Výsledky vyhledávání - intelligence algorithm optimized bayesian network

Approximate inference on optimized quantum Bayesian networks Autor Fathallah, Walid, Amor, Nahla Ben, Leray, Philippe

“… optimized circuits with quantum hybrid algorithms for Bayesian network inference. Our aim is to minimize the required quantum resource needed to implement a Quantum Bayesian network…”
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Hybrid Feature-Based Disease Detection in Plant Leaf Using Convolutional Neural Network, Bayesian Optimized SVM, and Random Forest Classifier Autor Singh, Ashutosh Kumar, Sreenivasu, SVN, Mahalaxmi, U.S.B. K., Sharma, Himanshu, Patil, Dinesh D., Asenso, Evans

“… In this study, we use artificial intelligence and computer vision techniques to achieve the goal of designing and developing an intelligent classification mechanism for leaf diseases…”
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Optimized Bayesian convolutional neural networks for invasive breast cancer diagnosis system Autor Ezzat, Dalia, Hassanien, Aboul Ella

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Optimized Bayesian tensorized neural network affording task failure prediction in cloud environment Autor Avinashi Malleswaran, Senthil Kumar, Marimuthu, Kalimuthu, Robert, Paulpandi, Kuppan, Padmanaban

“… To overcome these limitations, this manuscript proposes an Optimized Bayesian Tensorized Neural Network Affording Task Failure Prediction in Cloud Environment (TFP-BTNN-BBHO…”
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Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction Autor Khurshid, Muhammad Rizwan, Manzoor, Sadaf, Sadiq, Touseef, Hussain, Lal, Khan, Mohammed Shahbaz, Dutta, Ashit Kumar

“… Leveraging Bayesian optimization to fine-tune XGBoost, researchers can harness the power of complex data analysis to improve predictive accuracy…”
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Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data Autor Loey, Mohamed, El-Sappagh, Shaker, Mirjalili, Seyedali

“… A novel Bayesian optimization-based convolutional neural network (CNN) model is proposed for the recognition of chest X-ray images…”
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Structural condition evaluation using unsupervised Bayesian optimized BiLSTM networks Autor Zheng, Jin-Ling, Fang, Sheng-En

“…) algorithms that generally require extensive training data considering various condition scenarios…”
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Novel optimized deep learning algorithms and explainable artificial intelligence for storm surge susceptibility modeling and management in a flood-prone island Autor Alshayeb, Mohammed J., Hang, Hoang Thi, Shohan, Ahmed Ali A., Bindajam, Ahmed Ali

“… This study aims to advance the field by developing robust deep learning (DL) models for storm surge susceptibility prediction, specifically incorporation of Bayesian…”
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Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt Autor Elshaboury, Nehal, Elmousalami, Haytham

“…), extreme gradient boosting, and bagged decision tree (BDT) algorithms accurately predict wind speed across different time scales, with MAPE, MSE, EV, R, and CCC values…”
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Bayesian optimized CNN ensemble for efficient potato blight detection using fuzzy image enhancement Autor Jain, Achin, Dubey, Arun Kumar, Pan, Vincent Shin-Hung, Mahfoudh, Saoucene, Althaqafi, Turki A., Arya, Varsha, Alhalabi, Wadee, Singh, Sunil K., Jain, Vanita, Panwar, Arvind, Kumar, Sudhakar, Hsu, Ching-Hsien, Gupta, Brij B.

“… To enhance detection accuracy, we propose Bayesian Optimized CNN Weighted Ensemble Potato Blight Detection, a deep learning-based approach that optimizes CNN models through Bayesian optimization and ensemble learning…”
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An in-process tool wear assessment using Bayesian optimized machine learning algorithm Autor Babu, Mulpur Sarat, Rao, Thella Babu

“… Therefore, the present article proposed a TWM system using Bayesian optimized-support vector regression (BO-SVR) analysis…”
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Bayesian-optimized machine learning boosts actual evapotranspiration prediction in water-stressed agricultural regions of China Autor Elbeltagi, Ahmed, Srivastava, Aman, Cao, Xinchun, Gautam, Vinay Kumar, Zerouali, Bilel, Aslam, Muhammad Rizwan, Salem, Ali, Emami, Hojjat, Elsadek, Elsayed Ahmed

“… (SVM), Gaussian Process Regression (GPR), Ensemble Tree, and Neural Network, with Bayesian hyperparameter optimization for AET modeling using the high-resolution TerraClimate dataset spanning 1958–2022…”
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Optimized realization of Bayesian networks in reduced normal form using latent variable model Autor Gennaro, Giovanni Di, Buonanno, Amedeo, Palmieri, Francesco A. N.

“…Bayesian networks in their Factor Graph Reduced Normal Form are a powerful paradigm for implementing inference graphs…”
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EEG Signal Classification Using Bayesian-Optimized Neural Networks in IoMT Systems Autor Alnaily, Rana Raad Shaker

“… To address these challenges, this study proposes an EEG classification approach utilizing a Backpropagation Neural Network (BPNN…”
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DeepPhasePick: a method for detecting and picking seismic phases from local earthquakes based on highly optimized convolutional and recurrent deep neural networks Autor Soto, Hugo, Schurr, Bernd

“…, and the introduction of automatic algorithms mandatory. In this paper, we introduce DeepPhasePick, an automatic two-stage method that detects and picks P and S seismic phases from local earthquake…”
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Enhancing hydrological time series forecasting with a hybrid Bayesian-ConvLSTM model optimized by particle swarm optimization Autor Kilinc, Huseyin Cagan, Apak, Sina, Ergin, Mahmut Esad, Ozkan, Furkan, Katipoğlu, Okan Mert, Yurtsever, Adem

“…) networks, with parameters optimized through particle swarm optimization (PSO). The fusion of the convolutional Bayesian network and 1D convolutional neural networks…”
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Modeling of Bayesian-Based Optimized Transfer Learning Model for Cyber-Attack Detection in Internet of Things Assisted Resource Constrained Systems Autor Alamro, Hayam, Mansouri, Wahida, Saeedi, Kawther, Alshammeri, Menwa, Aljabri, Jawhara, Abdullah Alotaibi, Faiz, Negm, Noha, Sharif, Mahir Mohammed

“… and vulnerable embedded gadgets. Numerous devices inhabit at-home systems with user-administrators unfamiliar with network security best practices, creating simple goals for the attackers…”
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A new W-SVM kernel combining PSO-neural network transformed vector and Bayesian optimized SVM in GDP forecasting Autor Kouziokas, Georgios N.

“… from particle swarm optimized neural networks in order to satisfy the kernel conditions of Mercer’s theorem and then incorporated to a Bayesian Optimized (BO…”
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SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting Autor Kouziokas, Georgios N.

“… a transformed particle swarm optimized ANN weight vector in a Bayesian optimized SVM kernel in a time series problem for predicting the atmospheric pollutant factor Particulate Matter 10 (PM10…”
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Optimized GRU with Self-Attention for Bearing Fault Diagnosis Using Bayesian Hyperparameter Tuning Autor Liu, Zongchao, Teng, Shuai, Wang, Shaodi

“… To address these limitations, this paper proposes a novel bearing fault diagnosis (BFD) approach leveraging a Gated Recurrent Unit (GRU) network…”
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