يعرض 21 - 40 نتائج من 202 نتيجة بحث عن '(( complement low algorithm ) OR ((( element method algorithm ) OR ( neural modeling algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
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    Hybrid Deep Learning-based Models for Crop Yield Prediction حسب Alexandros Oikonomidis (12050497)

    منشور في 2022
    "…The algorithms evaluated in our study are the XGBoost machine learning (ML) algorithm, Convolutional Neural Networks (CNN)-Deep Neural Networks (DNN), CNN-XGBoost, CNN-Recurrent Neural Networks (RNN), and CNN-Long Short Term Memory (LSTM). …"
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    Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach حسب Arshad Ali Khan (23152516)

    منشور في 2025
    "…This paper proposes a new approach using convolutional neural networks with genetic algorithms for estimating air quality directly from images. …"
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    A machine learning model for early detection of diabetic foot using thermogram images حسب Amith Khandakar (14151981)

    منشور في 2021
    "…A comparison of the inference time for the best-performing networks confirmed that the proposed algorithm can be deployed as a smartphone application to allow the user to monitor the progression of the DFU in a home setting.…"
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    Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study حسب Alkhodari, Mohanad Ahmed

    منشور في 2021
    "…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …"
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    article
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    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

    منشور في 2023
    "…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"
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    Design of adaptive arrays based on element position perturbations حسب Dawoud, M.M.

    منشور في 1993
    "…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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    article
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    Prediction of EV Charging Behavior Using Machine Learning حسب Shahriar, Sakib

    منشور في 2021
    "…Therefore, in this paper we propose the usage of historical charging data in conjunction with weather, traffic, and events data to predict EV session duration and energy consumption using popular machine learning algorithms including random forest, SVM, XGBoost and deep neural networks. …"
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    article
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    Cross entropy error function in neural networks حسب Nasr, G.E.

    منشور في 2002
    "…This paper applies artificial neural networks to forecast gasoline consumption. …"
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    conferenceObject
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    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network حسب Fares Almomani (12585685)

    منشور في 2020
    "…<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO<sub>3</sub> on the performance of anaerobic digestion (AD) process. An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …"
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