Expertini Research Research

Browse Research Papers

15,683+ open-access research outputs.

✕ Clear
🔍 daniel klee
Showing 15683 results for "daniel klee"
Computer Science Preprint PDF DOI

Line Segment Clipping using Quadrilateral Concavity and Convexity

Bimal Kumar Ray · 2026

This paper proposes an algorithm for clipping line segment against an axis-aligned rectangular window. The conventional algorithms for line segment clipping treat the clipping boundary and/or the line…

Read Paper →
AI & Data Science Preprint PDF DOI

Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers

Kaixiang Shu · 2026

A foundational assumption in CNN interpretability -- that deep encoders suppress background pixels while classifiers merely select from a cleaned feature pool (the Spatial Funnel Hypothesis) -- remain…

Read Paper →
Economics & Finance Preprint PDF DOI

Bootstrap Inference in Nonlinear Panel Data Models with Interactive Fixed Effects

Haoyuan Xu, Wei Miao, Geert Dhaene, Jad Beyhum · 2026

The maximum likelihood estimator in nonlinear panel data models with interactive fixed effects is biased. Several bias correction methods, such as analytical and jackknife approaches, have been propos…

Read Paper →
AI & Data Science Preprint PDF DOI

Population Dynamics in ARIEL Robotics Systems Featuring Embodied Evolution via Spatial Mating Mechanisms

Victoria Peterson, Akshat Srivastava, Raghav Prabhakar · 2026

We present a Spatially Embedded Evolutionary Algorithm where robot individuals exist in a physically simulated 2D environment, must navigate to encounter potential mates, and compete for survival unde…

Read Paper →
AI & Data Science Preprint PDF DOI

Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition

Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley · 2026

Motivated by sensing modalities in modern autonomous systems that involve hardware-constrained spatial sampling over large arrays with limited coherence time, we develop a novel framework for rapid su…

Read Paper →
AI & Data Science Preprint PDF DOI

Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation

Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley · 2026

We consider the problems of computing the optimal rank-$1$ Hankel and Toeplitz-structured approximation of arbitrary matrices under $L_2$ and $L_1$-norm error. Such problems arise naturally in enginee…

Read Paper →
Mathematics Preprint PDF DOI

Recovering Product BMO from Schatten Hankel operators

Konstantinos Bampouras, Karl-Mikael Perfekt · 2026

We prove that if a small Hankel operator on the product Hardy space belongs to some Schatten class $S^p$, $p < \infty$, then it has a symbol in product BMO. In other words, the conclusion of Nehari's …

Read Paper →
Physics Preprint PDF DOI

Exponentially improved quantum simulation of scalar QFT

Qing-Hong Cao, Ying-Ying Li, Xiaohui Liu, Liang-Qi Zhang, Ke Zhao · 2026

Quantum simulations of scalar quantum field theories (QFT) provide important benchmarks for demonstrating quantum advantage. We revisit digitization in the occupation basis, which is typically hindere…

Read Paper →
Computer Science Preprint PDF DOI

Embedded Rust or C Firmware? Lessons from an Industrial Microcontroller Use Case with Ariel OS

Bipin Thapa, Daniele Alfonso, Lorenzo Bini, Licio Mapelli, Kaspar Schleiser, Romain Fouquet, Emmanuel Baccelli · 2026

As Rust gains traction for developing safer systems software, a reality check for the microcontroller hardware segment becomes necessary. How ready is the Rust ecosystem for this segment? Can Rust com…

Read Paper →
Physics Preprint PDF DOI

Tightening energy-based boson truncation bound using Monte Carlo-assisted methods

Jinghong Yang, Christopher F. Kane, Shabnam Jabeen · 2026

Quantum simulation offers a promising framework for quantum field theory calculations. Obtaining reliable results, however, requires careful characterization of systematic uncertainties. One important…

