Legal-criminological analysis of the impact of the Covid-19 pandemic on domestic violence A case study of Mashhad women by Hamidreza Danesh Nari, akram khabiri noghani

“…The important effect of Covid-19 in the field of criminology studies is the change in the algorithm of patterns of delinquency, victimization and fluctuation in the rates of various crimes. …”
Get full text

Enhancing precision flood mapping: Pahang's vulnerability unveiled. by Tahmina Afrose Keya, Siventhiran S Balakrishnan, Maheswaran Solayappan, Saravana Selvan Dheena Dhayalan, Sreeramanan Subramaniam, Low Jun An, Anthony Leela, Kevin Fernandez, Prahan Kumar, A Lokeshmaran, Abhijit Vinodrao Boratne, Mohd Tajuddin Abdullah

“…The objective of the research was to create a flood susceptibility map for the designated area by employing an Ensemble Machine Learning (EML) algorithm based on geographic information system (GIS). …”
Get full text

Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…To address these challenges, this research introduces an innovative method that integrates Robust Seasonal-Trend Decomposition (RSTL) with an Adaptive Seagull Optimisation Algorithm (ASOA)-optimized Long Short-Term Memory (LSTM) neural network. …”
Get full text

The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric Analysis by Nataliia Trushkina

“…The results of the analysis can be used in further research to substantiate and develop an algorithm of actions for rapid response to crisis phenomena and adaptation of the functioning of critical infrastructure facilities to new global challenges.…”
Get full text

Examining Deep Learning Techniques for Ethical Artificial Intelligence: Cleansing Malicious Comments from Users by Ji Woong Yoo, Kyoung Jun Lee, Arum Park

“…This study adds to the existing research by showing how advanced deep learning techniques can effectively identify and classify harmful comments by analyzing complex language patterns.…”
Get full text

Relationship between the Significant Solutions of Static Traffic Assignment Problems for Mixed Traffic Flow of Connected and Automated Vehicles and Human-Driven Vehicles by Jaewoong Yun

“…The proposed algorithm extends the most widely used method in transportation planning research, which can overcome the limitations of asymmetric interaction problems through simple variations. …”
Get full text

Fast and Efficient Drone Path Planning Using Riemannian Manifold in Indoor Environment by Rohit Dujari, Brijesh Patel, Bhumeshwar K. Patle

“…Leveraging topological metrics, the T3DRM efficiently classifies these patterns for effective path planning. The findings of this research demonstrate the efficiency of path planning based on classified obstacle positions, enabling swift and efficient drone navigation. …”
Get full text

Determining Promotions at UD. Jakarta Pixel using Web-Based FP-Growth Association Model by Lisa Elisia Potale, Muhammad Sabri Ahmad, Amal Khairan

“…Jakarta Pixel. The research results indicate that the FP-Growth algorithm successfully analyzes customer purchasing patterns, identifies relationships between frequently purchased products, and enables the store to design more targeted promotions according to customer preferences. …”
Get full text

AdaSpline-Net for Improved Short-Term Solar Irradiance Forecasting by Ngiap Tiam Koh, Anurag Sharma, Jianfang Xiao, Cheng Siong Chin, Chin Jun Xing, Wai Lok Woo

“…Neural networks utilizing backpropagation are a powerful tool for solar irradiance forecasting, which is vital for climate research and energy market operations. This study addresses the challenge of modeling complex, nonlinear relationships between weather parameters by introducing an innovative adaptive B-spline activation function. …”
Get full text

Experimental Study on Compressive Capacity Behavior of Helical Anchors in Aeolian Sand and Optimization of Design Methods by Qingsheng Chen, Wei Liu, Linhe Li, Yijin Wu, Yi Zhang, Songzhao Qu, Yue Zhang, Fei Liu, Yonghua Guo

