Voice over Internet Protocol (VoIP) is a technology that allows people to use the Internet, rather than a traditional telephone network. VoIP is becoming more and more popular due to its significant advantages. VoIP t...
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The article presents a method for analyzing the activity of cold and abandoned wallets on the example of blockchain Litecoin. The implementation of the software for searching correlations in the behavior of cold walle...
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This article describes content analysis of text with to identify suicidal tendencies and types. This article also describes how to make a sentence classifier that uses a neural network created using various libraries ...
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This article discusses the security issue of using unknown USB devices and how to protect against unauthorized access to a user's computer by using hardware backdoors by attackers. An Arduino-based hardware backdo...
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One of the most critical moments in the development of software development is the emergence and use of databases. With the emergence of the Internet and web applications, as well as with the entry of IoT devices into...
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In this paper Internet of things (IoT) applications were developed and presented. Especially, ultrasonic and flame sensors were connected to the Arduino Uno board with LoRa technology. Information from the sensors was...
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This article presents the implementation of statistical analysis with NI LabVIEW. Virtual instruments Standard Deviation and Variance VI and T Test VI forstatistical data processing were used. A program has been creat...
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In recent years, scientists and researchers have been working in the field of converting color images to grayscale. This color conversion is dictated by the capabilities of certain hardware or software, as well as the...
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This paper presents an interactive application developed for the analysis of continuous systems that are used in many different areas of modern technology. For this reason, their analysis is crucial both for investiga...
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Recently, generative foundation models have significantly advanced large-scale text-driven natural image generation and have become a prominent research trend across various vertical domains. However, in the remote se...
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Recently, generative foundation models have significantly advanced large-scale text-driven natural image generation and have become a prominent research trend across various vertical domains. However, in the remote sensing field, there is still a lack of research on large-scale text-to-image (text2image) generation technology. Existing remote sensing image-text datasets are small in scale and confined to specific geographic areas and scene types. Besides, existing text2image methods have struggled to achieve global-scale, multi-resolution controllable, and unbounded image generation. To address these challenges, this paper presents two key contributions: the Git-10M dataset and the Text2Earth foundation model. Git-10M is a global-scale image-text dataset comprising 10.5 million image-text pairs, 5 times larger than the previous largest one. The dataset contains essential resolution information and covers a wide range of geographic scenes and contains essential geospatial metadata, significantly surpassing existing datasets in both size and diversity. Building on Git-10M, we propose Text2Earth, a 1.3 billion parameter generative foundation model based on the diffusion framework to model global-scale remote sensing scenes. Text2Earth integrates a resolution guidance mechanism, enabling users to specify image resolutions. A dynamic condition adaptation strategy is proposed for training and inference to improve image generation quality. Text2Earth not only excels in zero-shot text2image generation but also demonstrates robust generalization and flexibility across multiple tasks, including unbounded scene construction, image editing, and cross-modal image generation. This robust capability surpasses previous models restricted to the basic fixed size and limited scene types. On the previous text2image benchmark dataset, Text2Earth outperfoms previous models with a significant improvement of +26.23 FID and +20.95% Zero-shot Cls-OA metric. Our project page is https://chen-y
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