AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
Frontiers

Spatiotemporal evolution characteristics and influencing factors of eco-efficiency of cultivated land use in southern mountainous regions of China

Against the backdrop of multiple pressures on cultivated land protection and the advancement of ecological civilization construction, enhancing the ecological efficiency of cultivated land utilization ...
GitHub

Linear Regression Practice Using Python

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...
IEEE

Hybrid Random Forest and Logistic Regression Model for Predicting Student Academic Performance in Higher Education

Abstract: The precise forecasting of student academic performance presents a significant challenge in higher education, directly influencing curriculum development and initiatives for student ...
IEEE

Performance Analysis of Machine Learning Models for Predicting Return Loss in 5G Microstrip Patch Array Antenna Design

Abstract: This work explores the integration of machine learning models to predict the return loss of a microstrip antenna operating at 3.5 GHz in the sub-6 GHz 5G frequency band. 11 (eleven) design ...