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. …”
Get full text

Development of an enhanced base unit generation framework for predicting demand in free‐floating micro‐mobility by Dohyun Lee, Kyoungok Kim

“…Therefore, a novel base areal unit generation algorithm is proposed that employs a clustering approach to enhance the prediction accuracy in free‐floating micro‐mobility system demand. …”
Get full text

Prediction of Influence of Environmental Factors on the Toxicity of Pentachlorophenol on <i>E. coli</i>-Based Bioassays by Sulivan Jouanneau, Gerald Thouand

“…Evaluating the impact of pollutants on ecosystems and human health is crucial. …”
Get full text

Non-contact lensless holographic reconstruction of diffractive intraocular lenses profiles by Rosa Vila-Andrés, Anabel Martínez-Espert, Walter D. Furlan, José J. Esteve-Taboada, Vicente Micó

“…Besides, a study evaluating the convergence and robustness of the proposed iterative phase-retrieval routine based on a modified classical Gerchberg-Saxton algorithm is performed. …”
Get full text

Analyzing the efficacy of trimethylolpropane trioleate oil for predicting cutting power and surface roughness in high-speed drilling of Al-6061 through machine learning. by Pramod S Kathmore, Bhanudas D Bachchhav, Duran Kaya, Sachin Salunkhe, Lenka Cepova, Ondřej Mizera, Emad Abouel Nasr

“…Three different measures of accuracy were used to evaluate the performance of the projected values: coefficient of determination (R2), mean absolute percentage error, and mean square error. …”
Get full text

Research on Resource Allocation Method of Integrated Avionics System considering Fault Propagation Risk by Changxiao Zhao, Wei Zhang, Fangzheng Dong, Jun Dai, Lei Dong

“…The resource allocation method is evaluated according to the fault propagation risk model, and a heuristic algorithm is applied to optimize the resource allocation method of the IMA system. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text

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. …”
Get full text

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. …”
Get full text

Rejection-Free Monte Carlo Simulation of QUBO and Lechner&#x2013;Hauke&#x2013;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). …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text