marvande/MassBalanceMachine: Release v0.1.1 - Transfer Learning paper

Neuro-Oncology Benchmark: The Resource-Interpretability Tradeoff in Radiomics and Multiclass Brain Tumor Classification Based on Deep Transfer Learning vs Handcrafted Radiomics.

Othmane Bakkas, Drissia Ennagoura, Nasreen Badruddin, Abdelali Zbakh, Mohamed El Mahjouby, Badre Bossoufi, et al.

The automatic multiclass brain tumor classification using MRI images plays an important role in a non-invasive clinical setting. However, the choice of a model demands the trade-off between accuracy, complexity, and interpretability of the classifier. In this study, we have estab…Read more

Deep Learning Enables Transferable Rheological Parameters for Landslide Runout Prediction

Yunxu Xie

This dataset contains numerical simulation results and deep-learning–based predictions used to investigate transferable rheological parameters for landslide runout modeling. The data were generated using a physics-based shallow water equation (SWE) framework coupled with a deep n…Read more

Also available via: European Organization for Nuclear Research

Event-Based Prediction of Liquidity Sweep Dynamics in XAUUSD Using Machine Learning

Vanshvardhan Sharma

This paper develops a machine learning framework for detecting and predicting liquidity sweep events in XAUUSD using event-based market microstructure analysis. Using 15-minute data from 2014–2024, the study formalizes liquidity sweeps as a binary classification problem evaluated…Read more

benkoger/pedro-pond-counts: Paper doi version

benkoger

Release created to accompany paper "Efficient and accurate spatio-temporal population monitoring of mobile animals using drones and computer vision."

Multi-Model Comparative Study for Bark-Texture Based Tree Species Classification Using Custom Indian Tree Species Dataset

Shaila Doddamani, Apeksha Kule

Accurate wood species identification is crucial for biodiversity preservation and forest management. Because traditional identification methods are time-consuming and heavily rely on expert knowledge, automated image-based solutions have become more and more important. This resea…Read more

Also available via: European Organization for Nuclear Research

Intelligent Classification of Respiratory Diseases Using Machine Learning-Based Lung Sound Analysis

Tara V K, Varsha S

Respiratory diseases such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, bronchiectasis, bronchiolitis and upper respiratory tract infection (URTI) remain among the leading causes of illness and death worldwide. Conventional diagnosis relies heavily on auscul…Read more