Domain adaptation may be a novel creative solution to predict infection risk in patients with chronic lymphocytic leukemia ...
Abstract: This article proposes a new current control for switched reluctance motor (SRM) drives. The proposed method is based on the principles of model-free predictive control. Therefore, it ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
A benchmark called OSWorld-Verified, designed to monitor AI's ability to navigate desktop environments, found that GPT-5.4 scored 75%, up from 47.3% with its GPT 5.2 model. That also beats the average ...
China, India, and Japan Are Fueling Sustained Demand Across the APAC Truck Tire Market Chinese manufacturers are ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Abstract: This article introduces a model predictive torque control (MPTC) scheme using a modified hybrid torque sharing function (TSF) and the adaptive adjustment regarding parameters for switched ...
ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...
Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...
The CMS Innovation Center has debuted a new model to encourage the use of technology to treat chronic diseases, which could be a boon for health tech companies that have struggled with reimbursement.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results