Improved energy efficiency using meta-heuristic approach for energy harvesting enabled IoT network by Rekha, Ritu Garg

“…In this article, we propose an optimization algorithm, based on meta-heuristic, to enhance the energy efficiency of amplify and forward relay IoT networks. …”
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A Comparison of the Performance of Ensemble Tree and Neural Networks for The Prediction of Traffic Accident Duration by Hüseyin Korkmaz, Mehmet Ali Ertürk, Mehmet Adak

“…R², MSE, RMSE and MAE metrics were used for the performance measures of the algorithms applied in this paper. It was found that the Ensemble Tree algorithm achieved an R-Square of 0.85 in training, while the Neural Networks algorithm performed better with 0.91 in testing.…”
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Determining the Range of Applicability of Analytical Methods for Belleville Springs and Novel Approach of Calculating Quasi-Progressive Spring Stacks by Jędrzej Koralewski, Michał Wodtke

“…The findings identified areas of consistency between analytical methods and FEM models, leading to the development of an algorithm for selecting the appropriate computational method for different types of Belleville springs. …”
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A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation by Xinyu Yin, Xiaoyan Bian, Qinran Zhu, Jinbin Zhao, Shunfu Lin, Kwok L. Lo

“…The upper planning level introduces the economic costs, flexibility resource capacity, and flexibility index which are used as the evaluation index of system flexibility, while in the lower operation level, a morphological clustering algorithm based on the multiscale and entropy weight method is proposed for obtaining typical scenarios of flexibility demand. …”
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A Deep Reinforcement Learning-Based Speed Optimization System to Reduce Fuel Consumption and Emissions for Smart Cities by Yıldıray Yiğit, Murat Karabatak

“…This method provides safer, more comfortable travel while lowering emissions and fuel consumption. Simulations with various scenarios prove the Deep Q-Network (DQN) algorithm’s success in adjusting speed according to traffic lights. …”
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On a Singularly Perturbed Problem of the Nonlinear Thermal Conductivity in the Case of Balanced Nonlinearity by Marina A. Davydova, Svetlana A. Zakharova

“…The results can be used to create a numerical algorithm which uses the asymptotic analyses to construct space-non-uniform meshes while describing internal layer behaviour of the solution. …”
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An Adaptive Motion Estimation Scheme for Video Coding by Pengyu Liu, Yuan Gao, Kebin Jia

“…Experimental results show that more than 50% of total search points are dramatically reduced compared to the UMHexagonS algorithm in JM 18.4 of H.264/AVC. As a result, the proposed algorithm scheme can save the ME time up to 20.86% while the rate-distortion performance is not compromised.…”
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Parameter Analysis of Active Flap Control for Rotor Aerodynamic Control and Design by Runze Xia, Zhiyuan Hu, Yongjie Shi, Guohua Xu

“…Thus, a new overset assembly algorithm, an arbitrary multilevel moving grid transformation algorithm, and a solver for the unsteady Reynolds-averaged Navier-Stokes equations (URANS) are proposed to establish a suitable numerical method for AFC rotor simulation. …”
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Energy storage configuration considering user-shared costs in peak shaving auxiliary services with improved multi-objective particle swarm optimization by Yiyou Xing, Jin Shen, Xinru Li

“…Moreover, an improved particle swarm optimization algorithm, specifically adapted for this model, is developed. …”
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Big Data Digging of the Public’s Cognition about Recycled Water Reuse Based on the BP Neural Network by Hanliang Fu, Zhijian Liu, Mengmeng Wang, Zelin Wang

“…Reuse of recycled water is very important to both the environment and economy, while the public cognition degree towards recycled water reuse also plays a key role in this process, and it determines the acceptance degree of the public towards recycled water reuse. …”
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Causal Unit Selection using Tractable Arithmetic Circuits by Haiying Huang, Adnan Darwiche

“…., selecting customers who are about to churn but would most likely change their mind if encouraged). While early studies focused mainly on bounding a specific class of counterfactual objective functions using data, more recent work allows one to find optimal units exactly by reducing the causal objective to a classical objective on a meta-model, and then applying a variant of the classical Variable Elimination (VE) algorithm to the meta-model---assuming a fully specified causal model is available. …”
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Kernel Density Based Spatial Clustering of Applications with Noise by Rohan Kalpavruksha, Roshan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha

“… Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a widely used clustering algorithm renowned for its ability to identify clusters of arbitrary shapes and detect noise. …”
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Modeling Universal Thermal Climate Index Thermal Stress in Iran’s Hot Zones Using Neural Networks and Naïve Bayes by Sajad Zare, Reza Esmaeili, Rasoul Hemmatjo

“…For hot-humid regions, the NB algorithm identified mean radiant temperature (Tmrt) as the primary factor, while the NN algorithm highlighted dry temperature (Ta). …”
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Towards Accurate Photogrammetry Using Molded Markers by Iñigo Auzmendi Iriarte, Oier Saez de Egilaz, Pedro Gonzalez de Alaiza Martinez, Imanol Herrera

“…A two-stage detection algorithm is developed to accurately identify their centers: initial approximate detection by a Faster R-CNN model, followed by accurate localization using a classical cross center detection algorithm. …”
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Fuzzy Encryption Search Scheme and Data Verification Mechanism Based on Blockchain by Kuan Li

“…First, privacy protection of the raw data is achieved through a hierarchical Mini Batch K-Means clustering algorithm and locally sensitive hash functions. Second, the study proposes a blockchain data verification mechanism that employs a fuzzy encryption search scheme, in conjunction with cloud storage and a fuzzy encryption algorithm. …”
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Network slicing resource allocation strategy based on joint optimization by Zaijian WANG, Huimin GU

“…To improve network resource utilization that was decreased by different applications with different requirements in 5G networks, a network slicing resource allocation strategy based on joint optimization was proposed, which was utilized to maximize both network resource utilization and network revenue by comprehensively considering in tra-slice and inter-slice resource schedule.Firstly, the user’s average satisfaction function was defined in the inter-slicing resource allocation problem.Furthermore, in terms of the number of users, slicing schedule delay and priority, a proportional fair resource allocation algorithm based on quality of service (QoS) was proposed, which was employed to achieve the best tradeoff between fairness and the users’ requirements among slices.Secondly, after two functions (service degradation and resource migration) were introduced in the inter-slice resource schedule problem, two price models were established for internal access users and external access users respectively, where congestion and non-congestion conditions were analyzed.According to the proposed price models, a Stackelberg game between the base station and users was constructed, and a global search algorithm with low complexity was leveraged to obtain the best response of the game, where the best tradeoff between the base station revenue and user utility was obtained.Simulation results show that the proposed strategy can effectively improve resource utilization and network revenue while reducing network congestion.Therefore, it can better realize fairness in resource allocation.…”
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Error Covariance Analyses for Celestial Triangulation and Its Optimality: Improved Linear Optimal Sine Triangulation by Abdurrahim Muratoglu, Halil Ersin Söken, Uwe Soergel

“…The proposed approach, called the Improved-LOST algorithm, introduces a systematic method for evaluating and selecting optimal measurement pairs based on a Cramér–Rao Lower-Bound (CRLB) analysis. …”
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Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO) by Lec. Ali Hakem Alsaeedi, Suha Muhammed Hadi, Yarub Alazzawi, Emad Badry Badry

“…The proposed model combines two phases: regular search when searching progresses over time while the second phase, searching by eight patterns when the algorithm reaches stuck. …”
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<italic>H_&#x221E;</italic> Time-Varying Group Formation-Containment Tracking Control of Multi-Agent System With Multiple Leaders by Nani Han, Jianji Wang

“…Then the observer-based <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> time-varying formation tracking protocols are proposed to make the formation leaders realize the desired time-varying formation while tracking the convex combination of tracking leaders, and an algorithm to construct the protocols is given. …”
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Perception and Control Module of the Automatic Tracking System forAutonomous-rail Rapid Tram by YUAN Xiwen, FENG Jianghua, HU Yunqing, ZHANG Xinrui, HUANG Ruipeng, LIN Jun, YUAN Hao

“…Finally, the effectiveness of the algorithm was verified by both co-simulation and the real vehicle test. …”
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