Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction by Arulmozhi P, Gopi R

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VNE-AFS:virtual network embedding based on artificial fish swarm by Qiang ZHU, Hui-qiang WANG, Hong-wu LV, Zhen-dong WANG

“…Recently virtual network embedding problem had been proposed as a research challenge in the cloud computing environment.In order to reduce the costs,a virtual network embedding algorithms based on artificial fish swarm(VNE-AFS)was proposed.A binary combinatorial optimization model was built according to the constraints on nodes and links between virtual network and substrate network,and the artificial fish swarm algorithm was used to achieve the approximate optimal mapping.The simulation results indicate that the costs of substrate network and computation time are reduced and the success rate,average revenue of embedding and average usage of links are increased compared with the existing virtual network embedding algorithms.…”
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Multi-criteria pressure sensors placement in water distribution networks using fuzzy TOPSIS by Mohammad Mehdi Riyahi, Carlo Giudicianni, Amin E. Bakhshipour, Ali Haghighi, Enrico Creaco

“…Abstract Pressure data collection is essential to increase insight into the current condition of water distribution networks (WDNs). To this end, several methods have been proposed over the last decades for measurement site design (MSD). …”
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A dynamic resilience management framework for deep-tier supply networks by Elham Taghizadeh, Saravanan Venkatachalam, Ratna Babu Chinnam

“…We propose a framework to manage the resilience of deep-tier automotive supply networks by integrating a simulation-based resilience assessment scheme for effectiveness with an efficient optimization-based framework to find optimal strategies for handling regular disruption events. …”
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Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance by Vipan Kusla, Gurbinder Singh Brar, Harpreet Kaur, Ramandeep Sandhu, Chander Prabha, Md. Mehedi Hassan, Shahab Abdulla, Md Rittique Alam, Samah Alshathri, Walid El-Shafai

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TransUNet Image 3D Reconstruction with Hyperparameter Optimization by Xiaofang Wang, Zhihao Luo, Mingrui Gou, Kerui Mao, Liang Zhou

“…The method employs Restricted Boltzmann Machine (RBM) for depth prediction and an optimized ant colony algorithm for network parameter optimization. …”
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A joint optimization of energy harvesting and spectrum sensing for wireless sensor networks under Middleton Class A noise by Enwei Xu, Shuo Shi, Dawei Chen, Xuemai Gu

“…Second, a new time-slots structure is proposed for the self-powered second user and the analytical expression of the second user’s average throughput is derived. Finally, we maximize the second user’s average throughput by a joint optimization of the sensing duration and data transmission duration while giving the primary user sufficient protection. …”
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Energy-efficient cluster head selection in Internet of Things networks using an optimized evaporation rate water-cycle algorithm by Cong Lv, Guiling Long

“…Abstract This paper presents a new scheme for energy-efficient clustering in Internet of Things (IoT) networks by employing an optimized evolutionary rate water cycle algorithm (OERWCA), aiming to address crucial issues, such as energy conservation measured through average energy consumption per node, network longevity quantified by total operational rounds until node depletion, and throughput as an indicator of data transmission efficiency. …”
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Enhancing Short-Term Prediction of BDS-3 Satellite Clock Bias Based with BSO Optimized BP Neural Network by Shaoshuai Ya, Xingwang Zhao, Chao Liu, Jian Chen, Chunyang Liu, Haojie Hu

“…The proposed model takes advantage of group learning strategy to optimize the initialization parameters of the BP neural network and obtains globally optimized parameters. …”
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AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network by Sunil Ankeshwarapu

“…This study proposes the Adaptive Fuzzy Campus Placement-based Optimization Algorithm (AFCPOA) for optimal dispatch of Renewable Distributed Generators (RDGs) — Solar PV, Wind, and Hybrid (PV+Wind) in a Radial Distribution Network (RDN) considering dynamic hourly and seasonal load variations. …”
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Auction based bandwidth allocation mechanism for P2P content distribution networks by Yun-he ZHANG, Yan-qin ZHU, Qi-jin JI

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Optimal design of neural network-based fuzzy predictive control model for recommending educational resources in the context of information technology by Liu Tingting, Liu Qiyuan, Wang Xiaobei, Yang Yang

“…The relevant outcomes showcase that the predictive performance and recommendation effect of the model can be further enhanced by improving the structure of the neural network and the parameter optimisation method. Meanwhile, the proposed model has high performance in information overload and personalised demand, which offers a useful reference for the optimal design of educational resource recommendation system.…”
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Design and Optimization of Hybrid CNN-DT Model-Based Network Intrusion Detection Algorithm Using Deep Reinforcement Learning by Lu Qiu, Zhiping Xu, Lixiong Lin, Jiachun Zheng, Jiahui Su

“…Moreover, the study proposes a novel adaptive hybrid pooling mechanism that integrates maximal pooling, average pooling, and global maximal pooling. The hyperparameters of the CNN network are also optimized by actor–critic (AC) deep reinforcement learning algorithm (DRL). …”
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Energy-aware cluster head optimization and secure blockchain integration for heterogeneous 6G-enabled IoMT networks by R. Yuvarani, R. Mahaveerakannan, Tamilvizhi Thanarajan, L. Kartheesan

“…These results highlight the effectiveness of combining ADCGRO-based optimization with blockchain to enhance performance and security in 6G wireless networks.…”
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Robust Enhanced Auto-Tuning of PID Controllers for Optimal Quality Control of Cement Raw Mix via Neural Networks by Dimitris Tsamatsoulis

“…We employed the Levenberg–Marquardt method to optimize the ANNs’ synaptic weights and applied the weight decay method to prevent overfitting. …”
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Designing an Urban Air Mobility Corridor Network: A Multi-Objective Optimization Approach Using U-NSGA-III by Zhiyuan Zhang, Yuan Zheng, Chenglong Li, Bo Jiang, Yichao Li

“…In practice, firstly, we define the travel time-saving rate, average population density, and total length of corridors as optimization objectives. …”
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Optimization of Tank Cleaning Station Locations and Task Assignments in Inland Waterway Networks: A Multi-Period MIP Approach by Yanmeng Tao, Ying Yang, Haoran Li, Shuaian Wang

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Multi-objective optimization framework for electric vehicle charging and discharging scheduling in distribution networks using the red deer algorithm by Sahbi Boubaker, Habib Kraiem, Nejib Ghazouani, Souad Kamel, Adel Mellit, Faisal S. Alsubaei, Farid Bourennani, Walid Meskine, Tariq Alqubaysi

“…Abstract This article addresses the optimization of the challenging electric vehicles (EVs) charging and discharging schedules in distribution networks, focusing on the needs of EV aggregators and household EV users. …”
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Dynamic sink movement strategy for expedited query processing in Internet of things-based sensor networks by Dongliang Xu

“…DSQPS first calculates the optimum number of rendezvous points on the network by solving a minimal set covering problem, followed by Aquila Optimizer (AO), which optimizes the number of mobile sinks. …”
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Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter by Amar Rezoug, Jamshed Iqbal, Abdelkrim Nemra

“…This research introduces a novel dual Fast Grey Wolf Optimizer (FGWO) combined with Radial Basis Function Neural Networks (RBFNN) for a Fractional-Order PID (FOPID) controller applied to a helicopter simulator. …”
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