Effective Barrage Noise Jamming for Spotlight SAR Using Extended Kalman Filter-Based Kinematic Parameter Estimation by Haemin Lee, Ki-Wan Kim

“…Finally, we designed the algorithm with the derived models to generate the jamming signals. …”
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Optimizing Feature Selection for IOT Intrusion Detection Using RFE and PSO by zahraa mehssen agheeb Alhamdawee

“…In this paper, An approach the defense algorithm of IDS for IoT networks’ security development contrary to attacks of DoS applying unusual ML and diagnosis has been presented. …”
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Parameterization of user functions in digital signal processing for obtaining angular superresolution by A. A. Shchukin, A. E. Pavlov

“…The aim of the present work is to develop a digital signal processing algorithm for obtaining angular superresolution.Methods. …”
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Designing and implementing a Web-based real time routing service for crisis management (a case study for district 11 of Tehran) by javad sadidi, seyed hassan hosseini sajedi

“…In this service ANP model was used to evaluate increasing interaction between the factors, and since the purpose of this study was to find the best possible routs between two nodes by non-negative weight according to the main distance factor, Dijkstra's algorithm has been chosen as a proper routing algorithm. …”
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Superficially Plausible Outputs from a Black Box: Problematising GenAI Tools for Analysing Qualitative SoTL Data by Mirjam Sophia Glessmer, Rachel Forsyth

“…In some instances, interpretations and extrapolations of data happened when it was clearly stated in the prompt that the tool should only analyse a specified dataset based on explicit instructions. Since both algorithm and training data of the GenAI tools are undisclosed, it is impossible to know how the outputs had been arrived at. …”
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Determination of the Effect of Some Properties on Egg Yield with Regression Analysis Met-hod Bagging Mars and R Application by Demet Canga, Mustafa Boğa

“…Since the number of broken / cracked eggs and dead animals is less than 5 weeks, these variables are not included in the estimation equation in MARS and Bagging MARS models. …”
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Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases by Htet Yamin Ko Ko, Nitin Kumar Tripathi, Chitrini Mozumder, Sombat Muengtaweepongsa, Indrajit Pal

“…Telemedicine and remote patient monitoring (RPM) systems have been gaining interest and received adaptation in healthcare sectors since the COVID-19 pandemic due to their efficiency and capability to deliver timely healthcare services while containing COVID-19 transmission. …”
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Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks by César Ortega-Corral, Luis E. Palafox, J. Antonio García-Macías, Jaime Sánchez-García, Leocundo Aguilar, Juan Iván Nieto-Hipólito

“…We present refinements of a novel transmission power control (TPC) algorithm based on temperature and relative humidity (TRH). …”
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Spectrum Efficient Resource Allocation of NOMA Downlink System With MMSE Receiver by Rui Zhu, Jianxin Guo, Feng Wang, Baoqin Lin, Yarong Chen

“…Non-orthogonal multiple access (NOMA) with the effective successive interference cancellation (SIC) is proved as a promising solution to improve the spectrum efficiency (SE). However, since the effective SIC usually requires complex algorithm and leads to higher processing delay, it may not be accepted by the B5G wireless communication due to the limited hardware resource of the mobile terminal and strict real-time request of service. …”
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Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time by Roja Ruhbakhsh, Esmaeil Mehdizadeh, Mohammad Amin Adibi

“…Since the problem is NP-hard, NSGA-II and NRGA algorithms were used to solve the proposed problem.…”
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AN INTELLIGENT POSTOPERATIVE CHRONIC PAIN PREDICTION SYSTEM (I-POCPP) by Elif Kartal, Fatma Önay Koçoğlu, Zeki Özen, İlkim Ecem Emre, Gürcan Güngör, Pervin Sutaş Bozkurt

“…Since the attribute importance ranking obtained as a result of the C5.0 algorithm was not consistent with the RF and CART models, the results of this model were not evaluated. …”
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Errors and complications with post-traumatic frontal deformities of the elbow joint corrected with supracondylar osteotomy with the Ilizarov apparatus by Yuri P. Soldatov, Alexander N. Diachkov

“…The objective was to identify errors and complications in patients with post-traumatic coronal deformities of the elbow joint treated with the Ilizarov apparatus and to determine a rational algorithm for the prevention. Material and methods The study included 68 patients with elbow deformities in the frontal plane. …”

Estimating the Significance of Computer Model Factors Based on a Simple Neural Network by Volodymyr Pepelyaev, Nataliia Oriekhova, Ihor Lukyanov

“…The model was then used to determine the significance of factors in sets of initial populations for a multipopulational genetic algorithm (MGA) study. Conclusions. The proposed algorithm based on a simple neural network allows to correctly and quickly determine insignificant factors in a set of initial populations for the study of MGA, containing from 8 to 10 populations (250 - 300 samples). …”
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Wavelet Multiresolution Analysis-Based Takagi–Sugeno–Kang Model, with a Projection Step and Surrogate Feature Selection for Spectral Wave Height Prediction by Panagiotis Korkidis, Anastasios Dounis

