A hybrid attack detection strategy for cybersecurity using moth elephant herding optimisation‐based stacked autoencoder by Abdullah Shawan Alotaibi

Get full text

ANALYSIS OF ECONOMIC THOUGHT IN THE CONTEXT OF PREREQUISITES FOR THE DEVELOPMENT OF CLUSTER FORMATIONS IN THE WORKS OF FOREIGN SCIENTISTS by Anastasiia O. Vasylchenko, Olena V. Dymchenko

“…Marshall, who saw the following pattern: enterprises will be able to achieve savings due to internal resources and a system of interaction with suppliers of raw materials and in the presence of highly specialized specialists. …”
Get full text

STL-DCSInformer-ETS: A Hybrid Model for Medium- and Long-Term Sales Forecasting of Fast-Moving Consumer Goods by Yecheng Ma, Lili He, Junhong Zheng

“…Meanwhile, the ETS model specializes in modeling seasonal patterns, further refining forecasting precision. To further improve predictive performance, the Random Forest-based Recursive Feature Elimination (RF-RFE) method is applied to optimize feature selection. …”
Get full text

Capturing Built Environment and Automated External Defibrillator Resource Interplay in Tianjin Downtown by Sara Grigoryan, Yike Hu, Nadeem Ullah

“…This study applied an Optuna-based extreme gradient boosting (OP_XGBoost) decision tree model with SHapely Additive exPlanations (SHAP) and partial dependence plots (PDPs) aiming to scrutinize the spatial effects, relative importance, and non-linear impact of BE features on AEDR intensity across grid and block urban patterns in Tianjin Downtown, China. …”
Get full text

GaitCSF: Multi-Modal Gait Recognition Network Based on Channel Shuffle Regulation and Spatial-Frequency Joint Learning by Siwei Wei, Xiangyuan Xu, Dewen Liu, Chunzhi Wang, Lingyu Yan, Wangyu Wu

“…Subsequently, channel shuffling operations facilitate information exchange between different semantic groups, achieving adaptive enhancement and optimization of features with relatively low parameter overhead. The spatial-frequency joint learning module maps spatiotemporal features to the spectral domain through fast Fourier transform, effectively capturing inherent periodic patterns and long-range dependencies in gait sequences. …”
Get full text

A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

“…In response to these shortcomings, a multilevel feature extraction approach was proposed by integrating spatial and temporal features to improve the action recognition precision. …”
Get full text

Clinicopathological and Targeted Exome Gene Features of a Patient with Metastatic Acinic Cell Carcinoma of the Parotid Gland Harboring an ARID2 Nonsense Mutation and CDKN2A/B Delet... by Wayne A. Warner, Deborah J. Wong, Fernando Palma-Diaz, Terry Y. Shibuya, Jamil Momand

Get full text

Enhancing No Reference Laparoscopic Video Quality Assessment with Evolutionary ANFIS by Biswas Sria, Palanisamy Rohini

Get full text

Comparison of PCA and 2DPCA Accuracy with K-Nearest Neighbor Classification in Face Image Recognition by Sri Sutarti, Anggyi Trisnawan Putra, Endang Sugiharti

“…Face recognition is a special pattern recognition for faces that compare input image with data in database. …”
Get full text

Detecting expert’s eye using a multiple-kernel Relevance Vector Machine by Giuseppe Boccignone, Mario Ferraro, Sofia Crespi, Carlo Robino, Claudio de’Sperati

“…Decoding mental states from the pattern of neural activity or overt behavior is an intensely pursued goal. …”
Get full text

A Bird Vocalization Classification Method Based on Bidirectional FBank with Enhanced Robustness by Chizhou Peng, Yan Zhang, Jing Lu, Danjv Lv, Yanjiao Xiong

“…Recent advances in audio signal processing and pattern recognition have made the classification of bird vocalization a focus of bioacoustic research. …”
Get full text

Parcel-scale crop planting structure extraction combining time-series of Sentinel-1 and Sentinel-2 data based on a semantic edge-aware multi-task neural network by Zhiguang Tang, Xiangdong Wang, Qin Jiang, Haizhu Pan, Gang Deng, He Chen, Yuanhong You, Sijia Li, Haiyan Hou

“…This study proposes a parcel-scale remote sensing methodology for agricultural cultivation pattern extraction to address the classification inaccuracies observed in previous crop planting structure identification studies. …”
Get full text

A Novel Long Short-Term Memory-Based Approach for Microgrid Fault Detection and Classification Using the Wavelet Scattering Transform by Naema M. Mansour, Abdelazeem A. Abdelsalam, Ibrahim A. Awaad

“…To address this gap, this study proposes a novel fault detection and classification approach that combines the Wavelet Scattering Transform (WST) for robust feature extraction with a Long Short-Term Memory (LSTM) network for accurate temporal pattern recognition and classification. …”
Get full text

A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images by Oguzhan Katar, Ozal Yildirim, Ru-San Tan, U Rajendra Acharya

“…This model processes deep, textural and contextual features obtained by using EfficientNet-B0, local binary pattern (LBP) and vision transformer (ViT) encoder as feature extractors, respectively. …”
Get full text

A Hybrid Learning Framework for Enhancing Bridge Damage Prediction by Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

“…The proposed approach combines pixel-based feature method local binary pattern (LBP) with the mid-level feature bag of visual words (BoVW) for feature extraction, followed by the Apriori algorithm for dimensionality reduction and optimal feature selection. …”
Get full text

Propagation of Radiofrequency Waves in Space by Bernard Démoulin

“…The principal antenna designs, radiation patterns, the effects of soil electrical conductivity and diffraction caused by obstacles such as buildings and mountains are discussed. …”
Get full text

Quelques aspects de la propagation des ondes radioélectriques by Bernard Démoulin

“…A short overview without mathematic requirements will be proposed about the basic features of electromagnetic wave propagation. Analysis of various antenna technologies, radiation patterns, effect of earth electrical conductivity and diffraction due to buildings and mountains bring some additional elements. …”
Get full text

Machine learning classification of chronic traumatic brain injury using diffusion tensor imaging and NODDI: A replication and extension study by J. Michael Maurer, Keith A. Harenski, Subhadip Paul, Victor M. Vergara, David D. Stephenson, Aparna R. Gullapalli, Nathaniel E. Anderson, Gerard J.B. Clarke, Prashanth K. Nyalakanti, Carla L. Harenski, Jean Decety, Andrew R. Mayer, David B. Arciniegas, Vince D. Calhoun, Todd B. Parrish, Kent A. Kiehl

“…Our research group previously used FA as a feature in a linear support vector machine (SVM) pattern classifier, observing high classification between individuals with and without acute TBI (i.e., an area under the curve [AUC] value of 75.50%). …”
Get full text

Design Procedure for a Novel LMDS Base Station Reflectarray Antenna by Reza Masoumi, Robab Kazemi

“…An iterative design procedure, that is valid for obtaining any arbitrary pattern, has been implemented to achieve the specified radiation pattern over a desired frequency range. …”
Get full text

SH-SDS: a new static-dynamic strategy for substation host security detection by Yang Diao, Hui Chen, Wei Liu, Abdur Rasool

Get full text