Research on the Cultural Landscape Features and Regional Variations of Traditional Villages and Dwellings in Multicultural Blending Areas: A Case Study of the Jiangxi-Anhui Junctio... by Yapeng Duan, Mingxia Chen, Yue Liu, Yuan Wang, Li Zhang

Get full text

Recapitulation of physiologic and pathophysiologic pulsatile CSF flow in purpose-built high-throughput hydrocephalus bioreactors by Ahmad Faryami, Adam Menkara, Shaheer Ajaz, Christopher Roberts, Ryan Jaroudi, Blake Gura, Tala Hussini, Carolyn A. Harris

“…Methods The AIMS setup was developed to recapitulate a wide range of physiologic and pathophysiologic CSF flow patterns with varying pulse amplitude, pulsation rate, and bulk flow rate with high throughput capabilities. …”
Get full text

DTC-m6Am: A Framework for Recognizing N6,2′-O-dimethyladenosine Sites in Unbalanced Classification Patterns Based on DenseNet and Attention Mechanisms by Hui Huang, Fenglin Zhou, Jianhua Jia, Huachun Zhang

Get full text

The Role of Annealing Treatment on Crystallographic, Optical, and Electrical Features of Bi2O3 Thin Films Prepared Using Reactive Plasma Sputtering Technology by Sabeeha A. J. Beden, Hassan A. Dumboos, Mustafa K. Ismael, Mohanad Kadhim Mejbel

Get full text

INFLUENCE OF PSYCHOPHYSIOLOGICAL FACTORS OF ETHICAL RELATIONSHIP OF DRIVERS ON THE EFFICIENCY OF THE FREIGHT TRANSPORTATION IN INTERNATIONAL TRAFFIC by О. А. Tettsoeva

“…This fact predefines the need to raise at the state level the issue of the development and implementation of the Ethical code of conduct for the driver, which will take into account national behavioral patterns and regulatory documents, governing road traffic in different states.…”
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

Enhanced visibility graph for EEG classification by Asma Belhadi, Pedro G. Lind, Pedro G. Lind, Pedro G. Lind, Youcef Djenouri, Youcef Djenouri, Anis Yazidi, Anis Yazidi

“…Electroencephalography (EEG) holds immense potential for decoding complex brain patterns associated with cognitive states and neurological conditions. …”
Get full text

Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

“…The explainability results reveal distinct feature importance patterns for each crop and region. …”
Get full text

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

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

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

“…Subsequently, the Global Separability Index (GSI) was used to optimize feature selection. Ultimately, a parcel-scale random forest (RF) model was developed to enable accurate crop type classification and spatial delineation of crop planting structures. …”
Get full text

EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models by B. R. Nayana, M. N. Pavithra, S. Chaitra, T. N. Bhuvana Mohini, Thompson Stephan, Vijay Mohan, Neha Agarwal

“…Firstly, a conventional machine learning model was developed post-pre-processing, and feature extraction from the power spectral density was done using a Random Forest classifier. …”
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

Propagation of Radiofrequency Waves in Space by Bernard Démoulin

“…This paper deals with the scattering of electromagnetic waves in space, in particular that of radio waves used for broadcasting, TV and telecommunications. The basic features of electromagnetic wave propagation are described without any mathematical development. …”
Get full text

Mechanisms and thresholds of land use affecting surface water quality in Hangzhou City’s residential areas by Qianhu Chen, Jinye Huang

Get full text

ARTISTIC CHARACTERISTICS AND INNOVATIVE DESIGN OF WOMEN’S DUDOU IN QING DYNASTY by Wang Yujuan, Ruslana Viktorivna Khynevych

“…The literature research method, case study method, and empirical summary method are used to analyse the current research status, morphological features, pattern themes, colour usage, and design innovations of women's Dudou in the Qing Dynasty. …”
Get full text

Histology image analysis of 13 healthy tissues reveals molecular-histological correlations by Yi Gao, Jianwen Liang, Mu Tian, Wenjiang Deng, Lei Wang, Siyuan Tao, Tian Mou

“…Furthermore, research on the association between imaging features and gene expression patterns in multiple tissues is still lacking. …”
Get full text

Integrating CEUS Imaging Features and LI-RADS Classification for Postoperative Early Recurrence Prediction in Solitary Hepatocellular Carcinoma: A Machine Learning-Based Prognostic... by Liang L, Pang J, Zhang B, Que Q, Gao R, Wu Y, Peng J, Zhang W, Bai X, Wen R, He Y, Yang H

“…Model performance was evaluated using the concordance index (C-index), area under the curve (AUC), calibration curves, decision curve analysis (DCA), and Kaplan–Meier (KM) survival analysis.Results: Five significant features identified by univariate Cox regression were included in model development: microvascular invasion (MVI), tumor size, LI-RADS classification, tumor necrosis, and arterial enhancement patterns. …”
Get full text

Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier by Hong Zheng MS, Wei Chen MS, Jun Liu MD, Lian Jian MD, Tao Luo BS, Xiaoping Yu MD

“…Introduction This study aimed to devise a diagnostic algorithm, termed the Refined Radiomics and Deep Learning Features-Guided CatBoost Classifier (RRDLC-Classifier), and evaluate its efficacy in predicting pathological high-grade patterns in patients diagnosed with clinical stage I solid lung adenocarcinoma (LADC). …”
Get full text

K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Stud... by Said Salloum

“…The proposed hybrid method included three stages: (1) unsupervised clustering using K-means to group visually similar features; (2) feature extraction using Histogram of Oriented Gradients (HOG) to capture texture and shape patterns; and (3) classification using a CNN trained on the extracted features. …”
Get full text