Assam Schoolgirl Huma Abia Kanta Presents AI-ML Research at Global Conference, Becomes One Of India’s Youngest Presenters

Guwahati: A 16-year-old Assam schoolgirl, Huma Abia Kanta, a Grade XII student of Royal Global School, Guwahati, has ...

The Dark Forest theory explained

Of all the posited answers, experts say the Dark Forest hypothesis seems less likely to be correct. It’s possible that ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Scientific Research Publishing

Estimating Average and Heterogeneous Effects of Special Education: A Causal Machine Learning Perspective ()

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
IEEE

Accounting Fraud Identification Model Based on Random Forest Algorithm and Light GBM Algorithm

Abstract: In order to improve the efficiency and accuracy of accounting fraud identification, this paper proposes an accounting fraud identification model based on random forest (RF) and light ...
Devdiscourse

Artificial intelligence identifies climate hotspots driving drought

The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
IEEE

Research on Equipment Failure Prediction and Type Identification Based on a Multi-Task Random Forest Model

Abstract: Addressing challenges in industrial equipment operation such as the high difficulty of failure identification, the complexity of failure types, and class imbalance, this paper proposes a ...
Frontiers

Development and validation of a successful aging prediction model for older adults in China based on health ecology theory

Background and aim: Accelerated aging poses significant physical, psychological, and social health challenge to Chinese. Successful aging (SA) serves as a proactive approach to population aging, ...
Frontiers

Diagnosis model for assessing chronic thromboembolic pulmonary hypertension in high-altitude pulmonary embolism patients: a machine learning approach

Background: Patients with pulmonary embolism (PE) at high altitude face an increased risk of developing chronic thromboembolic pulmonary hypertension (CTEPH). This study aims to establish a diagnosis ...