Search Results - "Complexity (New York, N.Y.)"
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A Review of Artificial Intelligence (AI) in Education from 2010 to 2020
Published in Complexity (New York, N.Y.) (2021)“…This study provided a content analysis of studies aiming to disclose how artificial intelligence (AI) has been applied to the education sector and explore the…”
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Fake News Detection Using Machine Learning Ensemble Methods
Published in Complexity (New York, N.Y.) (2020)“…The advent of the World Wide Web and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for information dissemination…”
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Additive Manufacturing Technologies: An Overview about 3D Printing Methods and Future Prospects
Published in Complexity (New York, N.Y.) (01-01-2019)“…The use of conventional manufacturing methods is mainly limited by the size of the production run and the geometrical complexity of the component, and as a…”
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Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics
Published in Complexity (New York, N.Y.) (2019)“…Network science provides a set of quantitative methods to investigate complex systems, including human cognition. Although cognitive theories in different…”
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A Pervasive Approach to EEG-Based Depression Detection
Published in Complexity (New York, N.Y.) (01-01-2018)“…Nowadays, depression is the world’s major health concern and economic burden worldwide. However, due to the limitations of current methods for depression…”
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A Systematic Review of Deep Learning Approaches to Educational Data Mining
Published in Complexity (New York, N.Y.) (01-01-2019)“…Educational Data Mining (EDM) is a research field that focuses on the application of data mining, machine learning, and statistical methods to detect patterns…”
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Cardiac Disorder Classification by Electrocardiogram Sensing Using Deep Neural Network
Published in Complexity (New York, N.Y.) (2021)“…Cardiac disease is the leading cause of death worldwide. Cardiovascular diseases can be prevented if an effective diagnostic is made at the initial stages. The…”
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Lightweight Cryptographic Algorithms for Guessing Attack Protection in Complex Internet of Things Applications
Published in Complexity (New York, N.Y.) (2021)“…As the world keeps advancing, the need for automated interconnected devices has started to gain significance; to cater to the condition, a new concept Internet…”
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Intrusion Detection System to Advance Internet of Things Infrastructure-Based Deep Learning Algorithms
Published in Complexity (New York, N.Y.) (2021)“…Smart grids, advanced information technology, have become the favored intrusion targets due to the Internet of Things (IoT) using sensor devices to collect…”
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Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method
Published in Complexity (New York, N.Y.) (2021)“…Heart disease is the deadliest disease and one of leading causes of death worldwide. Machine learning is playing an essential role in the medical side. In this…”
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Three-Dimensional Memristive Hindmarsh–Rose Neuron Model with Hidden Coexisting Asymmetric Behaviors
Published in Complexity (New York, N.Y.) (01-01-2018)“…Since the electrical activities of neurons are closely related to complex electrophysiological environment in neuronal system, a novel three-dimensional…”
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The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discriminative Learning
Published in Complexity (New York, N.Y.) (2019)“…The discriminative lexicon is introduced as a mathematical and computational model of the mental lexicon. This novel theory is inspired by word and paradigm…”
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Anticipating Cryptocurrency Prices Using Machine Learning
Published in Complexity (New York, N.Y.) (01-01-2018)“…Machine learning and AI-assisted trading have attracted growing interest for the past few years. Here, we use this approach to test the hypothesis that the…”
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14
Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model
Published in Complexity (New York, N.Y.) (2021)“…Despite the growing popularity of machine learning models in the cyber-security applications (e.g., an intrusion detection system (IDS)), most of these models…”
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A CNN-LSTM-Based Model to Forecast Stock Prices
Published in Complexity (New York, N.Y.) (2020)“…Stock price data have the characteristics of time series. At the same time, based on machine learning long short-term memory (LSTM) which has the advantages of…”
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A Machine Learning Approach to Predict Air Quality in California
Published in Complexity (New York, N.Y.) (2020)“…Predicting air quality is a complex task due to the dynamic nature, volatility, and high variability in time and space of pollutants and particulates. At the…”
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A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices
Published in Complexity (New York, N.Y.) (01-01-2019)“…Crude oil is one of the most important types of energy for the global economy, and hence it is very attractive to understand the movement of crude oil prices…”
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Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks
Published in Complexity (New York, N.Y.) (2020)“…In the field of ophthalmology, diabetic retinopathy (DR) is a major cause of blindness. DR is based on retinal lesions including exudate. Exudates have been…”
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Analytical Investigation of Noyes–Field Model for Time-Fractional Belousov–Zhabotinsky Reaction
Published in Complexity (New York, N.Y.) (2021)“…In this article, we find the solution of time-fractional Belousov–Zhabotinskii reaction by implementing two well-known analytical techniques. The proposed…”
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Oscillation Criteria for Third-Order Emden–Fowler Differential Equations with Unbounded Neutral Coefficients
Published in Complexity (New York, N.Y.) (2019)“…New sufficient conditions for the oscillation of all solutions to a class of third-order Emden–Fowler differential equations with unbounded neutral…”
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