AI-driven demand forecasting for enhanced energy management in renewable microgrids: A hybrid LSTM-CNN approach by Bashiru olalekan ariyo, mutalub adesina lambe, olalekan ogunbiyi, musa abdulwaheed, bilkisu jimada ojuolape, monsurat omolara balogun

Subjects: “…long short-term memory (lstm) networks; renewable microgrids; energy management; convolutional neural networks (cnns); forecasting accuracy…”
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Application of big data technology in visitor behavioral characteristics identification and energy efficiency assessment of intelligent scenic spots by Wei Zhou, Jin Cui

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Automated detection of craters on the lunar surface using deep learning: A review with insights from Chandrayaan-2 TMC-2 data by Mimansa Sinha, Sanchita Paul

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Financial fraud detection using a hybrid deep belief network and quantum optimization approach by Gui Yu, Zhenlin Luo

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Artificial Intelligence in Cardiovascular Diagnosis: Innovations and Impact on Disease Screenings by Amber Ahmad, Sahil Ahmad, Rida Ahmad, Jahnavi Bodi, Abdulla Mohamed, Ahmad Wasim

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Improved automatic modulation recognition using deep learning with additive attention by Noureddine El-Haryqy, Anass Kharbouche, Hamza Ouamna, Zhour Madini, Younes Zouine

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3D densely connected CNN with multi-scale receptive fields and hybrid loss for brain tumor segmentation by Fatemehzahra Adib, Maryam Amirmazlaghani, Mohammad Rahmati

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MM-3D Unet: development of a lightweight breast cancer tumor segmentation network utilizing multi-task and depthwise separable convolution by Xian Wang, Wenzhi Zeng, Junzeng Xu, Senhao Zhang, Yuexing Gu, Benhui Li, Xueyang Wang

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Deep Learning Framework Using Spatial Attention Mechanisms for Adaptable Angle Estimation Across Diverse Array Configurations by Constantinos M. Mylonakis, Pantelis Velanas, Pavlos I. Lazaridis, Panagiotis Sarigiannidis, Sotirios K. Goudos, Zaharias D. Zaharis

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Integrating advanced neural network architectures with privacy enhanced encryption for secure and intelligent healthcare analytics by C. Ramesh Babu Durai, S. Dhanasekaran, M. Jamuna Rani, Sindhu Chandra Sekharan

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From Binary to Multi-Class: Neural Networks for Structural Damage Classification in Bridge Monitoring Under Static and Dynamic Loading by Andreas Kardoulias, Alexandros Arailopoulos, Panagiotis Seventekidis

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Modern Approaches to Detect and Classify Comment Toxicity Using Neural Networks by Sergey V. Morzhov

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EEG-based epilepsy detection using CNN-SVM and DNN-SVM with feature dimensionality reduction by PCA by Yousra Berrich, Zouhair Guennoun

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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

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Deep learning and wavelet packet transform for fault diagnosis in double circuit transmission lines by Ziad M. Ali, Ehab M. Esmail

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A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution–Pooling Method by Rui Zhang, Ranran Zhou, Zuting Zhong, Haifeng Qi, Yong Wang

Subjects: “…binarized depthwise separable convolutional neural network (bDSCNN)…”
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Subdivision of river channel sand micro-scale facies with feature attention spatio-temporal network by Ruipu Zhao, Lili Zeng, Chendong Fu, Xiaoqing Zhao

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Multi-Task Learning Convolutional Neural Network and Optical Spectrums Enabled Optical Performance Monitoring by Chenglong Yu, Haoyu Wang, Changjian Ke, Zi Liang, Sheng Cui, Deming Liu

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Numerical Estimation of Bending in Holographic Volume Gratings by Means of RCWA and Deep Learning by Jaume Colomina-Martínez, Juan Carlos Bravo, Joan Josep Sirvent-Verdú, Adrián Moya-Aliaga, Jorge Francés, Cristian Neipp, Augusto Beléndez

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Artificial intelligence in acoustic ecology: Soundscape classification in the Cerrado by Bruno Daleffi da Silva, Linilson Rodrigues Padovese

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