A5011213868- Cognitive Radio Networks and Spectrum Sensing
- Advanced MIMO Systems Optimization
- ECG Monitoring and Analysis
- Smart Parking Systems Research
- Medical Imaging Techniques and Applications
- Brain Tumor Detection and Classification
- Medical Image Segmentation Techniques
- Smart Grid Security and Resilience
- Full-Duplex Wireless Communications
- Insurance, Mortality, Demography, Risk Management
- Wireless Networks and Protocols
- Wireless Signal Modulation Classification
- COVID-19 diagnosis using AI
- Non-Invasive Vital Sign Monitoring
- Advanced MRI Techniques and Applications
- Innovation in Digital Healthcare Systems
- Numerical Methods and Algorithms
- Power Line Communications and Noise
- Autonomous Vehicle Technology and Safety
- Wireless Communication Security Techniques
- Privacy-Preserving Technologies in Data
- Global Maternal and Child Health
- Wireless Communication Networks Research
- Millimeter-Wave Propagation and Modeling
- Radiomics and Machine Learning in Medical Imaging
University of Genoa
2024
Beijing University of Technology
2020-2023
Brain tumors have become a leading cause of death around the globe. The main reason for this epidemic is difficulty conducting timely diagnosis tumor. Fortunately, magnetic resonance images (MRI) are utilized to diagnose in most cases. performance Convolutional Neural Network (CNN) depends on many factors (i.e., weight initialization, optimization, batches and epochs, learning rate, activation function, loss network topology), data quality, specific combinations these model attributes. When...
Generative adversarial networks (GAN), which are fueled by deep learning, an efficient technique for image reconstruction using under-sampled MR data. In most cases, the performance of a particular model’s must be improved substantial proportion training However, gathering tens thousands raw patient data model in actual clinical applications is difficult because retaining k-space not customary process. Therefore, it imperative to increase generalizability network that was created small...
Through the expeditious expansion of wireless network, unlicensed bandwidth-based devices are growing substantially as compared to present vacant bandwidth. Cognitive radio networks a proficient solution spectrum shortage diminution hitch by allowing usage part that is not currently in use Primary User licensed bandwidth secondary user or cognitive user. Spectrum management procedure network comprises sharing, sensing and handoff. handoff plays vital role primarily focuses on single...
Machine learning and data mining are being used in different fields like analysis, prediction, image processing, etc., particularly healthcare. Over the past decade, several types of research have been carried out focusing on machine application to generate intuitions from historical make predictions about results. algorithms play a vital role improving healthcare systems due continuous applications. Several researchers develop for decision support, analyze clinical aspects, use extract...
Recently, researchers have been exploring various ways to improve the effectiveness and efficiency of autonomous vehicles by researching new methods, especially for indoor scenarios. Autonomous Vehicles in navigation systems possess many challenges limited accuracy GPS Several, robust methods explored scenarios solve this problem, but ineffectiveness proposed is high deployment cost.To address above-mentioned problems we presented A low-cost method called Affordable Indoor Navigation...
Cognitive Radio (CR) is an emerging technology which enables a secondary user (SU) to utilize the unoccupied spectrum holes owned by primary (PU) through sensing in order maximize utilization of finite resources. Although CRNs channel bandwidth resources without any impact upon well-established regulation allocation but on other hand energy consumption can be challenge as efficient performance and coexists. Spectrum very important part management it detects free bands shift over transmission...
Channel assignment has emerged as an essential study subject in Cognitive Radio-based Wireless Mesh Networks (CR-WMN).In era of alarming increase Multi-Radio Multi-Channel (MRMC) network expansion interference is decreased and throughput signi cantly increased when non-overlapping or partially overlapping channels are correctly integrated.Because its ad hoc behavior, dynamic channel outperforms static assignment.Interference reduces the CR-WMN.As a result, there extensive research gap for...
Recently, researchers have been exploring various ways to improve the effectiveness and efficiency of autonomous vehicles by researching new methods, especially for indoor scenarios. Autonomous Vehicles in navigation systems possess many challenges limited accuracy GPS Several, robust methods explored scenarios solve this problem, but ineffectiveness proposed is high deployment cost. To address above-mentioned problems we presented A low-cost method called Affordable Indoor Navigation...
An amendment to this paper has been published and can be accessed via the original article.
A smart grid is the evolved form of power with integration sensing, communication, computing, monitoring, and control technologies. These technologies make reliable, efficient, economica... | Find, read cite all research you need on Tech Science Press
mHealth apps are one of the most beneficial conveniences provided by smartphones for human beings. Free extremely popular in facilitating healthcare low-income populations. A vast variety personal and identifiable data is handled contemporary apps; hence their adherence to modern privacy standards demands vital. General Data Protection Regulation (GDPR) a comprehensive, current standard. This research analyzes 50 free Medical Health Fitness Android GDPR. Although set had 1 million or more...