16 papers · ranked by Valyu relevance
Sunia Tanweer, Firas A. Khasawneh
We develop a practical framework for distinguishing diffusive stochastic processes from deterministic signals using only a single discrete time series. Our approach is based on classical excursion and crossing theorems for continuous semimartingales, which correlates number N ε of excursions of magnitude at least ε…
Guilherme Fiusa, Pedro E. Harunari, Alberto J. B. Rosal, John M. Nichol + 1 more
We investigate the trajectory-level dynamics of a double quantum dot system using the newly developed formalism of stochastic excursions. This approach extends full counting statistics by enabling a filtering of complex trajectories into sub-trajectories, which provide access to the intricate correlations between…
Paulo A. F. Magalhães, Thálita R. L. Crispim, Fabianne M. N. A. Dantas, Helga C. Muniz + 3 more
The purpose was. to evaluate diaphragmatic mechanics and morphometry using ultrasound in children with cerebral palsy (CP) compared to typically developing controls. By quantifying parameters such as excursion, contraction/relaxation velocity, and thickness, we aimed to distinguish primary respiratory muscle impairment…
Camilla R. Illidi, Lee M. Romer
The combined use of subcostal ultrasonography and respiratory manometry represents a novel, integrative method for quantifying diaphragm contractile function (force, velocity and power). We evaluated the technical feasibility, construct validity and within-day test-retest reliability of this method during…
Carlos Rodrigues, Miguel Velhote Correia, João M. C. S. Abrantes, Marco Aurélio Benedetti Rodrigues + 2 more
This study applies phase plane analysis of medio-lateral, anteroposterior, and vertical directions for the coordination assessment of whole-body (WB) center of mass (COM) movement during the impulse phase of a standard maximum vertical jump (MVJ) with long, short, and no countermovement (CM). A video system and force…
Jitin Rajoria, Arnab Pal
We investigate the target search process by proteins locating specific target sites along DNA – a phenomenon fundamental to biological functions such as gene regulation, transcription, replication, recombination, and gene-editing technologies. This process proceeds through a repetitive sequence of stochastic motions…
Donghua Wu, Yi Tian, Fangqing Gao, Xiukun Wei + 2 more
The high operational velocities of high-speed trains present constraints on their onboard track intrusion detection systems for real-time capture and analysis, encompassing limited computational resources and motion image blurring. This emphasizes the critical necessity of track perimeter intrusion monitoring systems.…
Md Zahurul Haque, Md. Hafizur Rahman, Yeahyea Sarker
-Understanding user behavior is a critical requirement for enhancing digital user experience, optimizing business conversions, and mitigating modern security threats such as account takeovers, fraud, and automated bot attacks. Despite the growing importance of behavioral data, most existing platforms continue to treat…
Nicolae Cleju, Constantin Catargiu, Duo Lu, Bharatesh Chakravarthi + 1 more
We study trajectory feature representations in the context of detecting spatially anomalous vehicle trajectories in urban intersections, using trajectory data from video streams captured by camera monitoring systems. These trajectories are extracted using an object detection pipeline and have particular characteristics…
Authors not listed
We present burbuja (Baring Unseen Regions of Bubbles Using Joint-Density Analysis), an automated software tool for detecting and characterizing gas bubbles and other local voids in molecular structures and trajectories containing explicit aqueous solvent. We describe the burbuja algorithm and demonstrate its accuracy…
Shivanshu Tripathi, Maziar Raissi, Hamed Mohsenian-Rad
Continuously recorded high-resolution waveform measurements provide rich information about fast power system dynamics. However, they require automated methods to identify events. This problem is addressed by developing a spectrogram-based framework to jointly detect, localize, and classify events in real-world…
Weijun Gao, Rundong He, Jinyang Dong, Yongshun Gong
Out-of-Distribution (OOD) detection is a critical capability for ensuring the safe deployment of machine learning models in open-world environments, where unexpected or anomalous inputs can compromise model reliability and performance. Activation-based methods play a fundamental role in OOD detection by mitigating…
Naeen, Mohammad Ali Etemadi, Mohammadzade, Hoda + 2 more
—Anomaly detection in surveillance videos remains a challenging task due to the diversity of abnormal events, class imbalance, and scene-dependent visual clutter. To address these issues, we propose a robust deep learning framework that integrates human-centric preprocessing with spatio-temporal modeling for…
Lu HongMing, Ko JaeHa, Rubén Puche-Panadero
Highlights What are the main findings?1. A fully embedded, non-intrusive PV DC arc detection pipeline was implemented on a low-cost MCU using a shielded loop sensor, on-chip PGA, ADC, FFT, and a cascaded Rule-AI decision strategy. 2. Across household, laboratory, and PV scenarios, the proposed method showed that…
Bolin Fan, Anthony Bilodeau, Frédéric Beaupré, Theresa Wiesner + 3 more
Fluorescence-based Ca^2+^-imaging is a powerful tool for studying localized neuronal activity, including miniature Synaptic Calcium Transients, providing real-time insights into synaptic activity. These transients induce only subtle changes in the fluorescence signal, often barely above baseline, which poses a…
Jolyon Troscianko, Thomas A. O’Shea-Wheller, James Galloway, Kevin J. Gaston
Here we introduce BehaveAI, a biologically inspired video analysis framework that integrates static and motion information through a novel colour-from-motion encoding strategy. This method translates object movement – direction, speed, and acceleration – into colour gradients, enabling both human annotators and…