K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network by Prince Modey, Gaddafi Abdul-Salaam, Emmanuel Freeman, Patrick Acheampong, William Leslie Brown-Acquaye, Israel Edem Agbehadji, Richard C. Millham

“…In Wireless Sensor Networks (WSNs), an efficient clustering technique is critical in optimizing the energy level of networked sensors and prolonging the network lifetime. …”
Get full text

Training of the feed-forward artificial neural networks using butterfly optimization algorithm by Şaban Gülcü, Büşra Irmak

“…Artificial Neural Network (ANN) learns from inputs and outputs. The values of the weights and biases in ANN are updated according to inputs and outputs. …”
Get full text

Energy Efficiency Optimization for UAV-RIS-Assisted Wireless Powered Communication Networks by Xianhao Shen, Ling Gu, Jiazhi Yang, Shuangqin Shen

“…These findings provide critical theoretical insights and practical guidelines for UAV trajectory design and communication network optimization in urban environments.…”
Get full text

Optimal algorithm based on weight balancing for designing the logical topology of the optical network by FU Ming-lei, LE Zi-chun, LU Min

“…The design of an optimal logical topology in optical networks was reported.The traffic load matrix and the delay matrix were considered together and then two novel network weights were defined.Therefore,both the congestion and average delay were optimized simultaneously.Moreover,an optimal algorithm which based on the two kinds of weight definition was proposed.In the simulation part,the NSFNET was chosen as the network model and the heuristic algorithm was compared with two other kinds of designing algorithms.Finally,the effect on network performances,which was caused by four performance parameters including the congestion,blocking probability,delay and load balanc-ing states,was discussed in numerical results part.…”
Get full text

Optimal algorithm based on weight balancing for designing the logical topology of the optical network by FU Ming-lei, LE Zi-chun, LU Min

“…The design of an optimal logical topology in optical networks was reported.The traffic load matrix and the delay matrix were considered together and then two novel network weights were defined.Therefore,both the congestion and average delay were optimized simultaneously.Moreover,an optimal algorithm which based on the two kinds of weight definition was proposed.In the simulation part,the NSFNET was chosen as the network model and the heuristic algorithm was compared with two other kinds of designing algorithms.Finally,the effect on network performances,which was caused by four performance parameters including the congestion,blocking probability,delay and load balanc-ing states,was discussed in numerical results part.…”
Get full text

Optimal Determination of the Q/A Factor for Parabolic Concentrator Solar Collector Networks by Juan-Ramón Lizárraga-Morazán, Martín Picón-Núñez

“…This work presents a study of the Q/A factor in optimised designs of solar thermal networks of the Solar Heat for Industrial Processes (SHIP) type, which utilise Parabolic Trough Collector (PTC) technology for both winter and summer seasons. …”
Get full text

An optimized stacking-based TinyML model for attack detection in IoT networks. by Anshika Sharma, Shalli Rani, Mohammad Shabaz

Get full text

An Extensible Gradient-Based Optimization Method for Parameter Identification in Power Distribution Network by Chuanjun Wang, Kehao Fei, Xinle Xu, Haoran Chen, Ke Hu, Shihe Xu, Jiayang Ma

“…Accurate parameter identification of power distribution network (PDN) has attracted remarkable attention recently. …”
Get full text

Structure Optimization in Deep Neural Networks with Synaptic Pruning Based on Connection Appraisal by Aghil Ahmadi, Reza Mahboobi Esfanjani

“…Dynamic structure optimization through pruning can reduce network redundancy, but it often results in performance degradation. …”
Get full text

-degree coverage algorithm based on optimization nodes deployment in wireless sensor networks by Zeyu Sun, Chuanfeng Li, Xiaofei Xing, Huihui Wang, Ben Yan, Xuelun Li

“…Finally, using the simulation experiment, the results of the coverage algorithm based on optimization nodes deployment are compared with other algorithms in terms of the coverage quality and the network lifetime, the performance indexes have enhanced to 13.36% and 12.92% on average. …”
Get full text

