Integrative multi-omics module network inference with Lemon-Tree. by Eric Bonnet, Laurence Calzone, Tom Michoel

Get full text

Behavioral discrimination and time-series phenotyping of birdsong performance. by Avishek Paul, Helen McLendon, Veronica Rally, Jon T Sakata, Sarah C Woolley

Get full text

A SURVEY OF AI IMAGING TECHNIQUES FOR COVID-19 DIAGNOSIS AND PROGNOSIS by KK Praneeth Tellakula, Saravana Kumar R, Sanjoy Deb

“…Applying AI on image acquisition will help automate the process of scanning and providing protection to lab technicians. …”
Get full text

An overview of iterative methods based on orthogonal projections by Touraj Nikazad, Mona Khakzad

“…This paper investigates the linear feasibility problem (LFP), which plays a fundamental role in image reconstruction, especially in applications such as computed tomography and signal processing. The goal is to find a point in the intersection of a finite collection of convex sets defined by linear constraints. …”
Get full text

Artificial intelligence can recognize metallic glasses in vast compositional space with sparse data by Weijie Xie, Yitao Sun, Chao Wang, Mingxing Li, Fucheng Li, Yanhui Liu

Get full text

Using convolutional neural networks for image semantic segmentation and object detection by Shuangmei Li, Chengning Huang

Get full text

Amorphization evolution study of CrCoFeNiMn high entropy alloy for mechanical performance optimization by deep potential molecular dynamics by Wentao Zhou, Jia Song, Lve Lin, Huilong Yang, Shaoqiang Guo, Guang Ran, Yafei Wang

Get full text

Defect identification method for overhead transmission lines based on SIFT algorithm by Qiang Liu, Xi Zheng, Qiuhan Zhang, Hongjie Sun, Jun Yan

Get full text

SpatialKNifeY (SKNY): Extending from spatial domain to surrounding area to identify microenvironment features with single-cell spatial omics data. by Shunsuke A Sakai, Ryosuke Nomura, Satoi Nagasawa, SungGi Chi, Ayako Suzuki, Yutaka Suzuki, Mitsuho Imai, Yoshiaki Nakamura, Takayuki Yoshino, Shumpei Ishikawa, Katsuya Tsuchihara, Shun-Ichiro Kageyama, Riu Yamashita

Get full text

Neuromorphic touch for robotics—a review by Tianyi Liu, George Brayshaw, Ao Li, Xingchen Xu, Benjamin Ward-Cherrier

Get full text

Advancing Over-the-Air Federated Learning through Deep Reinforcement Learning in UAV-Assisted Networks with Movable Antennas by Mohsen Ahmadzadeh, Saeid Pakravan, Ghosheh Hodtani

Get full text

Scalable training of neural network potentials for complex interfaces through data augmentation by In Won Yeu, Annika Stuke, Jon López-Zorrilla, James M. Stevenson, David R. Reichman, Richard A. Friesner, Alexander Urban, Nongnuch Artrith

“…Here, we present an efficient methodology incorporating forces into ANN training by translating them to synthetic energy data using Gaussian process regression (GPR), leading to accurate PES models with fewer additional first-principles calculations and a reduced computational effort for training. …”
Get full text

Analyzing cryptographic algorithm efficiency with in graph-based encryption models by Yashmin Banu, Biplab Kumar Rath, Debasis Gountia

“…We have added computational performance, logical confidence, and optimality conditions of the proposed Star-based encryption model. …”
Get full text

Connectome-based biophysical models of pathological protein spreading in neurodegenerative diseases. by Peng Ren, Xuehua Cui, Xia Liang

“…To elucidate this dynamic process in vivo from a computational perspective, researchers have proposed three connectome-based biophysical models to simulate the spread of pathological proteins: the Network Diffusion Model, the Epidemic Spreading Model, and the agent-based Susceptible-Infectious-Removed model. …”
Get full text

Structural organization and energy storage in crosslinked actin assemblies. by Rui Ma, Julien Berro

Get full text

A systematic assessment of sentiment analysis models on iraqi dialect-based texts by Hafedh Hameed Hussein, Amir Lakizadeh

Get full text

Conformal prediction for uncertainty quantification in dynamic biological systems. by Alberto Portela, Julio R Banga, Marcos Matabuena

“…Uncertainty quantification (UQ) is the process of systematically determining and characterizing the degree of confidence in computational model predictions. …”
Get full text

College psychological stress assessment system based on LabVIEW and WTA integration by Ting Wang

Get full text

Quantitative dynamics of telomere bouquet formation. by David M Richards, Emma Greer, Azahara C Martin, Graham Moore, Peter J Shaw, Martin Howard

Get full text

Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. by Philip J Tully, Henrik Lindén, Matthias H Hennig, Anders Lansner

Get full text