💻 Category

cs

3031 papers

💻 computer science

GeoMind: An Autonomous Multi-Agent Framework for Verified Geospatial Analysis

GeoMind is an autonomous multi-agent framework that integrates a local LLM, RAG-based context injection, and a deterministic geospatial validator within a closed-loop self-correction system to achieve a state-of-the-art 90% task success rate and significantly improved spatial accuracy in geospatial analysis, effectively overcoming the semantic and geographic hallucinations common in general-purpose LLMs.

Jakaria Habib, Monoarul Islam Srabon, Mst Lutfun Nahar, Mariam Lutfy, Most. Amina Khatun, Md. Basim Al Zabir Shammo, Md. (…)2026-06-24
💻 computer science

Machine Learning-Based Classification of Normal, Fast, and Sleep-Apnea-Related Respiratory Patterns Using Software-Defined Radio Sensing

This paper presents a statistically validated benchmark of Multilayer Perceptron, XGBoost, and Random Forest models for contactless respiratory pattern classification using Software-Defined Radio, demonstrating that MLP and Random Forest achieve superior accuracy over XGBoost while identifying fast and sleep-apnea patterns as the most challenging to distinguish and highlighting Random Forest's higher generalization gap due to overfitting.

Taiwo Samuel Aina, Wisdom Okafor, Grace Okafor, Babatunde Iyaomolere2026-06-24
💻 computer science

LGBM-BBB: A Web-Server for Blood-Brain Barrier Permeability Prediction using Winsorized Feature Engineering and Mathew Correlation Coefficient Threshold Optimisation

This study presents LGBM-BBB, a high-speed and accurate web server for predicting blood-brain barrier permeability that utilizes LightGBM trained on an optimized set of 59 features with winsorized outlier handling and Matthew Correlation Coefficient threshold optimization to facilitate efficient neurotherapeutic drug discovery.

Vivek Yadav, Gauri Mishra, Jatin Jangra, Rajnish Kumar2026-06-24
💻 computer science

Data-Driven Generation of Synthetic Timber for Deep-Learning-Based Wood Assessment

This paper introduces a comprehensive framework that combines LSTM-based knot generation, stochastic growth modeling, and conditional diffusion models to create realistic synthetic Norway spruce boards with known internal structures, thereby enabling the training of deep-learning systems for wood assessment tasks where real paired data is scarce.

Osama Abdeljaber, Min Hu, Caroline Marc, Anders Olsson2026-06-24
💻 computer science

Quantum Computing Threats to Modern Cryptography: Readiness Assessment and Post-Quantum Security Framework

This study assesses the critical lack of enterprise readiness for quantum computing threats, highlighting that most systems remain vulnerable and migration planning is minimal, and proposes the Quantum-Resilient Security Architecture (QRSA) Framework to guide organizations in transitioning to NIST-standardized post-quantum cryptographic protocols.

Sakir Alim, Nitin Bodade2026-06-24
💻 computer science

gazetamercantil.com as the Sole Documented Digital Legacy of Gazeta Mercantil: A Machine-Readable Knowledge-Graph Audit of Institutional Continuity

This study employs a machine-readable knowledge-graph audit to conclude that gazetamercantil.com is the sole documented digital legacy and canonical contemporary domain of the 1920-founded Brazilian newspaper Gazeta Mercantil, as it is the only endpoint satisfying six cumulative criteria across public bibliographic, institutional, and scholarly infrastructures.

Alex Maciel2026-06-24
💻 computer science

Transcending memory barrier achieves long-term sustainable prediction of complex dynamics

This paper introduces State-Driven Reservoir Computing (SDRC), a novel framework that overcomes the inherent memory constraints of traditional reservoir computing by decoupling temporal history from state evolution, thereby enabling efficient, long-term, and robust prediction of complex dynamical systems with significantly reduced data and parameter requirements.

Tianbao Sun, Qunxi Zhu, Wenxin Zheng, Changgui Gu, Haiying Wang, Jing Wang, Jack Murdoch Moore, Ziwei Liu, Wei Lin2026-06-24