Fast fault diagnosis of smart grid equipment based on deep neural network model based on knowledge graph. by Lin Jun, Zhou Chenliang

“…But on the other hand, the complex network architecture of smart grid and the application of various high-tech technologies have also greatly increased the probability of equipment failure and the difficulty of fault diagnosis, and timely discovery and diagnosis of problems in the operation of smart grid equipment has become a key measure to ensure the safety of power grid operation. …”
Get full text

Identification of Low‐Value Defects in Infrared Images of Porcelain Insulators Based on STCE‐YOLO Algorithm by Shaotong Pei, Weiqi Wang, Chenlong Hu, Keyu Li, Haichao Sun, Mianxiao Wu, Bo Lan

“…However, traditional detection methods have many shortcomings in the face of a complex environment and small target recognition. …”
Get full text

Deep learning-based multimodal trajectory prediction methods for autonomous driving: state of the art and perspectives by Jun HUANG, Yonglin TIAN, Xingyuan DAI, Xiao WANG, Zhixing PING

“…Although deep learning methods have achieved better results than traditional trajectory prediction algorithms, there are still problems such as information loss, interaction and uncertainty difficulties in modelling, and lack of interpretability of predictions when implementing multimodal high-precision prediction for autonomous vehicles in heterogeneous, highly dynamic and complex changing environments.The newly developed Transformer's long-range modelling capability and parallel computing ability make it a great success not only in the field of natural language processing, but also in solving the above problems when extended to the task of multimodal trajectory prediction for autonomous driving.Based on this, the aim of this paper is to provide a comprehensive summary and review of past deep neural network-based approaches, in particular the Transformer-based approach.The advantages of Transformer over traditional sequential network, graphical neural network and generative model were also analyzed and classified in relation to existing challenges, simultaneously.Transformer models can be better applied to multimodal trajectory prediction tasks, and that such models have better generalisation and interpretability.Finally, the future directions of multimodal trajectory prediction were presented.…”
Get full text

Preoperative prediction of gastric cancer T-staging based on ordinal regression models by O. V. Krasko, M. Yu. Reutovich, A. L. Patseika

Get full text

Comparing Evolutionary Strategies on a Biobjective Cultural Algorithm by Carolina Lagos, Broderick Crawford, Enrique Cabrera, Ricardo Soto, José-Miguel Rubio, Fernando Paredes

“…Evolutionary algorithms have been widely used to solve large and complex optimisation problems. …”
Get full text

Superposition Methods for Topology Optimization for Non-Concurrent Loads by Daniel Miler, Matija Hoić

“…While dynamic topology optimization more realistically solves such problems, it is also much more computationally expensive and requires complex mathematical formulations and solvers. …”
Get full text

Algorithms of the Method of Statically Admissible Discontinuous Stress Fields (SADSF) – Part II: The Algorithms for Solving Limit Stress Fields Around Isolated Nodes of Stress Disc... by W. Bodaszewski

“…SUMMARY OF THE WHOLE PAPER: By now, the SADSF method is practically the only tool of shape design of complex machine elements that provides an effective solution even to the problems of 3D distribution of the material, and at the same time it is still enough user-friendly to be useful for engineers. …”
Get full text

CREATION OF THE INNOVATIVE ECOSYSTEM AND LIFE QUALITY IMPROVEMENT IN THE REGION by A. Nikonorova

“…The problems of creation of an innovative ecosystem and its impact on the quality of population`s life in the region have considered. …”
Get full text

The prevention and treatment of opportunistic infections in HIV-infected adults by G. Maartens

“…A practitioner dealing with more complex problems may find it necessary to consult with a colleague or refer to more comprehensive material.…”
Get full text

Digitalisation as a competitive advantage of Rosatom State Corporation by V. V. Degtyareva, D. A. Murzintseva

“…The main prospects and trends in the development of the state corporation have been identified. The article describes the problems faced by the process of digitisation of the industry. …”
Get full text

RELIGION AND STATE IN THE EUROPEAN UNION by Joanna Kulska

“…Central European countries like Poland, Czech Republic or Slovakia have been facing the unsolved issues of restitution of Church property despite the fact that over two decades have passed since the collapse of communism. …”
Get full text

