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Recently, 3D Gaussian Splatting (3D-GS) has prevailed in novel view synthesis, achieving high fidelity and efficiency. However, it often struggles to capture rich details and complete geometry. Our analysis reveals that the 3D-GS…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Yanzhe Lyu , Kai Cheng , Xin Kang , Xuejin Chen

In tunnel boring machine (TBM) underground projects, an accurate description of the rock-soil types distributed in the tunnel can decrease the construction risk ({\it e.g.} surface settlement and landslide) and improve the efficiency of…

Machine Learning · Computer Science 2022-12-05 Hao Wang , Lixue Liu , Xueguan Song , Chao Zhang , Dacheng Tao

Modern computing workloads commonly involve matrix-matrix multiplication (mmul) as a core computing pattern. Coarse-Grained Reconfigurable Arrays (CGRAs) can flexibly and efficiently support it, since they combine operation-level…

Hardware Architecture · Computer Science 2026-04-29 Yuxuan Wang , María José Belda , Fernando Castro , Katzalin Olcoz , David Atienza , Giovanni Ansaloni

The LIGO, Virgo, and KAGRA (LVK) gravitational-wave observatories have opened new scientific research in astrophysics, fundamental physics, and cosmology. The collaborations that build and operate these observatories release the…

General Relativity and Quantum Cosmology · Physics 2026-01-23 Gregory Ashton

Continual Graph Learning (CGL) enables models to incrementally learn from streaming graph-structured data without forgetting previously acquired knowledge. Experience replay is a common solution that reuses a subset of past samples during…

Machine Learning · Computer Science 2026-03-31 Qiao Yuan , Sheng-Uei Guan , Pin Ni , Tianlun Luo , Ka Lok Man , Prudence Wong , Victor Chang

Stereo depth estimation is used for many computer vision applications. Though many popular methods strive solely for depth quality, for real-time mobile applications (e.g. prosthetic glasses or micro-UAVs), speed and power efficiency are…

Image and Video Processing · Electrical Eng. & Systems 2019-08-09 Oscar Rahnama , Tommaso Cavallari , Stuart Golodetz , Simon Walker , Philip H. S. Torr

Automatic and adaptive approximation, optimization, or integration of functions in a cone with guarantee of accuracy is a relatively new paradigm. Our purpose is to create an open-source MATLAB package, Guaranteed Automatic Integration…

Mathematical Software · Computer Science 2015-03-25 Sou-Cheng T. Choi , Yuhan Ding , Fred J. Hickernell , Lan Jiang , Lluís Antoni Jiménez Rugama , Xin Tong , Yizhi Zhang , Xuan Zhou

Graph anomaly detection faces significant challenges due to the scarcity of reliable anomaly-labeled datasets, driving the development of unsupervised methods. Graph autoencoders (GAEs) have emerged as a dominant approach by reconstructing…

Machine Learning · Computer Science 2025-06-03 Chunyu Wei , Wenji Hu , Xingjia Hao , Yunhai Wang , Yueguo Chen , Bing Bai , Fei Wang

Retrieval-Augmented Generation (RAG) has significantly mitigated the hallucinations of Large Language Models (LLMs) by grounding the generation with external knowledge. Recent extensions of RAG to graph-based retrieval offer a promising…

Machine Learning · Computer Science 2025-09-23 Jialin Chen , Houyu Zhang , Seongjun Yun , Alejandro Mottini , Rex Ying , Xiang Song , Vassilis N. Ioannidis , Zheng Li , Qingjun Cui

Charged-particle reconstruction is a fundamental part of the event reconstruction in modern multi-purpose high-energy physics detectors. This paper describes the algorithms used to reconstruct charged particles and primary vertices with the…

Instrumentation and Detectors · Physics 2026-05-11 ATLAS Collaboration

Micro-pattern gas detectors, such as the Gas Electron Multiplier (GEM) and the Micromegas need narrow high density anode readout elements to achieve good spatial resolution. A high-density anode readout would require an unmanageable number…

Instrumentation and Detectors · Physics 2011-07-19 M. S. Dixit , J. Dubeau , J. -P. Martin , K. Sachs

In this paper, we introduce PASGAL (Parallel And Scalable Graph Algorithm Library), a parallel graph library that scales to a variety of graph types, many processors, and large graph sizes. One special focus of PASGAL is the efficiency on…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-29 Xiaojun Dong , Yan Gu , Yihan Sun , Letong Wang

Integrating Retrieval Augmented Generation (RAG) with Large Language Models (LLMs) has shown the potential to provide precise, contextually relevant responses in knowledge intensive domains. This study investigates the ap-plication of RAG…

Artificial Intelligence · Computer Science 2025-05-26 Salahuddin Alawadhi , Noorhan Abbas

Retrieval-augmented generation (RAG) combines document retrieval with large language models to produce responses grounded in external evidence. While several R packages support core components of RAG workflows, integrated evaluation of RAG…

Computation · Statistics 2026-04-28 Muhammad Aimal Rehman , Zhili Lu , Chi-Kuang Yeh

Active targets such as ACTAR TPC are well suited for studying giant resonances in unstable nuclei via inelastic scattering in inverse kinematics. A key challenge in such measurements is the detection of low-energy ejectiles emitted at small…

Data Analysis, Statistics and Probability · Physics 2025-12-19 A. Arokiaraj , M. B. Latif , R. Raabe , D. Thisse , M. Vandebrouck

The Solenoidal Tracker At RHIC (STAR) uses the Time Projection Chamber (TPC) to perform tracking and particle identification. In order to improve the corrections (such as space charge) and monitor non-static distortions of the TPC,…

Instrumentation and Detectors · Physics 2018-06-12 N Ermakov

Gas Electron Multiplier (GEM) detectors, typically featuring a standard pitch size of 140 $\mu$m and an inner hole diameter of 50 $\mu$m, are extensively utilized in high-energy physics experiments for tracking, triggering, and timing…

High Energy Physics - Experiment · Physics 2025-05-07 Rajiv Gupta , Gauri Devi , Sunidhi Saxena , Arpit Singh , Ajay Kumar

In compressible fluid flow, reconstructing shocks, discontinuities, rarefactions, and their interactions from sparse measurements is an important inverse problem with practical applications. Moreover, physics-informed machine learning has…

Fluid Dynamics · Physics 2025-05-28 Rami Cassia , Rich Kerswell

This paper presents an underlying framework for both automating and accelerating malware classification, more specifically, mapping malicious executables to known Advanced Persistent Threat (APT) groups. The main feature of this analysis is…

Cryptography and Security · Computer Science 2025-04-23 Noah Subedar , Taeui Kim , Saathwick Venkataramalingam
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