Search Results - "Alduais, Nayef Abdulwahab Mohammed"

A Bootstrapping Soft Shrinkage Approach and Interval Random Variables Selection Hybrid Model for Variable Selection in Near-Infrared Spectroscopy by Gamal Al-Kaf, Hasan Ali, Mohammed Alduais, Nayef Abdulwahab, Saad, Abdul-Malik H. Y., Chia, Kim Seng, Mohsen, Abdulqader M., Alhussian, Hitham, Haidar Mahdi, Ammar Abdo Mohammed, Wan Salam, Wan Saiful-Islam

“…High dimensionality problem in spectra datasets is a significant challenge to researchers and requires the design of effective methods that can extract the…”
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RDCM: An Efficient Real-Time Data Collection Model for IoT/WSN Edge With Multivariate Sensors by Alduais, Nayef Abdulwahab Mohammed, Abdullah, Jiwa, Jamil, Ansar

“…In the application of the Internet of Things (IoT), a sensor board depends on a battery that has a limited lifetime to function. Furthermore, the IoT sensor…”
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Trust Evaluation Model in IoT Environment: A Comprehensive Survey by Alhandi, Somya Abdulkarim, Kamaludin, Hazalila, Alduais, Nayef Abdulwahab Mohammed

“…The Internet of Things (IoT) is a rapidly evolving field that provides seamless connections to a physical object, making it part of a smart environment. To…”
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RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review by Yejiao, Wang, Kamaludin, Hazalila, Mohammed Alduais, Nayef Abdulwahab, Zuraidin Mohd Safar, Noor, Zhongchao, Hao

“…With the development of intelligent manufacturing in China, Radio Frequency Identification (RFID), a key technology for smart factories, has received…”
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C-shaped antenna based artificial magnetic conductor structure for wearable IoT healthcare devices by Ashyap, Adel Y. I., Dahlan, S. H., Abidin, Z. Z., Kamarudin, M. R., Majid, H. A., Alduais, Nayef Abdulwahab Mohammed, Dahri, M. Hashim, Alhandi, Somya Abdulkarim

“…A wearable C-shaped antenna based on a fabric material operating at 2.4 GHz frequency is proposed for use in flexible/wearable IoT medical systems. The…”
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An enhanced energy efficient protocol for large-scale IoT-based heterogeneous WSNs by Abdul-Qawy, Antar Shaddad Hamed, Alduais, Nayef Abdulwahab Mohammed, Saad, Abdul-Malik H.Y., Taher, Murad Ahmed Ali, Nasser, Abdullah B., Saleh, Sami Abdulla Mohsen, Khatri, Narendra

“…There is increasing attention, recently, to optimizing energy consumption in IoT-based large-scale networks. Extending the lifetime of battery-powered nodes is…”
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TEMSEP: Threshold-Oriented and Energy-Harvesting Enabled Multilevel SEP Protocol for Improving Energy-Efficiency of Heterogeneous WSNs by Abdul-Qawy, Antar Shaddad Hamed, Nasser, Abdullah B., Guroob, Abdo H., Saad, Abdul-Malik H. Y., Alduais, Nayef Abdulwahab Mohammed, Khatri, Narendra

“…Energy-saving in WSN-based monitoring systems has drawn considerable interest lately. Further investigations and real efforts are needed to reduce the rapid…”
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Impact of Spatial Dynamic Search With Matching Threshold Strategy on Fractal Image Compression Algorithm Performance: Study by Saad, Abdul-Malik H. Y., Abdullah, Mohd Zaid, Alduais, Nayef Abdulwahab Mohammed, Sa'ad, Hisham Haider Yusef

“…Fractal image compression (FIC) is a very popular technique in image compression applications due to its simplicity and superior performance. However, it has a…”
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An Adaptive Opposition-Based Learning Selection: The Case for Jaya Algorithm by Nasser, Abdullah B., Zamli, Kamal Z., Hujainah, Fadhl, Ghanem, Waheed Ali H. M., Saad, Abdul-Malik H. Y., Alduais, Nayef Abdulwahab Mohammed

“…Over the years, opposition-based Learning (OBL) technique has been proven to effectively enhance the convergence of meta-heuristic algorithms. The fact that…”
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An Efficient Approach for Uncertain Event Detection in RFID Complex Event Processing by Yaacob, Siti Salwani Binti, Mahdin, Hairulnizam Bin, Jawad, Mohammed Saeed, Alduais, Nayef Abdulwahab Mohammed, Sharma, Akhilesh Kumar, Erianda, Aldo

“…The globalization of manufacturing has increased the risk of counterfeiting as the demand grows, the production flow increases, and the availability expands…”
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Deep Pipeline Architecture for Fast Fractal Colour Image Compression Utilizing Inter-colour Correlation by Saad, Abdul-Malik H. Y., Abdullah, Mohd Zaid, Alduais, Nayef Abdulwahab Mohammed, Abdul-Qawy, Antar Shaddad H., Nasser, Abdullah B., Ghanem, Waheed Ali H. M., Sa'd, Adnan H.Y.

“…Fractal compression technique is a well-known technique that encodes an image by mapping the image into itself and this requires performing a massive and…”
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Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging by Altharan, Yahya M, Shamsudin, Shazarel, Lajis, Mohd Amri, Al-Alimi, Sami, Yusuf, Nur Kamilah, Alduais, Nayef Abdulwahab Mohammed, Ghaleb, Atef M, Zhou, Wenbin

“…Direct recycling of aluminum waste is crucial in sustainable manufacturing to mitigate environmental impact and conserve resources. This work was carried out…”
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Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction by Nasser, Abdullah B., Ghanem, Waheed Ali H.M., Saad, Abdul-Malik H.Y., Abdul-Qawy, Antar Shaddad Hamed, Ghaleb, Sanaa A.A., Alduais, Nayef Abdulwahab Mohammed, Din, Fakhrud, Ghetas, Mohamed

“…Software Defect Prediction (SDP) plays a vital role in the software development life cycle as it helps identify and fix software defects. However, predicting…”
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A comparison between single layer and multilayer artificial neural networks in predicting diesel fuel properties using near infrared spectrum by Al-kaf, Hasan Ali Gamal, Chia, Kim Seng, Alduais, Nayef Abdulwahab Mohammed

“…The implementation of near infrared spectroscopy in monitoring diesel fuel properties is highly dependent on the capability of its predictive model. This study…”
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Recent and Future Innovative Artificial Intelligence Services and Fields by Jawad, Mohammed Saeed, Mahdin, Hairulnizam, Mohammed Alduais, Nayef Abdulwahab, Hlayel, Mohammed, Mostafa, Salama A., Abd Wahab, Mohd Helmy

“…Recent innovative Artificial Intelligence (AI) solutions accelerate digital transformations in different fields. It is important to highlight and explore this…”
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Industrial Digital Twins Powered by Artificial Intelligence Solutions for Enhanced Product Life-Cycle Development by Hlayel, Mohammed, Jawad, Mohammed Saeed, Mahdin, Hairulnizam, Mostafa, Salama A., Mohammed Alduais, Nayef Abdulwahab, Abd Wahab, Mohd Helmy

“…Digital-Twin technology can be considered as a giant step toward Industry 4.0. Automated product life-cycle development that can be achieved by digital-twin…”
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