Artificial Intelligence and Machine Learning Based Methods and Applications
The chapters of this reprint cover a wide range of topics related to the theoretical aspects of artificial intelligence (AI) and machine learning (ML), as well as their practical applications. The theoretical aspects presented in this reprint are related to model compression, interpretable AI, effec...
محفوظ في:
| التنسيق: | Online |
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| اللغة: | الإنجليزية |
| منشور في: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20240704_9783725810673_129 |
| الوسوم: |
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| _version_ | 1869524906065002496 |
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| collection | Directory of Open Access Books |
| description | The chapters of this reprint cover a wide range of topics related to the theoretical aspects of artificial intelligence (AI) and machine learning (ML), as well as their practical applications. The theoretical aspects presented in this reprint are related to model compression, interpretable AI, effective augmentation strategies, time series analysis, etc., but most of the works are applicative and multidisciplinary. The applications include but are not limited to, medical image processing, natural language processing, time series analysis, diffusion model-based music generation, autoencoder applications, and adversarial learning, to name a few. By compiling such a diverse set of articles, the reprint aims to serve as a resource for researchers and AI enthusiasts and to offer them insights into the latest advancements and diverse applications of AI and ML. This reprint includes 26 articles accepted and published in the Special Issue “Artificial Intelligence and Machine Learning Based Methods and Applications, 2023” of the MDPI “Mathematics” journal. |
| format | Online |
| id | doab-20.500.12854ir-139333 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1393332024-07-04T09:43:16Z Artificial Intelligence and Machine Learning Based Methods and Applications Darabant, Adrian Sergiu Borza, Diana-Laura supervised classification meta-learning associative classification finances remaining useful life (RUL) prediction broad learning system (BLS) long short-term memory (LSTM) feature extraction speech emotion recognition child speech younger school age online learning support vector machine minimum enclosing ball research gap natural language processing co-occurrence matrix double-thresholding method resistance value M5P Gaussian process regression expansive soil subgrade speaker embeddings x-vectors deep representations deep embeddings speaker disentanglement speaker recognition residual information neural architectures deep learning artificial intelligence VANET rider optimization algorithm cuckoo search whale optimization algorithm dragonfly DDoS attack explainable artificial intelligence interpretable deep learning convolutional networks vision transformers COVID-19 ultrasound image online knowledge distillation ensemble learning attention aggregation mixture models parameter estimation clustering unsupervised image segmentation Deep Q-Network Deep Recurrent Q-Network Dark Souls III video games visual-based reinforcement learning neural networks polynomial fuzzy information granule fuzzy inference system time series prediction authorship attribution artificial neural networks multi-expression programming k-nearest neighbour support vector machines decision trees breast density classification mammography craniocaudal (CC) view mediolateral oblique (MLO) view BI-RADS convolutional neural network (CNN) loss function recurrent neural network (RNN) teacher forcing prediction performance analysis benchmarking machine learning Tennessee Eastman process time series melody generation conditional generation diffusion model transformer network data federated learning unlabeled data heterogeneous data greenhouse temperature relative humidity optimal sensor locations multi-channel regression dense neural network adversarial domain adaption cross-domain sentiment analysis global-local dynamic adversarial learning pre-classification BIRCH Autoencoder anomaly detection text-based item difficulty prediction text features and item wording regularization methods elastic net regression regression and decision trees random forests algorithm vs. domain expert’s prediction performance large language models recommendation systems human-readable explanations rating prediction task explanation generation task prompt engineering predictive prompt hand gesture recognition image augmentation geometric transformation ResNet MobileNet inception static datasets Centella Asiatica linn urban ensemble deep learning image segmentation image enhancement medicinal plants traditional medicine pharmaceuticals code similarity linter analysis comments analysis software plagiarism plagiarism detection universal sentence encoder thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics The chapters of this reprint cover a wide range of topics related to the theoretical aspects of artificial intelligence (AI) and machine learning (ML), as well as their practical applications. The theoretical aspects presented in this reprint are related to model compression, interpretable AI, effective augmentation strategies, time series analysis, etc., but most of the works are applicative and multidisciplinary. The applications include but are not limited to, medical image processing, natural language processing, time series analysis, diffusion model-based music generation, autoencoder applications, and adversarial learning, to name a few. By compiling such a diverse set of articles, the reprint aims to serve as a resource for researchers and AI enthusiasts and to offer them insights into the latest advancements and diverse applications of AI and ML. This reprint includes 26 articles accepted and published in the Special Issue “Artificial Intelligence and Machine Learning Based Methods and Applications, 2023” of the MDPI “Mathematics” journal. 