A simplified downlink interference model for low- altitude three-dimensional networking scenarios by ZHOU Jiao, LI Xin, CAO Lei, CHEN Weiyan, FAN Wen, ZHANG Xin, QIN Jie, XU Lefei

“…This model could obtain the performance of low-altitude coverage using only the angle of tilt and the relative position information between users and base stations, thereby simplifying the process of performance and interference analysis in low-altitude scenarios.…”
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Impact of process parameters and material selection on the mechanical performance of FDM 3D-Printed components by Md Mahbub Morshed Haque, Suchinto Roy Dhrubo, Al-Fida Zubayer Pranto, Akash Ahmed, Md Miraj Arefin, Md Arifuzzaman, Md Shariful Islam

“…Fused Deposition Modelling (FDM) is a widely adopted additive manufacturing technique that constructs objects by sequentially depositing layers of thermoplastic filament. …”
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Enhancing Security of Proof-of-Learning Against Spoofing Attacks Using Feature-Based Model Watermarking by Ozgur Ural, Kenji Yoshigoe

“…The rapid advancement of machine learning (ML) technologies necessitates robust security frameworks to protect the integrity of ML model training processes. Proof-of-Learning (PoL) is a critical method for verifying the computational effort in training ML models, while model watermarking is a strategy for asserting model ownership. …”
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Developing a business model focused on the planning sustainability of forest sector enterprises by Ihor Soloviy, Orest Kiyko, Vasyl Lavnyy, Igor Bukhanevych, Oksana Pelyukh, Mykhailo Ilkiv, Taras Chelepis, Dmytro Savka, Andriy Lutsenco

“…The aim of the study is to analyze and develop prototypes of a sustainable business model for Ukrainian forest enterprises using a specific wood processing enterprise as an example. …”
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A Short-Term Electricity Load Complementary Forecasting Method Based on Bi-Level Decomposition and Complexity Analysis by Xun Dou, Yu He

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Multi-Objective Parameter Optimization of Rotary Screen Coating Process for Structural Plates in Spacecraft by Yanhui Guo, Yanpeng Chen, Peibo Li, Xinfu Chi, Yize Sun

“…Considering the thickness and uniformity of the adhesive layer as the objectives, the improved algorithm was used to optimize the prediction model to obtain the optimal process parameters. …”
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Physical and biogeochemical processes in controlling the seasonal variation of dissolved oxygen in the Bohai and Yellow Seas by Wenshuo Zhang, Haiyan Zhang, Guisheng Song, Liang Zhao, Hao Wei

“…Deoxygenation in coastal seas has significant implications to the marine ecosystems. In this study, the processes influencing the seasonal variation of dissolved oxygen (DO) in the Bohai and Yellow Seas (BS and YS) are investigated using a coupled physical-biogeochemical model. …”
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Exploring the energy landscape of RBMs: reciprocal space insights into bosons, hierarchical learning and symmetry breaking by J Quetzalcóatl Toledo-Marin, Anindita Maiti, Geoffrey C Fox, Roger G Melko

“…To illustrate our results, we trained replicas of RBMs with different hidden layer sizes using the MNIST dataset. Our findings not only bridge the gap between disparate generative frameworks but also shed light on the fundamental processes underpinning learning in deep generative models.…”
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MATHEMATICAL MODELING OF HEATING RATE PRODUCT AT HIGH HEAT TREATMENT by M. M. Akhmedova, M. E. Akhmedov, A. F. Demirova, V. V. Pinyaskin

“…Methods of computing and mathematical modeling are all widely used in the study of various heat exchange processes that provide the ability to study the dynamics of the processes, as well as to conduct a reasonable search for the optimal technological parameters of heat treatment.This work is devoted to the identification of correlations among the factors that have the greatest effect on the rate of heating of the product at hightemperature heat sterilization in a stream of hot air, which are chosen as the temperature difference (between the most and least warming up points) and speed cans during heat sterilization.As a result of the experimental data warming of the central and peripheral layers compote of apples in a 3 liter pot at high-temperature heat treatment in a stream of hot air obtained by the regression equation in the form of a seconddegree polynomial, taking into account the effects of pair interaction of these parameters.…”
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A Dual-Layered Pythagorean Neutrosophic and Partial Locality Framework for Emotionally Adaptive Furniture Product Design Based on Elderly User Perception by Mingyan Yang

