text

Some patterns of development radio-induced metachronous tumors by A. V. Vazhenin, N. A. Shanazarov, E. L. Shun’ko

Get full text

Spatial patterning of chloroplasts and stomata in developing cacao leaves by Insuck Baek, Seunghyun Lim, Visna Weerarathne, Dongho Lee, Jacob Botkin, Silvas Kirubakaran, Sunchung Park, Moon S. Kim, Lyndel W. Meinhardt, Ezekiel Ahn

“…Abstract Leaf development and the coordinated formation of its key components is a fundamental process driving plant growth and adaptation. …”
Get full text

Development of New Electricity System Marginal Price Forecasting Models Using Statistical and Artificial Intelligence Methods by Mehmet Kızıldağ, Fatih Abut, Mehmet Fatih Akay

Get full text

Clinical features and outcomes of COVID-19 patients admitted at a tertiary hospital in Cebu City, Philippines by Mark Gavin Coronel Dinsay, Maria Teresa Acosta Cañete, Bryan Albert Tan Lim

Get full text

VCINet: Visual Cue-Inspired Feature Learning Network for SAR Building Segmentation by Mengyu Wang, Zhiyuan Yan, Wenhui Diao, Xudong Hu, Yingchao Feng, Linlin Xin, Junxi Li, Xian Sun

“…General deep learning methods often struggle to effectively represent consistent building features due to insufficient exploitation of the characteristics and visual cues. …”
Get full text

Ensemble learning techniques reveals multidimensional EEG feature alterations in pediatric schizophrenia by Ying Mao, Ying Mao, Fang Wang, Shan Wang, Zhaowei Wang, Gang Li, Xuchen Qi, Xuchen Qi, Yu Sun, Yu Sun

“…Schizophrenia (SCZ) is a severe mental disorder that impairs brain function and daily life, while its early and objective diagnosis remains a major clinical challenge due to the reliance on subjective assessments. This study aims to develop a machine learning-based framework for the auxiliary diagnosis of SCZ using multi-dimensional electroencephalogram (EEG) features and to investigate the underlying neural alterations. …”
Get full text

Improvement and Optimization of Feature Selection Algorithm in Swarm Intelligence Algorithm Based on Complexity by Bingsheng Chen, Huijie Chen, Mengshan Li

“…Feature selection, as an effective data processing method, has become a hot research topic in the fields of machine learning, pattern recognition, and data mining and has received extensive attention and attention. …”
Get full text

Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

“…Two advanced neural network models were developed and evaluated: a multimodal feature combination model and a multimodal feature coupled model. …”
Get full text

PFVnet, a feature enhancement network for low recognition coal and rock images by Cai Han, Zhenwen Liu, Shenglei Zhao, Yubo Li, Yanwei Duan, Xinzhou Yang, Chuanbo Hao

“…We characterized the grayscale and texture feature patterns of coal-rock media under varying degrees of interference and established a comprehensive multi-element image training sample library. …”
Get full text