Unified optimization of intelligent home appliances with a cost-effective energy management system by Vikas Deep Juyal, Sandeep Kakran

“…By embracing the proposed methodology, the electricity cost can be curtailed to the bare  minimum while concurrently reducing the peak demand, harnessing the maximum potential of renewable energy sources, and optimizing the peak-to-average ratio. Multiple scenarios have been enacted, encompassing various applicable tariff structures, methodologies, and the integration of renewable energy sources. …”
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SecuNet 4D a comprehensive framework for distributed SDN security and resilience by Sumit Badotra, Mohan Gurusamy

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Predictive dynamic multi-flow routing (PD-MFR) algorithm towards sixth generation (6G) software-defined networks by Buse Pehlivan, Volkan Rodoplu, Engincan Tunçay, Dilara Eraslan

“…Second, we develop our Predictive Dynamic Multi-Flow Routing (PD-MFR) algorithm for QoS flows based on this optimization model. In PD-MFR, first, the network forms predictions of the aggregate eMBB traffic flow generation rates and makes reservations for the flows on the upcoming routing window. …”
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Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm by Yuanhang Qi, Haoran Jiang, Gewen Huang, Liang Yang, Fujie Wang, Yunjian Xu

“…In Experiment 2, when compared with four other algorithms, IBFLPSO outperforms them in both the optimal and average solutions. Specifically, the optimal solution of IBFLPSO is 54.64%, 49.45%, 25.78%, and 22.92% better than those of the traditional PSO algorithm, PSO-2OPT algorithm, GA, and BFLPSO, respectively.…”
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Transcriptome profiling and co-expression network analysis of 96 Haematococcus pluvialis samples by Bin Hu, Kai Liu, Feichao Du, Hailiang Xing, Xiaoyuan Su, Tao Hu, Feng Chen, Yujie Qin, Zhaozhen Dong, Xue Sun, Liuquan Zhang, Jagroop Pandhal, Nianjun Xu, Chaoyang Hu

“…Gene expression was quantified as transcripts per million (TPM), and genes with similar expression patterns were clustered. A co-expression network, constructed with a soft threshold of β = 7 (R² > 0.9), identified 39 co-expression modules, each averaging 732 genes. …”
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Deep Reinforcement Learning Object Tracking Based on Actor-Double Critic Network by Jing Xin, Jianglei Zhou, Xinhong Hei, Pengyu Yue, Jia Zhao

“…Then, the designed double critic network is used to evaluate the action value, and the output double Q value is averaged to guide the actor network to optimize the tracking strategy. …”
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Multi-Objective Optimization of Distributed Generation Placement in Electric Bus Transit Systems Integrated with Flash Charging Station Using Enhanced Multi-Objective Grey Wolf Opt... by Yuttana Kongjeen, Pongsuk Pilalum, Saksit Deeum, Kittiwong Suthamno, Thongchai Klayklueng, Supapradit Marsong, Ritthichai Ratchapan, Krittidet Buayai, Kaan Kerdchuen, Wutthichai Sa-nga-ngam, Krischonme Bhumkittipich

“…This study presents a comprehensive multi-objective optimization framework for optimal placement and sizing of distributed generation (DG) units in electric bus (E-bus) transit systems integrated with a high-power flash charging infrastructure. …”
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Bio-inspired clustering scheme for Internet of Drones application in industrial wireless sensor network by Farooq Aftab, Ali Khan, Zhongshan Zhang

“…The results indicate that the proposed scheme has improved 60% and 38% with respect to ant colony optimization and grey wolf optimization, respectively, in terms of average cluster building time while average energy consumption has improved 23% and 33% when compared to the ant colony optimization and grey wolf optimization, respectively.…”
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Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems by Nyange Augustine Mbufua, Pascalin Tiam Kapen, François Ngapgue, Armand Nzeukou Takougang

“…However, it requires a careful and optimized selection of the installation site to fully harness the available energy resources. …”
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A Model for Predicting IoT User Behavior Based on Bayesian Learning and Neural Networks by Xin Xu, Chengning Huang, Yuquan Zhu

