IEEE

Deep Learning-Based Classification of Coconut Leaf Diseases Using Optimized CNN Models

Abstract: Leaf diseases of coconut severely affect the yield and quality of the crops. Early detection is imperative for any control measures to be effective. Here, an approach on the deep ...
IEEE

KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity

Abstract: Limited labeled data could compromise the robustness of segmentation models trained on medical images. In medical imaging, manual segmentation is time-consuming and financially costly since ...
IEEE

Automated 3D Segmentation of Glomeruli in Human Kidney Tissue Specimens Using 16.4 T MRI Without Contrast Agents

Abstract: Accurate and fast assessment of glomerular number in ex vivo human kidney specimens is challenging. Glomerular number is traditionally estimated using measurements on glomerular profiles, ...
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

Emotion Recognition from Speech Signals Using Hybrid CNN Model

Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...
IEEE

Accurate Fake News Detection in Text-Based Content Using K-Nearest Neighbor, LSTM, MLP and CNN Models

Abstract: With the proliferation of social media platforms, where users are free to express themselves and share content, the detection of fake news in text has become an important issue. The ...
IEEE

Computer Vision Based Drone Detection Using Mask R-CNN

Abstract: Security of private and military areas is very important, drones are becoming more available day by day even though they are used for different purposes. In no-fly zones like metros, ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
IEEE

BoundMatch: Boundary Detection Applied to Semi-Supervised Segmentation

Abstract: Semi-supervised semantic segmentation (SS-SS) aims to mitigate the heavy annotation burden of dense pixel labeling by leveraging abundant unlabeled images alongside a small labeled set.
IEEE

Elevating Perception: Blobs-Based Dehazing with Image Enhancement Using Mask-Guided Fully Convolutional Networks and Multi-Scale Label Smoothing

Abstract: This paper presents a framework for image dehazing and enhancement that combines blobs-based model generation, YOLO for object detection, and mask-guided convolutional networks (CNNs) with ...
The Verge

Google’s AI Mode image search is getting more conversational

Users in the US can now shop for products using natural language descriptions and reference images. Users in the US can now shop for products using natural language descriptions and reference images ...