“…Significant wave height prediction is studied as a time series problem, hence, the appropriate inputs to the model are selected by developing a surrogate-based wrapped algorithm. The developed wrapper-based algorithm, employs Bayesian optimisation to deliver a fast and accurate method for feature selection. …”
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Analysis and prediction of infectious diseases based on spatial visualization and machine learning by Yunyun Cheng, Yanping Bai, Jing Yang, Xiuhui Tan, Ting Xu, Rong Cheng

“…Abstract Infectious diseases are a global public health problem that poses a threat to human society. Since the 1970s, constantly mutated new infectious viruses have been quietly attacking humanity, and at least one new type of infectious disease is discovered every year. …”
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Research on Gamma Image Reconstruction Method Based on Multi-distance System Matrix Superposition by WU Yuan1, 2, , XU Feng1, 2, , ZHOU Yicong1, 2, XIAO Yufeng1, 2, ZHENG Yulai3

“…In order to enable the gamma camera to accurately locate multiple radioactive sources in the unknown radiation field at the same time, this paper proposed a multi-distance system matrix superposition gamma image reconstruction algorithm based on the maximum likelihood expectation maximization (MLEM) algorithm. …”
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Computationally Efficient Single Layer Transformer Convolutional Encoder for Accurate Price Prediction of Agriculture Commodities by Caceja Elyca Anak Bundak, Mohd Amiruddin Abd Rahman, Nurin Syazwina Mohd Haniff, Nur Syaiful Afrizal, Khairul Adib Yusof, Muhammad Khalis Abdul Karim, Md Shuhazlly Mamat, Romi Fadillah Rahmat

“…To minimize complexity while maintaining performance, a single dense layer is used for the output instead of the Multi-Layer Perceptron (MLP) and omit positional encoding, which leverages the natural sequence order of the time series data. Additionally, since time-series price data normally comes with missing values, this study introduce a sequence nearest neighbor imputation algorithm for anchoring that data to complement the STCE method. …”
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Performance enhancement scheme for IRS-assisted cognitive backscatter communication network by Bin LYU, Yi CAO, Jian LI, Ting QI

“…In order to achieve the self-sustainable cognitive radio network （CRN） and improve its communication efficiency， an efficient multi-mode switching scheme assisted by the intelligent reflecting surface （IRS） for the overlay scenario was proposed.In particular， the secondary transmitter （ST） could work in either backscatter communication （BackCom） mode or harvest-then-transmit （HTT） mode.The IRS was exploited to enhance the energy harvesting， information backscattering， and information transmission efficiencies at the ST.To maximize the system sum-rate， an optimization problem about the phase shirts at the IRS， time scheduling， and power allocation was formulated.Since the formulated problem was non-convex， an efficient block coordinate descent （BCD） based algorithm was proposed to achieve the sub-optimal solution.Simulation results confirm that the proposed scheme can achieve up to 200% sum-rate gain over the benchmark schemes.…”
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Research of a Novel Ship-loading Energy Circulatory System under Multi-process State by Jiang Hui

“…For the problems of high energy consumption,low utilization in ship sailing process,a new type of ship-loading energy circulatory system is presented,the system with the process of the flow field around the sports field of the ships as a power source kinetic energy is transformed into electrical energy.In the model,according to the changing of the sailing process state,the DMC-PID mixed prediction control algorithm is introduced to adjust the transmission ratio of belt drive in the system.Finally,the variable law of the belt drive parameters characteristic and performance indicators of the ship-loading energy circulatory system under the condition of transmission ratio under control are studied.The results show that the designed novel ship-loading energy circulatory system is feasible through analysis of performance indicators,since the introduction of variable transmission ratio belt drive system and DMC-PID control system in the energy circulatory system,the performance of the system is improved.…”
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Research on edge offloading delay optimization of cellular networks based on optimal transport theory by Xiangyu LYU, Yong XIAO, Yi ZHONG, Qiang LI, Xiaohu GE

“…With the development of the internet of things, a large number of user device (UD) were connected to cellular network.Since the changes in the spatial distribution of UD and application requirements, it is necessary to dynamically adjust the UD’ offloading decision.Comprehensively considering various parameter information in the networks such as the spatial distribution of UD, application requirements, and the processing capability of the edge servers on the base station (BS) side, the offloading decision of UD were optimized from the perspective of distribution.Based on the optimal transport theory, a delay optimization algorithm was proposed to reduce the average delay of the UD’ computing tasks offloading process by reasonably planning the offloading BS of the UD in the networks.The simulation results show that the average delay can be reduced by 81.06% using the proposed offloading mechanism based on delay optimization, and the traffic handled by each BS is balanced.…”
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