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🔍 graeme smith 📂 Computer Science
Showing 2695 results for "graeme smith" in Computer Science
Computer Science Preprint PDF DOI

LZn : Robust LoRa Frame Synchronization Under Frame Collisions and Ultra-Low SNR Conditions

Jose Alamos, Thomas C. Schmidt, Matthias Wahlisch · 2026

LoRa has become a widely adopted wireless modulation scheme in LPWANs due to its low cost, long range, and minimal transmission power. However, collisions between frames of the same spreading factor -…

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Computer Science Preprint PDF DOI

Rank Distribution and Dynamics of Gram Matrices from Binary m-Sequences with Applications to LCD Codes

Hengfeng Liu, Chunming Tang, Cuiling Fan, Zhengchun Zhou · 2026

The Gram matrix is a classical object formed from the pairwise inner products of a collection of vectors, with fundamental roles in functional analysis, statistics, combinatorics, and coding theory. I…

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Computer Science Preprint PDF DOI

Practical Insights into Fair Comparison and Evaluation Frame for Neutral-Atom Compilers

Emil Khusainov, Yanbin Chen, Jonas Winklmann, Helmut Seidl, Christian B. Mendl · 2026

Neutral-atom quantum computing is among the most promising platforms for scalable quantum computation, and compilation toolchains are crucial for leveraging capabilities such as qubit shuttling and pa…

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Computer Science Preprint PDF DOI

The Constructive $\mu$-calculus: Game Semantics and Non-Wellfounded Proof Systems

Leonardo Pacheco · 2026

We study a variant of the modal $\mu$-calculus based on the constructive modal logic $\mathsf{CK}$. We define game semantics for the constructive $\mu$-calculus and prove its equivalence to the birela…

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Computer Science Preprint PDF DOI

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems

Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Masoud Mansoury, Duc-Trong Le, Hoang-Quynh Le · 2026

Counterfactual explanations (CEs) provide an intuitive way to understand recommender systems by identifying minimal modifications to user-item interactions that alter recommendation outcomes. Existing…

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Computer Science Preprint PDF DOI

Refresher Training through Digital and Physical, Card-Based Game for Accredited Social Health Activists (ASHAs) and Anganwadi Workers (AWWs) in India

Arka Majhi, Aparajita Mondal, Satish B. Agnihotri · 2026

India's recent health surveys have highlighted a worrying trend of incomplete child immunization rates across several district clusters in India. Conventional training methods for community healthcare…

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Computer Science Preprint PDF DOI

React-ing to Grace Hopper 200: Five Open-Weights Coding Models, One React Native App, One GH200, One Weekend

Alex Potanin · 2026

We evaluate five state-of-the-art open-weights coding language models -- Kimi-K2.5 (at Q3 and Q4 quantizations), GLM-5.1, Qwen3-Coder-480B, and DeepSeek-V3.2 -- on a single multi-file React Native app…

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Computer Science Preprint PDF DOI

A Stackelberg Game Framework with Drainability Guardrails for Pricing and Scaling in Multi-Tenant GPU Cloud Platforms

Junji Yan, Asrin Efe Yorulmaz, Hanchen Zhou, Tamer Basar · 2026

Modern Graphics Processing Unit (GPU)-backed services must satisfy strict latency service-level objectives (SLOs) while controlling spare-capacity cost. In multi-tenant GPU cloud platforms, this trade…

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Computer Science Preprint PDF DOI

Why Open Source? A Game-Theoretic Analysis of the AI Race

Andjela Mladenovic, Aaron Courville, Gauthier Gidel · 2026

In recent years, with the advancement of frontier AI, we have observed certain dynamics in open-sourcing and closed-sourcing decisions. We propose a game-theoretic model to analyze these dynamics in t…

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Computer Science Preprint PDF DOI

Evolution of Lane-Changing Behavior in Mixed Traffic: A Quantum Game Theory Approach

Sungyong Chung, Tina Radvand, Alireza Talebpour · 2026

As automated vehicles (AVs) enter mixed traffic, proactively anticipating the evolution of human driving behavior during critical interactions, such as lane changes, is essential. However, classical E…

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Computer Science Preprint PDF DOI

Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework

Xiping Li, Jianghong Ma, Kangzhe Liu, Shanshan Feng, Haijun Zhang, Yutong Wang · 2026

In recent years, the video game industry has experienced substantial growth, presenting players with a vast array of game choices. This surge in options has spurred the need for a specialized recommen…

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Computer Science Preprint PDF DOI

CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations

Xiping Li, Aier Yang, Jianghong Ma, Kangzhe Liu, Shanshan Feng, Haijun Zhang, Yi Zhao · 2026

The rapid expansion of gaming industry requires advanced recommender systems tailored to its dynamic landscape. Existing Graph Neural Network (GNN)-based methods primarily prioritize accuracy over div…

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Computer Science Preprint PDF DOI

E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning

Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Minghua He, Chiming Duan, Zhaoyang Liu, Bolin Ding, Ying Li · 2026

Contemporary microservice systems continue to grow in scale and complexity, leading to increasingly frequent and costly failures. While recent LLM-based auto-remediation approaches have emerged, they …

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Computer Science Preprint PDF DOI

A Non-Probabilistic Game-Theoretic Information Theory Which Subsumes Probabilistic Channel Coding

Cheuk Ting Li · 2026

Probabilistic settings (e.g., vanishing-error channel coding) and non-probabilistic settings (e.g., zero-error channel coding and adversarial channels) were considered two related but different branch…

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Computer Science Preprint PDF DOI

Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game

Yuanbo Xie, Yingjie Zhang, Yulin Li, Shouyou Song, Xiaokun Chen, Zhihan Liu, Liya Su, Tingwen Liu · 2026

Retrieval-Augmented Generation (RAG) systems augment large language models with external knowledge, yet introduce a critical security vulnerability: RAG Knowledge Base Leakage, wherein adversarial pro…

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Computer Science Preprint PDF DOI

Infernux: A Python-Native Game Engine with JIT-Accelerated Scripting

Lizhe Chen · 2026

This report describes Infernux, an open-source game engine that pairs a C++17/Vulkan real-time core with a Python production layer connected through a single pybind11 boundary. To close the throughput…

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Computer Science Preprint PDF DOI

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization

Tianhao Tang, Haoyang Li, Lei Chen · 2026

Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation. However, their immense number of parameters and complex transformer-based archi…

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Computer Science Preprint PDF DOI

MIMIC-Py: An Extensible Tool for Personality-Driven Automated Game Testing with Large Language Models

Yifei Chen, Sarra Habchi, Lili Wei · 2026

Modern video games are complex, non-deterministic systems that are difficult to test automatically at scale. Although prior work shows that personality-driven Large Language Model (LLM) agents can imp…

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Computer Science Preprint PDF DOI

Personalization as a Game: Equilibrium-Guided Generative Modeling for Physician Behavior in Pharmaceutical Engagement

Suyash Mishra · 2026

We present \textbf{EGPF} (Equilibrium-Guided Personalization Framework), a mathematically rigorous architecture unifying Bayesian game theory, category theory, information theory, and generative AI fo…

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Computer Science Preprint PDF DOI

Understanding Clinician Experiences with Game-Based Interventions for Autistic Children to Inform a Future Game Platform Focused on Improving Motor Skills

Hunter M Beach, Devin Jay D San Nicolas, Carly Miller, Cathy Ly, Jared Duval · 2026

Motor challenges are prevalent among autistic children, and games are able to simultaneously produce clinically meaningful results and provide a motivating context, but many current solutions are too …

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