Borrowing from yourself: Faster future video segmentation with partial channel update

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Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain-machine interfaces have changed over time, along wi ...

Identification of spot-like structures in large, noisy microscopy images is a crucial step for many life-science applications. Imaging-based spatial transcriptomics (iST), in particular, relies on the precise detection of millions of transcripts in low sig ...

Project-based learning (PBL), as one of the effective teaching and learning approaches in engineering education, can create opportunities for students to address problems with real-world applications, integrate and apply knowledge, and practice and develop ...

Quantum computers have demonstrable ability to solve problems at a scale beyond brute-force classical simulation. Interest in quantum algorithms has developed in many areas, particularly in relation to mathematical optimization - a broad field with links t ...

Quantitative analysis of microstructural features on the nanoscale, including precipitates, local chemical orderings (LCOs) or structural defects (e.g. stacking faults) plays a pivotal role in understanding the mechanical and physical responses of engineer ...

In this letter, we present a custom-designed and flexible readout circuitry for the characterization of flexible and planar electrolyte-gated carbon nanotube field-effect transistor-based biosensors for ammonium detection in sweat. We employed spray-deposi ...

Detecting learners in need of support is a complex process for both teachers and machines. Most prior work has devised visualization tools that allow teachers to do so by analyzing educational indicators. Other recent efforts have been devoted to models th ...

Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins (DTs). However, sensors might be unreliable due to inherent issues and/or environmental conditions. This article aims at detecting anomal ...

Walking with a shorter stride length (SL) was recently proposed for gait retraining in medial knee osteoarthritis; however it was never assessed in this patient population. This study tested the hypothesis that shortening SL while maintaining walking speed ...

A 4-story steel moment-frame building designed according to ASCE 7 was used in a numerical parameter study to assess the effects of modeling features on peak drift demands. Features studied included strength, stiffness, ductility, and degradation along wit ...

The 2nd edition of this book provides an updated and extended look into the advancements in Virtual Reality and the metaverse. The history and origins of Virtual Reality, crowd simulation and virtual surgery are thoroughly explored. Applications in the cul ...

Succinct non-interactive arguments (SNARGs) enable verifying NP statements with lower complexity than required for classical NP verification. Traditionally, the focus has been on minimizing the length of such arguments; nowadays, researchers have focused a ...

This work dealt with the assessment of a computational tool to estimate the electrical activation in the left ventricle focusing on the latest electrically activated segment (LEAS) in patients with left bundle branch block and possible myocardial fibrosis. ...

Unmanned aerial vehicles (UAVs) have broad applications including disaster response, transportation, photography, and mapping. A significant bottleneck in the development of UAVs is the limited availability of automatic tools for task-specific co-design of ...

This study evaluates the efficiency of an explainable ensemble learning framework in precisely predicting the bond strength between steel sections with different surface treatments and various concrete types. Besides seven numerical features, two categoric ...

The propagation of fake news is an increasingly serious concern in social platforms, and designing methods to automatically detect them and limit their spread is an important research challenge. Most existing methods rely on inspecting the content of news ...

Recent generative adversarial networks (GANs) are able to generate impressive photo-realistic images. However, controllable generation with GANs remains an open research problem. Achieving controllable generation requires semantically interpretable and dis ...

Recent advances in wearable technologies integrating multi-modal sensors have enabled the in-field monitoring of several physiological metrics. In sport applications, wearable devices have been widely used to improve performance while minimizing the risk o ...

Borrowing from yourself: Faster future video segmentation with partial channel update

Chat with Graph Search

Interfacing with the Brain: How Nanotechnology Can Contribute

Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression

Project-Based Learning Approach for an Engineering Course: Challenges and Learnings of Teaching Transversal Skills

Challenges and Opportunities in Quantum Optimization

3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures

Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat

How Close are Predictive Models to Teachers in Detecting Learners at Risk?

A Machine-Learning Architecture for Sensor Fault Detection, Isolation, and Accommodation in Digital Twins

Walking with shorter stride length could improve knee kinetics of patients with medial knee osteoarthritis

Backbone curve variations on steel building seismic response

Stepping into virtual reality

Succinct Non-Interactive Arguments via Linear Interactive Proofs

Computational electrophysiology of the coronary sinus branches based on electro-anatomical mapping for the prediction of the latest activated region

Automatic Co-Design of Aerial Robots Using a Graph Grammar

Editorial: Integration and optimization in the chemical process industry

Explainable ensemble learning model for predicting steel section-concrete bond strength

G-Fake: Tell Me How It is Shared and I Shall Tell You If It is Fake

Unsupervised Controllable Generation with Self-Training

A 1GS/s 6-to-8b 0.5mW/Qubit Cryo-CMOS SAR ADC for Quantum Computing in 40nm CMOS

Indirect Estimation of Breathing Rate from Heart Rate Monitoring System during Running