The Deep Screen Image Crop and Enhance project, led by Aaron Ott and Amir Mazaheri, focuses on improving image quality through a multi-step approach involving image detection, cropping, and enhancement. The project utilizes advanced techniques like super-resolution networks and deep residual network

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Grant award adjustments involve modifications to federal awards, such as reallocating funds or changing project scope. Recipients must initiate a Grant Adjustment Notice (GAN) for budget modifications and follow specific guidelines to ensure timely processing and approval. Different criteria apply f

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Explore the evolution of Libra, challenges & risks associated with CBDCs, stable coins, and the technological impact of cryptocurrencies. Louis Abraham & Dominique Gu.gan shed light on the regulatory context, technical considerations, and the intriguing aspects of these financial innovations.

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Get an insight into Scoil Mhuire gan Smál National School, including details about the staff, daily schedule, upcoming events, helpful school information, and tips for the first few days of school. Discover what to look forward to, the school's green initiatives, and important dates for the first w

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Evolutionary advancements in GAN generators, such as the progressive GAN setup and adaptive instance normalization, have led to improved image synthesis quality. Inspired by style transfer networks, these models enhance training efficiency and style transfer capabilities, revolutionizing the field o

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This project focuses on developing a wide-bandgap semiconductor-based, three-phase voltage source inverter for high-frequency electromechanical energy conversion in next-generation hybrid vehicles. With the aim to reduce CO2 emissions by 30% by 2030, the research explores the use of GaN HEMTs in pow

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The SpeechSplit 2 method addresses the challenge of modifying specific aspects of speech while keeping others unchanged. By leveraging techniques like VAE-based approaches, GAN-based methods, and contrastive learning, SpeechSplit 2 disentangles speech into rhythm, content, pitch, and timbre componen

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This project focuses on detecting malware within signal/sensor systems using a Generative Adversarial Network (GAN) approach. By training on normal system behavior and generating fake malware-like samples, the system can effectively identify anomalies without relying on signature-based methods. The

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Utilizing contextual GAN, this project aims to automatically generate photographic images from hand-sketched objects. It addresses the challenge of aligning output with free-hand sketches while offering advantages like a unified network for sketch-image understanding. The process involves posing ima

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Dr. E. S. Gopi and Dr. S. Deivalakshmi propose a project at the Indian Institute of Remote Sensing to use Generative Adversarial Networks (GAN) for converting low-resolution hyperspectral images into high-resolution ones and developing a classifier for pixel-wise classification. The aim is to achiev

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