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Lithium-Ion Batteries: Prognosis Algorithms, Challenges and Future Scenario
This study concentrates on different types of prognosis algorithms for forecasting lithium-ion battery parameters. Various SoC estimation techniques... -
Identifiability Considerations for Rotating Machine Fault Diagnosis and Prognosis
It is important to develop reliable fault diagnosis and prognosis methods for critical mechanical assets such as wind turbines. Reliable fault... -
Diagnosis and Prognosis of Mechanical Components Using Hybrid Methods
Diagnosis and prognosis of mechanical components are important for critical rotating machinery found in the power generation, mining, and aviation... -
An Ensemble Model of Machine Learning for Primary Tumor Prognosis and Prediction
Machine learning is an artificial intelligence division that utilizes various computational, probabilistic, and optimization techniques that enable... -
Combination of condition monitoring and prognosis systems based on current measurement and PSO-LS-SVM method for wind turbine DFIGs with rotor electrical asymmetry
An important and strategic instrument in energy market is wind turbine (WT). WT consists of many components, whose operation and maintenance of them...
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Prediction of Breast Cancer Recurrence in Five Years using Machine Learning Techniques and SHAP
Cancer recurrence is the leading concern among the patients who are affected by breast cancer. Earlier detection of cancer relapse can help the... -
Re-Emerging Systemic Mucormycosis Associated With COVID-19 Infection in Africa
Mucormycosis (MM) is an invasive fungal infection that causes severe systemic infections and poses health risks and threat to life. Despite its... -
Influence of Adaptive Controlling Strategies of Floating Offshore Wind Turbine on Corrosion Fatigue Deterioration of Supporting Towers
Floating offshore wind turbines (FOWTs) demonstrate very promising potential in unlocking the plentiful wind resource in deep-water oceans.... -
Creation of a Simulation Model for the Analysis of Water-Energy Modes of the Operation of the HPP Cascade Based on the Anylogic Software Product
This article reviews aspects of the simulation modeling of a cascade of hydropower plants (HPPs) in the AnyLogic software package. The authors...
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Role of Information and Communication Technology (ICT): Digitalisation of the Energy Industry
The digitalization of the energy industry is the sine qua non of the successful energy transition/sector coupling and is just moving forward. With... -
Introduction
Researchers, developers, entrepreneurs and enthusiasts around the world are working on develo** the use of the much more energetic high-altitude... -
Intelligent Bearing Fault Diagnosis Using Artificial Neural Networks and IoT for Maintenance 4.0 Implementation
The importance of monitoring and locating faults, and detecting potential problems in industrial systems, has become increasingly critical in modern... -
Refractory Lifetime Prediction in Industrial Processes with Artificial Intelligence
This paper deals with refractory lifetime prediction by using artificial intelligenceArtificial intelligence (AI). Through the effective use of... -
A Comprehensive Analysis of Autism Spectrum Disorder Using Machine Learning Algorithms: Survey
One of the psychological disorders known as autism spectrum disorders (ASD) is a very challenging one to analyze and goes undiagnosed in many people.... -
Numerical Simulation of Oka River Bed Deformations Under Different Operating Modes of the Kuzminsk Spillway Dam
The study object is the Kuzminsk hydraulic unit on the Oka river, located near the settlement Aksenovo, Ryazan oblast’. At the end of the navigation...
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Portable Ultrasound Sensors System for Breast Cancer Early Diagnosis
This paper gives a description a new portable system for the detection and prediction of breast cancer prognosis. This system is composed of a set of... -
Breast Cancer Detection and Prediction Based on Conflicts in Fractal Patterns
In the era of big data analytics, prediction of various deceases with the help data science methods is common among researchers. Although applying... -
A Digital Twin Implementation Framework for a Collaborative Robot Based on Iso 23247
Digital Twin (DT) technology, also known as a digital replica, is an important technology in Industry 4.0 that allows for the creation of a virtual... -
EnRaFS: An Ensemble Ranking-Based Feature Selection Approach for Grading Gallbladder Cancer Using Radiomic Analysis
Grading of gallbladder cancer (GBC) is pivotal for the diagnosis and treatment planning of patients suffering from this disease. Radiomics has... -
A Survey on Challenges and Opportunities of Big Data Healthcare Analytics
One of most technical and potential topics in research is healthcare big data analytics. Healthcare includes variety of data in terms of sensor data,...