Prof. Ross Anderson's response to a takedown request about security research
Points: 336 | Comments: 54 | Author: randomwalker
Fashion History Timeline | A hub for fashion research
Since the mid-20th century, relations between Africa and China have grown stronger leading to a significant change in the mutual adaptation of fashion between both nations. A 21st century, Sino …
Enhancing Webshell Detection With Deep Learning-Powered Methods
Webshell attacks are becoming more common, requiring robust detection mechanisms to protect web applications. The dissertation clearly states two research directions: scanning web application source code and analyzing HTTP traffic to detect webshells...
soxoj/bellingcat-hackathon-watchcats
? Adana - 1-click analytical dashboard for OSINT researchers (⭐ 41)
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease…
Thoracic disease detection from chest radiographs using deep learning methods has been an active area of research in the last decade. Most previous methods attempt to focus on the diseased organs of the image by identifying spatial regions responsibl...
AirOps Platform - Ship Winning Content
AirOps is the first AI-workflow platform built for content teams blending human expertise with AI automation to drive demand at scale. Capture your best research, creation, optimization, and …
How University Disability Services Professionals Write Image Descriptions for HC…
Disability Services Office (DSO) professionals at higher education institutions write alt text for {visual content}. However, due to the complexity of visual content, such as HCI figures in research publications, DSO professionals can struggle to wri...
ICDAR 2023 Competition on Hierarchical Text Detection and Recognition
We organize a competition on hierarchical text detection and recognition. The competition is aimed to promote research into deep learning models and systems that can jointly perform text detection and recognition and geometric layout analysis. We pre...
ICDAR 2021 Competition on Scene Video Text Spotting
Scene video text spotting (SVTS) is a very important research topic because of many real-life applications. However, only a little effort has put to spotting scene video text, in contrast to massive studies of scene text spotting in static images. Du...
Improving Merge Sort and Quick Sort Performance by Utilizing Alphadev's Sorting…
Recent work by Google DeepMind introduced assembly-optimized sorting networks that achieve faster performance for small fixed-size arrays (3-8). In this research, we investigate the integration of these networks as base cases in classical divide-and-...
A review of analytical performance modeling and its role in computer engineering…
This article is a review of analytical performance modeling for computer systems. It discusses the motivation for this area of research, examines key issues, introduces some ideas, illustrates how it is applied, and points out a role that it can play...
Using Twitter to Predict Sales: A Case Study
This paper studies the relation between activity on Twitter and sales. While research exists into the relation between Tweets and movie and book sales, this paper shows that the same relations do not hold for products that receive less attention on s...
chaitanyya/sales
Claude code to help you do lead research and qualification (⭐ 269)
Causes of autism - Wikipedia
The causes of autism are a subject of scientific research, but understanding of the etiology of autism is incomplete. It is influenced by a complex interplay
Interesting possible cause of fibromyalgia
https://www.physio-pedia.com/Central_Sensitisation_/_Sensitization Hey, just figured I'd share this link for a bit of info about the possible cause of fibromyalgia. Recent research suggests that cent...
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale (⭐ 15534)
Recommender systems and reinforcement learning for human-building interaction an…
The indoor environment significantly impacts human health and well-being; enhancing health and reducing energy consumption in these settings is a central research focus. With the advancement of Information and Communication Technology (ICT), recommen...
Opening the Black Box: Towards inherently interpretable energy data imputation m…
Missing data are frequently observed by practitioners and researchers in the building energy modeling community. In this regard, advanced data-driven solutions, such as Deep Learning methods, are typically required to reflect the non-linear behavior...
Creating synthetic energy meter data using conditional diffusion and building me…
Advances in machine learning and increased computational power have driven progress in energy-related research. However, limited access to private energy data from buildings hinders traditional regression models relying on historical data. While gene...
Pose Guided Fashion Image Synthesis Using Deep Generative Model
Generating a photorealistic image with intended human pose is a promising yet challenging research topic for many applications such as smart photo editing, movie making, virtual try-on, and fashion display. In this paper, we present a novel deep gene...