AI Medical Compendium

Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting.

Scientific reports Jul 29, 2025

Traffic forecasting is considered a cornerstone of smart city development. A key challenge is capturing the long-term spatiotemporal dependencies of traffic data while improving the model's generalization ability. To address these issues, various sop... read more

Feature Selection in Healthcare Datasets: Towards a Generalizable Solution.

Computers in biology and medicine Jul 29, 2025

BACKGROUND AND OBJECTIVE: The increasing dimensionality of healthcare datasets presents major challenges for clinical data analysis and interpretation. This study introduces a scalable ensemble feature selection (FS) strategy optimized for multi-biom... read more

Advanced Design for High-Performance and AI Chips.

Nano-micro letters Jul 29, 2025

Recent years have witnessed transformative changes brought about by artificial intelligence (AI) techniques with billions of parameters for the realization of high accuracy, proposing high demand for the advanced and AI chip to solve these AI tasks e... read more

UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding

arXiv Jul 29, 2025

The emergence of Multimodal Large Language Models (MLLMs) has driven significant advances in Graphical User Interface (GUI) agent capabilities. Nevertheless, existing GUI agent training and inference techniques still suffer from a dilemma for reaso... read more

Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification

arXiv Jul 29, 2025

Training neural networks can be challenging, especially as the complexity of the problem increases. Despite using wider or deeper networks, training them can be a tedious process, especially if a wrong choice of the hyperparameter is made. The lear... read more

Computational Engineering, Finance, and Science Machine Learning 34A06 G.1.6; I.6.4; J.2

REVIEW ARTICLE: A Performance Benchmarking Review of Transformers for Speaker-Independent Speech Emotion Recognition.

International journal of neural systems Jul 29, 2025

Speech Emotion Recognition (SER) is becoming a key element of speech-based human-computer interfaces, endowing them with some form of empathy towards the emotional status of the human. Transformers have become a central Deep Learning (DL) architectur... read more

Radiomics meets transformers: A novel approach to tumor segmentation and classification in mammography for breast cancer.

Journal of X-ray science and technology Jul 29, 2025

ObjectiveThis study aimed to develop a robust framework for breast cancer diagnosis by integrating advanced segmentation and classification approaches. Transformer-based and U-Net segmentation models were combined with radiomic feature extraction and... read more

Brain Oscillations in Bipolar Disorder: Insights from Quantitative EEG Studies.

Clinical EEG and neuroscience Jul 29, 2025

IntroductionQuantitative electroencephalography (QEEG) is a neurophysiological tool that analyzes brain oscillations across frequency bands, providing insights into psychiatric conditions like bipolar disorder (BD). This disorder, marked by mood fluc... read more

Sensitive Detection and Identification Method of Erythrocyte-like Cells upon Doxorubicin Induced Differentiation with Vibrational Techniques.

Analytical chemistry Jul 29, 2025

Altered differentiation of blood cell precursors and their clonal expansion occurs in various types of leukemia. One treatment strategy is to induce differentiation into the mature form, which is capable of undergoing apoptosis. It has been found tha... read more

Deep learning-based automated diagnosis of obstructive sleep apnea and sleep stage classification in children using millimeter-wave radar and pulse oximeter.

Sleep health Jul 29, 2025

STUDY OBJECTIVES: Due to the high cost, complexity, and workload of polysomnography, a radar-based sleep monitoring device, QSA600, has been developed as a more simplified alternative for children. This study evaluates its agreement with polysomnogra... read more

Artificial Intelligence Medical Compendium