Research on filter-based adversarial feature selection against evasion attacks by Qimeng HUANG, Miaomiao WU, Yun LI

“…With the rapid development and widespread application of machine learning technology, its security has attracted increasing attention, leading to a growing interest in adversarial machine learning.In adversarial scenarios, machine learning techniques are threatened by attacks that manipulate a small number of samples to induce misclassification, resulting in serious consequences in various domains such as spam detection, traffic signal recognition, and network intrusion detection.An evaluation criterion for filter-based adversarial feature selection was proposed, based on the minimum redundancy and maximum relevance (mRMR) method, while considering security metrics against evasion attacks.Additionally, a robust adversarial feature selection algorithm was introduced, named SDPOSS, which was based on the decomposition-based Pareto optimization for subset selection (DPOSS) algorithm.SDPOSS didn’t depend on subsequent models and effectively handles large-scale high-dimensional feature spaces.Experimental results demonstrate that as the number of decompositions increases, the runtime of SDPOSS decreases linearly, while achieving excellent classification performance.Moreover, SDPOSS exhibits strong robustness against evasion attacks, providing new insights for adversarial machine learning.…”
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Three-Dimensional Extended Target Tracking and Shape Learning Based on Double Fourier Series and Expectation Maximization by Hongge Mao, Xiaojun Yang

“…Specifically, the 3D shape is modeled using a radial function estimated via double Fourier series (DFS) expansion, and orientation is represented using the compact, singularity-free axis-angle method. The ECM algorithm facilitates this joint estimation: an Unscented Kalman Smoother infers kinematics in the E-step, while the M-step estimates DFS shape parameters and rotation angles by minimizing regularized cost functions, promoting robustness and smoothness. …”
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Comparative Analysis of Deep Learning Methods for Classification of Ablated Regions in Hyperspectral Images of Atrial Tissue by Yeva Gabrielyan, Arpi Hunanyan, Sona Bezirganyan, Lusine Davtyan, Ani Avetisyan, Narine Sarvazyan, Aram Butavyan, Varduhi Yeghiazaryan

“…In this experiment, the performance of an algorithm is assessed on the whole HSI cube, and is subject to participants’ interpretation of the extent of RFA-affected tissue. …”
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Transient Equivalent Modelling of a Wind Farm Based on QPSO-Based Wind Turbine Fault Ride-Through Control by Jianan He, Shenbing Ma, Xu Zhang, Meiling Luo, Lei Li, Jian Niu, Haitao Liu, Ping Jin, Yabo Liang

“…Based on the control mechanism of direct-drive wind turbines, this method first analyzes the fault ride-through operating characteristics of wind turbines and establishes a single-machine fault transient model; then, taking the fault ride-through control characteristics of wind turbines as the criteria for subgroups, it calculates the relevant parameters of the group through weighted aggregation and QPSO algorithm, and constructs the fault transient equivalent model of each group; finally, combining with the principle of loss conservation, it integrates and obtains the fault transient equivalent model of the whole wind power field. …”
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The Regional Differentiation on the Spatial Distribution and Influencing Factors of Potential Landslides Across the Entire Loess Plateau, China, Based on InSAR and Subregion XGBoos... by Zhuo Jiang, Chaoying Zhao, Xiaojie Liu, Guoqiang Shi, Ming Yan, Qin Zhang, Jianbing Peng

“…Considering the spatial differentiation of influencing factors for a wide area, we compare the patterns revealed by whole region modeling and subregion modeling. The results indicate that the subregion modeling is superior to whole region modeling, especially in revealing the distribution patterns of influencing factors with spatial heterogeneity. …”
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No reliable gray matter alterations in idiopathic dystonia by Zhen-Yu Wang, Fei Chen, Hai-Hua Sun, Hua-Liang Li, Jian-Bin Hu, Zhen-Yu Dai, Shu Wang

“…Previous voxel-based morphometry (VBM) studies examining whole-brain gray matter (GM) volume alterations in patients with ID have reported inconsistent and occasionally contradictory findings.MethodsWe performed a coordinate-based meta-analysis (CBMA) using the latest seed-based d mapping with permutation of subject images (SDM-PSI) technique to identify consistent GM alterations in patients with ID at the whole-brain level. …”
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Weighted Hybrid Random Forest Model for Significant Feature prediction in Alzheimer’s Disease Stages by M. Rohini, D. Surendran

“…Thus, the proposed Weighted Hybrid Random Forest algorithm (WHBM) utilized the 63 features that comprise the whole brain volume. …”
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A novel framework for optimizing residential load response planning with consideration of user satisfaction by Mohammad Hossein Erfani Majd, Gholam-Reza Kamyab, Saeed Balochian

