Teaching Evaluation Algorithm Based on Grey Relational Analysis by Xiaoying Zhang, Xiuying Yang, Jing Yang

“…In this paper, we examine the problem of evaluating the quality of undergraduate education by multiple indicators and establish a comprehensive evaluation model of the quality of undergraduate education in the 13 prefecture level cities by using the grey correlation analysis. …”
Get full text

A Novel Approach Based on Sine Trigonometric Picture Fuzzy Aggregation Operators and Their Application in Decision Support System by Saleem Abdullah, Saifullah Khan, Muhammad Qiyas, Ronnason Chinram

“…Then, we presented a group decision-making strategy to address the multiple attribute group decision-making (MAGDM) problem using the developed aggregation operators and demonstrated this with a practical example. …”
Get full text

AKRASIJA IR SUBJEKTAS EGONOMIKOJE by Zenonas Norkus

“…The interpersonal problem of distributive justice has its pendant in the problem of choice of rational life-plan, and the problem of overcoming akrasia is paralleled by that of preventing free riding in the collective action theory. …”
Get full text

Iterated Dynamic Condensation Technique and Its Applications in Modal Testing by Zhikun Hou, Shiyu Chen

“…Numerical results are presented to illustrate the feasibility and efficiency of the iterated dynamic condensation. A comparison with the experimental results of a multiple disk system is also provided.…”
Get full text

Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…GA is a robust optimization technique that can effectively handle complex problems with multiple constraints. The study population comprises companies listed on the Tehran Stock Exchange for the year 2021. …”
Get full text

Hierarchical Multi-Communities Energy Sharing Management with Electric Vehicle Integration by Ruengwit Khwanrit, Saher Javaid, Yuto Lim, Chalie Charoenlarpnopparut, Yasuo Tan

“…The proposed model is validated through comparison with typical human charging behavior, as well as single- and multiple-community two-level game models. …”
Get full text

A Novel Method for Economic Dispatch with Across Neighborhood Search: A Case Study in a Provincial Power Grid, China by Guojiang Xiong, Jing Zhang, Xufeng Yuan, Dongyuan Shi, Yu He, Yao Yao, Gonggui Chen

“…Furthermore, ANS is applied to a practical provincial power grid of China. All the comparison results consistently indicate that ANS is highly competitive and can be used as a promising alternative for ED problems.…”
Get full text

Preprocessing Approach for Power Transformer Maintenance Data Mining Based on k-Nearest Neighbor Completion and Principal Component Analysis by Moïse Manyol, Samuel Eke, Alphonse J. M. Massoma, Alain Biboum, Ruben Mouangue

“…A rigorous comparison is made between our approach and two others. …”
Get full text

USING A DIDACTIC TOOL WITH IT-SUPPORT FOR TEACHING GEOGRAPHY IN A SPECIAL SCHOOL IN SLOVAKIA by Viktor Hladush, Slávka Bendíková, Barbora Kovačova, Marcela Čarnická

“…To validate these results, considering the limited research sample due to the unique nature of special schools' educational process, we employed nonparametric tests such as the Kruskal-Wallis and Dunn's tests for multiple comparisons. These tests were utilized to ensure the reliability and significance of the findings. …”
Get full text

Throughout Maximization for IRS-Assisted WPCN With Hybrid TDMA-NOMA Scheme by Yizheng Ma, Ruoyi Wu, Yi Zhang, Yupeng Shang, Linzhen Zhu

“…This work leverages an Intelligent Reflecting Surface (IRS) to improve throughput performance of a wireless powered communication network (WPCN). A novel hybrid multiple access strategy is conceived, where the IRS set the time-division multiple access (TDMA) to allocate its phase shifts, each of which performs the non-orthogonal multiple access for multiple Internet of Things (IoT) devices. …”
Get full text

Local Stress Field Correction Method Based on a Genetic Algorithm and a BP Neural Network for In Situ Stress Field Inversion by Tianzhi Yao, Zuguo Mo, Li Qian, Jianhua He, Jianhai Zhang

