A new machine learning framework designed to detect malicious interference in unmanned aerial vehicles (UAVs), commonly known as drones, has shown strong performance in identifying both sudden and ...
Abstract: Illicit activities and coordinated manipulations in the Non-Fungible Tokens (NFT) market remain significant concerns, driven by the pseudonymous and publicly transparent nature of blockchain ...
Chances are you know the climate is changing and that means trouble. But what exactly is driving the climate crisis, how bad are things now and how much worse could they get? To answer those questions ...
The research “Detecting Financial Fraud in Real-Time Transactions Using Graph Neural Networks and Anomaly Detection Techniques” presents an AI-driven system for real-time fraud detection in digital ...
Temporal networks capture systems whose interactions occur as time-stamped events, where resilience depends on whether time-respecting connectivity can be maintained under disruptions. Existing ...
The Sun looks steady from 93 million miles away. It rises, sets, and warms the planet. But under that bright surface, it never really sits still. Every 11 years, the Sun moves through a cycle of ...
Sleep Cycle and CMU's Delphi Group have announced a research collaboration focused on understanding how privacy-preserved data and sleep-based signals, such as nighttime cough patterns, may complement ...
Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...
We have compared the four temporal modes of the gravity field with the six temporal modes of the magnetic field one by one. The main principal components of the core magnetic and gravity signals ...
Existing graph-based methods for anti-money laundering (AML) in blockchain systems primarily focus on structural connectivity or simple temporal encodings, yet they overlook a critical dimension: the ...
Given numCourses (total number of courses) and a list of prerequisites, where prerequisites[i] = [a, b] indicates that course a requires course b to be taken first, determine if it is possible to ...
I constructed a pangenome graph using cactus-pangenome for a fungal species (using 7 long read assemblies, including a reference genome). The pipeline ran perfectly, producing the expected .hal, .gfa, ...