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Sociology & Anthropology Preprint PDF DOI

Crowd Dynamics in Historical Perspective: Reframing the Amritsar Massacre through Agent-Based Modelling and Social Psychology

Mohcine Chraibi, Krisztina Konya, Ezel Usten · 2026

Crowds have long held a paradoxical place in the human imagination, feared for their destructive potential yet essential for collective expression. This tension was tragically manifested in the 1919 J…

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AI & Data Science Preprint PDF DOI

The Inverse-Wisdom Law: Architectural Tribalism and the Consensus Paradox in Agentic Swarms

Dahlia Shehata, Ming Li · 2026

As AI transitions toward multi-agent systems (MAS) to solve complex workflows, research paradigms operate on the axiomatic assumption that agent collaboration mirrors the "Wisdom of the Crowd". We cha…

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Sociology & Anthropology Preprint PDF DOI

A well-motivated model of pedestrian dynamics

Ezel Usten, Anna Sieben, Mohcine Chraibi, Armin Seyfried · 2026

In pedestrian dynamics, the internal drive that propels individuals toward their goals is typically captured by a single, fixed parameter, the desired walking speed. This simplification overlooks that…

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Computer Science Preprint PDF DOI

"The Worst Weather In America": Augmenting the Information Design of Extreme Cold Weather Forecasts

Michael Correll, Jay Broccolo, Drew Bush · 2026

Mount Washington is home to extreme, and extremely volatile, weather conditions. Consulting a weather forecast of conditions at the summit is vital for making one's visit as safe as possible. Using th…

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AI & Data Science Preprint PDF DOI

RACANet: Reliability-Aware Crowd Anchor Network for RGB-T Crowd Counting

Jinghao Shi, Mengqi Lei, Kunliang He, Yun Li, Wei Bao, Siqi Li · 2026

RGB-Thermal (T) crowd counting aims to integrate visible-spectrum and thermal infrared information to improve the robustness of crowd density estimation in complex scenes. Although existing studies ge…

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AI & Data Science Preprint PDF DOI

Focus on What Matters: Two-Stage ROI-Aware Refinement for Anatomy-Preserving Fetal Ultrasound Reconstruction

Ines Abbes, Mahmood Alzubaidi, Mowafa Househ, Khalid Alyafei, Marco Agus, Samir Brahim Belhaouari · 2026

Measurement-critical ultrasound tasks often depend on a small anatomical region, making global reconstruction metrics an unreliable proxy for clinical fidelity. We propose an ROI-aware representation …

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AI & Data Science Preprint PDF DOI

An Analysis of Active Learning Algorithms using Real-World Crowd-sourced Text Annotations

Varun Totakura, Ankita Singh, Yushun Dong, Shayok Chakraborty · 2026

Active learning algorithms automatically identify the most informative samples from large amounts of unlabeled data and tremendously reduce human annotation effort in inducing a machine learning model…

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Computer Science Preprint PDF DOI

Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations

Lukas Hrdonka, Martin Jurecek · 2026

Malware development and detection have undergone significant changes in recent years as modern concepts, such as machine learning, have been used for both adversarial attacks and defense. Despite inte…

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AI & Data Science Preprint PDF DOI

Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models

Chee Wei Tan, Yuchen Wang, Shangxin Guo · 2026

This paper introduces a new paradigm for AI game programming, leveraging large language models (LLMs) to extend and operationalize Claude Shannon's taxonomy of game-playing machines. Central to this p…

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Mathematics Preprint PDF DOI

Minimal time for null controllability of the parabolic spherical Baouendi-Grushin equation

Cyprien Tamekue · 2026

We study null controllability for the parabolic equation on $\mathbb{S}^{2}$ endowed with its canonical almost-Riemannian structure. For a spherical crown $\omega=\{\alpha<x_3<\beta\}$, where $0\le \a…

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Computer Science Preprint PDF DOI

CROWDio: A Practical Mobile Crowd Computing Framework with Developer-Oriented Design, Adaptive Scheduling, and Fault Resilience

Lakshani Manamperi, Disumi Pathirana, Thiwanka Pathirana, Nipun Premarathna, Kutila Gunasekara · 2026

Mobile Crowd Computing (MCdC) leverages the idle computational capacity of consumer smartphones to enable distributed task processing at scale; however, widespread real-world adoption remains constrai…

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AI & Data Science Preprint PDF DOI

Multi-view Crowd Tracking Transformer with View-Ground Interactions Under Large Real-World Scenes

Qi Zhang, Jixuan Chen, Kaiyi Zhang, Xinquan Yu, Antoni B. Chan, Hui Huang · 2026

Multi-view crowd tracking estimates each person's tracking trajectories on the ground of the scene. Recent research works mainly rely on CNNs-based multi-view crowd tracking architectures, and most of…

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Engineering Preprint PDF DOI

LiDAR-based Crowd Navigation with Visible Edge Group Representation

Allan Wang, Aaron Steinfeld · 2026

Robot navigation in crowded pedestrian environments is a well-known challenge and we explore the practical deployment of group-based representations in this setting. Pedestrian groups have been empiri…

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AI & Data Science Preprint PDF DOI

Fusing Cellular Network Data and Tollbooth Counts for Urban Traffic Flow Estimation

Oluwaleke Yusuf, Shaira Tabassum · 2026

Traffic simulations, essential for planning urban transit infrastructure interventions, require vehicle-category-specific origin-destination (OD) data. Existing data sources are imperfect: sparse toll…

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AI & Data Science Preprint PDF DOI

Granularity-Aware Transfer for Tree Instance Segmentation in Synthetic and Real Forests

Pankaj Deoli, Atef Tej, Anmol Ashri, Anandatirtha JS, Karsten Berns · 2026

We address the challenge of synthetic-to-real transfer in forestry perception where real data have only coarse Tree labels while synthetic data provide fine-grained trunk/crown annotations. We introdu…

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Computer Science Preprint PDF DOI

Head Count: Privacy-Preserving Face-Based Crowd Monitoring

Fatemeh Marzani, Thijs van Ede, Geert Heijenk, Maarten van Steen · 2026

An important aspect of crowd monitoring is knowing how many people we are dealing with. Sometimes, knowing the size of a crowd in a single location and at a specific moment is enough. Matters become p…

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Physics Preprint PDF DOI

Nonlocal photonic time crystals: Infinite momentum bandgaps with minimal modulation speed and strength

Mohammadreza Salehi, Matteo Ciabattoni, Francesco Monticone · 2026

For over a decade, photonic time crystals have promised access to novel and exotic optical phenomena, offering fundamentally new ways to manipulate classical and quantum light. Central to these capabi…

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Computer Science Preprint PDF DOI

Constant-Factor Approximation for the Uniform Decision Tree

Micha{l} Szyfelbein · 2026

We resolve a long-standing open question, about the existence of a constant-factor approximation algorithm for the average-case \textsc{Decision Tree} problem with uniform probability distribution ove…

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Engineering Preprint PDF DOI

MR.ScaleMaster: Scale-Consistent Collaborative Mapping from Crowd-Sourced Monocular Videos

Hyoseok Ju, Giseop Kim · 2026

Crowd-sourced cooperative mapping from monocular cameras promises scalable 3D reconstruction without specialized sensors, yet remains hindered by two scale-specific failure modes: abrupt scale collaps…

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Engineering Preprint PDF DOI

Speech-preserving active noise control: a deep learning approach in reverberant environments

Shuning Dai · 2026

Traditional Active Noise Control (ANC) systems are mostly based on FxLMS algorithms, but such algorithms rely on linear assumptions and are often limited in handling broadband non-stationary noise or …

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