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Crime analysis and prediction using machine-learning approach in the case of Hossana Police Commission
Crime is a socioeconomic problem that affects the quality of life and economic growth of a country, and it continues to increase. Crime prevention...
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Churn Prediction in Telecom Using VNS Algorithm with Bootstrap Resampling Technique
Customer churn is often called customer attrition, or customer defect which is the rate at which customers are lost. Churn is important in the... -
Text-based automatic personality prediction: a bibliographic review
Personality detection is an old topic in psychology and automatic personality prediction (or perception) (APP) is the automated (computationally)...
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A discussion of current crime forecasting indices and an improvement to the prediction efficiency index for applications
Hot-spot maps regularly aid many policing resource allocation decisions in today’s data-driven age. However, it is unclear what forecasting...
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The Catastrophe of Corruption in the Sustainability of Foreign aid: A Prediction of Artificial Neural Network Method in Indonesia
The rising corruption levels in Indonesia are becoming a cause for concern and raise doubts about their impact on the stability of foreign aid in the...
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Social prediction: a new research paradigm based on machine learning
Sociology is a science concerned with both the interpretive understanding of social action and the corresponding causal explanation, process, and...
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Prediction and Analysis of Transit Ferries Travel Time: An Open Data-Based Case Study
The prediction of transit travel time using machine learning is an area of growing interest. Unlike previous research that focused on buses and rail... -
Stock Market Prediction Based on Advanced LSTM Models
Deep learning models prove their success in solving time series problems in many domains such as the stock market. In this contribution, we compared... -
Prediction of land use and land cover changes for upstream of the Adyar sub-basin, Tamil Nadu, South India, deep learning based on artificial neural networks
This study investigates the potential of land use and land cover (LULC) maps in balancing preservation, development pressures, and competing uses....
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Illusion of prediction possibility of random outcomes: experimental results
The study shows the erroneous perception of probability biased by illusion of prediction possibility. Even if the probability of winning is known,...
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School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach
Designing early warning systems through machine learning (ML) models to identify students at risk of dropout can improve targeting mechanisms and...
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Prediction of juvenile crime in Bangladesh due to drug addiction using machine learning and explainable AI techniques
In this paper, we depict the concept of predicting juvenile crime due to drug addiction using machine learning techniques. With the exponentially...
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Land use/land cover dynamics study and prediction in jaipur city using CA markov model integrated with road network
Land Use Land Cover (LULC) dynamics analysis is critical and should be done regularly. It draws attention to LULC developments that can be addressed...
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Prediction of landuse/landcover using CA-ANN approach and its association with river-bank erosion on a stretch of Bhagirathi River of Lower Ganga Plain
The present study documents the landuse and landcover change on a stretch of the Bhagirathi river in the last three decades in response to river bank...
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Prediction of waterlogged zones under heavy rainfall conditions using machine learning and GIS tools: a case study of Mumbai
Flooding is a common phenomenon in the urban areas located close to the seacoast. In India, there is a recurrence of floods in the coastal cities of...
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Backtesting stochastic mortality models by prediction interval-based metrics
Human lifespan increments represent one of the main current risks for governments and pension and health benefits providers. Longevity societies...
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Psychological Theory and the Illusion of Scientific Prediction
The attempt of empiricist psychology to achieve scientific respectability through reliance on quantification is deeply flawed. Not only does it come...
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Prediction of male inmate infractions in Taiwan prisons
Maintaining order is very important for correctional authorities, as inmate misbehavior threatens the welling-being of correctional officers and...
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Predictive insights: leveraging Twitter sentiments and machine learning for environmental, social and governance controversy prediction
This research introduces an innovative approach that utilizes machine learning to forecast Environmental, Social, and Governance (ESG) controversies...
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Prediction, Planning, and Fundamental Uncertainty
The chapter opens with a section on energy scarcity. This has led to a rapid global growth in nuclear plants, and periodic major accidents—in spite...