IEEE

AI vs Human Text Detector: Identifying AI-Generated Content Using NLP

Abstract: The evolving capabilities of AI models such as GPT -3 and GPT -4, and Deepseek have rendered it ever more difficult to distinguish between human-written text and AI-generated text. The issue ...
IEEE

A Hybrid Fault-Tolerant Workflow Scheduling With Performance Fluctuated Cloud Resources

Abstract: With the increasing complexity of cloud systems, resource performance fluctuation and failure have become two significant factors that affect task execution in the cloud, particularly for ...
Frontiers

Robust automated preclinical fMRI preprocessing via a multi-stage dilated convolutional Swin Transformer affine registration

Introduction: Accurate preprocessing of functional magnetic resonance imaging (fMRI) data is crucial for effective analysis in preclinical studies. Key steps such as denoising, skull-stripping, and ...
GitHub

Code supplement: Towards National-Scale Ecological Applications: Harmonised framework for LiDAR point cloud processing for vegetation metrics calculation

create virtual environment ``` micromamba create -n myenv -f ./micromamba_env.yaml ``` poetry install ``` micromamba activate myenv poetry install ``` It will create a executable scripts under the env ...
Frontiers

Neurological mechanisms of mental fatigue in cognitive flexibility in soccer players: an event-related potential study based on N2 components

1 College of Physical Education, Northeast Electric Power University, Jilin, China 2 Brain Science Institute, Jilin Medical University, Jilin, China Objectives: Mental fatigue frequently occurs in ...
GitHub

Machine Learning spam classifier achieving 98% accuracy using SVM, NLP, and TF-IDF vectorization

An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...