“…In this paper, we propose a novel dual-layered framework that models elderly perception using Pythagorean Neutrosophic Sets (PNS) and Partial Locality Theory. …”
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Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture by Mo Zhang, Yong Ge, Jianghao Wang

“…This study aims to integrate infiltration processes into downscaling models to predict 1-km multi-layer soil moisture, while comparing performance of nonlinear and linear models, and evaluating RK improvements. …”
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Design, Fabrication, and Performance Evaluation of Solar Drying Chamber Used for Apple Slices by Kidane Halefom, Farkas Istvan, Buzás Janos

“…The objectives of the study were to design, fabricate, and evaluate the thermal performance and drying efficiency of solar drying systems and to identify the best thin-layer model for describing the drying kinetics of golden apple slices. …”
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FORMAL REPRESENTATION OF THE PIXEL-BY-PIXEL CLASSIFICATION PROCESS USING A MODIFIED WANG-MENDEL NEURAL NETWORK by Oleksii Kolomiitsev, Volodymyr Pustovarov

“…The following methods and models are used: methods and models of fuzzy set theory (fuzzy Wang-Mendel neural network, interval fuzzy sets of the second type), methods and models of deep learning methodology (convolutional neural network for image segmentation (auto coder) U-net). …”
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Research of heat transfer and magnetohydrodynamics in the flow of liquid between two coaxial cylinders by S.V. Solov′ev

“…Further research is needed to study and better understand such complex processes, which will serve to clarify the mathematical models of heat exchange and magnetohydrodynamics. …”

Case Study on the Effect of Recycled Asphalt Layer Parameters on the Bearing Capacity of the Pavement by Atis Zariņš

“…On the way to exploring different analytical approaches, two approximation models were developed and compared, using the obtained data: by directly approximating the obtained data and after processing them with artificial neural network (ANN).…”
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Effect of Nano-Carbon on Water Holding Capacity in a Sandy Soil of the Loess Plateau by Beibei Zhou, Xiaopeng Chen

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System of polarization autofluorescence diagnostics of biological layers with fuzzy logic of decision support by N.I. Zabolotna, V.V. Sholota

“…The improved diagnostic method involves measuring the intensity distributions of autofluorescence polarimetry and azimuthally independent Muller matrix images of optically thin tissue samples at wavelengths of 450 nm, 550 nm, 650 nm, which correspond to the maxima of the emission spectra of the intrinsic fluorophores of biological layers after excitation by a polarized beam. Further statistical processing of the measured distributions, which is carried out in an improved system of laser polarization autofluorescence diagnostics, allows you to form a vector of informative features from estimates of their averages, dispersion, asymmetry and kurtosis, formed at each of the three specified wavelengths. …”
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Context‐Sensitive Conscious Interpretation and Layer‐5 Pyramidal Neurons in Multistable Perception by Talis Bachmann

“…Methods A cortical multicompartment layer‐5 pyramidal neuron‐based generic processing model is presented in order to conceptualize a possible mechanistic solution for the explanatory cul‐de‐sac. …”
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Enhanced Lung Disease Classification Using CALMNet: A Hybrid CNN-LSTM-TimeDistributed Model for Respiratory Sound Analysis by Reshma Sreejith, R.Kanesaraj Ramasamy, Wan-Noorshahida Mohd-Isa, Junaidi Abdullah

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Noncanonical short-latency auditory pathway directly activates deep cortical layers by Michellee M. Garcia, Amber M. Kline, Koun Onodera, Hiroaki Tsukano, Pranathi R. Dandu, Hailey C. Acosta, Michael R. Kasten, Paul B. Manis, Hiroyuki K. Kato

“…Abstract Auditory processing in the cerebral cortex is considered to begin with thalamocortical inputs to layer 4 (L4) of the primary auditory cortex (A1). …”
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