“…The proposed method utilizes the Meerkat Optimization Algorithm (MOA), which is compared against other optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Teaching-Learning-Based Optimization (TLBO). …”
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Multichannel bioelectronic sensing using engineered Escherichia coli by Xu Zhang, Marimikel Charrier, Caroline M. Ajo-Franklin

“…Abstract To advance environmental health and hazard detection, researchers have developed whole-cell bioelectronic sensors by engineering extracellular electron transfer to be dependent on an analyte1. …”
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Autism spectrum disorder diagnosis with neural networks by Asude Demir, Seher Arslankaya

“…Autism Spectrum Disorder (ASD) affects the whole life of children and leads their families to seek effective treatment and education. …”
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ECONOMIC SECURITY OF REGIONS AS A CRITERION FOR FORMATION AND DEVELOPMENT OF AGRICULTURAL CLUSTERS BY MEANS OF INNOVATIVE TECHNOLOGIES by Roman Viktorovich ZHARIKOV, Valerii Vasilievich BEZPALOV, Sergei Aleksandrovich LOCHAN, Maksim Vyacheslavovich BARASHKIN, Aleksandr Romanovich ZHARIKO

“…The article provides an algorithm and development phases aimed at the creation of a complex economic security system for agricultural regions including an economic risk analysis and management system. …”
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Alignment Optimization of Elastically Supported Submarine Propulsion Shafting Based on Dynamic Bearing Load Influence Numbers by Jinlin Liu, Zheng Gu, Junhui He, Shijie Cao

“…The design scheme of elastically supported submarine propulsion shafting can effectively realize the attenuation of the vibration energy and improve the stealth performance of the whole submarine. However, the elastic deformation generated by the system will affect the alignment state of shafting, thus affecting its safety and reliability. …”
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A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge by Jiafu Su, Jie Wang, Sheng Liu, Na Zhang, Chi Li

“…Then, an improved genetic algorithm is developed to solve the task assignment model. …”
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Public-type MFOs as an element of financial system by А. N. Pyshkin

“…The author develops an algorithm to identify public-type MFOs, analyzes the composition of this segment compared to the MFO Market structure in general. …”
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Research on paddy processing system based on industrial internet of things by ZHOU Jin, LIU Shuang, MIAO Qing

“…<b>Results:</b> Compared with the traditional processing, the improved rice processing system increased the browning rate about 1%, the whole fine rice rate by about 1%, and the production energy consumption is reduced about 15%. …”
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Precise motion control for a space mining robot based on improved African vultures optimization by Baiyi Wang, Xinhua Liu, Marek Rydel, Dezheng Hua, Rafal Stanislawski, Hui Wang, Ke Feng, Zhixiong Li

“…Firstly, the kinematics model of robot’s wheels and the whole vehicle dynamics model in soft soil are established. …”
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Recognition of Manipulative Text: Structure and Dominant Language Parameters by Gulmira N. Kenzhebalina, Gulvira K. Shaikova, Maygul T. Shakenova, Inessa G. Akoyeva

“…Based on the formed working definition of manipulability, an algorithm for analyzing media texts has been developed, which includes a complex of speech and language indicators. …”
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Review on remote OBD system data analysis of heavy-duty diesel vehicle by LIU Haoye, ZHANG Xiaowen, REN Shuojin, WANG Tianyou*

“…The remote OBD system combines OBD technology with wireless communication technology to send the vehicle operation data, emission status and fault information to the regulatory authorities, so as to realize the whole life-cycle emission monitoring of heavy-duty diesel vehicles. …”
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Three-Dimensional in Vivo Imaging of Green Fluorescent Protein-Expressing T Cells in Mice with Noncontact Fluorescence Molecular Tomography by Anikitos Garofalakis, Giannis Zacharakis, Heiko Meyer, Eleftherios N. Economou, Clio Mamalaki, Joseph Papamatheakis, Dimitris Kioussis, Vasilis Ntziachristos, Jorge Ripoll

“…In this article, we present a novel system that enables three-dimensional imaging of fluorescent probes in whole animals using a noncontact setup, in parallel with a three-dimensional surface reconstruction algorithm. …”
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Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis by Fumio Nakaki, James Sharpe

“…We estimated the probability of each class and have found that the partial stealth multiplet, which has been previously overlooked, may impact the results of the whole dataset, particularly when the labelling process or demultiplexing is suboptimal. …”
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