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

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

An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis by Qing Yang, Xinyu Ji, Yuyan Zhang, Shaoyi Du, Bing Ji, Wei Zeng

“…Purpose The purpose of this study is to evaluate the efficacy of lower extremity kinematic gait data for detecting and rating the severity of unilateral hip OA using machine learning algorithms. Methods First, a feature extraction framework is developed to derive several discriminative spatiotemporal and nonlinear features from lower extremity kinematic gait data. …”
Get full text

A REMARKABLE FEATURE OF BIODIVERSITY OF THE COASTAL, MARINE AND ISLAND ECOSYSTEMS OF THE CASPIAN SEA. A NEW LOOK AT THE AGE OF ISLANDS AND LEVEL MODE by G. M. Abdurahmanov, A. A. Teymurov

“…A different situation with understanding and explanation of the pattern of endemism coastal and especially island taxa. …”
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

Use of Socio-economic, Climatic, and Land use Land Cover Patterns in Solid Waste Forecasting with Integrated Gradient LSTNet Based Model in Lomé, Togo by Kanlanféi Sambiani, Yendoubé Lare, Adamou Zanguina, Satyanarayana Narra

“…Few studies have explored recurrent neural network models in municipal solid waste (MSW) generation forecasting regarding the inefficiency of conventional and probabilistic tools. This study aimed to develop a new approach of Integrated Gradient Long- and Short-term Time series Network (LSTNet+IG)-based models, assess the baseline neural network models, and provide features influences explanation on MSW generation by using socio-economic, climatic, and Land Use Land Cover (LULC) patterns. …”
Get full text

Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

“…The controlling factors for abrasion were developed based on geometric and hydraulic features. …”
Get full text

MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction by Yu Zhiguo, Li Zixuan, Li Peng

“…First, most methods fail to adequately integrate multimodal information such as sequence, structure, and disorder properties, leading to inadequate characterization of complex interaction patterns. Second, existing models have difficulty in capturing cross-dependent features between peptides and proteins, limiting the prediction performance. …”
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

Genome-wide characterization and expression profiling of the TGA gene family in sweet orange (Citrus sinensis) reveal CsTGA7 responses to multiple phytohormones and abiotic stresse... by Min Wang, Min Wang, Yue Ma, Yu-Xin Qiu, Si-Si Long, Wen-Shan Dai, Wen-Shan Dai

Get full text

Smart crop disease monitoring system in IoT using optimization enabled deep residual network by Ashish Saini, Nasib Singh Gill, Preeti Gulia, Anoop Kumar Tiwari, Priti Maratha, Mohd Asif Shah

“…Preprocessing is done on the input images using median filtering. Various features, such as Histogram of Oriented Gradient (HoG), statistical features, Spider Local Image Features (SLIF), and Local Ternary Patterns (LTP) are extracted. …”
Get full text

Expression analysis of glutathione S-transferase genes in Lasioderma serricorne (Coleoptera: Anobiidae) subjected to CO₂-enriched atmosphere by XU Kangkang, DING Tianbo, YAN Yi, LI Can, YANG Wenjia

“…Temporal expression profile revealed that all the three GSTs genes were constitutively expressed in the testing stages, exhibited similar developmental expression patterns, with the highest expression level measured in the early larval stage. …”
Get full text

MetaBiome: a multiscale model integrating agent-based and metabolic networks to reveal spatial regulation in gut mucosal microbial communities by Javad Aminian-Dehkordi, Andrew Dickson, Amin Valiei, Mohammad R. K. Mofrad

Get full text

Advancing sustainable agricultural: A novel framework for mapping annual 30-m resolution national-level irrigated croplands by Enyu Du, Fang Chen, Huicong Jia, Jinwei Dong, Lei Wang, Yu Chen

Get full text

A connectionist account of the relational shift and context sensitivity in the development of generalisation by Paul H. Thibodeau, Aviva Blonder, Stephen J. Flusberg

“…Here we demonstrate that this pattern of behaviour naturally emerges over the course of development in a domain-general statistical learning model that employs distributed, sub-symbolic representations. …”
Get full text

Using Hybrid Feature and Classifier Fusion for an Asynchronous Brain–Computer Interface Framework Based on Steady-State Motion Visual Evoked Potentials by Bo Hu, Jun Xie, Huanqing Zhang, Junjie Liu, Hu Wang

“…The method integrates filter bank common spatial patterns (FBCSPs) and filter bank canonical correlation analysis (FBCCA) to extract complementary spatial and frequency domain features from EEG signals. …”
Get full text

FEATURES OF EVALUATING THE RATIONALITY OF CONSUMER BEHAVIOR AT ALL STAGES OF USING NON-STEROIDAL ANTI-INFLAMMATORY DRUGS IN OCCUPATIONAL DISEASES OF THE MUSCULOSKELETAL SYSTEM by Андрей Георгиевич Петров, Сергей Николаевич Филимонов, Виктор Андреевич Семенихин, Ольга Владимировна Хорошилова

Get full text

Interactive Generation of Oral History by a Child with Participation of an Adult by N. M. Yurieva

“…The relevance of the study is due to the need to develop a theory of discursive development during preschool childhood as an important component of knowledge about speech ontogenesis and the features of the formation of narrative competence. …”
Get full text

Detecting Malware C&C Communication Traffic Using Artificial Intelligence Techniques by Mohamed Ali Kazi

“…These feature selection algorithms are also compared with a manual feature selection approach to determine whether a manual, automated, or hybrid feature selection approach would be more suitable for this type of problem.…”
Get full text

A Machine Learning Approach for User Behavior Analysis in Developing Websites by Aeesha Shaheen

Get full text