“…The research findings demonstrate the following: (1) Compressive capacity exhibits significant enhancement with increasing helix diameter yet displays limited sensitivity to helix number. (2) Load–displacement curves progress through three distinct phases—initial quasi-linear, intermediate non-linear, and terminal quasi-linear stages—under escalating pressure. (3) At embedment depths of <i>H</i> < 5<i>D</i>, tensile capacity diminishes by approximately 80% relative to compressive capacity, manifesting as characteristic shallow anchor failure patterns. (4) When <i>H</i> ≥ 5<i>D</i>, stress redistribution transitions from bowl-shaped to elliptical contours, with ≤10% divergence between uplift/compressive capacities, establishing 5<i>D</i> as the critical threshold defining shallow versus deep anchor behavior. (5) The helix spacing ratio (<i>S</i>/<i>D</i>) governs the failure mode transition, where cylindrical shear (CS) dominates at <i>S</i>/<i>D</i> ≤ 4, while individual bearing (IB) prevails at <i>S</i>/<i>D</i> > 4. (6) XGBoost feature importance analysis confirms internal friction angle, helix diameter, and embedment depth as the three parameters exerting the most pronounced influence on capacity. (7) The proposed computational models for <i>N</i>_q and <i>K</i>_u demonstrate exceptional concordance with numerical simulations (mean deviation = 1.03, variance = 0.012). …”
Get full text

A Spatiotemporal Dataset of Soil Properties in Northeast China Based on Soil Sampling and Interpolation From 2009 to 2020 by Shuzhen Li, Jieyong Wang, Xu Lin, Yaqun Liu

Get full text

FUNCTIONING OF THE CAR PARKING PLACES NEAR HOUSES: FORMULATION OF THE PROBLEM OF THE ROAD CITY NETWORK by I. E. Agureev, D. A. Yurchenko

“…The paper formulates a goal and poses tasks for the research conducting of the adjoining territories of residential areas in Tula as one of the urban traffic flows’ sources and of the identifying patterns of the parking places near houses’ influence on the road network loading.Materials and methods. …”
Get full text

Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

“…This research offers technical support for Yue Opera music education and interdisciplinary research. …”
Get full text

Successive Cohorts of Twitter Users Show Increasing Activity and Shrinking Content Horizons by Frederik Wolf, Sune Lehmann, Philipp Lorenz-Spreen

“… The global public sphere has changed dramatically over the past decades: A significant part of public discourse now takes place on algorithmically driven platforms. Despite its growing importance, there is scant large-scale academic research on the long-term evolution of user behaviour on these platforms. …”
Get full text

A Bibliometric Analysis of Publications on Surveillance and New Media Concepts in The Web of Science Database by Anıl Durmuşahmet

“…The study aims to identify both the density and the gaps in current research, while also offering guidance for future scholarly work. …”
Get full text

Numerical investigation on damage characteristics of surrounding rocks in the deep underground tunnel subjected to full-face smooth blasting by Hongbo Du, Xiao Huang, Haoran Wang, Yu Wan, Shiyuan Huang, Wenjie Li

Get full text

Mapping of Local Climate Zones and Heat Hazard Assessment from a Historical-Future Perspective by Jiayi Ren, Jun Yang, Wenbo Yu, Nan Cong, Xiangming Xiao, Jianhong Xia, Xueming Li

“…Local climate zone (LCZ) characterization reduces LULC uncertainty in climate research. This study designed a future multiscenario LCZ thermal environment assessment framework that integrates remote sensing images, a patch-level land use simulation model, and a contribution algorithm. …”
Get full text

Integration of Deep Learning and Machine Learning Techniques for Advancing the Detection of Plant Diseases by Abdul Karim, Touqeer Ahmed Jumani, Muhammad Amir Raza, Shadi Khan Baloch, Nouman Qadeer Soomro, Muhammad Masud, Muhammad Salman Saeed, Mouaaz Nahas, Aamir Ali Patoli

“…CNN derived intricate patterns from images, whereas the XGBoost algorithm is employed for precise categorization. …”
Get full text

Quantifying Spatiotemporal Changes in Supraglacial Debris Cover in Eastern Pamir from 1994 to 2024 Based on the Google Earth Engine by Hehe Liu, Zhen Zhang, Shiyin Liu, Fuming Xie, Jing Ding, Guolong Li, Haoran Su

“…To address this research gap, this study employed Landsat remote sensing images within the Google Earth Engine platform, leveraging the Random Forest algorithm to classify the supraglacial debris cover. …”
Get full text

Non-compaction cardiomyopathy. Part II: limitations of imaging techniques and genetic screening, clinical observations by T. G. Vaikhanskaya, L. N. Sivitskaya, T. V. Kurushko, T. V. Rusak, O. D. Levdansky, N. G. Danilenko, O. G. Davydenko

“…A promising solution is the development of a multistep algorithm for the diagnosis of NCM with the integration of familial, morphological, genetic and clinical data.The article presents a brief literary review on NCM diagnosis with a discussion of own research and comparative characteristics of clinical and genetic data. …”
Get full text