2024-07-04T09:43:14Z 2024-07-04T09:43:14Z 2024 book ONIX_20240704_9783725810673_129 9783725810673 9783725810680 https://directory.doabooks.org/handle/20.500.12854/139333 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9330 https://mdpi.com/books/pdfview/book/9330 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1068-0 10.3390/books978-3-7258-1068-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725810673 9783725810680 526 open access |
| spellingShingle | supervised classification meta-learning associative classification finances remaining useful life (RUL) prediction broad learning system (BLS) long short-term memory (LSTM) feature extraction speech emotion recognition child speech younger school age online learning support vector machine minimum enclosing ball research gap natural language processing co-occurrence matrix double-thresholding method resistance value M5P Gaussian process regression expansive soil subgrade speaker embeddings x-vectors deep representations deep embeddings speaker disentanglement speaker recognition residual information neural architectures deep learning artificial intelligence VANET rider optimization algorithm cuckoo search whale optimization algorithm dragonfly DDoS attack explainable artificial intelligence interpretable deep learning convolutional networks vision transformers COVID-19 ultrasound image online knowledge distillation ensemble learning attention aggregation mixture models parameter estimation clustering unsupervised image segmentation Deep Q-Network Deep Recurrent Q-Network Dark Souls III video games visual-based reinforcement learning neural networks polynomial fuzzy information granule fuzzy inference system time series prediction authorship attribution artificial neural networks multi-expression programming k-nearest neighbour support vector machines decision trees breast density classification mammography craniocaudal (CC) view mediolateral oblique (MLO) view BI-RADS convolutional neural network (CNN) loss function recurrent neural network (RNN) teacher forcing prediction performance analysis benchmarking machine learning Tennessee Eastman process time series melody generation conditional generation diffusion model transformer network data federated learning unlabeled data heterogeneous data greenhouse temperature relative humidity optimal sensor locations multi-channel regression dense neural network adversarial domain adaption cross-domain sentiment analysis global-local dynamic adversarial learning pre-classification BIRCH Autoencoder anomaly detection text-based item difficulty prediction text features and item wording regularization methods elastic net regression regression and decision trees random forests algorithm vs. domain expert’s prediction performance large language models recommendation systems human-readable explanations rating prediction task explanation generation task prompt engineering predictive prompt hand gesture recognition image augmentation geometric transformation ResNet MobileNet inception static datasets Centella Asiatica linn urban ensemble deep learning image segmentation image enhancement medicinal plants traditional medicine pharmaceuticals code similarity linter analysis comments analysis software plagiarism plagiarism detection universal sentence encoder thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Artificial Intelligence and Machine Learning Based Methods and Applications |
| title | Artificial Intelligence and Machine Learning Based Methods and Applications |
| title_full | Artificial Intelligence and Machine Learning Based Methods and Applications |
| title_fullStr | Artificial Intelligence and Machine Learning Based Methods and Applications |
| title_full_unstemmed | Artificial Intelligence and Machine Learning Based Methods and Applications |
| title_short | Artificial Intelligence and Machine Learning Based Methods and Applications |
| title_sort | artificial intelligence and machine learning based methods and applications |
