Suggested Topics within your search.
Suggested Topics within your search.
- Study and teaching 7
- Education 6
- English language 6
- Research 6
- Sociolinguistics 5
- Language and languages 4
- Management 4
- Methodology 4
- Psychological tests 4
- Rhetoric 4
- Technique 4
- Academic writing 3
- Advertising 3
- Children 3
- Computer-assisted instruction 3
- Criminal law 3
- Curricula 3
- Education, Elementary 3
- Educational technology 3
- Genetic Phenomena 3
- LANGUAGE ARTS & DISCIPLINES / Communication Studies 3
- LANGUAGE ARTS & DISCIPLINES / Linguistics / General 3
- LANGUAGE ARTS & DISCIPLINES / Linguistics / Sociolinguistics 3
- Law 3
- Mass media 3
- Application software 2
- Classroom environment 2
- Communication in education 2
- Curriculum planning 2
- Digital techniques 2
-
10641
Evaluation and Testing in Operational Environments: Accelerating Development Cycles for Maritime Unmanned Systems
Published 2024-12-01“…This is exacerbated by the fact that we are also witnessing a paradigm change in MUS, from the operation of vehicles to the operation of systems of systems (SoS), delivering unprecedented capabilities and powered by recent developments in artificial intelligence and machine learning. Here, we discuss the impact of these trends on technological and organizational development from the perspective of the increasing role of evaluation and testing in operational environments. …”
Get full text
Article -
10642
Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low Illumination
Published 2019-01-01“…The findings are relevant to a wide range of feature-based vision systems, such as tracking for augmented reality, image registration, localization, and mapping, as well as deep learning-based object detectors. As autonomous mobile robots are expected to operate under low-illumination conditions at night, evaluation is based on state-of-the-art systems for motion estimation, localization, and object detection.…”
Get full text
Article -
10643
Performance and Analysis of FCN, U-Net, and SegNet in Remote Sensing Image Segmentation Based on the LoveDA Dataset
Published 2025-01-01“…This study utilizes the LoveDA dataset to investigate the segmentation performance of three classic deep learning models: Fully Convolutional Networks(FCN), U-Net, and SegNet, in both urban and rural scenarios. …”
Get full text
Article -
10644
INFORMATIONAL AND LIBRARY SUPPORT OF EDUCATIONAL ACTIVITIES AND SCIENTIFIC RESEARCH
Published 2017-07-01“…The MEPhI Library widely uses the new technologies, innovative forms of service such as the sub-system “Textbook provision of the learning process” functioning on the principle of multitasking. …”
Get full text
Article -
10645
Emotion Processing by ERP Combined with Development and Plasticity
Published 2017-01-01“…Emotions, described as dynamically developing along with the growing age, have the possibility to be enhanced through learning (or training) or to be damaged due to disturbances in growth, which is underlain by the neural plasticity of emotion-relevant nervous systems. …”
Get full text
Article -
10646
The Network Global Optimal Mapping Approach Utilizing a Discrete Firefly Optimization Algorithm
Published 2022-01-01“…A global approximation function that keeps learning samples stored is employed. The local map is converted using a set having a respective free rotation. …”
Get full text
Article -
10647
Electromyographic Pattern Analysis and Classification for a Robotic Prosthetic Arm
Published 2006-01-01“…The results show very good separability of classes of movements when a learning pattern classification scheme is used, and a superposition of any composite motion to the three basic primitive motions—humeral rotation in and out, flexion and extension, and pronation and supination. …”
Get full text
Article -
10648
Opportunities and risks: a case study of young urban children’s online life in China
Published 2014-04-01“…Based on these results, it is believed that online life has brought convenience and developmental opportunities to young Chinese children, facilitating their learning and relaxation, but at the same time bringing them risks and crisis, especially the pain resulting from unsuitable content, exposure of privacy and internet addiction. …”
Get full text
Article -
10649
Studentmobilitet for kvalitet i høyere utdanning
Published 2025-02-01“…We conducted qualitative interviews with six coordinators in Zambia and Tanzania to learn from their reflections regarding student mobility from Norway. …”
Get full text
Article -
10650
The perspectives of STEM faculty toward undergraduate mentorship - A case study
Published 2025-02-01Get full text
Article -
10651
The Use of Natural Language Processing Model in Literary Style Analysis of Chinese Text
Published 2025-01-01“…As a promising branch of Machine Learning, NLP focuses on the understanding, generating and analysing of human languages. …”
Get full text
Article -
10652
The neural substrate of navigation using hydrostatic cues in goldfish
Published 2025-02-01“…Unlike other navigational cues in the horizontal plane that usually require learning and memory to determine location, hydrostatic pressure signals the absolute position along the vertical axis. …”
Get full text
Article -
10653
Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms
Published 2014-01-01“…Nevertheless, since training data are often corrupted by outliers, robust learning algorithms employed to resist outliers for interval regression analysis have been an interesting area of research. …”
Get full text
Article -
10654
Can Artificial Intelligence Technology Help Achieving Good Governance: A Public Policy Evaluation Method Based on Artificial Neural Network
Published 2025-01-01“…By leveraging empirical data and a deep learning model based on convolutional neural networks (CNN), the model achieves a high accuracy of 93.40%, surpassing most comparable models. …”
Get full text
Article -
10655
École républicaine et questions socialement vives : la neutralité engagée ?
Published 2022-06-01“…How do teachers engage in teaching-learning these issues ? Three directions, which connected, permit us to understand that the notion of neutrality invites further reflection on that of commitment.…”
Get full text
Article -
10656
Evidence-Based Multidisciplinary Design Optimization with the Active Global Kriging Model
Published 2019-01-01“…The global Kriging model is constructed by introducing a so-called learning function and using actively selected samples in the entire optimization space. …”
Get full text
Article -
10657
Consideration of the Effects of Air Temperature on Structural Health Monitoring through Traffic Light-Based Decision-Making Tools
Published 2018-01-01“…In this study, after analyzing the correlation of resonance frequency values with temperature for one building, we use the data mining method called “association rule learning” (ARL) to predict future frequencies according to temperature measurements. …”
Get full text
Article -
10658
Development of an Inexpensive Sensor Network for Recognition of Sitting Posture
Published 2015-08-01“…The aim of this work is the development of a network of wireless devices to determine, along with a time-stamp, postural changes of users that are to be used in personalized learning environments. For this purpose, we have designed a basic low-cost pressure sensor that can be built from components easily available. …”
Get full text
Article -
10659
Analisis peran identitas gender dalam komunikasi kolaboratif di lingkungan akademik
Published 2024-06-01“…The conclusion emphasizes the importance of considering the role of gender identity in designing inclusive and empowering learning environments. The implications of this research for educational practice and future research directions are also discussed.…”
Get full text
Article -
10660
Policy-focused Stance Detection in Parliamentary Debate Speeches
Published 2022-07-01“…We evaluate a range of approaches to the automatic classification of policy preferences and speech sentiment polarity, including transformer-based text representations and a multi-task learning paradigm. We find that it is possible to identify the policies under discussion using features derived from the speeches, and that incorporating motion-dependent debate modelling, previously used to classify speech sentiment, also improves performance in the classification of policy preferences. …”
Get full text
Article