مقالات حوزه «_ Machine learning»

Comparison Between XGBoost and Random Forest in Credit Risk Assessment Using the German Credit Dataset

The imperative for accurate, robust, and transparent credit risk models is a cornerstone of modern financial stability This study conducts a rigorous…

How Far Have We Delved Deep into The Travel Time Prediction Methods? A Review of the Studies from 2010 to 2020

According to statistics, congestion is becoming a great challenge for metropolitan areas, andin congested traffic regimes, prediction of travel time…

A revolution in subsea energy transmission: harnessing the power of artificial intelligence for optimal pipeline design and execution

This article delves into the transformative impact of artificial intelligence AI on subsea energy transmission, focusing on the design and implementa…

ANFIS against LSTM: precipitation time series forecasting

Malignant melanoma diagnosis using machine learning method based oncombination of nonlinear and texture features

In this article, we have presented a new method for diagnosing skin diseases The proposed methoddistinguishes between benign and malignant skin disea…

Evaluation and modeling of flood risk in Kal-e Shur Sabzevarbasin using Machine learning algorithms

The present study aims to compare the efficiency of Machine learning algorithms including BaggingbasedRough Set BRS , Recurrent Neural Network NNETR…

The Impact of Artificial Intelligence in Improving the Design and Production Process of Dental Prostheses

Thematic analysis of urban highway crash narratives using machine learning classifiers

This study presents a novel and robust framework to consequently classify fataland injury crash narratives obtained from urban highway crash reports…

Novel Lora-Based Smart Water Meter For Water Consumption Forecasting In Smart Agriculture

AI For Mental Health Assessment And Intervention: A Systematic Review

ClustClass: Blending traditional meteorology with machine learning for rainfall forecasting

Fault-Propagation Analysis: Unveiling Equivalence in Software Mutation Testing

Efficiently unraveling equivalent mutants in software mutation testing is a critical endeavor forenhancing testing efficacy and resource utilization…

CBCT Convergence With Artificial Intelligence: Evaluating Novel Technologies In Endodontic Therapy

Statistics and Probability in Data Science: Combining Statistical Methods with Machine Learning Algorithms for the Analysis of Large and Complex Data

Exploring the Impact of Artificial Intelligence on Advancing Neurorehabilitation Techniques: A Comprehensive Survey in Biomedical Engineering

In recent decades, neurorehabilitation, a key area in biomedical engineering, has increasingly focused on helping people with movement disorders reco…

urban flood risk prediction with machine learning models

A Review of Artificial Intelligence Applications in Marine Biotechnology

This article examines the wide applications of artificial intelligence AI in the field of marine biotechnology and discusses various artificial intel…

Road Car Accident Prediction by Using Machine Learning Techniques

Traffic accidents globally pose a significant public health crisis, resulting in loss of life, injuries, and substantial economic burdens Predictive…

A Review of the Use of Artificial Intelligence Models for Predicting the Treatment Progression and Outcomes of Patients with Psychiatric Disorders

The integration of Artificial Intelligence AI into psychiatry offers a promising solution for predicting treatment outcomes in patients with mental h…

Machine Learning-Based Price Forecasting for Polyethylene Granules

Accurate forecasting of polyethylene granule prices plays a critical role in procurement planning, risk management, and strategic decision making wit…

An Overview of Utilizing Artificial Intelligence in theSimulation Process and Predicting Epoxy Resin Properties

Epoxy resin is extensively employed in a wide range of applications due to its exceptional properties Theperformance of epoxy systems exhibits substa…

Leveraging Machine Learning to Improve Cybersecurity: Methods, Obstacles, and Prospects

From Molecules to Clusters: Unsupervised Learning Insights into Perfume Composition

This study presents a novel application of unsupervised machine learning techniques to analyze the molecular and evaporative characteristics of perfu…

Strategy in sustainable biochemical engineering and synthesis through microbial systems

Environmental concerns and the growing urgency to address climate change have led to the development of sustainable alternatives to fossil fuels and…