A5005794715- Optical Network Technologies
- graph theory and CDMA systems
- Optical Wireless Communication Technologies
- Advanced Photonic Communication Systems
- Textile materials and evaluations
- Wireless Signal Modulation Classification
- Millimeter-Wave Propagation and Modeling
- Industrial Vision Systems and Defect Detection
- Digital Transformation in Industry
- Full-Duplex Wireless Communications
- Speech and Audio Processing
- E-commerce and Technology Innovations
- Radio Wave Propagation Studies
- Innovations in Aquaponics and Hydroponics Systems
- Wireless Sensor Networks and IoT
- Deception detection and forensic psychology
- Digital and Cyber Forensics
- Indoor and Outdoor Localization Technologies
- Advanced Data Compression Techniques
- Big Data and Digital Economy
- Satellite Communication Systems
- Face and Expression Recognition
Arab Academy for Science, Technology, and Maritime Transport
2021-2024
Unplanned outage in industry due to machine failures can lead significant production losses and increased maintenance costs. Predictive methods use the data collected from IoT-enabled devices installed working machines detect incipient faults prevent major failures. In this study, a predictive system based on learning algorithms, specifically AdaBoost, is presented classify different types of stops real-time with application knitting machines. The include speeds steps, which were...
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Abstract A new hybrid polarization division multiplexing (PDM) spectral amplitude coding optical code multiple access (SAC-OCDMA) is proposed for free space (FSO) capacity enhancement. Two signals are utilized; one x-polarization and carries three different channels at 0° azimuthal angle while the other y-polarization 90° angle, same channels. Each channel assigned with a diagonal permutation shift (DPS) 10 Gbps. The suggested system simulated, its performance evaluated in terms of maximum...
Code classification is essential nowadays, as determining the transmission code at receiver side a challenge. A novel algorithm for fixed right shift (FRS) may be employed in embedded next-generation optical fiber communication (OFC) systems. The aims to provide various quality of services (QoS): audio, video, and data. Q-factor, bit error rate (BER), signal-to-noise ratio (SNR) are studied used predictors machine learning (ML) design an QoS classifier. hypothesis test prove ML input data...
Abstract Nowadays, transmitting and receiving data with high speed a level of security are the main demands. So, new model spectral amplitude coding optical code division multiple access (SAC-OCDMA) is suggested in this paper, based on free space (FSO) communication system using coherent sources. Three different codes: enhanced double weight (EDW), modified (MDW) multi-diagonal (MD) codes assigned to our proposed direct detection (DD) technique. Furthermore, simulated under weather...
Wireless communication channel scenario classification is crucial for new modern wireless technologies. Reducing the time consumed by data preprocessing phase such identification also essential, especially multiple-scenario transitions in 6G. Machine learning (ML) has been used tasks. In this paper, least absolute shrinkage and selection operator (LASSO) instead of ElasticNet order to reduce computational ML. Moreover, performance different ML models are evaluated based on a regularization...
Prediction of wireless channel scenarios is fundamental for modern communication systems with diverse propagation conditions. Moreover, the type data extracted from a impulse response (CIR) complex. In recent research, machine learning (ML) techniques have proven their success in classification problems and provide reasonable results. this paper, new enhanced feature selection method proposed to improve training model performance conventional model. This improvement achieved based on concept...
Abstract Recently, Industry 4.0 introduced a breakthrough in the textile industry to meet customer demands. This study aimed accurately estimate production rate of knitting machine through an online monitoring system using Internet Things (IoT) and learning (ML) concepts. Experimentally, double was attached with sensors for gathering data speed, yarn feeder speed stitch length while other variables remained constant. Two prediction models were since correlation results revealed...
Abstract This study examines Free Space Optical (FSO) communication’s performance in different fog conditions, focusing on Single-Input Single-Output (SISO) and Multiple-Input Multiple-Output (MIMO) setups. In low fog, SISO handles signal degradation well. MIMO improves link robustness moderate fog. High challenges traditional FSO, leading to ML integration optimize communication parameters. For weather channel classification, a preprocessing scheme reduces features from 12 2 given that the...
The classification of wireless communication channel scenarios is vital for modern technologies. Efficient data preprocessing identification, especially starting from 5G and beyond, where multiple scenario transitions occur, crucial. Machine Learning (ML) employed identification. Moreover, accurate ML required to enhance the decision-making process in each layer. proposed model this study utilizes an enhanced phase. proves that adding variance inflation factor (VIF) elimination layer has a...
Smart and sustainable cities require a network that can ensure many exchanges of information. In this sense, the deployment optical fiber seems essential in order to guarantee urban interconnection. work, new algorithm for right shift code be used communication (OFC) is proposed. The was designed support different quality services (audio, video, data) smart cities. This based on varying weight certain number users transmitting service them. spectral amplitude-coding division multiple-access...