Closing the loop on glioblastoma: A roadmap toward developing bioelectronics for continuous monitoring of tumor state
Closed-loop bioelectronic devices offer a promising platform for responsive treatment to heterogeneous disease states. Glioblastoma, an aggressive form of brain...
Teaching Ourselves to See: A Direct Method for Denoising CRISM Hyperspectral Data
The use of hyperspectral data from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) has uncovered a wide range of...
Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification
Deep Neural Networks (DNNs) have significantly advanced the field of computer vision. To improve DNN training process, knowledge distillation methods...
An Improved Machine Learning-Based Method for Unsupervised Characterisation for Coral Reef Monitoring in Earth Observation Time-Series Data
This study presents an innovative approach to automated coral reef monitoring using satellite imagery, addressing challenges in image quality assessment...
Fingerprinting subduction margins using principal component analysis profiles: A data science approach to assessing earthquake hazard
Giant earthquakes (Mw ≥8.5) along subduction margins pose great hazards to coastal societies. While it is generally accepted that geological margin...
Using generative adversarial networks to translate microresistivity image logs of carbonates into synthetic core images with accurate Dunham textures
Core images provide a high-resolution data set of the textures and fabrics of sedimentary rocks, but their availability is often...
SRT-Ai: Identifying seismic reflection terminations using deep learning
Seismic stratigraphy entails a regional scanning (reconnaissance) of seismic data to identify and annotate seismic reflection terminations. To identify these...
CAGEY (CArbonate Grain Estimation with YOLO): Object detection for grain size, roundness, and dunham classification
This study presents an innovative approach to automated coral reef monitoring using satellite imagery, addressing challenges in image quality assessment...
Mineralogical Classification of CRISM Hyperspectral Data Under Uncertainty With Hybrid Neural Networks
Orbital remote sensing observations are a lynchpin of planetary science research. Hyperspectralinfrared spectroscopy in particular is key for planetary mineralogical...
Expedition 308 synthesis: overpressure, consolidation, and slope stability on the continental slope of the Gulf of Mexico
Integrated Ocean Drilling Program Expedition 308 quantified the coupling between sedimentation, consolidation, overpressure, fluid flow, and slope instability in continental...