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The concept bottleneck model (CBM) is an interpretable-by-design framework that makes decisions by first predicting a set of interpretable concepts, and then predicting the class label based on the given concepts. Existing CBMs are trained…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Andong Tan , Fengtao Zhou , Hao Chen

Cloud computing is making it possible to separate the process of building an infrastructure for service provisioning from the business of providing end user services. Today, such infrastructures are normally provided in large data centres…

Cryptography and Security · Computer Science 2012-10-11 K. Saravanan , S. Akshaya , R. Pavithra , K. Pushpavalli

Continuous Integration (CI) is a widely adopted practice for faster code change integration and testing. Developers often migrate between CI systems in pursuit of features like matrix building or better logging. However, this migration is…

Software Engineering · Computer Science 2024-07-04 Dhia Elhaq Rzig , Alaa Houerbi , Chungha Sung , Foyzul Hassan

Cloud Computing is a versatile technology that can support a broad-spectrum of applications. The low cost of cloud computing and its dynamic scaling renders it an innovation driver for small companies, particularly in the developing world.…

Computers and Society · Computer Science 2019-08-13 Ananga Thapaliya , Subham Chakraborty

Cloud native information systems engineering enables scalable and resilient service infrastructures for all major online offerings. These are built following agile development practices. At the same time, a growing demand for…

Software Engineering · Computer Science 2022-09-26 Elias Grünewald

The development of critical systems is becoming more and more complex. The overall tendency is that development costs raise. In order to cut cost of development, companies are forced to build systems from proven components and larger new…

Software Engineering · Computer Science 2016-05-25 Aleksander Lodwich , Jose María Alvarez-Rodríguez

Cloud infrastructure supports the efficient operation of data pipelines regarding requirements like cost, speed, and resource utilization. We present an integrated view of optimization opportunities for cloud-based data pipelines by…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-03 Johannes Jablonski , Georg-Daniel Schwarz , Philip Heltweg , Dirk Riehle

Here we describe two approaches to improve group information management (GIM) and draw on the results of prior works to implement them in software prototypes. The first aids browsing and retrieving from large and unfamiliar collections like…

Human-Computer Interaction · Computer Science 2022-09-27 Jesse David Dinneen , Sascha Donner , Helen Bubinger , Jwen Fai Low , Maja Krtalić

One of the greatest sources of uncertainty in future climate projections comes from limitations in modelling clouds and in understanding how different cloud types interact with the climate system. A key first step in reducing this…

Atmospheric and Oceanic Physics · Physics 2022-10-17 Valentina Zantedeschi , Fabrizio Falasca , Alyson Douglas , Richard Strange , Matt J. Kusner , Duncan Watson-Parris

The Mediation Information System Engineering project is currently finishing its second iteration (MISE 2.0). The main objective of this scientific project is to provide any emerging collaborative situation with methods and tools to deploy a…

Software Engineering · Computer Science 2015-10-01 Frederick Benaben , Wenxin Mu , Nicolas Boissel-Dallier , Anne-Marie Barthe-Delanoë , Sarah Zribi , Herve Pingaud

While previous work exists on how to conduct and disseminate insights from problem-driven visualization projects and design studies, the literature does not address how to accomplish these goals in transdisciplinary teams in ways that…

Scientific research increasingly depends on robust and scalable IT infrastructures to support complex computational workflows. With the proliferation of services provided by research infrastructures, NRENs, and commercial cloud providers,…

Cloud Computing (CC) is a model for enabling on-demand access to a shared pool of configurable computing resources. Testing and evaluating the performance of the cloud environment for allocating, provisioning, scheduling, and data…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-01-09 Ahmed H. Abase , Mohamed H. Khafagy , Fatma A. Omara

Cooperative Intelligent Transport System (C-ITS) is a promising network to provide safety, efficiency, sustainability, and comfortable services for automated vehicles and road infrastructures by taking advantages from participants. However,…

Machine Learning · Computer Science 2021-10-19 Qimei Chen , Zehua You , Hao Jiang

Unified multimodal models (UMMs) are emerging as strong foundation models that can do both generation and understanding tasks in a single architecture. However, they are typically trained in centralized settings where all training and…

Machine Learning · Computer Science 2026-01-23 Zhaolong Su , Leheng Zhao , Xiaoying Wu , Ziyue Xu , Jindong Wang

With the increase in the availability of Building Information Models (BIM) and (semi-) automatic tools to generate BIM from point clouds, we propose a world model architecture and algorithms to allow the use of the semantic and geometric…

Supply chain security is extremely important for modern applications running at scale in the cloud. In fact, they involve a large number of heterogeneous microservices that also include third-party software. As a result, security…

Cryptography and Security · Computer Science 2025-10-08 Jacopo Bufalino , Mario Di Francesco , Agathe Blaise , Stefano Secci

Computing as you know it is about to change, your applications and documents are going to move from the desktop into the cloud. I'm talking about cloud computing, where applications and files are hosted on a "cloud" consisting of thousands…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-03-23 Shivaji P. Mirashe , N. V. Kalyankar

Processing-in-memory (PIM) architectures bring computation closer to data, reducing the processor-memory transfer bottleneck in traditional processor-centric designs. Novel hardware solutions, such as UPMEM's in-memory processing…

Emerging Technologies · Computer Science 2026-04-10 Peterson Yuhala , Mpoki Mwaisela , Pascal Felber , Valerio Schiavoni

With the promise of accelerating software development, low-code platforms (LCPs) are becoming popular across various industries. Nevertheless, there are still barriers hindering their adoption. Among them, vendor lock-in is a major concern,…

Software Engineering · Computer Science 2024-12-09 Iván Alfonso , Aaron Conrardy , Jordi Cabot
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