Results 21 to 30 of about 1,560 (214)

Correlations Between Media Use of Students and their Lecturers at German Universities: An Explorative Study [PDF]

, 2021
Die wachsende gesellschaftliche Bedeutung von Digitalisierung zeigt sich in den letzten Jahren auch durch die zunehmende Etablierung digitaler Strukturen innerhalb der deutschen Hochschulen.
Besa, Kris-Stephen, Biehl, Annalisa
core   +1 more source

Trade‐offs between ion‐conducting and mechanical properties: The case of polyacrylate electrolytes

Carbon Energy, Volume 5, Issue 2, February 2023., 2023
This review, capitalizing on extensive research on polyacrylates ranging from gels and solids to composite polymer electrolytes (PEs), aims to inspect the long‐standing conflict between mutually exclusive ion‐transport and mechanical properties and to highlight potential reconciling strategies, providing researchers with a more representative and ...
Guoli Lu, Yaojian Zhang, Jianjun Zhang, Xiaofan Du, Zhaolin Lv, Junzhe Du, Zhiming Zhao, Yue Tang, Jingwen Zhao, Guanglei Cui   +9 more
wiley   +1 more source

Design and Evaluation of a Virtual Learning Environment for Higher Education [PDF]

, 2023
Das Interesse an Virtual Reality (VR) für die Hochschullehre steigt aktuell vermehrt durch die Möglichkeit, logistisch schwierige Aufgaben abzubilden sowie aufgrund positiver Ergebnisse aus Wirksamkeitsstudien.
Gilbert, David, Bachmann, Daniel, Meyer, Jörg, Wiederspohn, Sebastian, Müser, Sinja, Fehling, Christian Dominic, Maiero, Jens, Eroglu, Sevinc   +7 more
core   +1 more source

[Retracted] Short‐Term Load Monitoring of a Power System Based on Neural Network

International Transactions on Electrical Energy Systems, Volume 2023, Issue 1, 2023., 2023
In order to improve the accuracy of power load forecasting, this paper proposes a neural network‐based short‐term monitoring method. First, the original energy load signal is decomposed by the CEEMDAN algorithm to obtain several eigenmode function components and residual components; several eigenmode function components and residual functions are fed ...
Di Yang, Nagamalai Vasimalai
wiley   +1 more source

Zurück in die Zukunft? Eine literaturbasierte Kritik der Zukunftskompetenzen

, 2023
Future skills are regarded as a solution for current societal and global challenges. In the German political discourse, the concept has been introduced without a proper analysis and critical discussion of prior approaches and evidence of the concept and ...
Marco Kalz
core   +1 more source

[Retracted] The Use of Genetic Algorithm, Multikernel Learning, and Least‐Squares Support Vector Machine for Evaluating Quality of Teaching

Scientific Programming, Volume 2022, Issue 1, 2022., 2022
The educational data mining (EDM) methods are increasingly diversified. In this research, a hybrid method of multikernel learning (MKL), least‐squares support vector machine (LSSVM), and genetic algorithm (GA) is employed to evaluate teaching quality through nine indicators; the reliability of our proposed method is evaluated by confidence interval and
Yingying Yi, Hao Zhang, Hanen Karamti, Shasha Li, Renmei Chen, Huan Yan, Chenguang Wang, Rahman Ali   +7 more
wiley   +1 more source

Providing a Consistent Method to Model the Behavior and Modelling Intrusion Detection Using A Hybrid Particle Swarm Optimization‐Logistic Regression Algorithm

Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022
An intrusion detection system is a collection of instruments, methods, and documentation that aid in identifying, determining, and reporting unwanted or illegal network activity. Intrusion detection systems are built as software and hardware systems, each with its own set of benefits and drawbacks.
Mahdi Ajdani, Azad Noori, Hamidreza Ghaffary, AnMin Fu   +3 more
wiley   +1 more source

Development Research on Integrating CNC Machine Tool with Plasma for Online Surface Heat Treatment

Advances in Materials Science and Engineering, Volume 2021, Issue 1, 2021., 2021
In this study, the plasma was integrated with a lathe, and the online heat treatment was performed to achieve mechanical strength and hardness, to reduce the machining process and handling. However, for online heat treatment of cast iron FC25, it is important to study the parameters of the lathe and plasma, and the research method is used eventually to
Shao-Hsien Chen, Bo-Ting Wang, Fuat Kara
wiley   +1 more source

The Short‐Term Load Forecasting Using an Artificial Neural Network Approach with Periodic and Nonperiodic Factors: A Case Study of Tai′an, Shandong Province, China

Computational Intelligence and Neuroscience, Volume 2021, Issue 1, 2021., 2021
Accurate electricity load forecasting is an important prerequisite for stable electricity system operation. In this paper, it is found that daily and weekly variations are prominent by the power spectrum analysis of the historical loads collected hourly in Tai’an, Shandong Province, China.
Jiuyun Sun, Huanhe Dong, Ya Gao, Yong Fang, Yuan Kong, Heng Liu   +5 more
wiley   +1 more source

A Novel Method for Regional NO2 Concentration Prediction Using Discrete Wavelet Transform and an LSTM Network

Computational Intelligence and Neuroscience, Volume 2021, Issue 1, 2021., 2021
Achieving accurate predictions of urban NO2 concentration is essential for effectively control of air pollution. This paper selected the concentration of NO2 in Tianjin as the research object, concentrating predicting model based on Discrete Wavelet Transform and Long‐ and Short‐Term Memory network (DWT‐LSTM) for predicting daily average NO2 ...
Bingchun Liu, Lei Zhang, Qingshan Wang, Jiali Chen, Paolo Gastaldo   +4 more
wiley   +1 more source