13 papers · ranked by Valyu relevance
Hanjie Xu, Jian Xiong, Jinyu Wu, Xianlai Zhou + 2 more
The Ivy Algorithm (IVYA), a swarm intelligence algorithm inspired by plant growth, presents a novel framework for optimization. To unlock its full potential in complex, high-dimensional problems, it is crucial to address the fundamental challenge of balancing exploration and exploitation, which can impact overall…
Fabian Woller, Lis Arend, Christian Fuchsberger, Markus List + 1 more
For all implemented statistical tests, NApy provides the flexibility to execute computations using either the C++ implementation with OpenMP parallelization or the Numba-parallelized version. This functionality is controlled via the parameter use_numba, which is integrated into all statistical test functions. We…
Alistair Benford, Per Kristian Lehre
Due to their complex dynamics, combinatorial games are a key test case and application for algorithms that train game playing agents. Among those algorithms that train using self-play are coevolutionary algorithms (CoEAs). However, the successful application of CoEAs for game playing is difficult due to pathological…
Jian Woo, Seungmin Lee, Inseok Park, Sejong Lee + 2 more
Quishing, a form of phishing conducted through QR codes, has emerged as a critical threat to user information security in mobile environments. Quishing attacks exploit the QR scanning workflow by opening malicious URLs in WebView and impersonating legitimate services to steal user credentials. Recent variants further…
Rishita Verma, Gaurav Indra, Abhishek Kumar Pandey, Ashok Kumar Das + 1 more
In the Industry 5.0 paradigm, collaborative intelligence, human-machine cooperation, and real-time cognitive automation have increased the dependence of industrial systems on secure and uninterrupted Industrial Internet of Things (IIoT) connectivity. However, this convergence also expands the cyberattack surface and…
Kuanjiu Lei, Yaojie Li, Shitong Hou, Wenlong Yan + 3 more
Edge computing plays an important role in structural health monitoring (SHM) for transportation infrastructure because it enables local data processing and low-latency decision support. However, SHM systems encounter challenges due to data anomalies caused by sensor faults, transmission errors, or irregular structural…
Haoran Sun, Likai Liang, Zhongrui Wang
Graph Neural Networks (GNNs) have become essential for analyzing graph-structured data, yet their deployment on resource-constrained edge devices is severely limited by high computational complexity and irregular memory access patterns. Here, we introduce DynamiGraph, a specialized FPGA-based overlay accelerator…
Petar Radanliev, Omar Santos, Carsten Maple, Kayvan Atefi
Introduction Agentic AI systems integrate foundation models, prompt templates, tool connectors, orchestration logic, and containerised dependencies, creating exploitability conditions that cannot be inferred from static Software Bills of Materials (SBOMs). Artificial Intelligence Bills of Materials (AIBOM) extend…
Annika Swenne, Timm Intemann, Luis A. Moreno, Iris Pigeot
Background The generalized additive model for location, scale and shape (GAMLSS) is a flexible regression model with a wide range of applications. In particular, it is the standard method to estimate age-specific percentile curves for clinical parameters for children and adolescents. Deriving international percentile…
Norkobil Saydirasulov Saydirasulovich, Dilmurod Abdujalilovich Davronbekov, Makhmudov Makhsum Mubashirovich, Young Im Cho + 1 more
Which runtime governance mechanisms reduce physical risk when a learned controller drives a building’s climate, and under what conditions? We develop a closed-loop software-in-the-loop testbed in which a setpoint model trained on real occupancy data drives a physics-based thermal zone through a declarative governance…
Zhenyu Li, Yong Ding, Ruwen Zhao, Shuo Wang + 2 more
With the widespread deployment of Industrial Cyber-Physical Systems (ICPS), their inherent vulnerabilities have increasingly exposed them to sophisticated cybersecurity threats. Although existing protective mechanisms can block attacks at runtime, the risk of defense failure remains. To proactively evaluate and harden…
Sajid Mehmood, Aqleema Arooj, Ahmad Sami Al-Shamayleh, Samera Batool + 4 more
The high rate of increase in the deep learning tasks as well as heterogeneous computing systems necessitates compilers that achieve low compile time and high performance. The current state of the art in the use of tensor compilers is based on exhaustive search, a slow and prohibitive process, or heuristics at the…
JungWoo Park, Minju Kang, Seungho Jeon, Seong Oun Hwang + 4 more
Fault localization (FL) is the task of identifying code locations responsible for bugs in software, and it is a prerequisite step in the bug-fixing process. FL in large-scale systems such as the Linux kernel involves three core challenges: First, the vast codebase fundamentally complicates fault search. Second, the…