eLife

High-content high-resolution microscopy and deep learning-assisted analysis reveals host and bacterial heterogeneity during Shigella infection

High-content high-resolution microscopy coupled with deep learning-based analysis reveals novel phenotypes at the single-cell level during Shigella infection.
IEEE

An Explainable Approach to Land-Use Classification Using CNN-LSTM and LIME

Abstract: The evolution of landscapes has opened the opportunity to utilize previously unused land for various purposes, such as agriculture and urban development. This approach promotes sustainable ...
IEEE

Estimation of Tree Volume Using Mask R-CNN based Deep Learning

Abstract: Trees have an important stance in our life and are an important resource for many industries. being such an extensive resource estimating its amount is one of the main motives of the ...
IEEE

Fingerprint Image Segmentation Using Machine Learning Techniques

Abstract: Sophisticated Machine Learning Techniques were used to conduct an exhaustive study of fingerprint images cutoffs. An assessment and comparisons will be done with the available approaches and ...
IEEE

Land Ocean Mask Generation Using HAAR Transform on VH intensity band of SAR Sentinel -1 C-Band Polarimetry Image

Abstract: Our work proposes a novel approach to generate mask for land and ocean surface using multi Scale and multi resolution decomposition of SAR Image using wavelet Transform, later a threshold is ...
CBSSports.com

Chiefs vs. Giants props, picks, SportsLine Machine Learning Model AI predictions: Johnson over 22.5 receiving

The NFL schedule has reached Week 3 and the Sunday Night Football matchup will feature the New York Giants (0-2) hosting the Kansas City Chiefs (0-2). Veteran quarterbacks Russell Wilson and Patrick ...
IEEE

Sea Ice Detection With High Sampling Resolution Using Spaceborne GNSS-R Complex Waveform Data

Abstract: Sea ice plays a crucial role in global climate patterns, making the acquisition of sea ice change information significant. The rapid development of global navigation satellite system (GNSS) ...
IEEE

Analysis of Microscopic Data on the Behavior of Metallic Nickel Ore During Magnetic Enrichment Using SAM2 and Tensor Decomposition-Based Zero-Shot Image Segmentation

Abstract: The accurate separation and classification of minerals are crucial for integrating deep learning-based computer vision approaches into mineral enrichment processes. In this work, labeled ...
Medical Xpress

Machine learning can help mental health patients get better outcomes, research shows

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
IEEE

A Semisupervised Classification Method for Riverbed Benthic Sediments Using Integrated Superpixel Segmentation and Confident Learning Sample Enhancement

Abstract: Riverbed sediments are crucial in river ecosystems, significantly impacting water quality, environmental protection, and water resource management. With the increasing ease of obtaining high ...