Optimized deep neural network architectures for energy consumption and PV production forecasting by Eghbal Hosseini, Barzan Saeedpour, Mohsen Banaei, Razgar Ebrahimy

“…Accurate time-series forecasting of energy consumption and photovoltaic (PV) production is essential for effective energy management and sustainability. Deep Neural Networks (DNNs) are effective tools for learning complex patterns in such data; however, optimizing their architecture remains a significant challenge. …”
Get full text

ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

Get full text

A Framework for Optimal Worker Selection in Spatial Crowdsourcing Using Bayesian Network by Nor Aniza Abdullah, Mohammad Mustaneer Rahman, Md. Mujibur Rahman, Khairil Imran Ghauth

“…We introduce the use of Bayesian Network in modelling and selecting optimal workers, and use k-medoids partitioning technique for tasks clustering and scheduling. …”
Get full text

Collaborative Optimization Decision of Distribution Network Reconfiguration and Maintenance Considering Soft Switching by WANG Jianjun, RU Wei, SHI Guangnan, SU Xiaoyun, WANG Yifei, JIANG Wei

“…The simulation results show that the average network loss of the system is reduced by 35. 57 % and the overall voltage deviation of the system is reduced by 17. 2 % after the collaborative optimization of reconfiguration and maintenance. …”
Get full text

Optimizing Connectivity and Network Management with SDN Technology on VANET Using the SSF Method by Hane Yorda Dinata, Galura Muhammad Suranegara

“…However, VANET faces challenges such as signal fluctuations, data security issues, and high mobility, which affect network reliability. This study aims to optimize connectivity and network management in VANET using the Strongest-Signal-First (SSF) method supported by Software-Defined Networking (SDN). …”
Get full text

Genetic Algorithms Applied to Optimize Neural Network Training in Reference Evapotranspiration Estimation by Eluã Ramos Coutinho, Jonni G.F. Madeira, Robson Mariano da Silva, Angel Ramon Sanchez Delgado, Alvaro L.G.A. Coutinho

“…This confirms that employing Genetic Algorithms (GA) to automate the training and optimization of the model is effective and enhances the neural network's capacity to predict ETo.…”
Get full text

Data Aggregation and Scheduling to Optimize Information Freshness In Multi-Hop IoT Networks by Xueling Wu, Long Qu, Maurice J. Khabbaz

“…Simulation results demonstrate that the proposed CGA consistently outperforms EASA, the Genetic Algorithm (GA), and the Juventas Algorithm, achieving an average deviation of only 1.84% from the global optimal solution.…”
Get full text

Coverage optimization of wireless sensor network utilizing an improved CS with multi-strategies by Sen-Yu Yang, Chang-Feng Chen, Kai-Qing Zhou, Yun Ou

“…Abstract Coverage optimization in wireless sensor networks (WSNs) is critical due to two key challenges: (1) high deployment costs arising from redundant sensor placement to compensate for blind zones, and (2) ineffective coverage caused by uneven node distribution or environmental obstacles. …”
Get full text

Hybrid Optimization Machine Learning Framework for Enhancing Trust and Security in Cloud Network by Himani Saini, Gopal Singh, Amrinder Kaur, Sunil Saini, Niyaz Ahmad Wani, Vikram Chopra, Zahid Akhtar, Shahid Ahmad Bhat

Get full text

Beyond Traditional Grid: A Novel Quantitative Framework for Assessing Automation’s Impact on System Average Interruption Duration Index and System Average Interruption Frequency In... by Jakub Dowejko, Jarosław Jaworski

“…It serves as a foundation for further empirical research and the implementation of intelligent grid modernisation strategies, aiming to enhance power supply stability and increase the resilience of distribution networks against outages. The introduced concept aligns with the current challenges of the energy transition, providing utilities and policymakers with analytical tools for making optimal decisions regarding the adoption of digitalisation and automation technologies in the power sector.…”
Get full text