Three-Dimensional Object Recognition Using Orthogonal Polynomials: An Embedded Kernel Approach by Aqeel Abdulazeez Mohammed, Ahlam Hanoon Al-sudani, Alaa M. Abdul-Hadi, Almuntadher Alwhelat, Basheera M. Mahmmod, Sadiq H. Abdulhussain, Muntadher Alsabah, Abir Hussain

“…It is based on different signal reprocessing techniques; therefore, developing efficient techniques becomes essential to achieving fast and reliable processing. Various signal preprocessing operations have been used for computer vision, including smoothing techniques, signal analyzing, resizing, sharpening, and enhancement, to reduce reluctant falsifications, segmentation, and image feature improvement. …”
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YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation by Ramanjot Kaur, Usha Mittal, Ankita Wadhawan, Ahmad Almogren, Jimmy Singla, Salil Bharany, Seada Hussen, Ateeq Ur Rehman, Asma A. Al-Huqail

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Internet of Things Integration in Smart Cities Enhancing Urban Living through Connected Technologies by Gondhalekar Gaurav, Tewari Deeksha, P Balakrishnan, Bhardwaj Indu, Ponnusamy Sivakumar, S Ananthi

“…This framework spokes out low-power networks (LoRaWAN, NB-IoT) with edge computing for energy efficiency optimization, operation cost reduction, and high-level data processing. …”
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Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

“…The FPGA is responsible for processing this system with utmost security and without any internet connectivity. …”
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Machine Learning-Driven Rapid Flood Mapping for Tropical Storm Imelda Using Sentinel-1 SAR Imagery by Reda Amer

“…Dual-polarization Sentinel-1 SAR data (VH and VV) were processed by computing the VH/VV backscatter ratio, and the resulting ratio image was classified using a supervised Random Forest classifier to delineate water and land. …”
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Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning by Mohd Anjum, Naoufel Kraiem, Hong Min, Ashit Kumar Dutta, Yousef Ibrahim Daradkeh, Sana Shahab

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Lightweight CNN model for automatic detection and depth estimation of subsurface voids using GPR B-scan data by Abdelaziz Mojahid, Driss EL Ouai, Khalid EL Amraoui, Khalil EL-Hami, Hamou Aitbenamer, Jochem Verrelst, Pier Matteo Barone

“…Investigation and manual processing of these structures using traditional methods can be difficult and time-consuming. …”
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Highly efficient stacking ensemble learning model for automated keratoconus screening by Zahra J. Muhsin, Rami Qahwaji, Ibrahim Ghafir, Mo’ath AlShawabkeh, Muawyah Al Bdour, Saif Aldeen AlRyalat, Majid Al-Taee

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Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol by Mohammad A. Al Khaldy, Ahmad Nabot, Ahmad al-Qerem, Issam Jebreen, Abdulbasit A. Darem, Asma A. Alhashmi, Mohammad Alauthman, Amjad Aldweesh

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Distributed Heterogeneous Spiking Neural Network Simulator Using Sunway Accelerators by Xuelei Li, Zhichao Wang, Yi Pan, Jintao Meng, Shengzhong Feng, Yanjie Wei

“…Besides, SWsnn relies on parallel Compute Processing Elements (CPEs) rather than serial Manage Processing Element (MPE) to control the communicating buffers, using Register-Level Communication (RLC) and Direct Memory Access (DMA). …”
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A New Evaluation Model for the Readiness and Maturity Level of Intelligent and Sustainable Supply Chain Management Based on Geometric Mean by Sercan Demir, Mehmet Akif Gündüz, Turan Paksoy

“…It is an innovative paradigm with the goal of intensely integrating technologies, such as information technologies, the Internet of Things, artificial intelligence, cloud computing technology, autonomous vehicles, robotic systems, sensor and automation networks, and virtual and augmented reality into production processes. …”
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Application of holography method for the restoration of the Williams series near the crack tip by Larisa V. Stepanova, Denis A. Semenov, Gennadij S. Anisimov

“…The article describes the processing of the results of a series of experiments performed by the interference-optical method of holographic interferometry (holographic photoelasticity) aimed at computing the amplitude coefficients of the M. …”
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A Martingale Posterior-Based Fault Detection and Estimation Method for Electrical Systems of Industry by Chao Cheng, Weijun Wang, He Di, Xuedong Li, Haotong Lv, Zhiwei Wan

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Spatially-Aware Loss Functions for GAN-Driven Super-Resolution by Xijun Wang, Santiago Lopez-Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos

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The interaction between local melting and helium bubble in radiated aluminium under dynamic tension at high temperature and strain rates by Tingting Zhou, Fuqi Zhao, Anmin He, Pei Wang

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Reduced Noise Effect in Nonlinear Model Estimation Using Multiscale Representation by Mohamed N. Nounou, Hazem N. Nounou

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Nanotechnology and Augmented Reality as the Basis for Virtualization of Edu cational Material in Training by V. V. Belyaev, T. N. Gran, A. A. Zorina, V. G. Kostyakova, M. V. Shevchuk, V. V. Minyailov, V. A. Chertopolokhov

“…The practical experience of intro ducing VR/AR technologies into the educational process of the State University of Education and Moscow State University is considered using the example of several disciplines: development of an augmented reality mobile application for studying computer architecture as part of a computer science course; creation of virtual laboratory works on the discipline “Introduction to the Physics of Nanotechnology”; additional education program in virtual and augmented reality technologies; use of AR to demonstrate 3D models of molecules at the Chemistry Depart ment of Moscow State University. …”
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CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space by Christina Humer, Rachel Nicholls, Henry Heberle, Moritz Heckmann, Michael Pühringer, Thomas Wolf, Maximilian Lübbesmeyer, Julian Heinrich, Julius Hillenbrand, Giulio Volpin, Marc Streit

“…Abstract Chemical reaction optimization (RO) is an iterative process that results in large, high-dimensional datasets. …”
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An approach of mechatronic transmission designing an ecologically friendly vehicle by Bokarev Aleksandr, Levochkin Artem, Rakhaev Sergey, Kartashov Aleksander, Gazizullin Ruslan

“…As a rule, the design process of any vehicle is divided into phases of conceptualization, development and industrialization. …”
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Simulation of Mass and Heat Transfer of Droplets Collision in a Flash Evaporation Pattern by Facheng Qiu, Xianming Zhang, Xinjie Chai, Yingying Dong, Xingjuan Xie, Zuohua Liu, Renlong Liu, Wensheng Li

“…The initial collision velocity influences the heat and mass transfer process of the evaporating droplet by affecting the deformation characteristics of the droplet. …”
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