Backbone curve variations on steel building seismic response

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In today's shift from steel and concrete construction toward bio-based materials such as timber, reliance on forests for construction materials is growing. However, concerns are rising regarding the type and amount of wood our forests will produce in the f ...

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 ...

This paper presents an experimental study that examined the role of the slab continuity and framing action on the overall hysteretic behavior of a composite-steel moment resisting frame (MRF) up until incipient collapse using advanced instrumentation. The ...

Brittle solids typically fail by growth and propagation of a crack from a surface flaw. This process is modelled using linear elastic fracture mechanics, which parameterizes the toughness of a material by the critical stress intensity factor, or the prefac ...

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 ...

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 ...

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 ...

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 ...

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 ...

Semantic segmentation is a well-addressed topic in the computer vision literature, but the design of fast and accurate video processing networks remains challenging. In addition, to run on embedded hardware, computer vision models often have to make compro ...

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. ...

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 ...

Stereo matching aiming to perceive the 3-D geometry of a scene facilitates numerous computer vision tasks used in advanced driver assistance systems (ADAS). Although numerous methods have been proposed for this task by leveraging deep convolutional neural ...

Photonic integrated circuits are becoming increasingly more complex, especially with the emergence of programmable photonic circuits. These require many tunable photonic elements, such as electro-optic phase shifters and tunable couplers. We will discuss o ...

Multivariate time series forecasting poses challenges as the variables are intertwined in time and space, like in the case of traffic signals. Defining signals on graphs relaxes such complexities by representing the evolution of signals over a space using ...

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 ...

We propose a computational method for controlling the output of a multimode fiber using machine learning. Arbitrary images can be projected with amplitude-only calibration (no phase measurement) and fidelities on par with conventional full-measurement meth ...

Backbone curve variations on steel building seismic response

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Design method for roundwood construction using database of trees

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

Full-Scale Tests to Characterize the Effect of Framing Action and Slab Continuity on the Collapse Capacity of Composite Frames Under Cyclic Loading

Complexity of crack front geometry enhances toughness of brittle solids

Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat

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

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

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

Automatic Co-Design of Aerial Robots Using a Graph Grammar

Editorial: Integration and optimization in the chemical process industry

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

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

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

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

Adversarial Confidence Estimation Networks for Robust Stereo Matching

Low-Power Electro-Optic Actuators for Large-Scale Programmable Photonic Circuits

Traffic Signal Prediction on Transportation Networks Using Spatio-Temporal Correlations on Graphs

Unsupervised Controllable Generation with Self-Training

Learning to See and Compute through Multimode Fibers