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HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events
Along with the development of modern smart cities, human-centric video analysis has been encountering the challenge of analyzing diverse and complex...
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Large-Scale Patterns
The fourth block of analysis patterns we cover is Large-Scale Patterns. They are about the coarse grain structure of software traces and logs where...
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Large-Scale Agile Frameworks
If the criteria summarized in the Scaled Agile/Large-Scale Agile Development section apply to your organization, a Large-Scale Agile framework...
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Large-Scale Agile Frameworks
Wenn die im Abschnitt Scaled Agile/Large-Scale Agile Development zusammengefassten Kriterien auf Ihre Organisation zutreffen, bietet Ihnen ein...
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Responding to change over time: A longitudinal case study on changes in coordination mechanisms in large-scale agile
ContextResponding to change and continuously improving processes, practices, and products are core to agile software development. It is no different...
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VSAN: A new visualization method for super-large-scale academic networks
As a carrier of knowledge, papers have been a popular choice since ancient times for documenting everything from major historical events to...
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Large-Scale Commonsense Knowledge for Default Logic Reasoning
Commonsense reasoning (CSR) is the ability to reason about everyday situations. In artificial intelligence systems, such reasoning requires extensive...
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Artificial Intelligence and Large-Scale Threats to Humanity
This chapter provides a concise introduction to the impact of artificial intelligence (AI) on major man-made, large-scale threats to humanity: the...
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A deep learning approach for anomaly detection in large-scale Hajj crowds
Hajj is an annual Islamic event attended by millions of pilgrims every year from around the globe. It is considered to be the biggest religious event...
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Spatial-Based Big Data and Large-Scale Network Management
Handling of location (spatial)- and time (temporal)-based data is enormous since they are represented as images, videos, and audio. There must be...
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TAE: Topic-aware encoder for large-scale multi-label text classification
Convolutional neural networks, recurrent neural networks, and transformers have excelled in representation learning for large-scale multi-label text...
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Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
With the urgent demand for generalized deep models, many pre-trained big models are proposed, such as bidirectional encoder representations (BERT),...
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Double firefly based efficient clustering for large-scale wireless sensor networks
Clustering is one of the most important approaches used to extend the lifetime of Wireless Sensor Networks (WSN). The fundamental metric taken by...
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Investigating Effort Estimation in a Large-Scale Agile ERP Transformation Program
Adaptability is vital in today’s rapidly changing business environment, especially within IT. Agile methodologies have emerged to meet this demand...
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Large-scale digital signatures of emotional response to the COVID-19 vaccination campaign
The same individuals can express very different emotions in online social media with respect to face-to-face interactions, partially because of...
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A Large-scale Analysis of Athletes’ Cumulative Race Time in Running Events
Action recognition models and cumulative race time (CRT) are practical tools in sports analytics, providing insights into athlete performance,...
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Challenges and Solutions in Large-Scale News Recommenders
This paper describes the main challenges and solutions adopted in large-scale production news recommenders in Grupo Globo, the biggest Latin American...
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Analysing environmental impact of large-scale events in public spaces with cross-domain multimodal data fusion
In this study, we demonstrate how we can quantify environmental implications of large-scale events and traffic (e.g., human movement) in public...
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A large-scale holistic measurement of crowdsourced edge cloud platform
Edge clouds have become a de-facto paradigm to deliver low and stable networks to delay-critical applications such as Web services and AR/VR. A...
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LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening
BackgroundDrug-target interaction (DTI) is a vital drug design strategy that plays a significant role in many processes of complex diseases and...
