Artificial intelligence assisted common maternal fetal planes prediction from ultrasound images based on information fusion of customized convolutional neural networks by Fatima Rauf, Muhammad Attique Khan, Hussain M. Albarakati, Kiran Jabeen, Shrooq Alsenan, Ameer Hamza, Sokea Teng, Yunyoung Nam

“…Finally, neural networks are used to classify the fused optimized features of both models, which were first combined using a new fusion technique. …”
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Hybrid quantum enhanced federated learning for cyber attack detection by G. Subramanian, M. Chinnadurai

“…The centralized approach is developed by integrating spatio-temporal attention network and also introduces a quantum inspired federated averaging optimization procedure for cyber-attack detection. …”
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Optimized integration of photovoltaic systems and distribution static compensators in distribution networks using a novel discrete-continuous version of the adaptive JAYA algorithm... by Paolo Iván Cubillo-Leyton, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña

“…This document addresses the problem regarding the optimal siting and sizing of photovoltaic generators (PVs) and distributed static compensators (D-STATCOMs) in electrical distribution networks, with annualized investment and operating costs minimization as the objective function, incorporating a 10% investment recovery rate and a 2% annual energy cost increase. …”
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Decom-UNet3+: A Retinal Vessel Segmentation Method Optimized With Decomposed Convolutions by Qun Li, Juntao Zhang, Licheng Hua, Songyin Fu, Chenjie Gu

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A dual layer secure and energy-efficient model for border surveillance using sea lion inspired strategy in wireless sensor networks by Jayachandran J, Vimaladevi K

“…Unlike other methods, this solution tends to firmly segregate legitimate from malicious nodes, thereby reinforcing the network. The simulation results for selective forwarding attacks with 10 malicious nodes in 100 iterations detected threats within 7 rounds with a packet transmission efficiency of 97.9%, while for wormhole attacks detection within 2 rounds, packet transmission efficiency of 98.3%, and average energy consumption of about 0.122J, significantly increasing the network lifetime. …”
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Optimal Operation of Electric Vehicle Supply Equipment by Aggregators in Local Energy Community by Ali Esmaeel Nezhad, Toktam Tavakkoli Sabour, R. P. Joshi, Mohammad Sadegh Javadi, Pedro H. J. Nardelli

“…The aggregator can effectively manage the optimal charging of electric vehicles (EVs) by home and public chargers available at the distribution network. …”
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A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection by Noppadol Maneerat, Athasart Narkthewan, Kazuhiko Hamamoto

“…Using the cropped lung images, we trained several pre-trained Deep Convolutional Neural Networks (DCNNs) on the images with hyperparameters optimized by a Bayesian algorithm. …”
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Comparison of the prediction effects of LSTM, SARIMA and SARIMAX models on the incidence of hand, foot, and mouth disease by ZHANG Xiaoqiao, ZHANG Xiaodie, ZHAO Zhenxi, XIE Pengliu, DAI Min

“…Objective: To compare the effects of seasonal autoregressive integrated moving average (SARIMA) , seasonal autoregressive integrated moving average with exogenous regressors (SARIMAX) and long short-term memory neural network (LSTM) models in predicting the incidence of hand, foot, and mouth disease (HFMD). …”
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State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models by Zuriani Mustaffa, Mohd Herwan Sulaiman, Jeremiah Isuwa

“…This study proposes a novel approach for SoC estimation in BMW EVs by integrating a metaheuristic algorithm with deep neural networks. Specifically, teaching-learning based optimization (TLBO) is employed to optimize the weights and biases of the deep neural networks model, enhancing estimation accuracy. …”
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Predicting the Cetane Number of Biodiesel using two AI-Models: the Gradient-based ANN and ANN Optimized by Genetic Algorithm by Hadis Tanha, Fatemeh Bashipour

“…They were the gradient-based artificial neural network (GB-ANN) and the multi-layer-perceptron ANN optimized by the genetic algorithm (GA-ANN) for the first time. …”
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Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning by Karim Maghfour Sarkarabad, Mohsen Shayanmehr, Ahad Ghaemi

“…We employed radial basis function (RBF) and multilayer perceptron (MLP) algorithms for ANN modeling. The optimal MLP configuration, utilizing the Levenberg–Marquardt (Trainlm) algorithm, consisted of three hidden layers with 20, 17, and 9 neurons, respectively, while the optimal RBF network contained 43 neurons. …”
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Multi-Objective Optimization of Pressure-Reducing Valves Operation in Extreme Water Consumption Scenarios (Case Study: Najaf Abad Urban Water Distribution Network) by Seyed Pedram Jazayeri Farsani, Ramtin Moeini

“…A simultaneous optimization model was developed to determine nodal average pressure, residual chlorine concentration, and network combined reliability. …”
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A hybrid model for short-term offshore wind power prediction combining Kepler optimization algorithm with variational mode decomposition and stochastic configuration networks by Bingbing Yu, Yonggang Wang, Jun Wang, Yuanchu Ma, Wenpeng Li, Weigang Zheng

“…To enhance the stability and accuracy of wind power forecasting, a hybrid model integrating Kepler optimization algorithm (KOA), variational mode decomposition (VMD), and stochastic configuration network (SCN) is proposed. …”
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An Automated Framework of Superpixels-Saliency Map and Gated Recurrent Unit Deep Convolutional Neural Network for Land Cover and Crops Disease Classification by Irfan Haider, Muhammad Attique Khan, Muhammad Nazir, Saleha Masood, Naoufel Kraiem, Dina Abdulaziz Alhammadi

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HP-ECD: Heuristic Prophet protocol based on energy balance,cache optimization, and asynchronous dormancy by Jingjian Chen, Pengfei Bie, Jie Nie, Zhiqiang Wei

“…In opportunistic networks, opportunistic routing protocols are used for nodes to forward messages, which are the core technology to realize various opportunistic network applications. …”
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Development, optimization and modelling of performance parameters for remote-controlled mechatronic precision planter using RSM and Hybrid PSO-ANN model by Vimalsinh Vala, Rajvir Yadav, Bikram Jyoti, Ali Salem, Ajay K Roul, Rahul Potdar, Ankur Srivastava, Ahmed Elbeltagi

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Overlapping community-based fair influence maximization under a multi-transformation optimization algorithm by Chunfeng Jiang, Zegang Niu, Jingru Qu, Yulan Zhao, Amin Rezaeipanah

“…Abstract Fair Influence Maximization (FIM) aims to ensure an equitable spread of influence across different groups in a social network while maximizing overall reach. By incorporating fairness constraints and leveraging community structures, FIM mitigates bias and enhances the effectiveness of influence propagation. …”
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Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture by M. Saranya, R. Praveena

“…This study performs the prediction and classification of brain tumours present in MRI, a combined classification and localization framework model is proposed connecting Fully Convolutional Neural Network (FCNN) and You Only Look Once version 5 (YOLOv5). …”
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Natural Gas Consumption Forecasting Model Based on Feature Optimization and Incremental Long Short-Term Memory by Huilong Wang, Xianjun Gao, Ying Zhang, Yuanwei Yang

“…Subsequently, a weakly supervised cascade network for feature selection is designed to enable the model to adaptively select features based on prior knowledge. …”
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A Transformer-Based Reinforcement Learning Framework for Sequential Strategy Optimization in Sparse Data by Zizhe Zhou, Liman Zhang, Xuran Liu, Siyang He, Jingxuan Zhang, Jinzhi Zhu, Yuanping Pang, Chunli Lv

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