Aberration Effects of Planar Layers in Near-Field Multistatic Millimeter-Wave Imaging by Hakseok Ko, Mooseok Jang

“…The presented simulator and theoretical analysis would provide a basis for further research on the aberration effects in millimeter-wave imaging for objects concealed within a thick and heterogenous medium.…”
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A recurrent sigma pi sigma neural network by Fei Deng, Shibin Liang, Kaiguo Qian, Jing Yu, Xuanxuan Li

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Integration Method with Backpropagation by Nidhal AL-Assady, Jamal Majeed, Shahbaa Khaleel

“…In this research, a new method is discovered (combined method) to accelerate the backpropagation network by using the expected values of source units for updating weights, we mean the expected value of unit by the sum of the output of the unit and its error term multiplied by the factor Beta to accelerate the algorithm and also adjust the value of learning coefficient continuously if the value of energy function E decreases the learning rate is increased by a factor , if the value of the energy function E increases , the value of the learning rate is decreased by a factor . …”
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Integrated Spatio-Temporal Graph Neural Network for Traffic Forecasting by Vandana Singh, Sudip Kumar Sahana, Vandana Bhattacharjee

“…This research introduces integrated spatio-temporal graph convolutional networks (ISTGCN), designed to capture complex spatiotemporal traffic data patterns. …”
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Forecasting Time Series Movement Direction with Hybrid Methodology by Salwa Waeto, Khanchit Chuarkham, Arthit Intarasit

“…The best forecast accuracy is performed by using mean square error.…”
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Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models by Soud Khalil Ibrahim, Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav, Soumya V. Menon, Debasish Shit, S. Supriya, Rajashree Panigrahi, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Hiba Mushtaq

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Development and application of a robotic coal analysis system for process control in coal preparation by Qi LIU, Yu LIANG, Hong ZHANG, Mingxing WANG, Bao ZONG, Kun YANG, Jinxiang ZHAO, Junwei PEI, Feng ZHANG, Ying LIN

“…The key factors affecting the ashing rate of coal samples are investigated, and an optimized approach using oxygen-enriched combustion technology for ash content determination is proposed. The research demonstrates that when the oxygen flow rate in a muffle furnace exceeds 3 L/min, the test results are consistent with national standards, reducing the measurement time from 40 minutes to 10 minutes, with a maximum repeatability error of no more than 0.20%. …”
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Temperature Effects on Wicking Dynamics: Experimental and Numerical Study on Micropillar-Structured Surfaces by Yoomyeong Lee, Hyunmuk Park, Hyeon Taek Nam, Yong-Hyeon Kim, Jae-Hwan Ahn, Donghwi Lee

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Precision and Reliability of a Dynamometer for Trunk Extension Strength and Steadiness Assessment by Franciele Parolini, Márcio Goethel, Johan Robalino, Klaus Becker, Manoela Sousa, Barbara C. Pulcineli, Ulysses F. Ervilha, João Paulo Vilas-Boas, Rubim Santos

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Improving chlorophyll-a estimation using Sentinel-2 data: a comparative analysis of augmented datasets by Jinmyeong Lee, Do Hyuck Kwon, Heewon Jeong, Gibeom Nam, Euiho Hwang, Jin Hwi Kim, Kyung Hwa Cho, Hyo Gyeom Kim

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Smart Management of Energy Losses in Distribution Networks Using Deep Neural Networks by Ihor Blinov, Virginijus Radziukynas, Pavlo Shymaniuk, Artur Dyczko, Kinga Stecuła, Viktoriia Sychova, Volodymyr Miroshnyk, Roman Dychkovskyi

“…This research presents an advanced methodology for smart management of energy losses in electrical distribution networks by leveraging deep neural network architectures. …”
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Leaf area index-based phenotypic assessment of sweet potato varieties using UAV multispectral imagery and a hybrid retrieval approach by Philemon Tsele, Abel Ramoelo, Lucy Moleleki, Sunette Laurie, Whelma Mphela, Natasha Tshuma

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Numerical approximation for singularly perturbed differential equations exhibiting significant positive shift arising in neuronal activity by Akhila Mariya Regal, Dinesh Kumar S

“…Compared to existing approaches, our method delivers improved accuracy with significantly lower error rates for the tested examples.…”
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Privacy-Preserving Data Sharing and Computing for Outsourced Policy Iteration with Attempt Records from Multiple Users by Bangyan Chen, Jun Ye

“…Reinforcement learning is a machine learning framework that relies on a lot of trial-and-error processes to learn the best policy to maximize the cumulative reward through the interaction between the agent and the environment. …”
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Method of Load Forecasting in Microgrid Based on Differential Expansion of Small Sample Data by Wei JIA, Yuchun HUANG

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Bresenham's Line and Circle Drawing Algorithm using FPGA by Areej Ali, Riyadh Mahmood

“…In addition, it is an incremental error algorithm. It is among the oldest algorithms that have been developed in computer graphics. …”
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A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters by Khoo David Wee Yang, Ng Zhi Qun, Seah Leong Keey

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Active Noise Control Using a Fuzzy Inference System Without Secondary Path Modelling by Sebastian KURCZYK, Marek PAWELCZYK

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Code multiplexing using linear block codes by Rabin Alexey, Rabin Sergei, Zyulkov Arseniy

“…Additionally, the paper discusses the dual benefit of this approach, noting its capacity for simultaneous error correction during the channel division process. …”
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Investigation of Sensor for Measurement of Rotation Angle of Sensitive Element in Rotational Paper Pulp Consistometer by Yevhen Pistun, Bohdan Kril, Oleksandr Romaniuk, Oleksandr Kril

“…The research results can be applied during development of the paper pulp rotation consistency meters based on the compensation of the viscous friction torque and based on the direct measurement of the viscous friction by defining the rotation angle of the sensitive element.…”
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