Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization by Amit Kumar K., Satheesha T.Y., Syed Thouheed Ahmed, Sandeep Kumar Mathivanan, Sangeetha Varadhan, Mohd Asif Shah

“…The technique is developed on grey wolf optimization algorithm to assure the dataset attribute dependencies are extracted and dimensional mapping is processed. …”
Get full text

Forecasting CO2 emissions in BRICS countries using the grey breakpoint prediction models by Huiping Wang, Xinge Guo

Get full text

Analysis for Improvement of Doppler Tomography Imaging of Objects Scattering Continuous Ultrasonic Waves by Tomasz ŚWIETLIK, Krzysztof J. OPIELINSKI

“…As a result, the conclusions of the research allow to improve the image reconstruction process using the DT method.…”
Get full text

Investigating How User's Activities in Both Virtual and Physical World Impact Each Other Leveraging LBSN Data by Zhiwen Yu, Yue Yang, Xingshe Zhou, Yu Zheng, Xing Xie

Get full text

Dynamic emotion intensity estimation from physiological signals facilitating interpretation via appraisal theory. by Isabel Barradas, Reinhard Tschiesner, Angelika Peer

“…Today's emotion recognition research, however, typically classifies discrete qualities or categorised dimensions, neglecting the dynamic nature of emotional processes and thus limiting interpretability based on appraisal theory. …”
Get full text

Lean Production as Mechanism of Enterprise Management by Ju. S. Lekareva, V. F. Remizova

“…According to the authors, problems of raising quality and cutting prime cost of products can be solved with lean production as a managerial mechanism. The present research can help elaborate the program of maintaining the work of lean production mechanism and use the algorithm at the enterprise.…”
Get full text

Operative correction of judoists’ training loads on the base of on-line monitoring of heart beats rate by Yong Qiang Liu

“…Purpose: ensure increase of effectiveness of training process’s control by means of operative correction of training loads of different qualification judo wrestlers’ heart beats rate indicators. Material: the research was conducted on the base of Brest SCJSOR № 1. …”
Get full text

Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and Current by Shuguang Zhang, Wenku Shi, Zhiyong Chen

“…Smart structures such as damping adjustable dampers made of magnetorheological (MR) fluid can be used to attenuate vibration transmission in vehicle seat suspension. The main research content of this paper is the nonlinearity and hysteresis characteristics of the MR damper. …”
Get full text

Speech Emotion Recognition Using a Multi-Time-Scale Approach to Feature Aggregation and an Ensemble of SVM Classifiers by Antonina STEFANOWSKA, Sławomir Krzysztof ZIELIŃSKI

“…Due to its relevant real-life applications, the recognition of emotions from speech signals constitutes a popular research topic. In the traditional methods applied for speech emotion recognition, audio features are typically aggregated using a fixed-duration time window, potentially discarding information conveyed by speech at various signal durations. …”
Get full text

Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

“…Simulation results reveal that our approach achieves a 91.4% accuracy in classifying vocal styles, surpassing traditional methods and demonstrating its potential for identifying various styles. This research offers technical support for Yue Opera music education and interdisciplinary research. …”
Get full text

User Segmentation Based on Purchasing Habits and Preferences on the Amazon Platform Using K-Means Clustering by Al Isra Denk Rimakka, Rezty Amalia Aras

“…The study employs the K-Means Clustering method to segment Amazon platform users based on their purchasing behavior, site feature interactions, and preferences. The research process involves Knowledge Data Discovery (KDD) stages, including data processing, attribute selection, and applying the K-Means Clustering algorithm. …”
Get full text

Collapse risk assessment based on linear programming variable weight-cloud model. by Xiaoyi Zhou, Ke Hu, Tingqiang Zhou

“…Secondly, the linear programming algorithm is used to select the specific weight of each collapse sample when the risk is the largest in the interval. …”
Get full text

Journalism in the era of panmedia outreach: Systematic literature review by M.V. Zagidullina

“…The objectives of the paper are as follows: firstly, to analyze the scope of the “journalism” concept in modern academic discourse; secondly, to introduce an algorithm for analysis of scientific views based on the SLR (Systematic Literature Review) method. …”
Get full text

Ways of institutionalizing non-formal education and mechanisms for validating and evaluating learning outcomes obtained outside formal education by Larysa Lukianova, Krzysztof Symela

“…It shows that underestimating one’s potential leads to social losses and direct economic costs. The research is based on the following algorithm: generalizing findings of a terminological analysis of non-formal education; determining its links with formal and informal components of the education system; specifying factors in strengthening its role in modern society; visualizing findings with Eurostat’s statistical information on participation rate in education and training (last 4 weeks) by type, sex, age and educational attainment level obtained between 2010 and 2019. …”
Get full text

The information subsystem of the regional situational centerʼs fire hazard prevention function by O.V. Maievskyi, Yu.B. Brodskyi, M.O. Khokhlov

“…The purpose of the study is to develop proposals for the creation of an information subsystem of timely warning about the level of danger of fire occurrence, as a component of the system for ensuring the functioning of the regional situational center. During the research, the methods of the system approach, analysis and synthesis, mathematical modeling, tools of probability theory, numerical methods, and neural network technologies were applied, on the basis of which the principle of functioning of the information subsystem, the basis of which is formed by the computational algorithm, was formed and revealed. …”
Get full text

Experimental economics for machine learning-a methodological contribution on lie detection. by Dmitri Bershadskyy, Laslo Dinges, Marc-André Fiedler, Ayoub Al-Hamadi, Nina Ostermaier, Joachim Weimann

“…To demonstrate this, we focus on algorithms trained to detect lies. Such algorithms are of high relevance for research in economics as they deal with the ability to retrieve otherwise private information. …”
Get full text

Load balancing optimization based on hybrid Heuristic-Metaheuristic techniques in cloud environment by Amanpreet Kaur, Bikrampal Kaur

“…In this paper, the various research gaps for load balancing optimization in the past literature have been presented, which need to be addressed for solving the load balancing problem in cloud environment. …”
Get full text

Analysis of non-exponential sound decay in an enclosure composed of two connected rectangular subrooms by Mirosław Meissner

Get full text

Unsupervised 3D Prostate Segmentation Based on Diffusion-Weighted Imaging MRI Using Active Contour Models with a Shape Prior by Xin Liu, Masoom A. Haider, Imam Samil Yetik

Get full text

A PERFORMANCE-BASED APPROACH TO AIRSPACE OPTIMIZATION USING WIND-OPTIMAL TRACKS NETWORK IN HO CHI MINH FIR by Ngoc Hoang Quan NGUYEN, Minh Hoang LE, Trinh Binh DINH, Phuc Ky NGUYEN, Thu Thao NGUYEN, Toan Thinh LE, Van Tien Son NGUYEN, Hoang Vu NGUYEN

“…However, the application of these models in Vietnam remains relatively limited. In this research, we aim to address the issue of airspace congestion and how to enhance safety and efficiency by developing an algorithm capable of automatically detecting and resolving conflicts. …”
Get full text