arxiv.org/abs/physics/0104048v1
Recent satellite data have revealed a surprising correlation between galactic cosmic ray (GCR) intensity and the fraction of the Earth covered by clouds. If this correlation were to be established by a causal mechanism, it could provide a crucial s...
arxiv.org/abs/1806.05984v1
Decreasing costs of vision sensors and advances in embedded hardware boosted lane related research detection, estimation, and tracking in the past two decades. The interest in this topic has increased even more with the demand for advanced driver ass...
arxiv.org/abs/2203.10488v2
Being able to reproduce physical phenomena ranging from light interaction to contact mechanics, simulators are becoming increasingly useful in more and more application domains where real-world interaction or labeled data are difficult to obtain. Des...
www.bing.com/ck/a?!&&p=6211666a8646c1f1ca63362f6feb126811e46ad25095f20ff76ce27fb5a5cb16JmltdHM9MTc3MjA2NDAwMA&ptn=3&ver=2&hsh=4&fclid=29465ae0-2d73-6096-3587-4dec2c7061d2&u=a1aHR0cHM6Ly91c2FmYS5saWJndWlkZXMuY29tL2F6L2VyaWMtZWR1Y2F0aW9uYWwtcmVzb3VyY2VzLWluZm9ybWF0aW9uLWNlbnRlcg&ntb=1
ERIC is a freely available, searchable, Internet-based bibliographic and full-text database of education research and information sponsored by the Institute of Education Sciences within the U.S. …
arxiv.org/abs/1907.10292v1
We introduce the problem of zero-shot sign language recognition (ZSSLR), where the goal is to leverage models learned over the seen sign class examples to recognize the instances of unseen signs. To this end, we propose to utilize the readily availab...
arxiv.org/abs/2201.06255v3
A genome read data set can be quickly and efficiently remapped from one reference to another similar reference (e.g., between two reference versions or two similar species) using a variety of tools, e.g., the commonly-used CrossMap tool. With the exp...
arxiv.org/abs/2206.08140v2
We propose an analysis of heart rate marathon runners implemented by computing a multifractal spectrum based on p-exponents. We draw physiological conclusions about their performance. Finally, we link this analysis with the disturbances of the heart...
arxiv.org/abs/2508.16576v1
Despite advancements in ASR, child speech recognition remains challenging due to acoustic variability and limited annotated data. While fine-tuning adult ASR models on child speech is common, comparisons with flat-start training remain underexplored....
arxiv.org/abs/2310.15371v1
Federated learning (FL) enables multiple client medical institutes collaboratively train a deep learning (DL) model with privacy protection. However, the performance of FL can be constrained by the limited availability of labeled data in small instit...
arxiv.org/abs/2311.02115v2
Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit bias in the form of disparities in performance between subgroups. Since not all sources of biases in real-world medical imaging data are easily identifi...
arxiv.org/abs/2304.10517v3
Training segmentation models for medical images continues to be challenging due to the limited availability of data annotations. Segment Anything Model (SAM) is a foundation model that is intended to segment user-defined objects of interest in an int...
arxiv.org/abs/2409.16135v2
Reliable transcription of child-adult conversations in clinical settings is crucial for diagnosing developmental disorders like Autism. Recent advances in deep learning and availability of large scale transcribed data has led to development of speech...
arxiv.org/abs/2506.11604v2
This paper introduces a novel benchmark dataset designed to evaluate the capabilities of Vision Language Models (VLMs) on tasks that combine visual reasoning with subject-specific background knowledge in the German language. In contrast to widely use...
www.bing.com/ck/a?!&&p=f5939f3b954f3414b98036761a20e740cde9b8b07dc4cbf9f016a8e19c3120aaJmltdHM9MTc3MjA2NDAwMA&ptn=3&ver=2&hsh=4&fclid=22919439-638a-6fab-1d03-833562a86e34&u=a1aHR0cHM6Ly91c2FmYS5saWJndWlkZXMuY29tL2F6L2VyaWMtZWR1Y2F0aW9uYWwtcmVzb3VyY2VzLWluZm9ybWF0aW9uLWNlbnRlcg&ntb=1
ERIC is a freely available, searchable, Internet-based bibliographic and full-text database of education research and information sponsored by the Institute of Education Sciences within the U.S. …
arxiv.org/abs/1601.00092v3
The aim of this work is to address the description of hyperinflation regimes in economy. The spirals of hyperinflation developed in Brazil, Israel, and Nicaragua are revisited. This new analysis of data indicates that the episodes occurred in Brazil...
arxiv.org/abs/astro-ph/0202471v1
Velocity measurements of the G2 subgiant beta Hyi with both UCLES and CORALIE show a clear excess of power centred at 1.0 mHz. In the UCLES data we find evidence for a short-lived, high-amplitude oscillation event. If confirmed as a feature of subg...
arxiv.org/abs/astro-ph/0202472v1
We report observations of the G0 subgiant eta Boo made in 1998, in Balmer-line equivalent width with the 2.5-m Nordic Optical Telescope and in velocity with the 24-inch Lick CAT. In both data sets we see an excess in the power spectrum, with oscill...
arxiv.org/abs/2203.02582v7
We study 119 B stars located in the Scorpius-Centaurus Association using data from NASA's TESS Mission. We see pulsations in 81 stars (68%) across the full range of effective temperatures. In particular, we confirm previous reports of low-frequency p...
arxiv.org/abs/2209.05458v1
The connection of home electronic devices to the internet allows remote control of physical devices and involves the collection of large volumes of data. With the increase in the uptake of Internet-of-Things home devices, it becomes critical to under...
arxiv.org/abs/1807.10609v1
This paper presents the Sokoto Coventry Fingerprint Dataset (SOCOFing), a biometric fingerprint database designed for academic research purposes. SOCOFing is made up of 6,000 fingerprint images from 600 African subjects. SOCOFing contains unique attr...