Quadripartitioned Neutrosophic Soft Pre - Open And Pre - Closed Sets by S. Ramesh Kumar, Dr. A. Stanis Arul Mary

“…In order to establish the efficacy of the proposed method, we derive the mathematical formulations for the mean square error (MSE), bias, and the minimum MSE of the estimator, providing approximations up to the first order. …”
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Design of Radix-8 Unsigned Bit Pair Recoding Algorithm-Based Floating-Point Multiplier for Neural Network Computations by J. Jean Jenifer Nesam, S. Sankar Ganesh

“…Finally, the MAC design uses 16-bit FP arithmetic with an <inline-formula> <tex-math notation="LaTeX">$8\times 8$ </tex-math></inline-formula> mantissa multiplier for the CNN accelerator is developed, and it is validated with suitable error metrics like Mean Relative Error (MRE) to assess the suggested architecture for AI applications.…”
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A Complex Wavelet-Based OTFS Scheme for LEO Satellite Communication by Saifur Rahman Sabuj, Han-Shin Jo

“…The discrete wavelet transform (DWT) underlying the complex input signals (high-order modulation) is not applicable in the W-OTFS system because of increased performance errors and peak power. …”
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Different Estimation Methods Using Ranked Set Sampling for the Ramos–Louzada Distribution by Diaa S. Metwally, Amal S. Hassan, Mohammed Elgarhy, Ehab M. Almetwally, Abdoulie Faal, Ahmed M. Gemeay

“…Analysis shows that estimates of RSS datasets have lower mean squared errors compared with SRS estimates. Thus, it can be concluded that the RSS estimates are more efficient than the SRS estimates. …”
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Relações matemáticas entre porosidade drenável e condutividade hidráulica do solo saturado Mathematical relationships between drainable porosity and saturated soil hydraulic conduc... by Kátia D. Ribeiro, João M. S. do Nascimento, Natalino M. Gomes, Luiz A. Lima, Stélio M. Menezes

“…The equation developed by Poulsen et al. (1999a) presented the best results and the smallest error values.…”
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Deepfakes in Visual Art: Differentiating AI-Generated Art From Human Art Using Convolutional Neural Networks (CNN) by Ngonidzashe Tinago, Silas Formunyuy Verkijika, Kelibone Eva Mamabolo

“…This study explores the use of Convolutional Neural Networks (CNNs) to differentiate AI-generated art from human-created art. By employing Error Level Analysis (ELA), an image forensic technique for detecting fake and real images, this study develops a robust CNN classifier. …”
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A Suitable Algorithm to Solve a Nonlinear Fractional Integro-Differential Equation with Extended Singular Kernel in (2+1) Dimensions by Sameeha Ali Raad, Mohamed Abdella Abdou

“…Additionally, the researchers examine the solution’s existence, uniqueness, and convergence in this paper. The error and its stability are also studied. At the end of the research, the authors studied some numerical applications of some of the singular kernels derived from the general kernel, examining the approximation error in each application separately.…”
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Performance of Ground-Based Solar-Induced Chlorophyll Fluorescence Retrieval Algorithms at the Water Vapor Absorption Band by Yongqi Zhang, Xinjie Liu, Shanshan Du, Mengjia Qi, Xia Jing, Liangyun Liu

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An Empirical Model-Based Algorithm for Removing Motion-Caused Artifacts in Motor Imagery EEG Data for Classification Using an Optimized CNN Model by Rajesh Kannan Megalingam, Kariparambil Sudheesh Sankardas, Sakthiprasad Kuttankulangara Manoharan

“…The classification method applies to real tasks with measured EEG data, focusing on accurately interpreting motor imagery signals for practical application. The empirical error model evolved from the inertial sensor-based acceleration data of the subject in motion, the weight of the wheelchair, the weight of the subject, and the surface friction of the terrain under the wheelchair. …”
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Bayesian Analysis of the Doubly Truncated Zubair-Weibull Distribution: Parameter Estimation, Reliability, Hazard Rate and Prediction by Zakiah I. Kalantan, Mai A. Hegazy, Abeer A. EL-Helbawy, Hebatalla H. Mohammad, Doaa S. A. Soliman, Gannat R. AL-Dayian, Mervat K. Abd Elaal

