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Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques
Social media platforms have revolutionized traditional communication techniques by allowing people to connect instantaneously, openly, and...
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Target adaptive extreme learning machine for transfer learning
Extreme learning machines (ELM) have been applied in several fields due to their simplicity and computational efficiency. However, ELM hurts the...
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Detection of malicious URLs using machine learning
The detection of fraudulent URLs that lead to malicious websites using addresses similar to those of legitimate websites is a key form of defense...
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Machine learning-aided generative molecular design
Machine learning has provided a means to accelerate early-stage drug discovery by combining molecule generation and filtering steps in a single...
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A systematic review on smart waste biomass production using machine learning and deep learning
The utilization of waste materials, as an energy resources, requires four main steps of production, pre-treatment, bio-refinery, and upgrading. This...
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A Modified Stochastic Gradient Descent Optimization Algorithm With Random Learning Rate for Machine Learning and Deep Learning
An optimization algorithm is essential for minimizing loss (or objective) functions in machine learning and deep learning. Optimization algorithms...
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Improved financial forecasting via quantum machine learning
Quantum algorithms have the potential to enhance machine learning across a variety of domains and applications. In this work, we show how quantum...
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Hessian unsupervised extreme learning machine
Extreme learning machines (ELMs) are shown to be efficient and effective learning algorithms for regression and classification tasks. ELMs, however,...
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The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning
The landscape of machine learning is changing rapidly due to the ever-evolving nature of data and devices. The large centralized data is replaced by...
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Prediction of Water Level Using Machine Learning and Deep Learning Techniques
Forecasting the water levels in rivers and lakes is critical for flood warnings and water-resource management. Many soft computing techniques have...
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Machine learning security and privacy: a review of threats and countermeasures
Machine learning has become prevalent in transforming diverse aspects of our daily lives through intelligent digital solutions. Advanced disease...
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A comprehensive review of COVID-19 detection with machine learning and deep learning techniques
PurposeThe first transmission of coronavirus to humans started in Wuhan city of China, took the shape of a pandemic called Corona Virus Disease 2019...
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Machine learning enhancing metaheuristics: a systematic review
During the optimization process, a large number of data are generated through the search. Machine learning techniques and algorithms can be used to...
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Digitalisierung der Handsortierung durch Künstliche Intelligenz, Machine Learning und Human Machine Interaction
Waste management is transforming into a manufacturing industry in the circular economy. Despite advances and optimisations in automatic sensor-based...
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Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Healthcare prediction has been a significant factor in saving lives in recent years. In the domain of health care, there is a rapid development of...
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Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators
Quantum machine learning with variational quantum algorithms (VQA) has been actively investigated as a practical algorithm in the noisy...
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Simple rules outperform machine learning for personnel selection: insights from the 3rd annual SIOP machine learning competition
Machine learning (ML) algorithms are often assumed to be the most accurate way of producing predictive models despite problems with explainability...
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Application of machine learning algorithm in electronic book database management system
Intelligent algorithms have excellent performance in managing large databases and mining effective knowledge, and many researchers have introduced...
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Ensemble of deep learning and machine learning approach for classification of handwritten Hindi numerals
Given the vast range of factors, including shape, size, skew, and orientation of handwritten numerals, their machine-based recognition is a difficult...
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MLOps: Machine Learning Operations
MLOps—machine learningMachine learning engineering for production, or DevOps for machine learningMachine learning—is the intersection of people,...