We add 9 new observations of NY Vir and identify four others from AASVO database. Our results indicste that the one and two exo-planet predictions made by earlier authors do not match these new results....
3D Gaussian splatting (3D-GS) is a new rendering approach that outperforms the neural radiance field (NeRF) in terms of both speed and image quality. 3D-GS represents 3D scenes by utilizing millions of 3D Gaussians and projects these Gaussians onto t...
Thus, new screening methods are required for such cancers. Multi-cancer early detection (MCED) tests can identify multiple cancers early using a single blood test by detecting cancer-derived DNA, …
Nov 5, 2025 · Multiple-cancer early detection (MCED) blood tests can help identify cancer biomarkers for multiple cancer types. Test developers aim to change the landscape of cancer screening and …
Multi-cancer early detection (MCED) tests are blood tests that use machine-learning to identify markers that may indicate the presence of early-stage cancer cells somewhere in the body.
Jun 25, 2024 · The Top 10 Emerging Technologies report is a vital source of strategic intelligence. First published in 2011, it draws on insights from scientists, researchers and futurists to identify 10 …
We consider a variational problem modeling transition between flat and wrinkled region in a thin elastic sheet, and identify the $Γ$-limit as the sheet thickness goes to 0, thus extending the previous work of the first author [Bella, ARMA 2015]. The...
Bag manipulation through robots is complex and challenging due to the deformability of the bag. Based on dynamic manipulation strategy, we propose a new framework, ShakingBot, for the bagging tasks. ShakingBot utilizes a perception module to identify...
Video-based bug reports are increasingly being used to document bugs for programs centered around a graphical user interface (GUI). However, developing automated techniques to manage video-based reports is challenging as it requires identifying and u...
We study a set of truncated matrices, given by Smith~\cite{Smith2005}, in connection to an identification criterion for the ground state in our proposed quantum adiabatic algorithm for Hilbert's tenth problem. We identify the origin of the trouble...
Automatically identifying fake news from the Internet is a challenging problem in deception detection tasks. Online news is modified constantly during its propagation, e.g., malicious users distort the original truth and make up fake news. However, t...
*DISCLAIMER: I used ChatGPT (i know ironic) to organize 6+ hours of research and analysis. Same way a writer uses spell-check. The macro framework, data connections, and thesis are mine. AI just made ...
identify a range of procedures that can improve collective accuracy beyond simple averaging, including expertise and accuracy weighting, confidence-weighted
We identify label errors in the test sets of 10 of the most commonly-used computer vision, natural language, and audio datasets, and subsequently study the potential for these label errors to affect benchmark results. Errors in test sets are numerous...
Toxicity labels viz; red label, yellow label, blue label and green label are mandatory labels employed on pesticide containers in India identifying the
We explore the benefits of augmenting state-of-the-art model-free deep reinforcement algorithms with simple object representations. Following the Frostbite challenge posited by Lake et al. (2017), we identify object representations as a critical cogn...
This article presents an operationalized solution to the mind-body problem which relies on rigorously defined theoretical reasoning rather than philosophical argument. We identify a specific operation which is a necessary property of all healthy huma...
Loop-closure detection, also known as place recognition, aiming to identify previously visited locations, is an essential component of a SLAM system. Existing research on lidar-based loop closure heavily relies on dense point cloud and 360 FOV lidars...
This work aims to identify classes of DOI mistakes by analysing the open bibliographic metadata available in Crossref, highlighting which publishers were responsible for such mistakes and how many of these incorrect DOIs could be corrected through au...
In the big data era of Astrophysics, the improvement of visualization techniques can greatly enhance the ability to identify and interpret key features in complex datasets. This aspect of data analysis will become even more relevant in the near futur...