Earthquake is a major hazard to humans, buildings, and infrastructure. Early warning systems should detect an earthquake issue with information such as location, magnitude, depth. detection from raw waveform data using deep learning models graph neural networks (GNN) becoming important research area. The multilayered structure of the GNN number epochs takes more training time. It also hard train model saturating nonlinearities. batch normalization technique applied each mini-batch reduce in...

The external environment in the transitional zone of ecological barrier is fragile, and economic growth has resulted a series land degradation issues, significantly impacting regional development environment. Therefore, monitoring, assessing, predicting use changes are crucial for security sustainable development. This study developed an integrated model comprising convolutional neural network, cellular automata, Markov chain to forecast status western Jilin, located barrier, by year 2030....

Generative adversarial networks (GAN), which are fueled by deep learning, an efficient technique for image reconstruction using under-sampled MR data. In most cases, the performance of a particular model’s must be improved substantial proportion training However, gathering tens thousands raw patient data model in actual clinical applications is difficult because retaining k-space not customary process. Therefore, it imperative to increase generalizability network that was created small...

Earthquakes threaten people, homes, and infrastructure. Earthquake detection is a complex task because it does not show any specific pattern, unlike object from images. Convolutional neural networks have been widely used for earthquake but problems like vanishing gradients, exploding, parameter optimization. The ensemble learning approach combines multiple models, each of which attempts to compensate the shortcomings others enhance performance. This article proposes an model based on stacked...

Earthquakes threaten people, homes, and infrastructure. Early warning systems provide prior of oncoming significant shaking to decrease seismic risk by providing location, magnitude, depth information the event. Their usefulness depends on how soon a strong shake begins after warning. In this article, authors implement deep learning model for predicting earthquakes. This is based graph convolutional neural network with batch normalization attention mechanism techniques that can successfully...

Land use change monitoring is a common theme in achieving sustainable development, while research on ecological barrier transition zones relatively scarce. This study quantitatively analyzes the characteristics and patterns of land Western Jilin, located transitional zone between northeast forest belt northern sand prevention belt, from 1990 to 2020. dynamic index matrix are used quantify rates intensities, conversions different types over time, respectively. Geodetector adopted analyze...

Copper minerals, as a critical industrial raw material, are essential to global economic development. To explore the research status, hotspots, and frontiers in field of copper mineral prediction, 472 Chinese articles 152 English published between 1974 2024 were collected from CNKI Web Science WoS core databases. Using community structure analysis software CiteSpace, visualization was conducted on aspects such collaborative authorship, countries, institutions, keyword clustering,...

This study presents a new differenced Automated Temporal Burn Index (dATBI) designed for mapping burned areas and assessing burn severity using Landsat data Google Earth Engine (GEE). The dATBI can utilize atmospherically corrected surface reflectance pre- post-fire images as well single pre-fire multi-temporal to map accurately. atmospheric correction was done the Simplified Robust Surface Reflectance Estimation Method (SREM). effectiveness of evaluated across various wildfire events, with...

Land use regression (LUR) modeling is a promising method for assessing the spatial variation of air pollutant concentrations.We developed an LUR model pollutants (SO 2 , NO and PM 10 ) in central cities Liaoning Province using monitoring data collected during 2013.We evaluated whether addition annual satellite aerosol optical depth (AOD) observations fi ve canyon indicators (building height, building coverage ratio, fl oor area shape coeffi cient, high-rise ratio) improved...

The discovery of more hydrocarbon wells remains a major recipe to boost the economy Nigeria, oil producer in Africa. seismic method is prominent for identifying traps explorations, but cannot indicate if trap host hydrocarbon. This gap usually filled by radiometric method, its characteristics around Kolmani well 1 have hitherto not been reported. research focused on promising locations accumulation Well while using as control. To achieve objectives this research, nature radioelements was...

This paper explores the rationale and factors that led to adoption of Beijings Belt Road Initiative. The study analysis land corridors in detail investigate its progress challenges posed each corridor. aims find out real motives behind overall concept benefits it brings China participant states. Additionally, examines origin, capacity extortions faced BRI while making a reality. project plans greater trade industrial activities through energy communication infrastructure, activating ports...

Modern digital systems, which involve high data computations, suffer from memory access latency; thus, latency becomes a core issue in the performance enhancement of these advance machines. Different factors are behind systems. Approaches like array binding and allocation, code rewriting, others adopted to reduce overall In this paper, we explore new dimensions achieve maximum optimization applications that extensive access. The proposed algorithm idle/slack time management utilizes empty...

Ubiquitous processing has the special property when contrasted with customary desktop figuring framework.Really in ubiquitous, more computational force earth by utilizing any gadget everything was accessible and open.Numerous machines give interface to single client concealing every one of gadgets from foundation.Programming Engineering unbelievable meaning area pervasive processing.There no basic level engineering which utilized satisfactory for a wide range ubiquitous application.Because...