|
|
|
|
|
Tomasz Walczyna and Zbigniew Piotrowski
The proliferation of ?Deep fake? technologies, particularly those facilitating face-swapping in images or videos, poses significant challenges and opportunities in digital media manipulation. Despite considerable advancements, existing methodologies ofte...
ver más
|
|
|
|
|
|
|
|
|
|
|
Martynas Mila?evicius and Laurynas Maciulis
This paper presents a state-of-the-art overview of fine beam steering mechanisms for free-space optical communication on satellites. Precise beam pointing is a critical task for the successful operation of free-space optical communication systems. Based ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dariush Ashtab, Mehdi Gholamalifard, Parviz Jokar, Andrey G. Kostianoy and Aleksander V. Semenov
Protected areas are referred to around the world as the basis of conservation strategies. Designation of marine protected areas (MPAs) is to preserve marine biodiversity and protect species, habitats in the seas, and oceans. The simulated annealing algor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bowen Zhang, Ying Chen, Xingwei Chen, Lu Gao and Meibing Liu
Under climate change, the frequency of drought-flood abrupt alternation (DFAA) events is increasing in Southeast China. However, there is limited research on the evolution characteristics of DFAA in this region. This study evaluated the effectiveness of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Libero Nigro and Pasi Fränti
This paper proposes two algorithms for clustering data, which are variable-sized sets of elementary items. An example of such data occurs in the analysis of a medical diagnosis, where the goal is to detect human subjects who share common diseases to poss...
ver más
|
|
|
|
|
|
|
|
|
|
|
Libero Nigro and Franco Cicirelli
K-Means is a ?de facto? standard clustering algorithm due to its simplicity and efficiency. K-Means, though, strongly depends on the initialization of the centroids (seeding method) and often gets stuck in a local sub-optimal solution. K-Means, in fact, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raluca Chitic, Ali Osman Topal and Franck Leprévost
Recently, convolutional neural networks (CNNs) have become the main drivers in many image recognition applications. However, they are vulnerable to adversarial attacks, which can lead to disastrous consequences. This paper introduces ShuffleDetect as a n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sharanya Srinivas, Samuel Welker, Andrew Herschfelt and Daniel W. Bliss
As radio frequency (RF) hardware continues to improve, many technologies that were traditionally impractical have suddenly become viable alternatives to legacy systems. Two-way ranging (TWR) is often considered a poor positioning solution for airborne an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuhe Sun, Zuohua Ding, Hongyun Huang, Senhao Zou and Mingyue Jiang
Relation extraction (RE) is a fundamental NLP task that aims to identify relations between some entities regarding a given text. RE forms the basis for many advanced NLP tasks, such as question answering and text summarization, and thus its quality is cr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jackson Costa, Rubens Matos, Jean Araujo, Jueying Li, Eunmi Choi, Tuan Anh Nguyen, Jae-Woo Lee and Dugki Min
It is necessary to develop a vehicle digital twin (DT) for urban air mobility (UAM) that uses an accurate, physics-based emulator to model the statics and dynamics of a vehicle. This is because the use of digital twins in the operation and control of UAM...
ver más
|
|
|
|
|
|