Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services Background Introduction With the advent of the 6G mobile communication network, the traditional Internet of Things (IoT) architecture is gradually transforming into the new paradigm of the intelligent Internet of Everyth...
Research Breakthrough on Early Prediction of Pull Request Acceptance In recent years, open-source software (OSS) development has gradually become one of the mainstream software development models, heavily relying on collaboration among developers. The Pull Request (PR) mechanism, widely applied in distributed software development, improves collabor...
Analyzing the Complex Network of iOS App Store Recommendation Relationships Background Mobile applications (referred to as mobile apps) are a vital part of the modern Internet ecosystem. However, with the exponential growth in the number of mobile apps, it has become increasingly difficult for users to find desired apps in app stores and for develo...
Intersection of Data Privacy and Causal Learning: Breakthrough in Federated Local Causal Structure Learning With the rapid development of big data and artificial intelligence, analyzing and inferring causal relationships while ensuring data privacy in sensitive fields such as healthcare and finance has become a key challenge for academia and indust...
A Breakthrough in Mixed-Type Dialogue Generation: Few-Shot Learning Research One of the significant goals of Artificial Intelligence (AI) is to build agents capable of conducting multiple types of natural language dialogues. The industry and academia have long awaited the creation of dialogue models that can handle both open-domain dialogues and ta...
Research on an Asymmetric Dual-Task Co-Training Model for Improving Partial Label Learning in Deep Learning Research Background In the field of deep learning, supervised learning has become the core method for many artificial intelligence tasks. However, training deep neural networks often requires a massive amount of accurately labeled data, which...
The Application of Large Language Models in PET Imaging Reports: A Single-Center Pilot Study Combining Retrieval-Augmented Generation With the rapid development of artificial intelligence, large language models (LLMs) have gained widespread attention for their zero-shot learning and natural language processing capabilities in the medical domain. Al...
A New Approach to Skin Cancer Diagnosis: Research on Photoacoustic Imaging with Level Set Segmentation Algorithm In recent years, with global population aging and environmental changes, the incidence rate of skin cancer has been climbing annually. As a significant public health issue, skin cancer primarily manifests in non-melanoma types like squam...
Breakthrough Applications of Generative Artificial Intelligence in Nuclear Medicine: Exploring the Potential of Synthetic Bone Scintigraphy Images and Their Application in Deep Learning Background and Research Questions In recent years, the rapid development of Artificial Intelligence (AI) has revolutionized medical imaging analysis. For instance, ...
In-depth Analysis of PSMA PET/CT-based Multimodal Deep Learning Model for Predicting Lymph Node Metastases in Prostate Cancer Patients Background Prostate cancer (PCA) is one of the most common malignant tumors in men and a leading cause of cancer-related deaths. In clinically localized prostate cancer patients, extended pelvic lymph node dissectio...