2025 MCAS results show learning loss continues

Looking at grades three through eight, only 13 school districts had scores above or at pre-pandemic levels in both English ...
Solar Power World

The importance of soiling losses in EPC and O&M of solar PV projects

Solar PV energy is one of the fastest-growing renewable technologies, with projects now deployed across nearly every climate ...
bjo.bmj

Machine-learning algorithms for the identification of visual field loss associated with the antiseizure medication vigabatrin—a proof of concept

Background/aims The antiseizure medication, vigabatrin, is associated with visual field loss (VAVFL). However, the fields can be challenging to interpret due to unfamiliarity with the characteristics ...
IEEE

Unveiling the Role of Weighted Loss Functions in Deep Learning-Based Nowcasting of Extreme Rainfall Events

Abstract: Nowcasting plays a crucial role in responding to disasters such as flash floods by predicting rainfall in real time. However, existing nowcasting models struggle to accurately predict ...
Frontiers

Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems

Path loss prediction is crucial to facilitate reliable vehicle-to-infrastructure (V2I) communications. In this study, machine learning techniques are investigated for path loss modeling using ...
Frontiers

A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning

Objective: Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ...
Security

Sensormatic Solutions adds Machine Learning to Shrink Analyzer

Sensormatic Solutions, the global retail solutions portfolio of Johnson Controls (JCI), continues to improve the capabilities of its cloud-based loss prevention (LP) application, Shrink Analyzer. The ...
Morningstar

Sensormatic Solutions Adds Machine Learning to Shrink Analyzer to Accelerate Loss Prevention Results

New capabilities help retailers identify internal loss events with precision to better understand, document and address crime, fraud and loss Sensormatic Solutions to showcase machine-learning-enabled ...
News Medical

Machine learning identifies key lifestyle factors for healthy brain function

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan. The study ...
The Lancet

Evaluation of early donor renal function recovery after living-donor nephrectomy as a predictor of allograft failure after kidney transplantation: a longitudinal cohort and ...

cInstitute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, China dCore Facilities of West China Hospital, Sichuan University, China ...
Scientific Research Publishing

Zhu, W., Song, Y. and Xiao, Y. (2020) Support Vector Machine Classifier with HUberized Pinball Loss. Engineering Applications of Artificial Intelligence, 91, Article ID: 103635.

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...