A5055840835- Advanced Wireless Communication Techniques
- Antenna Design and Analysis
- Advanced MIMO Systems Optimization
- Neural Networks and Applications
- Microwave Engineering and Waveguides
- Antenna Design and Optimization
- Energy Harvesting in Wireless Networks
- Text and Document Classification Technologies
- Advanced Mathematical Theories and Applications
- RFID technology advancements
- PAPR reduction in OFDM
- Transportation Systems and Safety
- Wireless Communication Networks Research
- Matrix Theory and Algorithms
- Coding theory and cryptography
- Coal and Coke Industries Research
- Advanced Text Analysis Techniques
- Cooperative Communication and Network Coding
- Spam and Phishing Detection
- Error Correcting Code Techniques
Qaiwan International University
2021-2024
European University of Lefke
2016-2019
American Society of Safety Professionals
2019
The rapid growth of technology has massively increased the amount text data. data can be mined and utilized for numerous natural language processing (NLP) tasks, particularly classification. core part classification is collecting predicting a good model. This paper collects Kurdish News Dataset Headlines (KNDH) dataset consists 50000 news headlines which are equally distributed among five classes, with 10000 each class (Social, Sport, Health, Economic, Technology). percentage ratio getting...
Matrix factorization techniques, such as Singular Value Decomposition (SVD), Eigenvalue (EVD), and QR decomposition, have long been pivotal in computational mathematics, particularly for applications signal processing, machine learning, data analysis. With the growing size complexity of data, traditional methods matrix face challenges efficiency scalability. This paper investigates implementation Convolutional Neural Networks (CNNs) computing singular values both real complex matrices. By...
In this paper, we propose a generalized singular value decomposition (GSVD) for polynomial matrices, or GSVD (PGSVD). We then consider PGSVD-based beamforming two-user, frequency-selective, multiple-input multiple-output (MIMO) multicasting. The PGSVD can jointly factorize two frequency-selective MIMO channels, producing set of virtual channels (VCs), split into: private (PCs) and common (CCs). An important advantage the proposed beamformer, over application independently to each frequency...
This study contains theoretical analysis of a single element microstrip patch antenna model by using high frequency structural simulator (HFSS) simulation software to support X-Band applications. In our simulations, FR4 epoxy was used as dielectric material with relative permittivity 4.4. Also, in order enhance the gain and bandwidth proposed antenna, 4×1 array is applied. The results have shown that technique intensely improve performance Gain 10.88 dB, Return Loss -36.1 Bandwidth 5.03 GHz...
In this research a novel design of monopole microstrip antenna is introduced. The proposed has compact size 2.1 × 1.5 3.175 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> with simple structure consisting semi-triangular patch shape coplanar waveguide (CPW) feed line. provides wide bandwidth covering frequencies from 4. 5 GHz to 15 an input reflection coefficient (S11) smaller than -10 dB over the entire range. obtained percentage...
This study contains theoretical analysis of wideband Microtrip slotted patch antenna with coaxial probe feed by using high frequency structural simulator (HFSS) simulation software. In our simulations, FR4 epoxy was used as dielectric material relative permittivity 4.4. The has been designed for 2-6 GHz range. Hence, the is highly suitable RFID applications at operating frequencies 2.45 and 5.8 respectively. various critical design parameters such bandwidth, return loss, gain, directivity...
Over the past decade, wireless sensor networks (WSNs) have gained more research attention for their potential applications in, e.g., healthcare, defence and environmental monitoring. However, limited channel capacity battery life of sensors are main design challenges in WSNs. The use cooperative multiple-input multiple-output (MIMO) technology is one most promising techniques that can enhance reduce transmission energy In this paper, we propose an adaptive MIMO singular value decomposition...
The authors propose a semi-blind channel estimation (semi-BCE) and precoding/decoding technique for frequency selective (FS) multiple-input multiple-output (MIMO) channels. A FS MIMO can be represented using matrix whose elements are polynomials; hence their method is based on polynomial decomposition. Polynomial eigenvalue decomposition (PEVD) QR (PQRD) the generalisation of decomposition; they suitable decoupling precoding As coding communication channels requires reliable channel,...
Recently there has been a growing interest in the application of polynomial matrix decomposition methods to problem efficient decoding multiple-input multiple-output (MIMO) communication channels. Essentially, this type approach decouples frequency selective MIMO channel into number independent, selective, single-input single-output (SISO) sub-channels by way singular-value (PSVD) or QR (PQRD) with successive interference cancellation. In paper, we investigate new PQRD algorithm, namely...
The throughput capacity of transmission systems by G.fast technology with crosstalk compensation