Read Paper →
AI & Data Science Preprint PDF DOI

The Optimal Sample Complexity of Multiclass and List Learning

Chirag Pabbaraju · 2026

While the optimal sample complexity of binary classification in terms of the VC dimension is well-established, determining the optimal sample complexity of multiclass classification has remained open.…

Read Paper →
Economics & Finance Preprint PDF DOI

The Anatomy of a Decentralized Prediction Market: Microstructure Evidence from the Polymarket Order Book

Philipp D. Dubach · 2026

We study the microstructure of Polymarket, the largest on-chain prediction market, using a continuous tick-level archive of the public WebSocket order-book feed (30 billion events over 52 days) joined…

Read Paper →
Mathematics Preprint PDF DOI

Quasi-Monte Carlo with a Hankel random digital net

Takashi Goda, Yang Liu, Raul Tempone · 2026

This paper proposes a new randomized design of digital nets in which the generating matrices are chosen to be random Hankel matrices. Compared with previous randomized designs of digital nets, this ap…

Read Paper →
Physics Preprint PDF DOI

Renormalization-group improved Schwarzschild black hole: shadow, ringdown, and strong cosmic censorship

Ahmad Al-Badawi, Faizuddin Ahmed, Izzet Sakall{i} · 2026

We study a renormalization-group (RG) improved Schwarzschild-like black hole (BH) whose lapse interpolates between a classical Schwarzschild exterior and a quantum-smoothed interior governed by a cuto…

Read Paper →
Computer Science Preprint PDF DOI

The Vehicle May Be Sick: Denial of Diagnostic Services by Exploiting the CAN Transport Protocol

Seungjin Baek, Seonghoon Jeong, Huy Kang Kim · 2026

Vehicle diagnostics has become essential for detecting in-vehicle errors and ensuring safety. While the Unified Diagnostic Services (UDS) protocol is widely adopted for diagnostic operations, it relie…

Read Paper →
AI & Data Science Preprint PDF DOI

Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Osteoarthritis

Azmul A. Irfan, Nur Ahmad Khatim, Alfan Alfian Irfan, Achmad Zaki, Erike A. Suwarsono, Mansur M. Arief · 2026

Radiographic grading of knee osteoarthritis (KOA) with the Kellgren-Lawrence (KL) system is limited by inter-reader variability and the opacity of current deep learning approaches, which predict KL gr…

Read Paper →
AI & Data Science Preprint PDF DOI

H-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading

Chandravardhan Singh Raghaw, Anushka Parwal, Shahid Shafi Dar, Prajakta Darade, Nagendra Kumar · 2026

Knee osteoarthritis (KOA) is a degenerative joint disease that can lead to chronic pain, reduced mobility, and long-term disability. Automated severity grading from knee radiographs can support early …

Read Paper →
Computer Science Preprint PDF DOI

Semantic Denial of Service in LLM-controlled robots

Jonathan Steinberg, Oren Gal · 2026

Safety-oriented instruction-following is supposed to keep LLM-controlled robots safe. We show it also creates an availability attack surface. By injecting short safety-plausible phrases (1-5 tokens) i…

Read Paper →
Mathematics Preprint PDF DOI

On the Third Hankel Determinant for Inverse Coefficients of Starlike Functions: A Bernstein Polynomial Approach

Vasudevarao Allu, Shobhit Kumar · 2026

Let $\mathcal{A}$ denote the class of normalized analytic functions $f$ in the open unit disk defined as $ \mathbb{D}:=\{z\in\mathbb{C}:|z|<1\} $ with $f(0)=0$ and $f'(0)=1$. A function $f\in\…

Read Paper →
Physics Preprint PDF DOI

Scissors modes in generalized Gross-Pitaevskii equations

Neelam Shukla, Oleksandr V. Marchukov, Bastien Humbert, Jan Arlt, Jeremy Armstrong, Artem G. Volosniev · 2026

We investigate scissors modes in nonlinear systems with arbitrary power-law dependence of the nonlinear term. Through analytical derivation, we establish a general expression demonstrating that, in th…

Read Paper →
Page 1 of 785 Next →