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In the immunohistochemical (IHC) analysis during surgery, frozen-section (FS) images are used to determine the benignity or malignancy of the tumor. However, FS image faces problems such as image contamination and poor nuclear detail, which…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Yiyang Lin , Danling Jiang , Xinyu Liu , Yun Miao , Yixuan Yuan

Fully Homomorphic Encryption (FHE) allows a third party to perform arbitrary computations on encrypted data, learning neither the inputs nor the computation results. Hence, it provides resilience in situations where computations are carried…

Cryptography and Security · Computer Science 2022-02-04 Alexander Viand , Patrick Jattke , Anwar Hithnawi

Current infrared and visible image fusion (IVIF) methods go to great lengths to excavate complementary features and design complex fusion strategies, which is extremely challenging. To this end, we rethink the IVIF outside the box,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-23 Keying Du , Huafeng Li , Yafei Zhang , Zhengtao Yu

I present a new FITS viewer designed to explore 3D spectral line data (in particular HI) and assist with visual source extraction and analysis. Using the artistic software Blender, FRELLED can visualise even large (~600^3 voxels) data sets…

Instrumentation and Methods for Astrophysics · Physics 2015-10-14 Rhys Taylor

A new software package, the Fission Induced Electromagnetic Response (FIER) code, has been developed to analytically predict delayed $\gamma$-ray spectra following fission. FIER uses evaluated nuclear data and solutions to the Bateman…

Federated learning (FL) has come forward as a critical approach for privacy-preserving machine learning in healthcare, allowing collaborative model training across decentralized medical datasets without exchanging clients' data. However,…

Cryptography and Security · Computer Science 2026-02-06 Abdulkadir Korkmaz , Praveen Rao

Federated multi-view clustering offers the potential to develop a global clustering model using data distributed across multiple devices. However, current methods face challenges due to the absence of label information and the paramount…

Machine Learning · Computer Science 2024-06-14 Xueming Yan , Ziqi Wang , Yaochu Jin

Complex electronic control unit (ECU) architectures, software models and in-vehicle networks are consistently improving safety and comfort functions in modern vehicles. However, the extended functionality and increased connectivity…

Hardware Architecture · Computer Science 2025-05-22 Changhong Li , Shashwat Khandelwal , Shreejith Shanker

In the era of post-Moore computing, network offload emerges as a solution to two challenges: the imperative for low-latency communication and the push towards hardware specialisation. Various methods have been employed to offload protocol-…

Networking and Internet Architecture · Computer Science 2024-05-28 Timo Schneider , Pengcheng Xu , Torsten Hoefler

As a case study in cryptographic binding, we present a formal-methods analysis of the cryptographic channel binding mechanisms in the Fast IDentity Online (FIDO) Universal Authentication Framework (UAF) authentication protocol, which seeks…

Cryptography and Security · Computer Science 2025-11-11 Enis Golaszewski , Alan T. Sherman , Edward Zieglar , Jonathan D. Fuchs , Sophia Hamer

\textsc{Pykat} is a Python package which extends the popular optical interferometer modelling software \textsc{Finesse}. It provides a more modern and efficient user interface for conducting complex numerical simulations, as well as…

Instrumentation and Methods for Astrophysics · Physics 2020-04-16 Daniel D. Brown , Philip Jones , Samuel Rowlinson , Andreas Freise , Sean Leavey , Anna C. Green , Daniel Toyra

We have developed observation control software for the Immersion GRating INfrared Spectrometer (IGRINS) slit-viewing camera module, which maintains the position of an astronomical target on the spectroscopic slit. It is composed of several…

Instrumentation and Methods for Astrophysics · Physics 2020-03-11 Hye-In Lee , Soojong Pak , Gregory N. Mace , Kyle F. Kaplan , Huynh Anh N. Le , Heeyoung Oh , Chan Park , Sungho Lee

The Cosmic Far-Infrared Background (CFIRB) contains information about the number and distribution of contributing sources and thus gives us an important key to understand the evolution of galaxies. Using a confusion study to set a…

The VDFS comprises the system to pipeline process and archive the data from infrared observations taken by both the WFCAM instrument on UKIRT and the forthcoming VISTA telescope. These include the largest near-IR surveys to date, such as…

Astrophysics · Physics 2007-11-02 Nicholas Cross , Nigel Hambly , Ross Collins , Mike Read , Eckhard Sutorius

In order to get accurate information about complex systems depending on a lot of parameters, frequently different experimental methods and/or different experimental conditions are used. The evaluation of these data sets is quite often a…

Other Condensed Matter · Physics 2009-07-17 Sz. Sajti , L. Deák , L. Bottyán

The 6G wireless networks impose extremely high requirements on physical layer secure communication. However, the existing solutions usually can only achieve one-dimensional physical layer security (PLS) in the angle dimension, and cannot…

Emerging Technologies · Computer Science 2025-11-06 Zhendong Wang , Chenyang Meng , Jun Yang , Jiayuan Wang , Yin Li , Linshan Jiang , Jin Zhang

A new international Pilot Project for the re-determination of the ICRF was initiated by the International VLBI Service for Geodesy and Astrometry (IVS) in January 2005. The purpose of this project is to compare the individual CRF solutions…

Astrophysics · Physics 2009-03-19 Julia Sokolova , Zinovy Malkin

Fourier transforms are an often necessary component in many computational tasks, and can be computed efficiently through the fast Fourier transform (FFT) algorithm. However, many applications involve an underlying continuous signal, and a…

Mathematical Software · Computer Science 2022-09-27 Eric Bezzam , Sepand Kashani , Paul Hurley , Martin Vetterli , Matthieu Simeoni

Inspired by the recent work FedNL (Safaryan et al, FedNL: Making Newton-Type Methods Applicable to Federated Learning), we propose a new communication efficient second-order framework for Federated learning, namely FLECS. The proposed…

Optimization and Control · Mathematics 2022-06-07 Artem Agafonov , Dmitry Kamzolov , Rachael Tappenden , Alexander Gasnikov , Martin Takáč
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