IEEE

Identification of Modal Parameters Using an Improved Sparse Blind Source Separation Method

Abstract: During the past decade, blind source separation (BSS) method has become an effective tool to characterize and identify modal parameters of linear systems. However, in practical engineering, ...
Microsoft

Developer-targeting campaign using malicious Next.js repositories

A developer-targeting campaign leveraged malicious Next.js repositories to trigger a covert RCE-to-C2 chain through standard ...
IEEE

Distributed Foundation Models for Multi-Modal Learning in 6G Wireless Networks

Abstract: Benefiting from the ability to process and integrate data from various modalities, multi-modal foundation models (FMs) facilitate potential applications across a range of fields, including ...

Fake CAPTCHA Scam Tricks Windows Users Into Installing Malware

A fake CAPTCHA scam is tricking Windows users into running PowerShell commands that install StealC malware and steal passwords, crypto wallets, and more.

TIOBE Index for February 2026: Specialized Languages Gain Ground as Python’s Lead Eases

February 2026 TIOBE Index shows Python still far ahead, C strengthening in second, C# rising, and R holding the top 10 as rankings compress.
GitHub

CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation

This repository is the official implementation of CMFS, a unified framework that leverages CLIP-guided modality interaction to mitigate noise in multi-modal image fusion and segmentation.
GitHub

This is official Pytorch implementation of DRMF: Degradation-Robust Multi-Modal Image Fusion via Composable Diffusion Prior (ACM MM 2024).

@inproceedings{Tang2024DRMF, title={DRMF: Degradation-Robust Multi-Modal Image Fusion via Composable Diffusion Prior}, author={Tang, Linfeng and Deng, Yuxin and Yi, Xunpeng and Yan, Qinglong and Yuan, ...