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Lung cancer medical images classification using hybrid CNN-SVM
منشور في 2021"…In recent years, Convolutional Neural Networks (CNNs) have achieved excellent performance in many computer visions tasks. In this study, the performance of this algorithm is evaluated, and the results indicated that our proposed CNN-SVM algorithm has been succeed in classifying lung images with 97.91% accuracy. …"
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22
Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
منشور في 2017احصل على النص الكامل
doctoralThesis -
23
PAST-AI: Physical-Layer Authentication of Satellite Transmitters via Deep Learning
منشور في 2022"…<p dir="ltr">Physical-layer security is regaining traction in the research community, due to the performance boost introduced by deep learning classification algorithms. This is particularly true for sender authentication in wireless communications via radio fingerprinting. …"
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24
FPGA-based Parallel Hardware Architecture for Real-time Object Classification
منشور في 2014احصل على النص الكامل
doctoralThesis -
25
Benchmarking Concept Drift Detectors for Online Machine Learning
منشور في 2022"…The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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26
An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization
منشور في 2022"…The main idea behind the use of the PSO algorithm is to remove irrelevant features and extract only the most significant ones from raw data in order to improve the classification task using a neural networks classifier. …"
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27
Benchmark on a large cohort for sleep-wake classification with machine learning techniques
منشور في 2019"…We propose the adoption of this publicly available large dataset, which is at least one order of magnitude larger than any other dataset, to systematically compare existing methods for the detection of sleep-wake stages, thus fostering the creation of new algorithms. …"
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28
Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle
منشور في 2017احصل على النص الكامل
doctoralThesis -
29
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30
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31
An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation
منشور في 2019"…The concept of crowdsensing implies the reliance on the crowd to perform sensing tasks and collect data about a phenomena of interest. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
32
MSLP: mRNA subcellular localization predictor based on machine learning techniques
منشور في 2023"…We propose a novel combination of four types of features representing k-mer, pseudo k-tuple nucleotide composition (PseKNC), physicochemical properties of nucleotides, and 3D representation of sequences based on Z-curve transformation to feed into machine learning algorithm to predict the subcellular localization of mRNAs.…"
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33
Applications of artificial intelligence in ultrasound imaging for carpal-tunnel syndrome diagnosis: a scoping review
منشور في 2025"…<h3>Purpose</h3><p dir="ltr">The purpose of this scoping review is to analyze the application of artificial intelligence (AI) in ultrasound (US) imaging for diagnosing carpal tunnel syndrome (CTS), with an aim to explore the potential of AI in enhancing diagnostic accuracy, efficiency, and patient outcomes by automating tasks, providing objective measurements, and facilitating earlier detection of CTS.…"
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34
A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering
منشور في 2023"…To this purpose, we first used multilabel algorithms in order to convert the task of explaining a large assemblage of plant communities into a classification framework able to capture with high cross-validated accuracy the pattern of species distributions under a composite set of biotic and abiotic factors. …"
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35
Large-scale annotation dataset for fetal head biometry in ultrasound images
منشور في 2023"…This broad range of formats ensures adaptability for various computer vision tasks, such as classification, segmentation, and object detection. …"