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Dynamic optimisation occurs in a variety of real-world problems. To tackle these problems, evolutionary algorithms have been extensively used due to their effectiveness and minimum design effort. However, for dynamic problems, extra…

Neural and Evolutionary Computing · Computer Science 2020-08-11 Maryam Hasani Shoreh , Renato Hermoza Aragonés , Frank Neumann

The Internet-of-Things (IoT) is a revolutionary technology that is rapidly changing the world. IoT systems strive to provide automated solutions for almost every life aspect; traditional devices are becoming connected, ubiquitous,…

Signal Processing · Electrical Eng. & Systems 2020-01-24 Issam Damaj , Safaa Kasbah

There is great promise in creating effective technology experiences during situationally-induced impairments and disabilities through the combination of universal design and adaptive interfaces. We believe this combination is a powerful…

Human-Computer Interaction · Computer Science 2019-04-15 Aaron Steinfeld , John Zimmerman , Anthony Tomasic

Software design is crucial to successful software development, yet is a demanding multi-objective problem for software engineers. In an attempt to assist the software designer, interactive (i.e. human in-the-loop) meta-heuristic search…

Software Engineering · Computer Science 2014-06-24 Christopher L. Simons , Jim Smith , Paul White

Robots are increasingly operating in indoor environments designed for and shared with people. However, robots working safely and autonomously in uneven and unstructured environments still face great challenges. Many modern indoor…

Autonomous 3D acquisition of outdoor environments poses special challenges. Different from indoor scenes, where the room space is delineated by clear boundaries and separations (e.g., walls and furniture), an outdoor environment is spacious…

Robotics · Computer Science 2020-12-24 Pengdi Huang , Liqiang Lin , Kai Xu , Hui Huang

Design space exploration is an important but costly step involved in the design/deployment of custom architectures to squeeze out maximum possible performance and energy efficiency. Conventionally, optimizations require iterative sampling…

Machine Learning · Computer Science 2021-08-20 Ananda Samajdar , Jan Moritz Joseph , Matthew Denton , Tushar Krishna

When robots entered our day-to-day life, the shared space surrounding humans and robots is critical for effective Human-Robot collaboration. The design of shared space should satisfy humans' preferences and robots' efficiency. This work…

Robotics · Computer Science 2023-03-22 Jixuan Zhi , Jyh-Ming Lien

We present novel algorithms for design and design space exploration. The designs discovered by these algorithms are compositions of function types specified in component libraries. Our algorithms reduce the design problem to quantified…

Artificial Intelligence · Computer Science 2021-02-02 Alexander Feldman , Johan de Kleer , Ion Matei

A primary motivation for our research in digital ecosystems is the desire to exploit the self-organising properties of biological ecosystems. Ecosystems are thought to be robust, scalable architectures that can automatically solve complex,…

Neural and Evolutionary Computing · Computer Science 2009-10-06 G. Briscoe , P. De Wilde

Designers of online deliberative platforms aim to counter the degrading quality of online debates. Support technologies such as machine learning and natural language processing open avenues for widening the circle of people involved in…

Artificial Intelligence · Computer Science 2023-02-22 Ruth Shortall , Anatol Itten , Michiel van der Meer , Pradeep K. Murukannaiah , Catholijn M. Jonker

Designing adaptive documents that are visually appealing across various devices and for diverse viewers is a challenging task. This is due to the wide variety of devices and different viewer requirements and preferences. Alterations to a…

Human-Computer Interaction · Computer Science 2024-10-22 Yue Jiang , Christof Lutteroth , Rajiv Jain , Christopher Tensmeyer , Varun Manjunatha , Wolfgang Stuerzlinger , Vlad Morariu

This paper presents a methodology and software tools for parametric design of complex architectural objects, called digital or algorithmic forms. In order to provide a flexible tool, the proposed design philosophy involves two open source…

Computational Engineering, Finance, and Science · Computer Science 2015-03-20 Ladislav Svoboda , Jan Novák , Lukáš Kurilla , Jan Zeman

Understanding design decisions in relation to the future occupants of a building is a crucial part of good design. However, limitations in tools and expertise hinder meaningful human-centric decisions during the design process. In this…

Graphics · Computer Science 2021-05-12 Mathew Schwartz

We propose DOME, a diffusion-based world model that predicts future occupancy frames based on past occupancy observations. The ability of this world model to capture the evolution of the environment is crucial for planning in autonomous…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Songen Gu , Wei Yin , Bu Jin , Xiaoyang Guo , Junming Wang , Haodong Li , Qian Zhang , Xiaoxiao Long

Complexity is often seen as a inherent negative in information design, with the job of the designer being to reduce or eliminate complexity, and with principles like Tufte's "data-ink ratio" or "chartjunk" to operationalize minimalism and…

In architectural interior design, miscommunication frequently arises as clients lack design knowledge, while designers struggle to explain complex spatial relationships, leading to delayed timelines and financial losses. Recent advancements…

Artificial Intelligence · Computer Science 2026-03-17 Ren Jian Lim , Rushi Dai

Designing civil structures such as bridges, dams or buildings is a complex task requiring many synergies from several experts. Each is responsible for different parts of the process. This is often done in a sequential manner, e.g. the…

Optimization and Control · Mathematics 2023-12-07 Atul Agrawal , Erik Tamsen , Phaedon-Stelios Koutsourelakis , Joerg F. Unger

In real-world applications, users often favor structurally diverse design choices over one high-quality solution. It is hence important to consider more solutions that decision makers can compare and further explore based on additional…

Machine Learning · Computer Science 2025-04-02 Maria Laura Santoni , Elena Raponi , Aneta Neumann , Frank Neumann , Mike Preuss , Carola Doerr

Mobile systems are embracing heterogeneous architectures by getting more types of cores and more specialized cores, which allows applications to be faster and more efficient. We aim at exploiting the hardware heterogeneity from the browser…

Other Computer Science · Computer Science 2012-12-21 Zhen Wang , Felix Xiaozhu Lin , Lin Zhong , Mansoor Chishtie
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