cs papers | Gist.Science

Fourier Double Gate Physics-Informed Neural Networks for Multiscale PDE Solutions and Spatiotemporal Field Modeling

This paper proposes the Fourier Double Gate Physics-Informed Neural Network (FDG-PINN), which integrates multiscale Fourier feature encoding, a Double Gate architecture, and adaptive loss weighting to overcome spectral bias and gradient imbalance, thereby achieving superior accuracy in solving multiscale partial differential equations and reconstructing complex spatiotemporal temperature fields.

Guangzheng Zhu, Changgui Gu, Hailing Wang2026-09-04

💻 computer science

An Expert System to Generate Domain-Specific Programs using Natural Language Processing

This paper proposes a domain-specific expert system that leverages natural language processing to automatically generate executable source code from user requirements, demonstrating that restricting the application scope significantly enhances the accuracy and reliability of the generated programs.

Abdo Talab ALGhazali, Sameer Kharaman, Mohammed Mazen AlMahayri2026-09-04

💻 computer science

Exploring Digital Pathology for Tongue Tumour Tissue analysis using machine vision Techniques: An automated Approach

This paper proposes an automated digital pathology framework utilizing a novel Contrast Stretched Convolutional Neural Network (CSCNN) model and advanced image preprocessing techniques to accurately classify and grade tongue tumor tissues, achieving a 98% accuracy rate that outperforms existing state-of-the-art transfer learning models.

Prabhakaran M, Malathy Chidambaranathan, Gayathri M, Protyusha GB2026-09-04

💻 computer science

An Attention-Guided Transfer Learning Framework for Automated Basal Cell Carcinoma Diagnosis from Histopathological Images

This study proposes an attention-guided transfer learning framework that integrates a hybrid channel–spatial attention mechanism with the EfficientNet-B2 architecture to achieve high accuracy, robustness, and interpretability in the automated histopathological diagnosis of basal cell carcinoma.

Alireza Fallahi, Soussan Irani, Arash Dehghan, Seied Parsa Saleh, Hassan Khotanlou2026-09-04

💻 computer science

Dialogical Epistemic Auditing: Tracing Inferential Commitments Across Conversational Turns in Large Language Models

This paper proposes "dialogical epistemic auditing," a qualitative framework for tracing how large language models maintain or alter their inferential commitments across conversational turns, demonstrating through a case series that models often exhibit asymmetric consistency by preserving unattested narratives while retracting factual claims.

Giulio Vidotto2026-09-04

💻 computer science

A Dead Link Is Not Lost Code: Separating Repository Reachability from Deposit Availability in Zenodo Software Citations

This study analyzes 3,837 Zenodo software citations to demonstrate that while most archived files remain accessible even when their source code repositories become unreachable, a significant portion of broken citations stem from dead repository pointers rather than lost software, highlighting a critical distinction between repository availability and deposit integrity.

Emil Huseynov2026-09-04

💻 computer science

Iterative tensor network transformations for element-wise evaluation of elementary and filtering functions

This paper introduces Iterative Tensor Network Transformations (ITNTs), a novel framework that enables efficient, element-wise evaluation of nonlinear functions directly on compressed tensor train data, thereby overcoming previous limitations in applying tensor networks to general data science and large-scale optimization tasks.

Tomohiro Hashizume, Xiao Wang, Pia Siegl, Dieter Jaksch2026-09-04

💻 computer science

Signing Twice Is Forever: State-Management Discipline for Stateful Hash-Based Signatures Under Operational Faults

This paper evaluates state-management disciplines for stateful hash-based signatures (XMSS and LMS) under operational faults, demonstrating that only transactional claim strategies prevent catastrophic key reuse while revealing that snapshot rollback protection requires external monotonic anchors and that batched leasing offers the only safe, low-latency solution for LMS despite significant performance penalties in unpatched software libraries.

Arpan Sharma2026-09-04

💻 computer science

Algebraic Prognostics via fr-Codes: Tracking Truncated Factor Dimensions in Turbofan Degradation

This paper proposes a training-free, algebraic prognostic framework using fr-codes and finitely presented groups to track turbofan engine degradation by quantizing sensor data into discrete states and monitoring drops in the dimension of a truncated factor algebra as a deterministic indicator for remaining useful life prediction.

MAKSIM KHOTINSKIY2026-09-04

💻 computer science

An Explainable Agentic RAG Framework for Zero-Shot Phishing and Web Attack Detection

The paper introduces XAR-Detect, an explainable agentic RAG framework that leverages a DeBERTa encoder, dynamic threat signature retrieval, and autonomous reasoning to achieve high-accuracy, zero-shot detection of phishing and web attacks with transparent justifications, significantly outperforming existing state-of-the-art methods without requiring retraining.

Mohammad Zahangir Alam, Mahdi H Miraz, Elhan Ayath, Sharmin Sultana, Nowshad Amin2026-09-04

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