IEEE

An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification

Abstract: Bean rust and angular leaf spot pose significant challenges to bean cultivation, impacting yields. Prompt disease identification maximizes productivity, but traditional methods need ...

US Issues ‘Do Not Travel’ Advisory For Over 20 Countries: Check Complete List

The US State Department assigns Level 4 status based on factors such as armed conflict, terrorism, widespread crime, civil ...
IEEE

CNN and Transformer Fusion Network for Sea Ice Classification Using GaoFen-3 Polarimetric SAR Images

Abstract: This article investigates the safety risks associated with sea ice along the Arctic Route by using polar sea ice images obtained by Gaofen-3 (GF3) Synthetic Aperture Radar (SAR) satellites.

Philippines censor vows stern rule

On the day Hollywood awarded its Oscars, the new Philippines chief censor took office as sex-movie stars led thousands in protesting the banning of a film. Art critic, fiction writer and former ...
IEEE

A Robust CNN-LSTM Framework for Sensitive and Specific Brain Tumor Classifications

Abstract: Diagnosing brain tumor is a key medical challenge where identification of the tumor is crucial to determine an appropriate treatment methodology. In this paper, we present a new hybrid deep ...
IEEE

A Novel CNN Architecture for Alzheimer's Disease Classification Using MRI Images: Comparison with Traditional Machine Learning Models

Abstract: Automated medical image processing has significantly improved with recent advances in deep learning and imaging technologies, particularly in the area of neuroimaging-based Alzheimer's ...
IEEE

Harnessing the Power of CNN and SVM for Robust Cattle Disease Classification

Abstract: The study article offers a comprehensive investigation of bovine health status identification powered by a CNN-SVM hybrid technique to elevate diagnostic technical abilities in veterinary ...
The Muscatine Journal

How a 475-year-old book market in the center of Paris is surviving in a digital world

Flexible hours, being your own boss, fresh air and views of Notre Dame – it’s a job with a lot going for it. Paris’ bouquinistes have been ...
IEEE

The Inverted Grayscale Images for Lightweight CNN Rotten-Fruits Classifications

Abstract: Access to healthy food plays a crucial role in ensuring national food security. One of the main challenges in healthy food production is maintaining the quality of fruits, which are ...
IEEE

Integrating CNN With PolInSAR Multidimensional Backscattering for Enhanced Forest Height Retrieval

Abstract: The operational deployment of P-band synthetic aperture radar (SAR) constellations (e.g., ESA’s BIOMASS) has established low-frequency polarimetric interferometric SAR (PolInSAR) as a ...
IEEE

Enhanced IoT-Based Weather Forecasting and Field Monitoring System Utilizing Multiple CNN Classification Models

Abstract: The rapid development of the Internet of Things (IoT) has revolutionized various domains, including weather forecasting and field monitoring. This research paper presents a novel approach to ...
IEEE

Lightweight CNN for Everyday Human Sound Classification on Edge Devices

Abstract: This study presents a lightweight Convolutional Neural Network (CNN) that recognizes everyday sounds on IoT edge devices. Audio signals encompassing daily activities are captured via a ...