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 …
[HTML][HTML] Predicting microbe organisms using data of living micro forms of life and hybrid microbes classifier
Microbe organisms make up approximately 60% of the earth's living matter and the human
body is home to millions of microbe organisms. Microbes are microbial threats to health and …
body is home to millions of microbe organisms. Microbes are microbial threats to health and …
[HTML][HTML] A novel methodology for human kinematics motion detection based on smartphones sensor data using artificial intelligence
Kinematic motion detection aims to determine a person's actions based on activity data.
Human kinematic motion detection has many valuable applications in health care, such as …
Human kinematic motion detection has many valuable applications in health care, such as …
[HTML][HTML] A novel ensemble method for enhancing Internet of Things device security against botnet attacks
The growing number of connected Internet of Things (IoT) devices has led to the daily
growth of network botnet attacks. The networks of compromised devices controlled by a …
growth of network botnet attacks. The networks of compromised devices controlled by a …
Effective feature engineering technique for heart disease prediction with machine learning
Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning-
based technique is needed to predict heart failure health status early and take necessary …
based technique is needed to predict heart failure health status early and take necessary …
Employee Performance Prediction: An Integrated Approach of Business Analytics and Machine Learning
MDR Hasan, RK Ray… - Journal of Business and …, 2024 - al-kindipublisher.com
Workforce performance prediction plays an instrumental role in human resource
management since it facilitates pinpointing and nurturing high-performing staff, fortifying …
management since it facilitates pinpointing and nurturing high-performing staff, fortifying …
Applying artificial intelligence for talent retention: a systematic literature review
EFR Seixas, J Viterbo, F Bernardini… - 2023 18th Iberian …, 2023 - ieeexplore.ieee.org
Retaining talented and experienced employees is vital to the success of any organization.
Our work seeks to explore how studies apply tools based on Artificial Intelligence in Human …
Our work seeks to explore how studies apply tools based on Artificial Intelligence in Human …
Preventing Road Accidents through Early Detection of Driver Behavior using Smartphone Motion Sensor Data: An Ensemble Feature Engineering Approach
Driver behavior refers to the actions and attitudes of individuals behind the wheel of a
vehicle. Poor driving behavior can have serious consequences, including accidents …
vehicle. Poor driving behavior can have serious consequences, including accidents …
Analysis and classification of employee attrition and absenteeism in industry: A sequential pattern mining-based methodology
Employee attrition and absenteeism are major problems that affect many industries and
organizations, resulting in diminished productivity, elevated costs, and losses. These …
organizations, resulting in diminished productivity, elevated costs, and losses. These …
[PDF][PDF] Employee Attrition Prediction using Nested Ensemble Learning Techniques
MS Alshiddy, BN Aljaber - International Journal of …, 2023 - pdfs.semanticscholar.org
In many industries, including the IT industry, rising employee attrition is a major concern.
Hiring a candidate for an unsuitable job because of issues with the employment process can …
Hiring a candidate for an unsuitable job because of issues with the employment process can …