[IEEE Access 2022] ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
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Updated
Aug 12, 2025 - Python
[IEEE Access 2022] ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
Hybrid nanofluid density prediction dataset for the IEEE Access research paper: "A Computational Intelligence Framework Integrating Data Augmentation and Meta-Heuristic Optimization Algorithms for Enhanced Hybrid Nanofluid Density Prediction Through Machine and Deep Learning Paradigms"
Reproducible Python pipeline for the IEEE Access paper "A Seven-Year Higher-Order Ambisonics Recording Corpus" - corpus-wide figures (geography, timeline, room acoustics, loudness, session inventory), LaTeX-macro generation for every numeric claim, and the peer-review bootstrap uncertainty analysis for the microphone-comparison results.
This repository contains code for a comprehensive hybrid machine learning and deep learning frameworks for accurately predicting hybrid nanofluid density using stacking ensembles, advanced data augmentation, and metaheuristic optimization techniques.
This repository contains the source code for DJI-Fuzz, a fuzzer specifically designed to analyze and identify security vulnerabilities in DJI drones. Researchers can utilize this tool to conduct fuzzing tests on target drones and discover potential security flaws.
Unofficial PyTorch implementation of Spatial Sensitive Grad-CAM (SSGrad-CAM) and Spatial Sensitive Grad-CAM++ (SSGrad-CAM++)
Reproducibility materials for: A Multi-Source RAG Framework for Intelligent Agent Orchestration in Enterprise CRM Systems (IEEE Access 2026)
Multi-agent resume screening framework using fine-tuned LLMs for education, skills, and experience evaluation (IEEE Access 2026).
Artifact repo for an IEEE Access paper: 20 LLM-generated enterprise workflows with BPMN, React forms, and Dockerized ASP.NET + React apps you can run as-is.
Computationally efficient neural architecture search for image denoising — RL controller + weight sharing on a DHDN search space with JS-divergence-guided dataset subsampling. Published in IEEE Access (2025).
On-premise open-source LLMs as reliable structural priors for coupled MIMO controller tuning (IEEE Access)
🔬 Research & Benchmark Artifacts for IEEE Paper: SENTINEL-STREAM: An O(1)-Memory Streaming Behavioural Anomaly Detection Framework With Two-Stage Inference and TreeSHAP Explainability
Official paper page: Progressive Compression of ResNet: 8.33× reduction, 90.5% accuracy retention — IEEE Access 2026
SOTA Music Genre Classification using Late Fusion CNN. Evaluated on 12 public datasets. Published in IEEE Access (2024).
A composite resilience framework for consumer IoT: quantifying exposure, detection, and recovery against adaptive adversaries.
Valence-arousal trajectory reconstruction and a classroom process quality index (CQI). Code accompanying IEEE Access manuscript Access-2026-24857 (under review).
Reproducibility package for "Quantum-Inspired Time Series Forecasting: A Systematic Review and Neuro-Symbolic Emulation Framework"
Analyze and visualize a seven-year Higher-Order Ambisonics recording corpus, generating figures and LaTeX macros for IEEE Access publication.
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