| topic | supervised classification meta-learning associative classification finances remaining useful life (RUL) prediction broad learning system (BLS) long short-term memory (LSTM) feature extraction speech emotion recognition child speech younger school age online learning support vector machine minimum enclosing ball research gap natural language processing co-occurrence matrix double-thresholding method resistance value M5P Gaussian process regression expansive soil subgrade speaker embeddings x-vectors deep representations deep embeddings speaker disentanglement speaker recognition residual information neural architectures deep learning artificial intelligence VANET rider optimization algorithm cuckoo search whale optimization algorithm dragonfly DDoS attack explainable artificial intelligence interpretable deep learning convolutional networks vision transformers COVID-19 ultrasound image online knowledge distillation ensemble learning attention aggregation mixture models parameter estimation clustering unsupervised image segmentation Deep Q-Network Deep Recurrent Q-Network Dark Souls III video games visual-based reinforcement learning neural networks polynomial fuzzy information granule fuzzy inference system time series prediction authorship attribution artificial neural networks multi-expression programming k-nearest neighbour support vector machines decision trees breast density classification mammography craniocaudal (CC) view mediolateral oblique (MLO) view BI-RADS convolutional neural network (CNN) loss function recurrent neural network (RNN) teacher forcing prediction performance analysis benchmarking machine learning Tennessee Eastman process time series melody generation conditional generation diffusion model transformer network data federated learning unlabeled data heterogeneous data greenhouse temperature relative humidity optimal sensor locations multi-channel regression dense neural network adversarial domain adaption cross-domain sentiment analysis global-local dynamic adversarial learning pre-classification BIRCH Autoencoder anomaly detection text-based item difficulty prediction text features and item wording regularization methods elastic net regression regression and decision trees random forests algorithm vs. domain expert’s prediction performance large language models recommendation systems human-readable explanations rating prediction task explanation generation task prompt engineering predictive prompt hand gesture recognition image augmentation geometric transformation ResNet MobileNet inception static datasets Centella Asiatica linn urban ensemble deep learning image segmentation image enhancement medicinal plants traditional medicine pharmaceuticals code similarity linter analysis comments analysis software plagiarism plagiarism detection universal sentence encoder thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| topic_facet | supervised classification meta-learning associative classification finances remaining useful life (RUL) prediction broad learning system (BLS) long short-term memory (LSTM) feature extraction speech emotion recognition child speech younger school age online learning support vector machine minimum enclosing ball research gap natural language processing co-occurrence matrix double-thresholding method resistance value M5P Gaussian process regression expansive soil subgrade speaker embeddings x-vectors deep representations deep embeddings speaker disentanglement speaker recognition residual information neural architectures deep learning artificial intelligence VANET rider optimization algorithm cuckoo search whale optimization algorithm dragonfly DDoS attack explainable artificial intelligence interpretable deep learning convolutional networks vision transformers COVID-19 ultrasound image online knowledge distillation ensemble learning attention aggregation mixture models parameter estimation clustering unsupervised image segmentation Deep Q-Network Deep Recurrent Q-Network Dark Souls III video games visual-based reinforcement learning neural networks polynomial fuzzy information granule fuzzy inference system time series prediction authorship attribution artificial neural networks multi-expression programming k-nearest neighbour support vector machines decision trees breast density classification mammography craniocaudal (CC) view mediolateral oblique (MLO) view BI-RADS convolutional neural network (CNN) loss function recurrent neural network (RNN) teacher forcing prediction performance analysis benchmarking machine learning Tennessee Eastman process time series melody generation conditional generation diffusion model transformer network data federated learning unlabeled data heterogeneous data greenhouse temperature relative humidity optimal sensor locations multi-channel regression dense neural network adversarial domain adaption cross-domain sentiment analysis global-local dynamic adversarial learning pre-classification BIRCH Autoencoder anomaly detection text-based item difficulty prediction text features and item wording regularization methods elastic net regression regression and decision trees random forests algorithm vs. domain expert’s prediction performance large language models recommendation systems human-readable explanations rating prediction task explanation generation task prompt engineering predictive prompt hand gesture recognition image augmentation geometric transformation ResNet MobileNet inception static datasets Centella Asiatica linn urban ensemble deep learning image segmentation image enhancement medicinal plants traditional medicine pharmaceuticals code similarity linter analysis comments analysis software plagiarism plagiarism detection universal sentence encoder thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| url | ONIX_20240704_9783725810673_129 |