A5067272973- Peripheral Nerve Disorders
- Data Management and Algorithms
- Orthopedic Surgery and Rehabilitation
- Advanced Database Systems and Queries
- Privacy-Preserving Technologies in Data
- Advanced Image and Video Retrieval Techniques
- Graph Theory and Algorithms
- Vehicular Ad Hoc Networks (VANETs)
- Internet Traffic Analysis and Secure E-voting
- Transportation and Mobility Innovations
- Image Processing and 3D Reconstruction
- Mobile Ad Hoc Networks
- Gait Recognition and Analysis
- Metaheuristic Optimization Algorithms Research
- Traffic Prediction and Management Techniques
- Muscle activation and electromyography studies
- Indoor and Outdoor Localization Technologies
- Video Surveillance and Tracking Methods
- Data Mining Algorithms and Applications
- Machine Learning and Data Classification
- Shoulder Injury and Treatment
- Face and Expression Recognition
- Network Security and Intrusion Detection
- Rough Sets and Fuzzy Logic
Kafrelsheikh University
2018-2023
Mansoura University
2011
Carpal tunnel syndrome (CTS) is a prevalent medical condition resulting from compression of the median nerve in hand, often caused by overuse or age-related factors. In this study, total 160 patients participated, including 80 individuals with CTS presenting varying levels severity across different age groups. Numerous studies have explored use machine learning (ML) and deep (DL) techniques for diagnosis. However, further research required to fully leverage potential artificial intelligence...
Carpal tunnel syndrome (CTS) is a clinical disease that occurs due to compression of the median nerve in carpal tunnel. The determination severity essential provide appropriate therapeutic interventions. Machine learning (ML)-based modeling can be used classify diseases, make decisions, and create new It also medical research implement predictive models. However, despite growth based on ML Deep Learning (DL), CTS still relatively scarce. While few studies have developed models predict...
Edge computing is a distributed paradigm that involves processing data at or near the edge of internet things (IoT) network, instead centralized server. This makes cyber-attacks increasingly sophisticated, and traditional security measures become no longer sufficient to protect against them. Concurrently, privacy concerns arise when sensitive involved in applications containing confidential information. In this paper, we propose privacy-preserved federated learning (FL) approach for...
Among spatial information applications, SpatialHadoop is one of the most important systems for researchers. Broad analyses prove that outperforms traditional Hadoop in managing distinctive operations. This paper presents a Two Dimensional Priority R-Tree (2DPR-Tree) as new partitioning technique SpatialHadoop. The 2DPR-Tree employs top-down approach effectively reduces number partitions accessed to answer query, which turn improves query performance. results were evaluated different...
Determining optimal placement and number of roadside units (RSUs) that provides location management service in terms load distribution, accurate localization, overhead reduction is an open issue. In this paper, Collaborative Vehicle Location Management (CVLM) proposed to localize destination vehicles using RSUs. Optimal best RSUs measured. Compared state-of-arts methods, the results show CVLM outperforms Grid Service (GLS), Intersection (ILS), Time-based Vehicle-to-Roadside (V2R) both packet...
This paper introduces how to apply rough set classification and attribute reduction method in the field of landfill site selection. Unlike analysis past which focused solely on spatial data map, this paper, decision table specific for criteria is created, thus meet needs selection decision. proposes a solution problem by employing analyzing relationship between conditional attributes/criteria using technique principles GIS Analysis.
Abstract SpatialHadoop could handle spatial data operations in a low partitioning execution time compared to the traditional Hadoop. However, developing an efficient and accurate algorithm is still research field opened many researchers. Confidently, this paper proposes Minimum Boundary Rectangle-aware Priority R-Tree (MBR-aware PR-Tree) as enhanced applicable at SpatialHadoop. Compared state-of-art algorithms, our proposed outperforms them terms of query time, file size, number partitions,...