“…Informative priors (gamma distribution) for the parameters are used to obtain the posterior distributions. Under the squared-error and linear–exponential loss functions, the Bayes estimators are derived. …”
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Detection of metabolic disorders in high-risk patients: a pilot study in Salvador, Bahia Detecção de doenças metabólicas em pacientes de alto-risco: estudo piloto em Salvador, Bahi... by Maria Betânia Pereira, Gildásio Carvalho da Conceição, Janice C. Coelho, Moacir Wajner, Roberto Giugliani

“…The purpose of this pilot-study was to evaluate the applicability of a screening protocol for the detection of inborn errors of metabolism (IEM) in high-risk patients. …”
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Applicability of Anisotropic Failure Criteria and Associated Application with Layered Rocks by Wenxue Deng, Tianhong Yang, Honglei Liu, Feiyue Liu, HongLiang Xu

“…This paper examines the applicability of four failure criteria applied to layered rocks, namely, Pariseau’s model, linear empirical equation, nonlinear empirical equation (LEE and NLEE), and Jaeger’s plane-of-weakness model (JPW). …”
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DETERMINING OF OPERATIONAL PARAMETERS FOR TRAWL SYSTEM TAKING INTO ACCOUNT EXPERIMENTAL DATA ON SHAPE OF THE ROPE-NET SHELL OF MIDWATER TRAWLS by O. N. Kruchinin, E. A. Zakharov, D. L. Shabelsky

“…The significant errors cause doubts about correctness of this model equations application for calculation of the catch zone that is necessary for assessment of abundance and biomass of marine biological resources. …”
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Studying the influence of correction codes on coherent reception of M-PSK signals in the presence of noise and harmonic interference by V. D. Nguyen

“…It is shown that the application of the correction codes effectively corrects errors in the presence of noise and harmonic interference with lower intensity. …”
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Combining Hadamard Matrix, Discrete Wavelet Transform and DCT Features based on PCA and KNN for Image Retrieval by Hassan Farsi, Sajad Mohamadzadeh

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Beyond extraction accuracy: addressing the quality of geographical named entity through advanced recognition and correction models using a modified BERT framework by Liuchang Xu, Jiajun Zhang, Chengkun Zhang, Xinyu Zheng, Zhenhong Du, Xingyu Xue

“…In the realm of geospatial services and applications, the accuracy of address information is of utmost importance. …”
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Evaluating 60 GHz Band Underwater Optical Wireless Communication Performance Based on Low-Density Parity Check Coding Under Diverse Water Conditions and Noise Levels by Aser M. Matarneh, Aseel M. Rwaidi, Saqer S. Alja'afreh

“…The signal-to-noise ratio (SNR), bit error rate (BER), and Q-factor were among the most important metrics studied via simulations using OptiSystem v.21 and MATLAB. …”
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DELIK LALU LINTAS YANG MENGAKIBATKAN MENINGGALNYA ORANG LAIN by Muh. Amiruddin

“…The condition of driver unpreparedness opens up great opportunities for severe accidents as well as endangering the safety of other road users.Careless, sleepy, unskilled, tired, not keeping distance, going too fast are examples of driver errors in general.…”
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WORKING ANALYSIS OF SPACE TIME TRELLIS CODE ON WIFI MIMO(2X2) SYSTEM OFDM by Wisnu Broto, Noor Suryaningsih, Adhi Mahendra

“…It is to get the quality of the sending signal in the performance analysis of Bit Error Rate (BER) with Signal to Noise Ratio (SNR). …”
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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

“…Therefore, whether the NOMA with simple receiver could keep performance advantage directly relate to the promotion and application of NOMA in future. In this paper, we mainly investigate the SE performance of the NOMA downlink system with Minimum Mean Squared Error (MMSE) receiver (MMSE-NOMA) under the imperfect SIC (ipSIC) and CSI (ipCSI) assumption. …”
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