Improving the University Digital Infrastructure Management System: Practice of Social Network Analysis by A. A. Azarov, E. V. Brodovskaya, V. A. Lukushin

“…By applying the method of social graphs and automated tools for processing open digital data, a universal algorithm for building and interpreting the resulting visual models is defined. …”
Get full text

Exergy Analysis in Hydrogen-Air Detonation by Abel Rouboa, Valter Silva, Nuno Couto

“…Implicit total variation diminishing (TVD) algorithm, based on Riemann solver, is solved. The typical diagrams of exergy balances of hydrogen detonation in air are calculated for each case. …”
Get full text

Bionics Design of Artificial Leg and Experimental Modeling Research of Pneumatic Artificial Muscles by Hualong Xie, Zhijie Li, Fei Li

“…Finally, the virtual prototype technology is used to build a joint simulation platform, and PID control algorithm is used for verification simulation. The results show that the artificial leg can follow the target trajectory.…”
Get full text

An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease by Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

“…Different feature selection approaches including chi-square test, recursive feature elimination (RFE), genetic algorithm (GA), particle swarm optimization (PSO), and random forest are evaluated for their effectiveness in enhancing the classification accuracy of the machine learning classifiers. …”
Get full text

Seamless multimodality for passenger transportation in the Russian Federation by A. S. Stepanenko, A. S. Bolt, P. S. Bolt

“…The movement of financial and information flows and the algorithm of actions of the system participants are determined.…”
Get full text

Utilizing Structural Network Positions to Diversify People Recommendations on Twitter by Ekaterina Olshannikova, Erjon Skenderi, Thomas Olsson, Sami Koivunen, Jukka Huhtamäki

“…Social recommender systems, such as “Who to follow” on Twitter, utilize approaches that recommend friends of a friend or interest-wise similar people. Such algorithmic approaches have been criticized for resulting in filter bubbles and echo chambers, calling for diversity-enhancing recommendation strategies. …”
Get full text

Multimedia Tasks-Oriented Edge Computing Offloading Scheme Based on Graph Neural Network in Vehicular Networks by Yong Huang

“…Finally, the performance of the proposed scheme is validated through simulation experiments, including metrics such as model stability, subtask deployment error rate, expected energy consumption, and algorithm solution time. The proposed hybrid approach not only enhances the efficiency of resource allocation but also minimizes processing delays, ultimately contributing to improved performance in vehicular networks.…”
Get full text

Application of the ESRI Geostatistical Analyst for Determining the Adequacy and Sample Size Requirements of Ozone Distribution Models in the Carpathian and Sierra Nevada Mountains by Witold Fraczek, Andrzej Bytnerowicz, Michael J. Arbaugh

“…The final maps of O3 concentrations for Sierra Nevada were derived from cokriging algorithm based on two secondary variables — elevation and maximum temperature as well as the determined geographic trend. …”
Get full text

Correlation Coefficient Filtering Method for Optimal Sensor Layout Strategies in Inverse Problems by Qingyang Yuan, Xiangji Guo, Jiajie Han, Bingyue Han, Bo Zhang, Tian Lan

“…The study reflects the significant value of the correlation coefficient filtering method, based on the assumption of global correlation maximization, in evaluating optimal measurement points of the system, laying a foundation for the subsequent application of this algorithm in engineering.…”
Get full text

APPLICATION OF TRADITIONALTHEORIES IN THE AGE OF CYBER COMMUNICATION by JIBRIN UMAR OMACHI, COMFORT ENE OBAJE

“…It argues for the need to adapt and modify these theories to account for the unique characteristics of cyber communication, including networked connectivity, user-generated content, and algorithmic influence. A nuanced understanding of the socio-cultural, technological, and contextual factors shaping digital communication practices is emphasized. …”
Get full text

Graph Knowledge Structure for Attentional Knowledge Tracing With Self-Supervised Learning by Zhaohui Liu, Sainan Liu, Weifeng Gu

“…In addition, we incorporate the improved representation algorithm into the loss function to handle data sparsity, thereby improving prediction accuracy. …”
Get full text

Contribution of Daylighting to Saving Electrical Energy in Cameroon: Case Study of a Classroom in a Public School by Merimé Souffo Tagueu, Lionelle Adelaїde Madjou Tanekou, Benoît Ndzana

“…Applying the optimization algorithm designed for this purpose brings the average illuminance level down to 300lx following the EN12464 standard. …”
Get full text

Research on image generation technology based on deep learning by Li Jinchen

“…Based on the above problems, this paper analyzes the methods of improving and optimizing the mainstream image generation algorithm from the perspectives of improving and optimizing the loss function, improving the space modeling, revising the structure of both the generator and discriminator, while speeding up the training process. …”
Get full text

An Orderly EV Charging Scheduling Method Based on Deep Learning in Cloud-Edge Collaborative Environment by Jiayong Zhong, Xiaofu Xiong

“…The simulation results show that the load peak-to-valley difference and standard deviation of the proposed algorithm are reduced by 30.13% and 16.94%, respectively, compared with the disorderly charging and discharging behavior, which has verified the effectiveness and feasibility of the proposed method.…”
Get full text

Optimization on Nonlinear Dynamics of Gear Rattle in Automotive Transmission System by Mingxuan Liang, Ying Wang, Tian Zhao

“…Finally, the gear backlash, equivalent mass, and rotational speed are optimized based on Kriging surrogate model (KSM) and differential evolution (DE) algorithm by taking the minimization of the maximum rattle noise as the optimal object. …”
Get full text

Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models by Jasim Ghaeb, Ibrahim Al-Naimi, Malek Alkayyali

“…In this paper, an intelligent integrated approach is proposed to control the reactive power and restore the voltage balance in a three-phase power system using particle swarm optimization (PSO), Gaussian process regression (GPR), and support vector machine (SVM). The PSO algorithm is used in offline mode to determine the optimal set of firing angles for the thyristor-controlled-reactor (TCR) compensator according to the smallest fitness value required for voltage balancing. …”
Get full text

Probabilistic Error Modeling and Topology-Based Smoothing of Indoor Localization and Tracking Data, Based on the IEEE 802.15.4a Chirp Spread Spectrum Specification by Olga E. Segou, Stelios C. A. Thomopoulos

“…The application of the smoothing algorithm, however, further reduces the normalized error by a considerable amount.…”
Get full text

Deep Domain Adaptation Approach Using an Improved Parallel Residual Network for Cross-Domain Bearing Fault Diagnosis by Jiezhou Huang

“…Experimental results illustrate that the algorithm can extract domain-invariant features for different cross-domain diagnosis tasks and thus improve fault diagnosis accuracy.…”
Get full text

Design of Semantic Matching Model of Folk Music in Occupational Therapy Based on Audio Emotion Analysis by Wensi Ouyang

“…The model is based on the framework of emotional semantic matching technology and realizes the emotional semantic matching of music fragments and words through semantic emotional recognition algorithm. Multiple experiments show that when W=0.65, the recognition rate of multichannel fusion model is 88.42%, and the model can reasonably realize audio emotion analysis. …”
Get full text

Two-Step Root-MUSIC for Direction of Arrival Estimation without EVD/SVD Computation by Feng-Gang Yan, Shuai Liu, Jun Wang, Ming Jin

“…A two-step root multiple signal classification (TS-root-MUSIC) algorithm is proposed to avoid the complex EVD/SVD computation using a uniform linear array (ULA) based on a mild assumption that the number of signals is less than half that of sensors. …”
Get full text