A5032871298- Solar and Space Plasma Dynamics
- Solar Radiation and Photovoltaics
- Technology Adoption and User Behaviour
- Biometric Identification and Security
- Image Retrieval and Classification Techniques
- Face recognition and analysis
- Ionosphere and magnetosphere dynamics
- Medical Image Segmentation Techniques
- Geomagnetism and Paleomagnetism Studies
- Astro and Planetary Science
- Customer Service Quality and Loyalty
- Digital Marketing and Social Media
- Stellar, planetary, and galactic studies
- Geophysics and Gravity Measurements
- AI in cancer detection
- Face and Expression Recognition
- Privacy, Security, and Data Protection
- User Authentication and Security Systems
- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
- Photovoltaic System Optimization Techniques
- Currency Recognition and Detection
- Handwritten Text Recognition Techniques
- E-Government and Public Services
- Retinal Imaging and Analysis
University of Bradford
2016-2025
Multimodal biometric systems have been widely applied in many real-world applications due to its ability deal with a number of significant limitations unimodal systems, including sensitivity noise, population coverage, intra-class variability, non-universality, and vulnerability spoofing. In this paper, an efficient real-time multimodal system is proposed based on building deep learning representations for images both the right left irises person, fusing results obtained using ranking-level...
Detecting multiple ocular diseases in fundus images is crucial ophthalmic diagnosis. This study introduces the Fundus-DeepNet system, an automated multi-label deep learning classification system designed to identify by integrating feature representations from pairs of (e.g., left and right eyes). The initiates with a comprehensive image pre-processing procedure, including circular border cropping, resizing, contrast enhancement, noise removal, data augmentation. Subsequently, discriminative...
The importance of real‐time processing solar data especially for space weather applications is increasing continuously. In this paper, we present an automated hybrid computer platform the short‐term prediction significant flares using SOHO/Michelson Doppler Imager images. This called Automated Solar Activity Prediction tool (ASAP). system integrates image and machine learning to deliver these predictions. A learning‐based designed analyze years sunspot flare create associations that can be...
Solar flares produce radiation which can have an almost immediate effect on the near-Earth environment, making it crucial to forecast in order mitigate their negative effects. The number of published approaches flare forecasting using photospheric magnetic field observations has proliferated, with varying claims about how well each works. Because different analysis techniques and data sets used, is essentially impossible compare results from literature. This problem exacerbated by low event...
Abstract The development of many tools and technologies for people with visual impairment has become a major priority in the field assistive technology research. However, these advancements have limitations terms human aspects user experience (e.g., usability, learnability, time to adaptation) as well difficulties translating research prototypes into production. Also, there was no clear distinction between aids adults children, “partial impairment” “total blindness”. As result limitations,...
Solar flares are extremely energetic phenomena in our System. Their impulsive, often drastic radiative increases, particular at short wavelengths, bring immediate impacts that motivate solar physics and space weather research to understand the point of being able forecast them. As data algorithms improve dramatically, questions must be asked concerning how well forecasting performs; crucially, we ask rigorously measure performance order critically gauge any improvements. Building upon...
This paper, presents a new component labeling algorithm which is based on scanning and the objects in single scan. The has ability to test four eight connected branches of object. algorithm, fast requires low memory allocation, can also process an image that contains large numbers objects. used scan from left right top bottom find unlabeled A comparison analysis performed with other algorithms. Our shown outstanding performance respect processing time. practical application computer...
This paper aims at providing an overview of latest advances in space weather modeling operational environment Europe, including both the introduction new models and improvements to existing codes algorithms that address broad range weather's prediction requirements from Sun Earth. For each case, we consider model's input data, output parameters, products or services, its status, whether it is supported by validation results, order build a solid basis for future developments. work Sub Group...
Business-to-consumer (B2C) e-commerce suffers from consumers’ lack of trust. This may be partly attributable to the face-to-face interpersonal exchanges that provide trust behavior in conventional commerce. It was proposed initial built by simulating interaction. To test this, an extensive laboratory-based experiment conducted assess consumers using four online vendors’ Web sites with a variety still and video images sales personnel, both Western Saudi Arabian. Initial found enhanced for...
A web-based prototype system for predicting solar energetic particle (SEP) events and flares use by space launch operators is presented. The has been developed as a result of the European Space Agency (ESA) project SEPsFLAREs (Solar Events Prediction For LAunch Risk Estimation). consists several modules covering prediction early SEP Warnings (labeled Warning tool), event occurrence onset, peak duration. In addition, acquires data flare nowcasting from Global Navigation Satellite Systems...
Dust storms are one of the natural phenomena, which have increased in frequency recent years North Africa, Australia and northern China. Satellite remote sensing is common method for monitoring dust but its use identifying over sandy ground still limited as two share similar characteristics. In this study, an artificial neural network (ANN) used to detect storm using 46 sets data acquired between 2001 2010 Africa by Moderate Resolution Imaging Spectroradiometer (MODIS) instruments aboard...
Abstract A workshop was recently held at Nagoya University (2017 October 31–November 2), sponsored by the Center for International Collaborative Research, Institute Space-Earth Environmental University, Japan, to quantitatively compare performance of today’s operational solar flare forecasting facilities. Building upon Paper I this series, in II we described participating methods latest comparison effort, evaluation methodology, and presented quantitative comparisons. In paper, focus on...
High quality mammogram images are high resolution and large size images. Processing these require computational capabilities. The transmission of over the net is sometimes critical especially if diagnosis remote radiologists required. In this paper, a pre-processing technique for reducing enhancing USF MIAS introduced. algorithm analyses image to determine 16-bit 8-bit conversion process Enhancement applied later followed by scaling reduce size. performances algorithms evaluated objectively...