Adaptive ensembles of fine-tuned transformers for llm-generated text detection
Large language models (LLMs) have reached human-like proficiency in generating diverse
textual content, underscoring the necessity for effective fake text detection to avoid potential …
textual content, underscoring the necessity for effective fake text detection to avoid potential …
Development and application of a monte carlo tree search algorithm for simulating da vinci code game strategies
In this study, we explore the efficiency of the Monte Carlo Tree Search (MCTS), a prominent
decision-making algorithm renowned for its effectiveness in complex decision environments …
decision-making algorithm renowned for its effectiveness in complex decision environments …
Research on intelligent aided diagnosis system of medical image based on computer deep learning
This paper combines Struts and Hibernate two architectures together, using DAO (Data
Access Object) to store and access data. Then a set of dual-mode humidity medical image …
Access Object) to store and access data. Then a set of dual-mode humidity medical image …
Research on the application of deep learning in medical image segmentation and 3d reconstruction
Y Zi, Q Wang, Z Gao, X Cheng, T Mei - Academic Journal of Science …, 2024 - drpress.org
Medical image segmentation (MIS) and 3D reconstruction are crucial research directions in
the field of medical imaging, which is of great significance for disease diagnosis, treatment …
the field of medical imaging, which is of great significance for disease diagnosis, treatment …
Leveraging deep learning and xception architecture for high-accuracy mri classification in alzheimer diagnosis
Exploring the application of deep learning technologies in the field of medical diagnostics,
Magnetic Resonance Imaging (MRI) provides a unique perspective for observing and …
Magnetic Resonance Imaging (MRI) provides a unique perspective for observing and …
Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technology
The prediction of disease risk factors can screen vulnerable groups for effective prevention
and treatment, so as to reduce their morbidity and mortality. Machine learning has a great …
and treatment, so as to reduce their morbidity and mortality. Machine learning has a great …
Deep representation learning for multi-functional degradation modeling of community-dwelling aging population
As the aging population grows, particularly for the baby boomer generation, the United
States is witnessing a significant increase in the elderly population experiencing …
States is witnessing a significant increase in the elderly population experiencing …
TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction
Autoregressive next-token prediction is a standard pretraining method for large-scale
language models, but its application to vision tasks is hindered by the non-sequential nature …
language models, but its application to vision tasks is hindered by the non-sequential nature …
Optimization and performance evaluation of deep learning algorithm in medical image processing
In this paper, the optimization and performance evaluation of deep learning algorithm in
medical image processing are studied. Firstly, the paper introduces the importance and …
medical image processing are studied. Firstly, the paper introduces the importance and …
Research and Application of Deep Learning in Medical Image Reconstruction and Enhancement
In recent years, deep learning technology has made remarkable progress in medical image
reconstruction and enhancement, and has become one of the research hotspots in the field …
reconstruction and enhancement, and has become one of the research hotspots in the field …