Search Results - "Computational Intelligence and Neuroscience"
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1
Deep Learning for Computer Vision: A Brief Review
Published in Computational intelligence and neuroscience (01-01-2018)“…Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer…”
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2
Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning
Published in Computational intelligence and neuroscience (2021)“…The correct prediction of heart disease can prevent life threats, and incorrect prediction can prove to be fatal at the same time. In this paper different…”
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3
Breast Cancer Detection on Histopathological Images Using a Composite Dilated Backbone Network
Published in Computational intelligence and neuroscience (06-07-2022)“…Breast cancer is a lethal illness that has a high mortality rate. In treatment, the accuracy of diagnosis is crucial. Machine learning and deep learning may be…”
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4
Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
Published in Computational Intelligence and Neuroscience (01-01-2016)“…The latest generation of convolutional neural networks (CNNs) has achieved impressive results in the field of image classification. This paper is concerned…”
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5
Tuna Swarm Optimization: A Novel Swarm-Based Metaheuristic Algorithm for Global Optimization
Published in Computational intelligence and neuroscience (2021)“…In this paper, a novel swarm-based metaheuristic algorithm is proposed, which is called tuna swarm optimization (TSO). The main inspiration for TSO is based on…”
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6
Deep Learning Model for the Automatic Classification of White Blood Cells
Published in Computational intelligence and neuroscience (12-01-2022)“…Blood cell count is highly useful in identifying the occurrence of a particular disease or ailment. To successfully measure the blood cell count, sophisticated…”
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7
Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning
Published in Computational Intelligence and Neuroscience (01-01-2017)“…Automatic and accurate estimation of disease severity is essential for food security, disease management, and yield loss prediction. Deep learning, the latest…”
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Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques
Published in Computational intelligence and neuroscience (15-04-2022)“…In this modern world, we are accustomed to a constant stream of data. Major social media sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of…”
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A New Steel Defect Detection Algorithm Based on Deep Learning
Published in Computational intelligence and neuroscience (2021)“…In recent years, more and more scholars devoted themselves to the research of the target detection algorithm due to the continuous development of deep…”
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10
Social Network Search for Solving Engineering Optimization Problems
Published in Computational intelligence and neuroscience (2021)“…In this paper, a new metaheuristic optimization algorithm, called social network search (SNS), is employed for solving mixed continuous/discrete engineering…”
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11
EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review
Published in Computational intelligence and neuroscience (17-06-2022)“…Epileptic seizure is one of the most chronic neurological diseases that instantaneously disrupts the lifestyle of affected individuals. Toward developing novel…”
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Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress
Published in Computational intelligence and neuroscience (16-07-2022)“…Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which is exponentially gaining researchers’ attention with every…”
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13
Student Engagement Predictions in an e-Learning System and Their Impact on Student Course Assessment Scores
Published in Computational intelligence and neuroscience (01-01-2018)“…Several challenges are associated with e-learning systems, the most significant of which is the lack of student motivation in various course activities and for…”
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14
EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities
Published in Computational intelligence and neuroscience (2020)“…Emotions are fundamental for human beings and play an important role in human cognition. Emotion is commonly associated with logical decision making,…”
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15
A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm
Published in Computational intelligence and neuroscience (01-01-2019)“…The whale optimization algorithm (WOA) is a nature-inspired metaheuristic optimization algorithm, which was proposed by Mirjalili and Lewis in 2016. This…”
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16
Edge AI-Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning
Published in Computational intelligence and neuroscience (2021)“…Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate changes, low quality of construction material, large flow of…”
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17
Study Partners Recommendation for xMOOCs Learners
Published in Computational Intelligence and Neuroscience (01-01-2015)“…Massive open online courses (MOOCs) provide an opportunity for people to access free courses offered by top universities in the world and therefore attracted…”
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18
Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm
Published in Computational Intelligence and Neuroscience (01-01-2015)“…Artificial fish swarm algorithm (AFSA) is a population based optimization technique inspired by social behavior of fishes. In past several years, AFSA has been…”
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An Improved Grey Wolf Optimization Algorithm with Variable Weights
Published in Computational intelligence and neuroscience (01-01-2019)“…With a hypothesis that the social hierarchy of the grey wolves would be also followed in their searching positions, an improved grey wolf optimization (GWO)…”
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Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms
Published in Computational intelligence and neuroscience (28-02-2022)“…Autism spectrum disorder (ASD) is a type of mental illness that can be detected by using social media data and biomedical images. Autism spectrum disorder…”
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