Comprehensive survey of model compression and speed up for vision transformers
Vision Transformers (ViT) have marked a paradigm shift in computer vision, outperforming
state-of-the-art models across diverse tasks. However, their practical deployment is …
state-of-the-art models across diverse tasks. However, their practical deployment is …
Utilizing deep learning to optimize software development processes
This study explores the application of deep learning technologies in software development
processes, particularly in automating code reviews, error prediction, and test generation to …
processes, particularly in automating code reviews, error prediction, and test generation to …
Distributed federated learning-based deep learning model for privacy mri brain tumor detection
Distributed training can facilitate the processing of large medical image datasets, and
improve the accuracy and efficiency of disease diagnosis while protecting patient privacy …
improve the accuracy and efficiency of disease diagnosis while protecting patient privacy …
Application of machine learning-based k-means clustering for financial fraud detection
In today's increasingly digital financial landscape, the frequency and complexity of
fraudulent activities are on the rise, posing significant risks and losses for both financial …
fraudulent activities are on the rise, posing significant risks and losses for both financial …
Feature manipulation for ddpm based change detection
Z Li, Y Huang, M Zhu, J Zhang, JH Chang… - arxiv preprint arxiv …, 2024 - arxiv.org
Change Detection is a classic task of computer vision that receives a bi-temporal image pair
as input and separates the semantically changed and unchanged regions of it. The diffusion …
as input and separates the semantically changed and unchanged regions of it. The diffusion …
Navigating the landscape of distributed file systems: Architectures, implementations, and considerations
Distributed File Systems (DFS) have emerged as sophisticated solutions for efficient file
storage and management across interconnected computer nodes. The main objective of …
storage and management across interconnected computer nodes. The main objective of …
User Interaction Interface Design and Innovation Based on Artificial Intelligence Technology
At a time when artificial intelligence is widely used in all walks of life, the way users interact
with the digital world also needs to incorporate intelligent elements to reduce the cost of …
with the digital world also needs to incorporate intelligent elements to reduce the cost of …
Integration Methods and Advantages of Machine Learning with Cloud Data Warehouses
A data warehouse is a subject-oriented, integrated, relatively stable collection of data that
reflects historical changes and is used to support management decisions. Common tools for …
reflects historical changes and is used to support management decisions. Common tools for …
[PDF][PDF] A novel framework for text-image pair to video generation in music anime douga (mad) production
The rapid growth of digital media has driven advancements in multimedia generation,
notably in Music Anime Douga (MAD), which blends animation with music. Creating MADs …
notably in Music Anime Douga (MAD), which blends animation with music. Creating MADs …
Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis
Natural Language Processing (NLP) is an interdisciplinary field of computer science,
artificial intelligence, and linguistics that focuses on the ability of computers to understand …
artificial intelligence, and linguistics that focuses on the ability of computers to understand …