1,005 Result(s)
within
Computer Science
Information Systems Applications (incl. Internet)
Ben Ep**er
Conference Paper
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Chapter and Conference Paper
Building Information Model and Safety Requirements for Spatial Program Validation
The extensive use of digital mock-up and Building Information Models software packages is now within the reach of most practitioners in the Architecture
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Chapter and Conference Paper
Power Awareness in Low Precision Neural Networks
Existing approaches for reducing DNN power consumption rely on quite general principles, including avoidance of multiplication operations and aggressive quantization of weights and activations. However, these ...
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Chapter and Conference Paper
Towards a Software Development Framework for Interconnected Science Ecosystems
The innovative science of the future must be multi-domain and interconnected to usher in the next generation of “self-driving” laboratories enabling consequential discoveries and transformative inventions. Suc...
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Chapter and Conference Paper
RMLStreamer-SISO: An RDF Stream Generator from Streaming Heterogeneous Data
Stream-reasoning query languages such as CQELS and C-SPARQL enable query answering over RDF streams. Unfortunately, there currently is a lack of efficient RDF stream generators to feed RDF stream reasoners. St...
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Chapter and Conference Paper
STEEX: Steering Counterfactual Explanations with Semantics
As deep learning are increasingly used in safety-critical applications, explainability and trustworthiness become major concerns. For simple images, such as low-resolution face portraits, synthesizing visual...
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Chapter and Conference Paper
Groupwise Query Performance Prediction with BERT
While large-scale pre-trained language models like BERT have advanced the state-of-the-art in IR, its application in query performance prediction (QPP) is so far based on pointwise modeling of individual queri...
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Chapter and Conference Paper
Using Garbled Circuit for Secure Brokering
Many domains such as military and agriculture collect data from sensors and other trusted applications, process them, and distribute them according to predetermined rules to interested entities. These systems ...
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Chapter and Conference Paper
Position-Pose Measurement Algorithm Based on Geometrical Characteristics
Based on the geometrical characteristics, this paper proposes a position-pose measurement algorithm with the non-feature point data of the cooperative target. This method only needs to project six parallel las...
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Chapter and Conference Paper
Evaluating the Expectations and Motivational Drivers in an Undergraduate Geology Classroom Using the Magma Pop Serious Game
Game-based learning is becoming increasingly prevalent in higher education as it fosters critical thinking, creative problem solving, and ensures cognitive development and social learning. This paper presents ...
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Chapter and Conference Paper
Energy Inefficacy in IoT Networks: Causes, Solutions and Enabling Techniques
The Internet of things (IoT) concept can be generally described as the ability of machines to communicate via the Internet to perform tasks. In addition to the communication between devices, humans can remotel...
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Chapter and Conference Paper
Exploring Aspects of Agile Software Development Risk – Results from a MLR
Agile software development methods are widely used by software organisations, focusing on short developmental life cycles and customer satisfaction through the iterative and incremental development of software...
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Chapter and Conference Paper
Active Learning Using Difficult Instances
Active learning systems achieve high accuracy with a low labeling budget by annotating high utility instances incrementally. In uncertainty sampling, labels of instances with maximal uncertainty are queried; h...
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Chapter and Conference Paper
Incorporating Ranking Context for End-to-End BERT Re-ranking
Ranking context has been shown crucial for the performance of learning to rank. Its use for the BERT-based re-rankers, however, has not been fully explored. In this work, an end-to-end BERT-based ranking model...
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Chapter and Conference Paper
Predicting Patient’s Waiting Times in Emergency Department: A Retrospective Study in the CHIC Hospital Since 2019
Predicting patient waiting times in public emergency department rooms (EDs) has relied on inaccurate rolling average or median estimators. This inefficiency negatively affects EDs resources and staff managemen...
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Chapter and Conference Paper
BPMN4SBP for Multi-dimensional Modeling of Sensitive Business Processes
This research article proposes a conceptual solution for the Sensitive Business Processes (SBPs). It aims at systematically develo** a valid and rigorous BPMN extension, called “BPMN4SBP”, supporting the mul...
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Chapter and Conference Paper
Res-GAN: Residual Generative Adversarial Network for Coronary Artery Segmentation
Segmentation of coronary arteries in X-ray angiograms is a crucial step in the assessment of coronary disease. Recently, many automatic approaches have been proposed to minimize time-consuming clinicians inter...
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Chapter and Conference Paper
Evolutionary Optimization for CNN Compression Using Thoracic X-Ray Image Classification
Computer Vision, as an area of Artificial Intelligence, has recently achieved success in tackling numerous difficult challenges in health care and has the potential to contribute to the fight against several l...
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Chapter and Conference Paper
Adaptive Method of Position-Pose for the Robot to Locate the End face’s Hole of the Blade
In order to realize the automatic measurement and positioning drilling of the end face’s hole of the turbine blade, a system of automatic measurement, positioning and drilling is built by using a binocular vis...
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Chapter and Conference Paper
Convolutional Neural Network Approach for Multiple Sclerosis Lesion Segmentation
Nowadays Deep Learning (DL) based automatic segmentation has outperformed traditional methods. In the present paper, we are interested in automatic MS lesion segmentation of 2D images based on DL techniques. T...
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Chapter and Conference Paper
Learning Profiles to Assess Educational Prediction Systems
Distance learning institutions record a high failure and dropout rate every year. This phenomenon is due to several reasons such as the total autonomy of learners and the lack of regular monitoring. Therefore,...
