Normalization techniques have been extensively utilized in deep learning due to their ability to enable higher learning rates and reduce the sensitivity to initialization. However, the effectiveness of commonly used n...
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In recent years, there has been considerable effort to promote gender balance in the academic environment of computerscience (CS). However, there is still a gender gap at all CS academic levels: from students, to PhD...
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ISBN:
(纸本)9783031358968;9783031358975
In recent years, there has been considerable effort to promote gender balance in the academic environment of computerscience (CS). However, there is still a gender gap at all CS academic levels: from students, to PhD candidates, to faculty members. This general trend is followed by the Department of computerscience at UiT The Arctic University of Norway. To combat this trend within the CS environment at UiT, we embarked on structured discussions with students of our department. After analyzing the data collected from these discussions, we were able to identify action items that could mitigate the existing gender gap at our department. In particular, these discussions elucidated ways to achieve (i) a balanced flow of students into CS undergraduate program, (ii) a balanced CS study environment, and (iii) a balanced flow of graduates into higher levels of the CS academia (e.g., PhD program). This paper presents the results of the discussions and the subsequent recommendations that we made to the administration of the department. We also provide a road-map that other institutions could follow to organize similar events as part of their gender-balance action plan.
Dynamic Symmetric Searchable Encryption (DSSE) enables secure storage of encrypted data on a cloud server while supporting dynamic updates and keyword searches. Two key security concepts, forward privacy and backward ...
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Detecting small targets in remote sensing imagery is frequently impeded by target faintness and complex background, resulting in reduced accuracy. This work introduces an Enhanced Small Target Detection method, termed...
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Venom is a deadly adaptation that helps organisms thrive, but can also be separated into peptides and proteins with medically-relevant effects. Researchers studying venom have successfully used their understanding of ...
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ISBN:
(纸本)9783031741371;9783031741388
Venom is a deadly adaptation that helps organisms thrive, but can also be separated into peptides and proteins with medically-relevant effects. Researchers studying venom have successfully used their understanding of these molecules to create drugs to treat health problems in humans. Inspired this field of study, Venom CoLab is a collaborative science experience for students in 6th to 8th grade (ages 11-14), where students take on roles as scientists. By completing activities on a website and in augmented reality (AR), each group studies a venomous organism (cone snails, scorpions, snakes, or sea anemones) to find new molecules to treat health problems such as pain, cancer, blood clotting, or autoimmune diseases. This demonstration will highlight how the project uses the website and augmented reality to support collaboration, implement interactive activities, and feature real scientists describing their work to encourage students' interest and build skills in science.
The stable marriage problem has wide applications in distributed computing such as the placement of virtual machines in a distributed system. The stable marriage problem requires one to find a marriage with no blockin...
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(Extended Abstract) While most previous research focused only on the textual content of documents, advanced support for document management in Digital Libraries, for Open science, requires handling all aspects of a do...
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ISBN:
(纸本)9783031438486;9783031438493
(Extended Abstract) While most previous research focused only on the textual content of documents, advanced support for document management in Digital Libraries, for Open science, requires handling all aspects of a document: from structure, to content, to context. These different but inter-related aspects cannot be handled separately, and were traditionally ignored in Digital Libraries. We propose a graph-based unifying representation and handling model based on the definition of an ontology that integrates all the different perspectives and drives the document description in order to boost the effectiveness of document management. We also show how even simple algorithms can profitably use our proposed approach to return relevant and personalized outcomes in different document management tasks.
Prompt Tuning (PT) efficiently adapts pre-trained models to downstream tasks. Recent studies have suggested incorporating prompt tuning into the framework of federated learning. This paper aims to answer "whether...
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In vehicular ad hoc networks, few existing works on task offloading focus on co-offloading at intra-vehicle level and inter-vehicle level for deep neural network (DNN) inference. Moreover, they ignore the decentralize...
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Low-quality 3D face recognition (FR) is a crucial application in human-computer interaction. However, it is sensitive to changes in 3D shapes and textures caused by time, resulting in poorer recognition performan...
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