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DaCo: domain-agnostic contrastive learning for visual place recognition
Visual place recognition is a core component of visual information analysis, which serves for the position and orientation perception of autonomous...
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Future-Present Learning in Place: Postdigital Learning at the Scale of the City
This paper critically reflects on future-present learning in place situated in the context of postdigital learning at the scale of the city [1]. The...
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Grasp Pose Estimation for Pick and Place of Frozen Blood Bags Based on Point Cloud Processing and Deep Learning Strategies Using Vacuum Grippers
We describe different strategies to compute grasp poses for vacuum grippers for pick and place of frozen blood bags. Our methods process RGB-D data...
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Sequential visual place recognition using semantically-enhanced features
The problem of visual place recognition enables a vehicle to identify the place that it is currently at; that can be used to localize the vehicle...
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An in-place ABN-based denoiser for medical images
Noise in medical images can degrade the quality of the image and make it difficult to interpret. Denoising algorithms have been commonly used to...
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Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-Place
When transferring a Deep Reinforcement Learning model from simulation to the real world, the performance could be unsatisfactory since the simulation...
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Using learning analytics to explore peer learning patterns in asynchronous gamified environments
This study explored the dynamics of students' knowledge co-construction in an asynchronous gamified environment in higher education, focusing on peer...
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Using multimodal learning analytics to model students’ learning behavior in animated programming classroom
Studies examining students’ learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge...
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3D point cloud-based place recognition: a survey
Place recognition is a fundamental topic in computer vision and robotics. It plays a crucial role in simultaneous localization and map** (SLAM)...
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VR-assisted inquiry-based learning to promote students’ science learning achievements, sense of presence, and global perspectives
Due to globalization, emerging technologies, and the knowledge economy, there has been a growing emphasis on students having global competencies and...
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FUSE: a federated learning and U-shape split learning-based electricity theft detection framework
In this study, we propose a novel theft detection framework named FUSE. Firstly, we introduce a new variant of split learning named three-tier...
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Learning what to memorize: Using intrinsic motivation to form useful memory in partially observable reinforcement learning
Reinforcement Learning faces an important challenge in partially observable environments with long-term dependencies. In order to learn in an...
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Digital literacies, social media, and undergraduate learning: what do students think they need to know?
This research addresses an identified need to further understand digital literacies (DL) and whether undergraduate students view DL as being...
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Psychological Service Design: From Consulting Space to Experience Place
Through case analysis of changes in mental health counseling methods both domestically and internationally, a multidimensional quadrant model for the...
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Patchlpr: a multi-level feature fusion transformer network for LiDAR-based place recognition
LiDAR-based place recognition plays a crucial role in autonomous vehicles, enabling the identification of locations in GPS-invalid environments that...
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Introduction to Machine Learning
The chapter briefly introduces machine learning, its definition, workflow steps, jargon, and distinction from closely related fields such as...
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Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems
Modern machine learning (ML) systems commonly use stochastic gradient descent (SGD) to train ML models. However, SGD relies on random data order to...
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A deep learning based approach for classifying tweets related to online learning during the Covid-19 pandemic
The majority of educational institutions around the world have switched to online learning due to the COVID-19 pandemic. Since continuing education...
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A concept map-based community of inquiry framework for virtual learning contexts to enhance students’ earth science learning achievement and reflection tendency
With the growing popularity of Virtual Reality (VR), the integration of the Community of Inquiry (CoI) framework provides insights into its role in...
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An Analysis of Plant Diseases on Detection and Classification: From Machine Learning to Deep Learning Techniques
Plants are acknowledged as being crucial because they are the main source of human energy generation due to their nutritional, therapeutic, and other...
