A Biologically Inspired Cost-Efficient Zero-Trust Security Approach for Attacker Detection and Classification in Inter-Satellite Communication Networks by Sridhar Varadala, Hao Xu

“…The Manta Ray Foraging Optimization (MRFO) algorithm is used to minimize this cost, enabling effective classification of nodes as either trusted or malicious based on historical authentication records and real-time behavior. …”
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Secure multidimensional interconnection network for the software defined system on wafer by LI Peijie, SHEN Jianliang, GUO Wei, CAO Zhipeng, MEI Bo

“…An algorithm for multipath selection and computation was proposed to construct heterogeneous multipaths based on interface status. …”
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Snoring Sound Recognition Using Multi-Channel Spectrograms by Ziqiang YE, Jianxin PENG, Xiaowen ZHANG, Lijuan SONG

“…This paper proposes a snoring sound detection algorithm using a multi-channel spectrogram and convolutional neural network (CNN). …”
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Data Transfer Schemes in Rotorcraft Fluid-Structure Interaction Predictions by Young H. You, Deokhwan Na, Sung N. Jung

“…For a CFD (computation fluid dynamics)/CSD (computational structural dynamics) coupling, appropriate data exchange strategy is required for the successful operation of the coupling computation, due to fundamental differences between CFD and CSD analyses. This study aims at evaluating various data transfer schemes of a loose CFD/CSD coupling algorithm to validate the higher harmonic control aeroacoustic rotor test (HART) data in descending flight. …”
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A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores by Fatemeh Hossein-Khani, Omid Akbari

“…Then, the Q-learning algorithm is used for the two latter steps, to map the arrived task on a core such that the minimum thermal variation is occurred among all the bins. …”
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Rejection-Free Monte Carlo Simulation of QUBO and Lechner–Hauke–Zoller Optimization Problems by Yoshihiro Nambu

“…In this study, we implemented a rejection-free Monte Carlo (RFMC) algorithm, which is a kernel of rejection-free SA (RFSA). …”
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Complex network security using community structure and dynamical analysis: spectral clustering and VEIP-WQU model by Morteza Jouyban, Soodeh Hosseini

“…First, we leverage the spectral clustering algorithm to estimate the number of network communities and identify critical community structures. …”
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A novel obfuscation method based on majority logic for preventing unauthorized access to binary deep neural networks by Alireza Mohseni, Mohammad Hossein Moaiyeri, Mohammad Javad Adel

“…This study proposes an innovative key-based algorithm-hardware co-design methodology to protect deep neural network (DNN) models from unauthorized access. …”
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Research on adversarial attacks and defense performance of image classification models for automated driving systems by TANG Jun, HUANG Wenjing, LI Shuang, WU Zili

“…Then, sensitivity analyses were carried out across different regions and examples to identify attack mechanisms using three adversarial interpretation algorithms: LRP, Grad-CAM, and LIME. …”
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Power quality solutions for rail transport using AI-based unified power quality conditioners by D. K. Nishad, A. N. Tiwari, Saifullah Khalid, Sandeep Gupta

“…Abstract This paper proposes an artificial intelligence-based Unified Power Quality Conditioner (AI-UPQC) and a unique Dynamic K-factor PI (DKPI) algorithm for PI-UPQC to address power quality issues in electrified railway systems. …”
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Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters. by Lorenzo Sani, Alessandro Vispa, Riccardo Loretoni, Michele Duranti, Navid Ghavami, Daniel Alvarez Sánchez-Bayuela, Stefano Caschera, Martina Paoli, Alessandra Bigotti, Mario Badia, Michele Scorsipa, Giovanni Raspa, Mohammad Ghavami, Gianluigi Tiberi

“…In this paper, we propose to generate, for each breast, a set of conductivity weighted microwave images by using different values of conductivity in the Huygens Principle imaging algorithm. …”
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TLINet: A defects detection method for insulators of overhead transmission lines using partially transformer block. by Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Yongming Zhang, Xiangke Jiao, Baoxi Yuan

