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View article: Exploring Material Design Space with a Deep-Learning Guided Genetic Algorithm
Exploring Material Design Space with a Deep-Learning Guided Genetic Algorithm Open
Designing complex, dynamic yet multi-functional materials and devices is challenging because the design spaces for these materials have numerous interdependent and often conflicting constraints. Taking inspiration from advances in artifici…
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Transformer-Based Feature Learning for Algorithm Selection in Combinatorial Optimisation Open
Given a combinatorial optimisation problem, there are typically multiple ways of modelling it for presentation to an automated solver. Choosing the right combination of model and target solver can have a significant impact on the effective…
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Thematic Analysis Open
As qualitative research becomes increasingly recognized and valued, it is imperative that it is conducted in a rigorous and methodical manner to yield meaningful and useful results. To be accepted as trustworthy, qualitative researchers mu…
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IOP Conference Series: Materials Science and Engineering Open
International Nuclear Science, Technology and Engineering Conference 2021 (iNuSTEC2021) “Nuclear Science and Technology for Socio-economic Development” Universiti Teknologi Malaysia (UTM) Skudai, Johor, Malaysia 10-12 October 2021 Editors …
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The Cambridge Structural Database Open
The Cambridge Structural Database (CSD) contains a complete record of all published organic and metal–organic small-molecule crystal structures. The database has been in operation for over 50 years and continues to be the primary means of …
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Climate Change 2022 – Impacts, Adaptation and Vulnerability Open
The Working Group II contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) provides a comprehensive assessment of the scientific literature relevant to climate change impacts, adaptation and vu…
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Neural Collaborative Filtering Open
10.1145/3038912.3052569
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Deep Learning with Differential Privacy Open
Machine learning techniques based on neural networks are achieving remarkable\nresults in a wide variety of domains. Often, the training of models requires\nlarge, representative datasets, which may be crowdsourced and contain sensitive\ni…
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Quantum cryptography: Public key distribution and coin tossing Open
When elementary quantum systems, such as polarized photons, are used to transmit digital information, the uncertainty principle gives rise to novel cryptographic phenomena unachievable with traditional transmission media, e.g. a communicat…
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Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) Open
At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the shift towards a more algorithmic society. However, e…
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The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research Open
Reproducible science requires transparent reporting. The ARRIVE guidelines (Animal Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve the reporting of animal research. They consist of a checklist of in…
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Deep Learning in Medical Image Analysis Open
This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep learning, are helping to identify, classify, and quantify patterns in medical imag…
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The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 Open
Projections of future climate change play a fundamental role in improving understanding of the climate system as well as characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is the pr…
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On Assessing ML Model Robustness: A Methodological Framework (Academic Track) Open
Due to their uncertainty and vulnerability to adversarial attacks, machine learning (ML) models can lead to severe consequences, including the loss of human life, when embedded in safety-critical systems such as autonomous vehicles. Theref…
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Blockchains and Smart Contracts for the Internet of Things Open
Motivated by the recent explosion of interest around blockchains, we examine whether they make a good fit for the Internet of Things (IoT) sector. Blockchains allow us to have a distributed peer-to-peer network where non-trusting members c…
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Carbon capture and storage (CCS): the way forward Open
Carbon capture and storage (CCS) is vital to climate change mitigation, and has application across the economy, in addition to facilitating atmospheric carbon dioxide removal resulting in emissions offsets and net negative emissions. This …
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Recent developments in Geant4 Open
Geant4 is a software toolkit for the simulation of the passage of particles through matter. It is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space…
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Simple online and realtime tracking Open
This paper explores a pragmatic approach to multiple object tracking where the main focus is to associate objects efficiently for online and realtime applications. To this end, detection quality is identified as a key factor influencing tr…
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The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research Open
Reproducible science requires transparent reporting. The ARRIVE guidelines (Animal Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve the reporting of animal research. They consist of a checklist of in…
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Quantum sensing Open
"Quantum sensing" describes the use of a quantum system, quantum properties, or quantum phenomena to perform a measurement of a physical quantity. Historical examples of quantum sensors include magnetometers based on superconducting quantu…
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R-FCN: Object Detection via Region-based Fully Convolutional Networks Open
We present region-based, fully convolutional networks for accurate and efficient object detection. In contrast to previous region-based detectors such as Fast/Faster R-CNN that apply a costly per-region subnetwork hundreds of times, our re…
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Geometric Deep Learning: Going beyond Euclidean data Open
Many scientific fields study data with an underlying structure that is a\nnon-Euclidean space. Some examples include social networks in computational\nsocial sciences, sensor networks in communications, functional networks in\nbrain imagin…
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Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline Open
In systematic reviews that lack data amenable to meta-analysis, alternative synthesis methods are commonly used, but these methods are rarely reported. This lack of transparency in the methods can cast doubt on the validity of the review f…
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The potential for artificial intelligence in healthcare Open
The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companie…
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Product design and business model strategies for a circular economy Open
The transition within business from a linear to a circular economy brings with it a range of practical challenges for companies. The following question is addressed: What are the product design and business model strategies forcompanies th…
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Instant neural graphics primitives with a multiresolution hash encoding Open
Neural graphics primitives, parameterized by fully connected neural networks, can be costly to train and evaluate. We reduce this cost with a versatile new input encoding that permits the use of a smaller network without sacrificing qualit…
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Hyperledger fabric Open
Fabric is a modular and extensible open-source system for deploying and operating permissioned blockchains and one of the Hyperledger projects hosted by the Linux Foundation (www.hyperledger.org). Fabric is the first truly extensible block…
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Digital communications : fundamentals and applications Open
For courses in Digital Communications. Exceptionally accessible, this book presents the often difficult concepts of digital communications in an easy-to- understand manner-without diluting the mathematical precision. Using a student-friend…
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Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal Open
Objective To review and appraise the validity and usefulness of published and preprint reports of prediction models for prognosis of patients with covid-19, and for detecting people in the general population at increased risk of covid-19 i…
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AGREE—Analytical GREEnness Metric Approach and Software Open
Green analytical chemistry focuses on making analytical procedures more environmentally benign and safer to humans. The amounts and toxicity of reagents, generated waste, energy requirements, the number of procedural steps, miniaturization…