26 papers · ranked by Valyu relevance
Cem Ünsalan
Features Authors: ['Cem Ünsalan'] Surface quality is an extremely important issue for wood products in the market. Although quality inspection can be made by a human expert while manufacturing, this operation is prone to errors. One possible solution may be using standard machine vision techniques to automatically…
William Pilcher, Xingyu Yang, Anastasia Zhurikhina, Olga Chernaya + 3 more
With the ever-increasing quality and quantity of imaging data in biomedical research comes the demand for computational methodologies that enable efficient and reliable automated extraction of the quantitative information contained within these images. One of the challenges in providing such methodology is the need for…
Hasan M. Sayeed, Sterling G. Baird, Taylor D. Sparks
Capturing structure-property relationships of materials for property prediction using machine learning requires the representation or featurization of the structural aspects of materials at different levels, including atomic, crystal, and microscales. While crystal structure-based modeling techniques are effective for…
Jake Silberg, Elana Simon, James Zou
Protein Language Models (PLMs) create high-dimensional embeddings that can be transformed into interpretable sparse features using Sparse Autoencoders (SAEs), where each feature activates on specific protein elements or patterns. However, scalably identifying which features are cohesive and reliable enough for protein…
Jose Cleydson F. Silva, Layla Schuster, Nick Sexson, Melissa Erdem + 4 more
Characterizing protein families’ structural and functional diversity is essential for understanding their biological roles. Traditional analyses often focus on primary and secondary structures, which may not fully capture complex protein interactions. Here we introduce InteracTor, a novel toolkit that extracts…
Authors not listed
Traditional and non-classical machine learning models for solid-state structure prediction have predominantly relied on compositional features (derived from properties of constituent elements) to predict the existence of structure and its properties. However, the lack of structural information can be a source of…
Authors not listed
When producing plant-protein-based meat analogues via high moisture extrusion (HME), the structure of extrudates is determined by complex interactions between ingredient composition and processing conditions. To facilitate consumers in their transition towards a diet higher in plant-based proteins, the food industry…
Paweł Pięta, Anders Bjorholm Dahl, Jeppe Revall Frisvad, Siavash Arjomand Bigdeli + 1 more
'Siavash Arjomand Bigdeli' 'Anders Nymark Christensen'] ABSTRACT The structure tensor method is often used for 2D and 3D analysis of imaged structures, but its results are in many cases very dependent on the user's choice of method parameters. We simplify this parameter choice in first order structure tensor…
Inbal Halperin, Dariya S Glazer, Shirley Wu, Russ B Altman
Structural genomics efforts contribute new protein structures that often lack significant sequence and fold similarity to known proteins. Traditional sequence and structure-based methods may not be sufficient to annotate the molecular functions of these structures. Techniques that combine structural and functional…
Enrique R. Sebastian, Julio Esparza, Liset M de la Prida
Identifying the structured distribution (or lack thereof) of a given feature over a point cloud is a general research question. In the neuroscience field, this problem arises while investigating representations over neural manifolds (e.g., spatial coding), in the analysis of neurophysiological signals (e.g., auditory…
Sebastian Bittrich, Stephen K. Burley, Alexander S. Rose
Biochemical and biological functions of proteins are the product of both the overall fold of the polypeptide chain, and, typically, structural motifs made up of smaller numbers of amino acids constituting a catalytic center or a binding site. Detection of such structural motifs can provide valuable insights into the…
Karel Ráž, Zdeněk Chval, Mathis Pereira, Weidong Song
Lattice structures, characterized by their repetitive, interlocking patterns, provide an efficient balance of strength, flexibility, and reduced weight, making them essential in fields such as aerospace and automotive engineering. These structures use minimal material while effectively distributing stress, providing…
Ruizhi Zhang, Sohan Seth, James Cumby