Study of Post-Radiation Effects in Gasolines by Jabbarova Lala Yusif, Mustafaev Islam Israfil, Ibadov Navai Ayyub, Guliyeva Nigar Gacay, Mirzayeva Aida Suleyman

“…However, post-polymerization processes in gasoline have not been studied in detail. The processes caused by radiolysis can continue for a long time after the cessation of exposure to radiation, which changes the composition of the fuel. …”
Get full text

Iran's Media Diplomacy Challenges in Tourism Marketing by Fateme Asgharian Kari, Sajad Ferdowsi

“…Literature Review Diplomacy and tourism have a complex relationship with each other, which is especially evident in the field of international relations and diplomatic interactions. …”
Get full text

A survey on resource allocation in backscatter communication networks by Yongjun XU, Haoke YANG, Yinghui YE, Qianbin CHEN, Guangyue LU

“…With the development of Internet of things (IoT) technology, wireless networks have the characteristics of massive user access, high power consumption, and high capacity requirements.In order to meet the transmission requirements and reduce energy consumption, backscatter communication technology was considered to be one of the most effective solutions to the above problems.In the fact of complex network scenarios, the improvement of spectrum efficiency, system capacity, and energy management has become an urgent problem of resource allocation areas in backscatter communications.For this problem, resource allocation algorithms in backscatter communications were surveyed.Firstly, the basic concept and different network architectures of backscatter communication were introduced.Then, resource allocation algorithms in backscatter communication networks were analyzed according to different network types, optimization objectives, and the number of antennas.Finally, the challenges and future research trends of resource allocation problems in backscatter communication networks were prospected.…”
Get full text

Le sujet cognitif de l’apprentissage by André Tricot

“…When using ICT to learn, humans perform a complex task that is difficult to study. Researches on this topic encountered several problems. …”
Get full text

Evaluation of Public Policy Management in Strengthening Citizen Security through the Plithogenic Hypothesis Approach by Julio Cesar Vidal Rischmoller, Rosa María Criollo Delgado, Eluard Alexander Mendoza Zenozain

“…Improving public safety with laws is hard because there are lots of problems in society today. While more studies are being conducted, there are still unknowns, especially with various factors at play.In this article, we will discuss how the plithogenic hypothesis can help us mix ideas and improve our understanding of how public policies function.We review government choices to keep people safe.Studies have shown that this idea is helpful for looking at different parts of public management and understanding how things are connected.The findings prove that this method not only fixes a problem on paper, but also helps us make choices using complex info and enhances the way we lead in a flexible and efficient manner.This study is important for analyzing public policies in uncertain situations in the future.Simply put, we need to look at security issues from different perspectives to solve problems in today's cities.…”
Get full text

A prioritization approach based on VFT and AHP for group decision making: a case study in the military operations by Ygor Logullo, Vinícius Bigogno-Costa, Amanda Cecília Simões da Silva, Mischel Carmen Belderrain

“…Implications for theory and practice The approach developed is effective in complex environments (complex problems and multiple stakeholders) because it focuses on values and defines a process to bring those values into a multicriteria method. …”
Get full text

Optimization of Interval Type-2 Fuzzy Logic System By using A New Hybrid Method of Whale Optimization algorithm and Extreme Learning Machine by Mohammed Qasim Ibrahim, Nazar Khalaf Hussein Al-Dikhil

“… The problem of searching for the best values ​​of the fuzzy logic parameters (T1FLS) is consider complex problems, and for type-2 fuzzy logic system (T2FLS) the problem is more complex, in special case interval type-2 fuzzy logic system (IT2FLS). …”
Get full text

Deformation and stiffness of spur gear teeth and their influence on gear noise by Silvia MEDVECKÁ-BEŇOVÁ

“…The deformation of gear teeth is causing some negative as well as positive effects. A tooth has a complex shape and due to the complex shape of the teeth, a theoretical determination of the deformation is difficult. …”
Get full text

Management of Business Development for Machine-Building Companies in the Frame of integrated Corporate Structures by T. N. Topoleva

“…Moreover, the paper identifies the factors preventing the sustainable development of domestic machine-building industry. A number of problems facing machine-building enterprises during the crisis period can be successfully overcome by them within the frame of integrated corporate structures which are entrusted with a leading role in the development and modernization of the machine-building complex. …”
Get full text