News

IEEE

ŶUGO: Enhancing Power Consumption Predictions in Data Centers through Combined Multiple Linear Regression and Gradient Boosting Techniques on Hypervisor Load

Abstract: Accurate power consumption prediction in data centers is critical for optimizing energy efficiency, but is fundamentally challenged by workloads exhibiting both linear and non-linear ...
GitHub

A custom node for ComfyUI that provides a visual gallery for managing and applying multiple LoRA models.

Optimized Unique ID: Each gallery node now automatically generates and stores its own unique ID, which is synchronized with the workflow. This completely avoids conflicts between different workflows ...
GitHub

Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification

This work is supported by the National Natural Science Foundation of China (NSFC) under Grant No.62476049. Some parts of codes in this repo are adapted from the following amazing works. We thank the ...
Multiple Sclerosis News Today

New AI model challenges how multiple sclerosis is classified

A new model using artificial intelligence (AI) suggests that multiple sclerosis (MS) progression is better viewed along a single disease spectrum, rather than as distinct disease types — such as those ...
C&EN

Refining Air Pollution Exposure Estimates: A Comparison of Citywide and Neighborhood Land Use Regression Models in Toronto

Department of Civil & Mineral Engineering, University of Toronto, 35 St George Street, Toronto, Ontario M5S 1A4, Canada ...
IEEE

Adaptive Subtraction Based on Expanded Multichannel U-Net With Multipattern Multiple Model for Surface-Related Multiple Removal

Abstract: Adaptively subtracting multiple models from the initial data is an essential assignment for the successful elimination of seismic surface-related multiples. The conventional expanded ...