Optimizing the Production of LNG and NGL from Arab Crudes and Wet Gases by Adel M. Hemeida, Mohammed S. Al-Blehed, Saad El-Din Desouky

“…The developed model should be utilized as a useful tool to help the design of an efficient processing of natural gases. …”
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A Novel Method for the Estimation of Sea Surface Wind Speed from SAR Imagery by Zahra Jafari, Pradeep Bobby, Ebrahim Karami, Rocky Taylor

“…The accurate estimation of wind speed is crucial for developing an efficient machine learning (ML) model for target detection. …”
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An Integrated Model for Dam Break Flood Including Reservoir Area, Breach Evolution, and Downstream Flood Propagation by Huiwen Liu, Zhongxiang Wang, Dawei Zhang, Liyun Xiang

“…The reasonable and efficient prediction of dam failure events is of great significance to the emergency rescue operations and the reduction in dam failure losses. …”
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Biometric and IoT Integration for Secure and Remote Door Access Control Using Fingerprint Recognition and GSM Technology by S Kanagamalliga, S Rajalingam, A Kannan, M Karthikeyan

“…The reliability and flexibility of Arduino, coupled with the GSM capabilities of SIM900, are utilized to create a robust and efficient solution. …”
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CHAM-CLAS: A Certificateless Aggregate Signature Scheme with Chameleon Hashing-Based Identity Authentication for VANETs by Ahmad Kabil, Heba Aslan, Marianne A. Azer, Mohamed Rasslan

“…Due to the critical time constraints in VANETs, efficient batch verification techniques are crucial. …”
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Method for Extracting Arterial Pulse Waveforms from Interferometric Signals by Marian Janek, Ivan Martincek, Gabriela Tarjanyiova

“…Key features such as the rate of change, the Hilbert transform of the rate of change (envelope), and detected extrema guide the signal reconstruction, offering a computationally efficient pathway to reveal its periodic and phase-dependent dynamics. …”
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Enhancing SR-Tree for Nearest Neighbor Search by Kayumov Abduaziz, Shincheol Lee, Ji Sun Shin

“…First, we improve SR-Tree using a variance-based bulk-loading algorithm to build an efficient tree structure. Second, we apply the approximation of the smallest enclosing ball and leaf-level pruning methods to improve performance of kNN queries. …”
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An Intelligent Technique for Android Malware Identification Using Fuzzy Rank-Based Fusion by Altyeb Taha, Ahmed Hamza Osman, Yakubu Suleiman Baguda

“…Android’s open-source nature, combined with its large market share, has made it a primary target for malware developers. …”
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Advanced computational methods for news classification: A study in neural networks and CNN integrated with GPT by Fahim Sufi

“…In an era inundated with vast amounts of information, the imperative for efficient news classification is paramount. This research explores the sophisticated integration of neural networks and convolutional neural networks (CNN) with Generative Pre-trained Transformers (GPT) to enhance the precision and efficacy of news categorization. …”
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Evaluation of Photo-Fenton and Photo-Fenton-Like Methods for Removing Direct Orange 118 Dye from Wastewater by Tamara Kawther Hussein, Nidaa Adil Jasim

“… Wastewater treatment has used efficient technology methods that can remove any pollutant. …”
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High-throughput discovery of perturbation-induced topological magnons by Mohammed J. Karaki, Ahmed E. Fahmy, Archibald J. Williams, Sara Haravifard, Joshua E. Goldberger, Yuan-Ming Lu

“…In this work, we significantly advance the symmetry-based approach for identifying topological magnons through developing a fully automated algorithm, utilizing the theory of symmetry indicators, that enables a highly efficient and large-scale search for candidate materials hosting perturbation-driven topological magnons. …”
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Highly Reliable Power Circuit Configuration with SiC Chopper Module for Hybrid Fuel Cell and Battery Power System for Urban Air Mobility (UAM) Applications by Moon-Seop Choi, Chong-Eun Kim

“…The results demonstrate its effectiveness, making it a strong candidate for future UAM power systems requiring lightweight, efficient, and fault-tolerant power solutions.…”
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An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection by Farouq Zitouni, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed, Saad Harous

“…Its complexity arises from the vast search space, necessitating the application of metaheuristic methods to efficiently identify optimal feature subsets. In this work, we employed a recently proposed metaheuristic algorithm named the Great Wall Construction Algorithm to address this challenge – a powerful optimizer with promising results. …”
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Bio-Inspired Fine-Tuning for Selective Transfer Learning in Image Classification by Ana Davila, Jacinto Colan, Yasuhisa Hasegawa

“…However, discrepancies between source and target domains can hinder effective transfer learning. …”
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Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants by Fatemeh Hajimohammadali, Emanuele Crisostomi, Mauro Tucci, Nunzia Fontana

“…One of the main goals of the International Energy Agency (IEA) is to manage and utilize clean energy to achieve net zero emissions by 2050. …”
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Evaluating the impact of ambient temperature on energy consumption rate of electric two-wheeler using real-world driving data by N. Kumaresan, A. Rammohan

“…This study investigates the impact of ambient temperature on energy consumption rate and performance of electric two-wheelers by utilizing real-world driving data. An experimental setup consists of drive cycle source, speed control unit, motor control unit, battery pack, and motor with varying ambient temperatures ranging from 15 °C to 40 °C. …”
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Evenness and hairiness measurement of chenille yarn based on an improved pixel difference convolution for the pixel difference network by Chenghan Yang, Yun Xu, Jianpeng Zhang, Jianxin Zhang

“…A computer vision-based image acquisition system is established, utilizing a backlight source for image capture. The captured chenille yarn images show that most textural features align horizontally, while pile yarn introduces hairiness and fiber ends. …”
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A Novel Hybrid Model for Short-Term Forecasting in PV Power Generation by Yuan-Kang Wu, Chao-Rong Chen, Hasimah Abdul Rahman

“…The increasing use of solar power as a source of electricity has led to increased interest in forecasting its power output over short-time horizons. …”
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Emerging strategies in the sustainable removal of antibiotics using semiconductor-based photocatalysts by Yunus Ahmed, Keya Rani Dutta, Parul Akhtar, Md. Arif Hossen, Md. Jahangir Alam, Obaid A. Alharbi, Hamad AlMohamadi, Abdul Wahab Mohammad

“…Nanomaterials can effectively and precisely break down and neutralize antibiotic compounds with high efficiency and selectivity by utilizing a complex interaction between radical reactive oxygen species and non-radical equivalents under light irradiation. …”
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Insight of biological transformation process in the anaerobic codigestion of kitchen waste with landfill site closure leachate by Zhang Jun, Zeng Fan, Liao Xiaofeng, Li Han, Chen Hao, Liao Li, Xu Xiaowei

“…The results demonstrated that when the waste loading rate was ≤ 2% (%w/w, dry mass ratio of kitchen waste) , the anaerobic co-digestion system efficiently degraded the kitchen waste, with over 90% of total gas production occurring within one day after the experiment commenced, indicating the rapid completion of the gasification process. …”
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