IEEE

Fake Image Detector using Machine Learning

Abstract: The detection of fake images has become increasingly critical due to the proliferation of deepfakes and sophisticated image manipulation techniques used for misinformation, fraud, and public ...
IEEE

Asymmetric Mamba–CNN Collaborative Architecture for Large-Size Remote Sensing Image Semantic Segmentation

Large-size remote sensing images contain rich geographical information. Efficient and accurate semantic segmentation of these images is of significant importance in various fields. However, the ...
IEEE

An Efficient Encoding Spectral Information in Hyperspectral Images for Transfer Learning of Mask R-CNN for Instance Segmentation of Tomato Sepals

Abstract: The most vulnerable parts of tomatoes are the tips of the sepals, which are the primary entry points for fungal spores. Their precise segmentation within hyperspectral images (HSIs) plays a ...
IEEE

On-the-Fly Improving Segment Anything for Medical Image Segmentation Using Auxiliary Online Learning

Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...
IEEE

A Robust Hybrid CNN+ViT Framework for Breast Cancer Classification Using Mammogram Images

Abstract: Breast cancer is the most frequent type of cancer largely experienced by women currently, although it could happen to men also. It appears when abnormal breast tissue cells grow rapidly and ...
IEEE

Drone Cyber Attack Detection Through Machine Learning

Abstract: The use of Unmanned Aerial Vehicles (UAVs) or drones has rapidly spread across all major industries creating great instable cybersecurity challenges. With increasingly more uses such as ...
IEEE

Emotion Prediction using Keystroke Dynamics: A Comparative Study of Machine Learning Models

The keystroke dynamics has increasingly attracted attention as an efficient method for inferring emotional states from users' typing activity. The feasibility and effectiveness of predicting user ...
EurekAlert!

AI-driven phenotyping pipeline unveils how wheat spike architecture shapes grain yield

A research team has developed a deep learning–based phenotyping pipeline called SpikePheno to decode the complex architecture of wheat spikes that directly determines grain yield.
IEEE

Advanced Teeth Instance Segmentation Using Contextual Spatial Attention and Deeper Mask Head

Abstract: Dental image analysis has advanced significantly with deep learning, yet achieving accurate teeth segmentation remains challenging, particularly with complex structures like adjacent or ...
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Stop Using Hair Mask- 5 Reasons why!

Discover the Hidden Dangers of Hair Masks: Are They Damaging Your Hair? 🌿🚫 In this must-watch video, we reveal the shocking side effects of hair masks and why they might be secretly harming your ...
IEEE

Domain-Aware Transfer Learning With SAM-Assisted Mask R-CNN for Urban Tree Crown Delineation From UAV Orthophotos

Abstract: Accurate tree crown delineation from very high-resolution UAV orthophotos in urban areas remains challenging due to landscape complexity and the scarcity of representative annotated data.
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...