cs papers | Gist.Science

A data-driven classifier integrating symmetric intuitionistic fuzzy TOPSIS with self-interactive sequential three-way decision

This paper proposes a data-driven, loss-function-free binary classifier that integrates symmetric intuitionistic fuzzy TOPSIS with self-interactive sequential three-way decision to overcome existing limitations by utilizing objective attribute weights, balanced distance measurements, and an internal feedback loop for adaptive thresholding, thereby enhancing classification performance and robustness.

Yangyang Guo, Wenyan Xu, Qiang Chen2026-07-03

💻 computer science

Automatic Identification of Maxaatiri and Maay Somali Dialects from Speech Using Mel-Spectrogram-Based Convolutional Neural Networks

This study presents a preliminary deep learning framework using mel-spectrogram-based convolutional neural networks to automatically distinguish between Maxaatiri and Maay Somali dialects, achieving approximately 81% accuracy on a small, broadcast-derived dataset while highlighting the need for larger, more diverse data to ensure generalizability.

Mohamed Mohamud Ali2026-07-03

💻 computer science

Prospective validation of NeutrinoReview for LLM-assisted systematic review screening: an indoor air quality case study

This prospective study demonstrates that the NeutrinoReview tool, utilizing a self-hosted LLaMA 3.1-8B model, can reduce systematic review screening workload by up to 74% without missing any included records, though the authors recommend its use as a conservative adjunct to human screening pending further validation across diverse settings.

Elias Sandner, Luca Fontana, Michael T. Solomon, Sumeya B. Abdella, Elisa Caracci, Luca Stabile, Giorgio Buonanno, Alice (…)2026-07-03

💻 computer science

A Reliability-Guided RGB-IR Object Detection Network with Complementary Information Decoupling for Autonomous Driving

This paper proposes FSMF, a reliability-guided RGB-IR object detection network for autonomous driving that employs a reliability-guided modulation module, a complementary information decoupling module, and a scale-aware fusion pyramid to effectively address illumination and texture challenges, achieving state-of-the-art performance on M3FD and FLIR datasets.

Miaomiao Yang, Fan Guo, Lin Cheng, Ping Fang2026-07-03

💻 computer science

AgriMemSynth: a synthetic benchmark for memory and multi-hop reasoning in agricultural question answering

The paper introduces AgriMemSynth, a synthetic benchmark framework comprising conversational and multi-hop reasoning datasets to evaluate agricultural AI systems, revealing that retrieval organization strategies are task-dependent and that lexical metrics often underestimate answer correctness.

Nur Arifin Akbar, Rahool Dembani, Biagio Lenzitti, Domenico Tegolo2026-07-03

💻 computer science

Meta-Level Based Recommender System Using Knowledge Graph-based Neural Collaborative Filtering

This paper proposes Meta KG-NCF, a hybrid meta-learning framework that integrates Knowledge Graph embeddings (via TransE) with Neural Collaborative Filtering and a First-Order Multi-Supervisor Association Network to effectively address cold-start problems while achieving superior accuracy and computational efficiency compared to existing baseline methods across multiple large-scale datasets.

Erfan Ainul Yakin, Triyanna Widiyaningtyas, Hary Suswanto, Didik Dwi Prasetya, Wahyu Caesarendra2026-07-03

💻 computer science

Cry2Vec: Self-Supervised Pre-training for Infant Cry Recognition

The paper proposes Cry2Vec, a self-supervised model leveraging an optimized HuBERT architecture and a large-scale dataset of 3 million unlabeled infant cries to achieve state-of-the-art performance in cry recognition with demonstrated feasibility for edge deployment.

Manyi Liu, Meng Sun, jingjing Pan, Huimin Pan, Heng Wu, Shaoyang Men, Yaqin Xu, tongxu zhang2026-07-03

💻 computer science

A Lightweight YOLOv11n-OBB-Based Method for Oriented Detection of Luosifen Outer Packages

This paper proposes a lightweight YOLOv11n-OBB-based detection method featuring a Surgical Precision replacement strategy with GhostConv_OBB and C3k2_GhostConv_OBB modules, which achieves high-precision, real-time oriented detection of Luosifen outer packages on edge devices while significantly outperforming the baseline in accuracy and efficiency.

Guojian Liang, Shuwen Zhou, Yinhai Li2026-07-03

💻 computer science

Bridging the Gap: Explainability Metrics for AI Image-Based Clinical Diagnostics

This study introduces the Explainability Agreement Index (EAI), a novel metric that quantifies the alignment between AI-generated explanations and clinician reasoning in chronic wound diagnosis, revealing that despite high classification accuracy, current AI models often lack the interpretability required for clinical trustworthiness.

Albert Sire Langa, Ramon Reig-Bolaño, Clara Masó-Albareda, Ariadna Farrés-Serrat, Sergi Grau Carrion2026-07-03

💻 computer science

PMDA-Net: Progressive Feature Enhancement with Dynamic Attention for Crowd Counting

The paper proposes PMDA-Net, a progressive multi-level dynamic attention network that enhances crowd counting accuracy and robustness against scale variation, occlusion, and background noise through a novel architecture featuring feature calibration, cross-scale interaction, density-aware attention, and foreground-guided optimization.

Lin Zhou, Zhifan Jin, Zhong Zhang, He Wang, Sijia Chen, Liman Liu, Wenbing Tao2026-07-03

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