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

Comparative Analysis of CNN and KNN for Blood Group Detection Using Fingerprint Images

Abstract: Correct determination of blood group is necessary for emergency, legal proceedings, and discharge. Traditional methods depend on taking blood samples, which might not be suitable during ...
IEEE

Pipeline for Real-Time Drowsiness Detection Using Pre-Trained CNN Model

Abstract: Drowsy driving being one of the most significant risks to road safety, results in numerous fatal road mishaps across the globe. Casualties and mental trauma haunt the affected individuals ...
IEEE

A Multimodal Deep Learning Model for Cross-Project Issue Classification

Abstract: Software continuously evolves through changes, and issue reports encapsulate these change requests. In the GitHub system, a labeling mechanism has been introduced for systematic issue ...
IEEE

Enhancing Computer Vision Using Vision Transformers and Hybrid CNN-Transformer Architectures

Abstract: Originally designed for natural language processing, the transformer mostly depends on deep neural networks' self-attention techniques. Researchers are now looking into using it for tasks ...
Truthout

Trump and Key Project 2025 Architect Use Shutdown to Target Democrats

Truthout is a vital news source and a living history of political struggle. If you think our work is valuable, support us with a donation of any size. President Donald Trump is using the government ...
IEEE

Automated Bug Report Classification Using BERT: A Transformer-Based Approach for Efficient Bug Triage in Large-Scale Software Projects

Abstract: Efficient bug triage is a critical aspect of large-scale software development, yet it remains a labor-intensive and error-prone task. This paper presents a novel approach to automated bug ...
IEEE

Custom Dataset-Driven Unsupervised Low-Light Image Enhancement Using 2D CNN

Abstract: Low-light image augmentation, which seeks to improve image visibility and quality under low illumination, is an important job in computer vision. We investigate underexposure image ...
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 ...