arxiv.org/abs/2307.11274v1
Breast cancer is a leading cause of cancer-related deaths, but current programs are expensive and prone to false positives, leading to unnecessary follow-up and patient anxiety. This paper proposes a solution to automated breast cancer detection, to...
www.reddit.com/r/disneyparks/comments/1iiqm73/i_was_able_to_identify_what_each_symbol_on_this/
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arxiv.org/abs/2407.17440v3
Context. In less than a year practitioners and researchers witnessed a rapid and wide implementation of Generative Artificial Intelligence. The daily availability of new models proposed by practitioners and researchers has enabled quick adoption. Tex...
arxiv.org/abs/1711.05855v2
In this paper, we propose a methodology for estimating the crowd speed using WiFi devices without relying on people to carry any device. Our approach not only enables speed estimation in the region where WiFi links are, but also in the adjacent possi...
arxiv.org/abs/2112.10849v2
In this paper we advocate for Isaacs' method for the solution of differential games to be applied to the solution of optimal control problems. To make the argument, the vehicle employed is Pontryagin's canonical optimal control example, which entails...
arxiv.org/abs/1111.4752v1
This paper presents the Henshin solution to the Model Transformations for Program Understanding case study as part of the Transformation Tool Contest 2011....
arxiv.org/abs/1111.4743v1
In this short paper we present our solution for the Compiler Optimization case study of the Transformation Tool Contest (TTC) 2011 using the QVTR-XSLT tool. The tool supports editing and execution of the graphical notation of QVT Relations language...
arxiv.org/abs/1111.4753v1
This paper gives an overview of the Edapt solution to the hello world case of the Transformation Tool Contest 2011....
arxiv.org/abs/1111.4745v1
This paper discusses the GReTL solution of the TTC 2011 Compiler Optimization case. The submitted solution covers both the constant folding task and the instruction selection task. The verifier for checking the validity of the graph is also impleme...
arxiv.org/abs/1111.4747v1
This paper discusses the GReTL reference solution of the TTC 2011 Reengineering case. Given a Java syntax graph, a simple state machine model has to be extracted. The submitted solution covers both the core task and the two extension tasks....
arxiv.org/abs/1111.4740v1
This paper gives an overview of the Edapt solution to the GMF model migration case of the Transformation Tool Contest 2011....
arxiv.org/abs/1111.4749v1
This paper gives an overview of the Edapt solution to the reengineering case of the Transformation Tool Contest 2011....
arxiv.org/abs/1704.02440v1
Voice over IP (VoIP) is the transmission of voice and multimedia content over Internet Protocol (IP) networks, this paper reviews models, frameworks and auditing standards proposed to this date to manage VoIP security through a literature review, wit...
arxiv.org/abs/2511.09685v1
Elon Musk released Grokipedia on 27 October 2025 to provide an alternative to Wikipedia, the crowdsourced online encyclopedia. In this paper, we provide the first comprehensive analysis of Grokipedia and compare it to a dump of Wikipedia, with a focu...
arxiv.org/abs/2206.06693v1
We propose to develop a wide-field and ultra-high-precision photometric survey mission, temporarily named "Earth 2.0 (ET)". This mission is designed to measure, for the first time, the occurrence rate and the orbital distributions of Earth-sized plan...
arxiv.org/abs/1304.5063v2
This paper proposes a new methodology to automatically build semantic hierarchies suitable for image annotation and classification. The building of the hierarchy is based on a new measure of semantic similarity. The proposed measure incorporates seve...
arxiv.org/abs/1612.08796v1
In this paper, a model for classification of logos based on symbolic representation of features is presented. The proposed model makes use of global features of logo images such as color, texture, and shape features for classification. The logo image...
arxiv.org/abs/1609.01414v1
In this paper, a logo classification system based on the appearance of logo images is proposed. The proposed classification system makes use of global characteristics of logo images for classification. Color, texture, and shape of a logo wholly descr...
arxiv.org/abs/2312.16792v1
This paper proposes a novel logo image recognition approach incorporating a localization technique based on reinforcement learning. Logo recognition is an image classification task identifying a brand in an image. As the size and position of a logo v...
arxiv.org/abs/2502.19432v1
In a series of two papers, we provide a comprehensive agenda of actions the American Astronomical Society (AAS) can take to create a more diverse and inclusive professional system for astronomers, with a focus on women astronomers. This first paper o...