Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...
InfoQ

DoorDash Builds DashCLIP to Align Images, Text, and Queries for Semantic Search Using 32M Labels

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

This scientist is racing to predict deadly volcanic mudslides

One of the most deadly and dangerous volcano hazards isn’t lava. Mudflows called lahars can come without clear warning.
IEEE

Machine Learning-Based Heart Disease Detection Using KNN and Random Forest Classifiers

Abstract: Cardiovascular diseases (CVDs) remain the major cause of death in all parts of the world; hence, there is a need to ensure timely and effective diagnosis is done. The current study suggests ...
IEEE

A Hybrid Machine Learning Approach for Teeth Image Classification using Principal Component Analysis and K-Nearest Neighbour Algorithm

Abstract: The wide variety of tooth diseases and their apparent similarities in terms of color, shape, and size make it difficult to classify and analyze dental images. Manual identification calls for ...