“…Finally, the data are utilized to train the behavioral prediction model of the short-duration memory network via Bayesian optimization. The experimental results showed that the average running time of the research model was 1.682 s, the average accuracy was 96.77%, the average root-mean-square error was 0.382, and the average absolute error was 0.315. …”
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Optimized Dual-Battery System with Intelligent Auto-Switching for Reliable Soil Nutrient Monitoring in Remote IoT Applications by Doan Perdana, Pascal Lorenz, Bagus Aditya

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Cost-efficient dynamic quota-controlled routing in multi-community delay-tolerant networks by Jiagao Wu, Yue Ma, Linfeng Liu

“…How to improve the routing efficiency in multi-community scenarios has become one of the research hot spots in delay-tolerant networks. In this article, we present a network model of the multi-community delay-tolerant networks and formulate a dynamic quota-controlled routing problem of minimizing the average number of copies of a message that satisfies the required delivery probability under the given time-to-live of the message as a nonlinear optimization problem. …”
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Prediction of Carbonate Reservoir Porosity Based on CNN-BiLSTM-Transformer by Yingqiang Qi, Shuiliang Luo, Song Tang, Jifu Ruan, Da Gao, Qianqian Liu, Sheng Li

“…The model extracts curve features through the CNN layer, captures both short- and long-term neighborhood information via the BiLSTM layer, and utilizes the Transformer layer with a self-attention mechanism to focus on temporal information and input features, effectively capturing global dependencies. The Adam optimization algorithm is employed to update the network’s weights, and hyperparameters are adjusted based on feedback from network accuracy to achieve precise porosity prediction in highly heterogeneous carbonate reservoirs. …”
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Speed Grade Evaluation of Public-Transportation Lines Based on an Improved T-S Fuzzy Neural Network by Shunfeng Zhang, Peiqing Li, Biqiang Zhong, Jin Wu

“…The six-dimensional data of morning peak/evening peak average speed, average speed at peak, average station distance, proportion of dedicated lanes, and nonlinear coefficients were selected as input data for the neural network to output the operating speed grade of bus lines. …”
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Long Short-Term Memory Networks for the Automated Identification of the Stationary Phase in Tribological Experiments by Yuxiao Zhao, Leyu Lin, Alois K. Schlarb

“…The process of fine-tuning key hyperparameters was systematically optimized through Bayesian optimization, coupled with K-fold cross-validation to minimize the inherent randomness associated with training neural networks. …”
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Cooperative Passenger Inflow Control in Urban Mass Transit Network with Constraint on Capacity of Station by Jianyuan Guo, Limin Jia, Yong Qin, Huijuan Zhou

“…Particle swarm optimization for constrained optimization problem is used to find the optimal solution. …”
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Dynamic interference coordination scheme based on the iterative joint transmission in ultra dense network by Xiaona LI, Zhongfang WANG, Qian CHENG, Jingwen FU, Shunliang ZHANG

“…In consideration of the rapidly increasing number of cells and users in the ultra-dense network,how to realize dynamic interference coordination by selecting the appropriate joint transmission users was studied,so as to improve the spectral efficiency of the edge users.All users were classified by dynamic coordination cluster division and dynamic joint-muting transmission.The iterative optimization algorithm was used to further improve the system performance and solve the problem of selecting the number of joint transmission users.The simulation results prove that compared with the conventional CoMP JT scheme,the proposed scheme has significant performance gains in the cell edge spectral efficiency without reducing the cell average spectral efficiency.…”
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An Enhanced Forwarding Method based on Intelligent Water Drops Algorithm in Named Data Network by HamidReza Afzal, Behrang Barekatain, Zahra Beheshti

“…According to the recent limited researches, using service quality parameters beside an optimization algorithm like ant colony to find the optimal path has been an appropriate response to solve this problem. …”
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Energy Efficiency Maximization for Device-to-Device Communication Underlaying Cellular Networks on Multiple Bands by Yuan Zhang, Yang Yang, Linglong Dai

“…However, most of existing works only optimize the EE in the single-cell scenario, while little attention is paid to maximizing the EE of the whole cellular network underlaid with D2D communication with randomly distributed users on multiple bands. …”
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Harmony Search Algorithm with Two Problem-Specific Operators for Solving Nonogram Puzzle by Geonhee Lee, Zong Woo Geem

“…The authors think that the nonogram puzzle can be a good benchmark problem for quantum computing-based optimization in the future, and the proposed HS algorithm can also be combined with quantum computing mechanisms.…”
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