IEEE

Automated Live Cell Evaluation via a CNN-Transformer Combined Microscopy Image Enhancement Network

Abstract: Automated morphological measurement of cellular and subcellular structures in live cells is important for evaluating cell functions. Due to their small size and transparent appearance, ...
InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
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

Multilevel Multimodal CNN–Transformer Fusion Network for Land Use and Land Cover Classification

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
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 ...
PC World

Windows 11’s Photos app tests ‘auto-categorization’ of images using AI

If you take tons of photos and store them on your PC, keeping track of all those photos may soon get easier in Windows 11. According to a recent Windows Insiders blog post, Insiders across all ...
CNN

Trump White House hangs image of Biden autopen signature in new ‘Presidential Walk of Fame’

President Donald Trump has introduced a “Presidential Walk of Fame” along a noticeable walkway outside the West Wing of the White House. “The Presidential Walk of Fame has arrived on the West Wing ...
IEEE

Dual-Frequency Selected Knowledge Distillation With Statistical-Based Sample Rectification for PolSAR Image Classification

Abstract: The collaborative classification of dual-frequency polarimetric synthetic aperture radar (PolSAR) images is a meaningful but also challenging research. The effect of regional consistency on ...
IEEE

NES-DM: Representative Attention-based CNN Network for Medical Image Classification

Abstract: Various lesions in different body parts have different sizes and, in particular, different representations, which leads to great challenges for medical image classification tasks. To avoid ...