25 papers · ranked by Valyu relevance
Ali Saberi, Benedict Choi, Sean Wang, Mohsen Naghipourfar + 5 more
Linking DNA sequence to genomic function remains one of the grand challenges in genetics and genomics. Here, we combine large-scale single-molecule transcriptome sequencing of diverse cancer cell lines with cutting-edge machine learning to build LoRNA^SH^, an RNA foundation model that learns how the nucleotide sequence…
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, Kathrin Michel + 4 more
Predicting and monitoring battery life early and across chemistries is a significant challenge due to the plethora of degradation paths, form factors, and electrochemical testing protocols. Existing models typically translate poorly across different electrode, electrolyte, and additive materials, mostly require a fixed…
Moncef Garouani, Franck Ravat, Nathalie Valles-Parlangeau
The rise of artificial intelligence and data science across industries underscores the pressing need for effective management and governance of machine learning (ML) models. Traditional approaches to ML models management often involve disparate storage systems and lack standardized methodologies for versioning, audit…
Moamin Abughazala, Henry Muccini
Architectures Authors: ['Moamin Abughazala' 'Henry Muccini'] Abstract—The complexity of multi-layered, data-intensive systems demands frameworks that ensure flexibility, scalability, and efficiency. DATCloud is a model-driven framework designed to facilitate the modeling, validation, and refinement of multi-layered…
Bassem Ouni, Christophe Aussagues, Saadia Dhouib, Chokri Mraidha + 2 more
'Domenico Balsamo' 'Rishad Shafik'] Sensor-based digital systems for Instrumentation and Control (I&C) of nuclear reactors are quite complex in terms of architecture and functionalities. A high-level framework is highly required to pre-evaluate the system’s performance, check the consistency between different levels of…
Faisal Nissar Malik, James M. Ricles, Masoud Yari, Malik Arsala Nissar
'Malik Arsala Nissar'] Dynamic response evaluation in structural engineering is the process of determining the response of a structure, such as member forces, node displacements, etc when subjected to dynamic loads such as earthquakes, wind, or impact. This is an important aspect of structural analysis, as it enables…
Helle W. van den Maagdenberg, Martin Šícho, David Alencar Araripe, Sohvi Luukkonen + 9 more
Building reliable and robust quantitative structure-property relationship (QSPR) models is a challenging task. First, the experimental data needs to be obtained, analyzed and curated. Second, the number of available methods is continuously growing and evaluating different algorithms and methodologies can be arduous.…
Peter Hillmann, Erik Heiland, Andreas Karcher
—Metadata are like the steam engine of the 21st century, driving businesses and offer multiple enhancements. Nevertheless, many companies are unaware that these data can be used efficiently to improve their own operation. This is where the Enterprise Architecture Framework comes in. It empowers an organisation to get a…
Authors not listed
This research presents a novel approach to obstacle detection during navigation using a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. The primary objective is to generate accurate image captions that describe the content of images, which is crucial for applications such…
Safura Rashid Shomali, Majid Nili Ahmadabadi, Seyyed Nader Rasuli, Hideaki Shimazaki
An appealing challenge in Neuroscience is to identify network architecture from neural activity. A key requirement is the knowledge of statistical input-output relation of single neurons in vivo. Using a recent exact solution of spike-timing for leaky integrate-and-fire neurons under noisy inputs balanced near…
Maha AlFadalat, Wael Al-Azhari
In architecture, context term refers to the surrounding area in which the building is situated. Context is crucial in architectural theory and practice when developing architectural vocabulary. Creating harmony with historic context amidst expanding development has been a primary concern and focus of designers since…
Pedro Henrique Dias Valle, Lina Garcés, Tiago Volpato, Silverio Martínez-Fernández + 2 more
'Silverio Martínez-Fernández' 'Elisa Yumi Nakagawa' 'Antonia Lopes'] Due to the increasing size and complexity of many current software systems, the architectural design of these systems has become a considerately complicated task. In this scenario, reference architectures have already proven to be very relevant to…
Andrew Mair, Lionel X Dupuy, Mariya Ptashnyk
