Image Compression Scheme Using Improved Basic-LAVQ and Optimized VLC by Awad Kh. Al-Asmari, Abobakr S. Ahmed, Abdulla A. Al-Doweesh

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Far-Field Antenna Pattern Reconstruction Through Front and Back Planar Near-Field Scanning by Jeong Yun Han, Dal-Jae Yun, Young Dam Kim

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An r-Order Finite-Time State Observer for Reaction-Diffusion Genetic Regulatory Networks with Time-Varying Delays by Xiaofei Fan, Yantao Wang, Ligang Wu, Xian Zhang

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Robust STAP for MIMO Radar Based on Direct Data Domain Approach by Cheng Chen, Junjie He, Zeshi Yuan, Xiaohua Zhu, Hongtao Li

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Basic assumptions, core connotations, and path methods of model modification—using confirmatory factor analysis as an example by Zhangbo Xiong, Huixian Xia, Jianjun Ni, Hongzhen Hu

“…Except for certain specific models, error correlations should only be established based on theoretical support to improve the model’s goodness-of-fit. …”
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Meta-analysis shows a malleable rightward bias in the expectations of objects in space by Zhiran Luisa Zhao, Emma Louise Pike, Leon Y. Deouell, Chin-Hsuan Sophie Lin, Marta I. Garrido

“…By successfully recalibrating a spatial bias, our research highlights the potential for cognitive adjustments in addressing spatial cognition challenges such as those in unilateral spatial neglect after stroke.…”
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Pengaruh Volume Pembiayaan Bagi Hasil Dan Pembiayaan Murabahah Terhadap Kinerja Keuangan Bank Umum Syariah Periode 2015-2020 by Celine Quatro, Asnaini Asnaini, Aminah Oktarina

“…This study aims to determine the effect of profit-sharing volume and murabahah financing on the performance of Islamic commercial banks for the 2015-2020 period. This research uses ECM (Error Correction Model) analysis with Eviews 8 software. …”
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An Improved Tropospheric Tomographic Model Based on Artificial Neural Network by Minghao Zhang, Kefei Zhang, Suqin Wu, Longjiang Li, Dantong Zhu, Moufeng Wan, Peng Sun, Jiaqi Shi, Shangyi Liu, Andong Hu

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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

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Adaptive optimization of natural coagulants using hybrid machine learning approach for sustainable water treatment by Pallavi Randive, Madhuri S. Bhagat, Mangesh P. Bhorkar, Rajesh M. Bhagat, Shilpa M. Vinchurkar, Sagar Shelare, Shubham Sharma, N. Beemkumar, S. Hemalatha, Parveen Kumar, Ankit Kedia, Ehab El Sayed Massoud, Deepak Gupta, Jasmina Lozanovic

“…To overcome these obstacles, this research paper proposes advanced hybrid models in machine learning to enhance flocculation efficiency. …”
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Computational analysis of turbulent flow characteristics in nanofluids containing 1-D and 2-D carbon nanomaterials: grid optimization and performance evaluation by Hai Tao, Mohammed Suleman Aldlemy, Raad Z. Homod, Mustafa K. A. Mohammed, Abdul Rahman Mallah, Omer A. Alawi, Shafik S. Shafik, Hussein Togun, Blanka Klimova, Hassan Alzahrani, Zaher Mundher Yaseen

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Advancements in combustion technologies: A review of innovations, methodologies, and practical applications by Abdellatif M. Sadeq, Raad Z. Homod, Husam Abdulrasool Hasan, Bilal Naji Alhasnawi, Ahmed Kadhim Hussein, Ali Jahangiri, Hussein Togun, Masoud Dehghani-Soufi, Shahbaz Abbas

“…Multi-scale modeling techniques, such as hybrid DNS-LES models, achieve a 5 % error margin in flame speed predictions, and Adaptive Mesh Refinement (AMR) reduces computational costs by 50 % without compromising accuracy. …”
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A Novel Catchment Estimation for Super-Resolution DEM With Physically Based Algorithms: Surface Water Path Delineation and Specific Catchment Area Calculation by Ajalawit Chantaveerod, Kampol Woradit, Andrew Seagar, Thunyawat Limpiti

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An approximate solution of multi-term fractional telegraph equation with quadratic B-spline basis functions by Ebimene James Mamadu, Henrietta Ify Ojarikre, Daniel Chinedu Iweobodo, Joseph Nwaka Onyeoghane, Jude Chukwuyem Nwankwo, Ebikonbo-Owei Anthony Mamadu, Jonathan Tsetimi, Ignatius Nkonyeasua Njoseh

“…Also, the study examined and presented relevant theorems of convergence and error analyses of method. MAPLE 18 was used for all computational frameworks in this research.…”
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Understanding and Addressing Variability Through Recalibration in a Brain–Computer Interface for Intelligent Vehicle Control Using Long-Term Implanted Human Neural Data: A C... by Yicong Xiao, Spencer Kellis, Christopher. F Reiche, Florian Solzbacher

“…This work involved human subject in its research. Approval of all ethical and experimental procedures and protocols was granted by the FDA and IRB (NCT01997125). …”
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Analysis of Hg(II) Metal by Voltammetric Method Using a Carbon Electrode Modified with EDTA from Used Tire Waste by Sukoma Sukoma, Sagir Alva, Eka Safitri, Julinawati Julinawati, Mustanir Mustanir, Syafrizal Fonna, Muhammad Ihsan, Fitri Dara, Meri Dayanti, Ahmad Kamal Arifin, Khairi Suhud

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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

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The Radius of the High-mass Pulsar PSR J0740+6620 with 3.6 yr of NICER Data by Tuomo Salmi, Devarshi Choudhury, Yves Kini, Thomas E. Riley, Serena Vinciguerra, Anna L. Watts, Michael T. Wolff, Zaven Arzoumanian, Slavko Bogdanov, Deepto Chakrabarty, Keith Gendreau, Sebastien Guillot, Wynn C. G. Ho, Daniela Huppenkothen, Renee M. Ludlam, Sharon M. Morsink, Paul S. Ray

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Time Series Forecasting Method Based on Multi-Scale Feature Fusion and Autoformer by Xiangkai Ma, Huaxiong Zhang

“…Combined with the TPE Bayesian optimization algorithm, the prediction error was further reduced, providing a reference for future research on time series forecasting methods.…”
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Investigating strain rate effects on elastoplastic fracture using a variable material properties-based peridynamic model by Mohammad-Hadi Safari-Naderi, Ahmad Ghasemi-Ghalebahman, Meisam Shakouri

“…This study addresses a significant limitation in bond-based peridynamic (BB-PD) models, which have traditionally struggled to predict failure in ductile materials. The research introduces a novel approach to enhance the capabilities of BB-PD by incorporating the Variable Material Property (VMP) method, enabling accurate modeling of elastoplastic behavior. …”
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