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 ...
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

Segmentation of Ultrasound Images Using Customized Finetuning Strategies Based on Foundation Model

Abstract: Deep learning as a typical data-driven technique has shown great potential in computer-aided ultrasound image segmentation, but how to train deep models with limited data samples is still a ...
IEEE

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
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 ...
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 ...
IEEE

IoT-Enabled Real Time Air Quality Monitoring Using Hybrid CNN-RNN with Attention Mechanism

Abstract: Monitoring the environment, particularly air quality, is vital for protecting public health, ensuring safety, and effectively reducing pollution levels. However, using physical models often ...
IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
GitHub

Mask R-CNN Instance Segmentation with OpenCV

This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.
IEEE

Multi-Class Land Detection Analysis: An Approach for Farm, Forest and Rocky Land Classification Using Instance Segmentation from Satellite Images

Abstract: Land management plays a vital role in the world's environment, economy and agriculture. In this era of dynamic technology, we aim to optimize land use for various purposes. Detecting land ...
IEEE

iLog 3.0: Estimating Food Volume from 2D Images Using Mask R-CNN and Monocular Depth Estimation

Abstract: To maintain a healthy and balanced lifestyle, it is essential to consume food in proportion to one’s individual needs. The proportions of the food consumed need to be calculated to determine ...
GitHub

Pull requests: srirammulukuntla11/Instance-Segmentation-using-Mask-R-CNN-with-Python-and-OpenCV

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.