Determining how similar two materials are in terms of both atomic composition and crystallographic structure remains a challenge, the solution of which would enable generalised machine learning using crystal structure data. We demonstrate a new method of describing crystal structures based on interatomic distances…
Firas Breish, Christian Hamm, Simone Andresen, Shupeng Wang + 2 more
'Pengyun Xu' 'Yangyang Wei'] Biological structures optimized through natural selection provide valuable insights for engineering load-bearing components. This paper reviews six key strategies evolved in nature for efficient mechanical load handling: hierarchically structured composites, cellular structures, functional…
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…
Sangjoon Lee, Clio Chen, Griheydi Garcia, Anton Oliynyk
Materials informatics uses data-driven approaches for the study and discovery of materials. Features or descriptors are the crucial components in generating reliable and accurate machine-learning models. While general data can be acquired through public and commercial sources, features must be tailored for a specific…
Ladislav Svoboda, Jan Novák, Lukáš Kurilla, Jan Zeman
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 utilities Donkey and MIDAS written in Grasshopper algorithm editor and C++…
Minghui Gu, Liming Duan, Maolin Wang, Yang Bai + 4 more
'Haoyu Wang' 'Fenglin Liu' 'Li Zeng'] The objective of this paper is to extract concave and convex feature regions via segmenting surface mesh of a mechanical part whose surface geometry exhibits drastic variations and concave-convex features are equally important when modeling. Referring to the original approach based…
Sung-Wook Hwang, Junji Sugiyama
The remarkable developments in computer vision and machine learning have changed the methodologies of many scientific disciplines. They have also created a new research field in wood science called computer vision-based wood identification, which is making steady progress towards the goal of building automated wood…
Zhou Wen, Ming Li, George Kenanakis, Antonino Recca
Bionic design is considered a promising approach to improve the performance of lattice structures. In this work, bamboo-inspired cubic and honeycomb lattice structures with graded strut diameters were designed and manufactured by 3D printing. Uniform lattice structures were also designed and fabricated for comparison.…
Adrien Gallet, Samuel E. Rigby, Tyler N. Tallman, Xiangxiong Kong + 6 more
'Iman Hajirasouliha' 'A.C. Liew' 'Dong Liu' 'Liang Chen' 'Andreas Hauptmann' 'Danny Smyl'] The field of structural engineering is vast, spanning areas from the design of new infrastructure to the assessment of existing infrastructure. From the onset, traditional entry-level university courses teach students to analyse…
Chantal Nguyen, Darin Peetz, Ahmed Elbanna, Jean M. Carlson
Designing strong and robust bio-inspired structures requires an understanding of how function arises from the architecture and geometry of materials found in nature. We draw from trabecular bone, a lightweight bone tissue that exhibits a complex, anisotropic microarchitecture, to generate networked structures using…
Adam Bekele, M. Ahmer Wadee, Andrew T. M. Phillips
Structural components designed to absorb energy and shield a more valuable structure ideally require mechanical properties that combine a relatively high load-carrying capacity followed by a practically zero stiffness. This ensures that a specified energy quantity may be absorbed within a limited displacement and that…
Keith J. Lee, Renaud Danhaive, Caitlin Mueller
The connections of a spatial truss structure play a critical role in the safe and efficient transfer of axial forces between members. For discrete connections, they can also improve construction efficiency by acting as registration devices that lock members in precise orientations. As more geometrically complex spatial…
Yoko Tomizawa, Naoki Minamino, Eita Shimokawa, Shogo Kawamura + 6 more
Characterizing phenotypes is a fundamental aspect of biological sciences, although it can be challenging due to various factors. For instance, the liverwort (Marchantia polymorpha), a model system for plant biology, exhibits morphological variability, making it difficult to identify and quantify distinct phenotypic…
Rohan Ghosh, Anupam K. Gupta, Siyi Tang, Alcimar Barbosa Soares + 1 more
'Nitish V. Thakor'] Abstract—Unlike conventional frame-based sensors, eventbased visual sensors output information through spikes at a high temporal resolution. By only encoding changes in pixel intensity, they showcase a low-power consuming, low-latency approach to visual information sensing. To use this information…