“…Additionally, to verify the robustness of the proposed algorithm, TLINet is evaluated on the VOC07 + 12 dataset. …”
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Efficiency of Levilimab in patients with moderate and severe COVID-19 by Yu. M. Gomon, V. V. Strizheletsky, I. G. Ivanov, Yu. E. Balykina, M. V. Ermolyev, A.  S. Kolbin, M. V. Livshits, T.  A. Usmanova, A. M. Fakhrutdinova, Yu. S.  Konstantinova, A. P. Gubanov

“…Objective: evaluation of the clinical and economic efficiency of using Levilimab in the treatment of moderate and severe COVID-19 based on real world data (RWD).Material and methods. …”
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<i>Clostridioides difficile</i> Infections in Children: What Is the Optimal Laboratory Diagnostic Method? by Mohammed Suleiman, Patrick Tang, Omar Imam, Princess Morales, Diyna Altrmanini, Jill C. Roberts, Andrés Pérez-López

“…The results of these tests as standalone methods or in four different testing algorithms were compared to a composite reference method on the basis of turnaround time, ease of use, cost, and performance characteristics including specificity, sensitivity, negative predictive value, and positive predictive value. …”
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The possibilities of optical coherence tomography of the anterior segment in the angio mode (AS-OCTA) in the diagnosis and tactics of surgical treatment of corneal diseases by B.E. Malyugin, S.Yu. Kalinnikova, R.S. Isabekov, O.P. Antonova, A.V. Fomin

“…To describe three clinical cases of corneal vascularization of different etiologies, to evaluate the possibilities of the method of optical coherence tomography of anterior segment in the mode of angiography (AS-OCTA) in diagnostic and selection of treatment strategies of corneal diseases, as well as to provide diagnostic protocol. …”
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A Multifrequency Brain Network-Based Deep Learning Framework for Motor Imagery Decoding by Juntao Xue, Feiyue Ren, Xinlin Sun, Miaomiao Yin, Jialing Wu, Chao Ma, Zhongke Gao

“…The filter bank common spatial pattern (FBCSP) algorithm filters the MI-based EEG signals in the spatial domain to extract features. …”
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Therapy Compliance of Type-2 Diabetes Mellitus Patients Before and During The Covid-19 Pandemic: A Systematic Review by Hidtsa Aqila Noor Arasyi, Dimas Luthfi Razantira, Fina Jazilah Rizqiyah, Salsabilla Zahra Prasetya, Defo Aro Ernadiyanto, Budi Utomo

“…There was a notable difference between the therapy compliance profile of Type-2 Diabetes Mellitus patients before and during the Covid-19 pandemic. …”
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Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach by Tianshu Chen, Yuhan Yang, Zhizhong Huang, Feng Pan, Zhendi Xiao, Kunxue Gong, Wenguang Huang, Liu Xu, Xueqin Liu, Caiyun Fang

“…Methods Utilizing transcriptomic data from TCGA-UCEC and GSE119041 datasets, we employed a comprehensive approach involving 117 machine learning algorithms. Key methodologies included differential gene expression analysis, weighted gene co-expression network analysis, functional enrichment studies, immune landscape evaluation, and multi-dimensional risk stratification. …”
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University proceedings. Volga region. Technical sciences by A.A. Ignatiev, V.A. Dobryakov, V.A. Revyakin

“…The purpose of the work is to algorithmize the process of processing vibration measuring information when generating estimates of the dynamic quality of the machine by the stability margin of the dynamic system in order to identify the initial phase of catastrophic wear of the cutter. …”

AI-Driven Predictive Modeling for Lung Cancer Detection and Management Using Synthetic Data Augmentation and Random Forest Classifier by Nisreen Innab, Asma Aldrees, Dina Abdulaziz AlHammadi, Abeer Hakeem, Muhammad Umer, Shtwai Alsubai, Silvia Trelova, Imran Ashraf

“…Extensive experimental evaluation for this method included testing nine classification algorithms. …”
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