A survey on legal judgment prediction: Datasets, metrics, models and challenges
J Cui, X Shen, S Wen - IEEE Access, 2023 - ieeexplore.ieee.org
Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …
predict judgment results based on fact descriptions automatically. The present work …
Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms
The landscape of Pakistan is vulnerable to flood and periodically affected by floods of
different magnitudes. The aim of this study was aimed to assess the flash flood susceptibility …
different magnitudes. The aim of this study was aimed to assess the flash flood susceptibility …
Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping
Groundwater is a crucial natural resource that varies in quality and quantity across Khyber
Pakhtunkhwa (KPK), Pakistan. Increased population and urbanization place enormous …
Pakhtunkhwa (KPK), Pakistan. Increased population and urbanization place enormous …
The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models
Satellite remote sensing is widely being used by the researchers and geospatial scientists
due to its free data access for land observation and agricultural activities monitoring. The …
due to its free data access for land observation and agricultural activities monitoring. The …
Landslide susceptibility mapping (LSM) of Swat District, Hindu Kush Himalayan region of Pakistan, using GIS-based bivariate modeling
Landslides are a recurrent environmental hazard in hilly regions and affect the
socioeconomic development in Pakistan. The current study area is the tourism and hydro …
socioeconomic development in Pakistan. The current study area is the tourism and hydro …
Using Sentinel-2 data to estimate the concentration of heavy metals caused by industrial activities in Ust-Kamenogorsk, Northeastern Kazakhstan
This study aims to investigate the change in heavy metal concentration and evaluate
pollution intensity using Sentinel-2 data. Sixty samples collected from the surface soil in the …
pollution intensity using Sentinel-2 data. Sixty samples collected from the surface soil in the …
Soft-label for multi-domain fake news detection
D Wang, W Zhang, W Wu, X Guo - IEEE Access, 2023 - ieeexplore.ieee.org
The spread of fake news across several fields has had serious negative impacts on the
public and society. Existing studies have shown that the use of multi-domain labels can …
public and society. Existing studies have shown that the use of multi-domain labels can …
[HTML][HTML] Ensuring earthquake-proof development in a swiftly developing region through neural network modeling of earthquakes using nonlinear spatial variables
Northern Pakistan, the center of major construction projects due to the commencement of the
China Pakistan Economic Corridor, is among the most earthquake-prone regions globally …
China Pakistan Economic Corridor, is among the most earthquake-prone regions globally …
Divorce prediction using machine learning algorithms in Ha'il region, KSA
The application of artificial intelligence (AI) in predictive analytics is growing in popularity. It
has the power to offer ground-breaking solutions for a range of social problems and real …
has the power to offer ground-breaking solutions for a range of social problems and real …
[HTML][HTML] Construction of an early alert system for intradialytic hypotension before initiating hemodialysis based on machine learning
D Hong, H Chang, X He, Y Zhan, R Tong, X Wu, G Li - Kidney Diseases, 2023 - karger.com
Introduction: Intradialytic hypotension (IDH) is prevalent and associated with high
hospitalization and mortality rates. The purpose of this study was to explore the risk factors …
hospitalization and mortality rates. The purpose of this study was to explore the risk factors …