There is strong experimental evidence that root systems substantially change the saturated hydraulic conductivity of soil. However, the mechanisms by which roots affect soil hydraulic properties remain largely unknown. In this work, we made the hypothesis that preferential soil moisture transport occurs along the axes…
Mette Ramsgaard Thomsen
This paper examines how the central contributions of the computational design field can be understood as central steppingstones into an age of sustainability to engage with new renewable, regenerative and restorative material systems. By taking departure in the conceptualisation of an extended digital chain by which…
Jie Lu, Zeyu Zheng, Max Langtry, Monty Jackson + 6 more
Title: Summary Building energy modeling is critical for retrofit design, but it is labor-intensive. We present Data2BEM (Data to Building Energy Model), a large language model-based multi-agent framework that parses architectural drawings, specifications, and sensor data to automatically generate and calibrate building…
Dylan T. Casey, Alexander Sosa, Vitor Mori, Joseph K. Hall + 3 more
Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease where excessive extracellular matrix (ECM) deposition and remodeling stiffens the lung, impeding its function. Many factors are known to contribute to the development of this fibrosis, but a lack of conclusive understanding endures because…
Ricardo Pérez-Castillo, Andrea Delgado, Francisco Ruiz, Virginia Bacigalupe + 1 more
'Virginia Bacigalupe' 'Mario Piattini'] Enterprise architecture has become an important driver to facilitate digital transformation in companies, since it allows to manage IT and business in a holistic and integrated manner by establishing connections among technology concerns and strategical/motivational ones.…
Arjen van der Heide
The existing literature on modelling provides two main ways of viewing model migration: a modular view, which seeks to decompose models in their constitutive elements, and thus provides a view on what it is that migrates; and a practice-based view, which focuses on modelling as an activity, and understands a model as…
Christopher Schölzel, Valeria Blesius, Gernot Ernst, Andreas Dominik
Reproducible, understandable models that can be reused and combined to true multi-scale systems are required to solve the present and future challenges of systems biology. However, many mathematical models are still built for a single purpose and reusing them in a different context can be challenging due to an…
Philipp Geyer, Manav Mahan Singh, Xia Chen
—Data-driven models created by machine learning gain in importance in all fields of design and engineering. They have high potential to assists decision-makers in creating novel artefacts with better performance and sustainability. However, limited generalization and the black-box nature of these models lead to limited…
Samantha Durdy, Cameron J. Hargreaves, Mark Dennison, Benjamin Wagg + 5 more
The discovery of new materials often requires collaboration between experimental and computational chemists. Web based platforms allow more flexibility in this collaboration by giving access to computational tools without the need for access to computational researchers. We present Liverpool Materials Discovery Server…
Authors not listed
Architecture Knowledge Management (AKM) is crucial for maintaining current and comprehensive software Architecture Knowledge (AK) in a software project. However AKM is often a laborious process and is not adopted by developers and architects. While LLMs present an opportunity for automation, a naive, single-prompt…
Xinwei Zhuang, Zixun Huang, Wentao Zeng, Luisa Caldas
Building archetypes, representative models of building stock, are crucial for precise energy simulations in Urban Building Energy Modeling. The current widely adopted building archetypes are developed on a nationwide scale, potentially neglecting the impact of local buildings' geometric specificities. We present…
Kevin Maik Jablonka, Andrew S. Rosen, Aditi S. Krishnapriyan, Berend Smit
The space of all plausible materials for a given application is so large that it cannot be explored using a brute-force approach. This is, in particular, the case for reticular chemistry which provides materials designers with a practically infinite playground on different length scales. One promising approach to guide…
Authors not listed
Accelerating computational materials science relies not only on hardware advances but also on software that increases the ease of working with the relevant abstractions. Creation and manipulation of crystal structures is a part of many routine materials science workflows. In this work, we demonstrate how fine tuning…