76 results for "machine learning"
Showing 1–20 of 76MachineLearning in Perovskite Solar Cells: Recent Developments and Future Perspectives
Within a short period of time, perovskite solar cells (PSC) have attracted paramount research interests among the photovoltaic (PV) community. Usage of machinelearning (ML) into PSC research is signi...
An inception V3 approach for malware classification using machinelearning and transfer learning
Malware instances have been extremely used for illegitimate purposes, and new variants of malware are observed every day. Machinelearning in network security is one of the prime areas of research tod...
Flash Drought: Review of Concept, Prediction and the Potential for MachineLearning, Deep Learning Methods
Abstract This paper reviews the Flash Drought concept, the uncertainties associated with FD prediction, and the potential of MachineLearning (ML) and Deep learning (DL) for future applications. For t...
Process intensification 4.0: A new approach for attaining new, sustainable and circular processes enabled by machinelearning
This paper reviews system-level transformations converging into the next generation of Process Intensification strategies defined as PI4.0. Process Intensification 4.0 uses data-driven algorithms to u...
A review of machinelearning applications in human resource management
Purpose This paper reviews 105 Scopus-indexed articles to identify the degree, scope and purposes of machinelearning (ML) adoption in the core functions of human resource management (HRM). Design/met...
Multi-Sensor Fault Diagnosis for Misalignment and Unbalance Detection Using MachineLearning
Rotating machines frequently undergo various faults causing increased maintenance and operation costs. To minimize these costs, effective and intelligent methods are thus required. Different sensor mo...
MachineLearning-Based Fault Diagnosis of Self-Aligning Bearings for Rotating Machinery Using Infrared Thermography
Bearings are considered as indispensable and critical components of mechanical equipment, which support the basic forces and dynamic loads. Across different condition monitoring (CM) techniques, infra...
Interpretable MachineLearning
SERS Nanowire Chip and MachineLearning-Enabled Classification of Wild-Type and Antibiotic-Resistant Bacteria at Species and Strain Levels
Antimicrobial resistance (AMR) is a major health threat worldwide and the culture-based bacterial detection methods are slow. Surface-enhanced Raman spectroscopy (SERS) can be used to identify target ...