“…The inverted in situ stress results produced by this method show that the distribution of in situ stress is greatly influenced by tectonic movements in the Yebatan area, there is no obvious linear relationship with depth, and the stress release phenomenon occurs at the faults. By comparison with the multiple regression method, it is found that the method still has high inversion accuracy under complex geological conditions, and the average relative error of LSFC inversion results is 17.05%, which is much lower than the value of 43.58% via the multiple regression method. …”
Get full text

Deep weighted survival neural networks to survival risk prediction by Hui Yu, Qingyong Wang, Xiaobo Zhou, Lichuan Gu, Zihao Zhao

“…However, it still poses a challenge in building an efficient method to improve the accuracy of cancer-specific survival risk prediction, such as data noise problem. In order to solve the above problem, we propose a diversity reweighted deep survival neural network method with grid optimization (DRGONet) to improve the accuracy of cancer-specific survival risk prediction. …”
Get full text

Scaled Diagonal Gradient-Type Method with Extra Update for Large-Scale Unconstrained Optimization by Mahboubeh Farid, Wah June Leong, Najmeh Malekmohammadi, Mustafa Mamat

“…We present a new gradient method that uses scaling and extra updating within the diagonal updating for solving unconstrained optimization problem. The new method is in the frame of Barzilai and Borwein (BB) method, except that the Hessian matrix is approximated by a diagonal matrix rather than the multiple of identity matrix in the BB method. …”
Get full text

Entropy-Based Clutter Rejection for Intrawall Diagnostics by Raffaele Solimene, Antonietta D'Alterio

“…The intrawall diagnostic problem of detecting localized inhomogeneities possibly present within the wall is addressed. …”
Get full text

Nonlinear Vibrations of Multiwalled Carbon Nanotubes under Various Boundary Conditions by Hossein Aminikhah, Milad Hemmatnezhad

“…The present work deals with applying the homotopy perturbation method to the problem of the nonlinear oscillations of multiwalled carbon nanotubes embedded in an elastic medium under various boundary conditions. …”
Get full text

Hard-Wired Dopant Networks and the Prediction of High Transition Temperatures in Ceramic Superconductors by J. C. Phillips

“…The reasons for this success in an exponentially complex (non-polynomial complete, NPC) problem are discussed, and a critical comparison is made with previous polynomial (PC) theories. …”
Get full text

Waypoint Position Optimization for Accurate Ground-Based Arrival Time Control of Aircraft by Noboru Takeichi

“…Through numerical investigations, the feasibility of the waypoint position optimization and its effectiveness were clearly demonstrated in comparison with uniform arrangement cases. It was also clarified that the advantage of the multiple waypoint application was enhanced when larger arrival time control windows were available.…”
Get full text

A Parallel Image Denoising Network Based on Nonparametric Attention and Multiscale Feature Fusion by Jing Mao, Lianming Sun, Jie Chen, Shunyuan Yu

“…Convolutional neural networks have achieved excellent results in image denoising; however, there are still some problems: (1) The majority of single-branch models cannot fully exploit the image features and often suffer from the loss of information. (2) Most of the deep CNNs have inadequate edge feature extraction and saturated performance problems. …”
Get full text

Development of Rogers RT/Duroid 5880 Substrate-Based MIMO Antenna Array for Automotive Radar Applications by D. Subitha, S. Velmurugan, M. Vanitha Lakshmi, P. Poonkuzhali, T. Yuvaraja, Samson Alemayehu

“…In this paper, a novel 2 × 2 multiple-input multiple-output (MIMO) antenna array with four patch elements is designed. …”
Get full text

A MultiModal Detection Method for UHV Substation Faults Based on Robot Inspection and Deep Learning by Rong Meng, Zhao-lei Wang, Zhi-long Zhao, Jian-peng Li, Wei-ping Fu

“…The average detection accuracy under multiple intersection ratio thresholds is also the highest, and the performance is better than the other three comparison algorithms.…”
Get full text