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

0 views • 10 slides

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

8 views • 6 slides

Addressing the current scenario and problems encountered in running E2E tests for VNF. Proposals for a 3-stage E2E test setup, including test preparation, vendor and LCM creation, runtime complexities, and cloud region configurations. Suggestions for utilizing SO Openstack and MultiCloud VIM adapter

1 views • 5 slides

Vi\u00eam g\u1ea1n B l\u00e0 b\u1ec7nh do vi r\u00fat g\u00e2y ra \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn gan. V\u1eady vi\u00eam gan B c\u00f3 nguy hi\u1ec3m kh\u00f4ng? M\u1eb9 b\u1ea7u b\u1ecb vi\u00eam gan B c\u00f3 \u1ea3nh h\u01b0\u1edfng \u0111

0 views • 3 slides

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.

0 views • 24 slides

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

0 views • 7 slides

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

0 views • 26 slides

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

0 views • 8 slides

Explore VimScript development through open-source VIM projects like vim-lsp, typescript-language-server, and more in this talk. Learn about version <= 8 of Vimscript/Viml and its applications in enhancing your Vim experience.

0 views • 57 slides

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

0 views • 12 slides

This blueprint proposes the development of a new API in Nova to promptly update the server state in OpenStack when a host fault occurs. The intention is to ensure reliability and real-time updates of server and host states for Telco-grade VIM, allowing users to take necessary actions swiftly in case

0 views • 5 slides

The OSCAR Project is a proposed initiative for OPNFV by Stuart Mackie, focusing on system configuration and reporting deployment for OPNFV platform and virtual infrastructure. The project aims to create templates for building different OPNFV stacks, preload required VNFs, and enable rapid deployment

0 views • 14 slides

Explore the basics of shell programming in Linux/Unix, including Vim commands for editing files, control flow commands like if-then statements, and examples of executing commands with built-in utilities. Learn how to handle arguments, read input, and implement conditional logic in scripts.

0 views • 47 slides

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

0 views • 10 slides

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

0 views • 21 slides

Delve into the world of data science through the command line, UNIX, and Vim, which offer agile, filesystem-integrated, scalable, and extensible solutions. Discover the significance of the command line, its integration with other technologies, and the role it plays in supercomputing and remote compu

0 views • 29 slides

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

0 views • 25 slides

B\u00e0 \u0111\u1ebb u\u1ed1ng g\u00ec cho m\u00e1t gan? S\u1ef1 thay \u0111\u1ed5i c\u1ee7a c\u01a1 th\u1ec3 v\u00e0 ch\u1ebf \u0111\u1ed9 \u0103n khi mang thai, sau qu\u00e1 tr\u00ecnh sinh n\u1edf khi\u1ebfn m\u1eb9 d\u1ec5 b\u1ecb t\u1ed5n th\u01

0 views • 3 slides