Secure Cooperative Dual-RIS-Aided V2V Communication: An Evolutionary Transformer–GRU Framework for Secrecy Rate Maximization in Vehicular Networks by Elnaz Bashir, Francisco Hernando-Gallego, Diego Martín, Farzaneh Shoushtari

“…To further enhance convergence and secrecy performance, we incorporate an improved gray wolf optimizer (IGWO) to adaptively regulate the model’s hyper-parameters and fine-tune the RIS phase shifts, resulting in a more stable and optimized learning process. …”
Get full text

Blasting vibration velocity prediction of open pit mines based on GRA-EPSO-SVM model by Pengfei ZHANG, Yong YUAN, Yunhua HE, Shaojun DAI, Jiazhen LI, Xuehai CHI, Wei LI, Xue SUN, Jiao ZHANG, Runcai BAI, Honglu FEI

“…In the scene of coal and rock interbedded blasting in open-pit mine, aiming at the problems that the existing prediction methods of blasting vibration peak value are difficult to achieve ideal prediction results, resulting in unreasonable design of blasting parameters and initiation network, a prediction model of blasting vibration peak value based on integrated particle swarm optimization support vector machine algorithm (GRA-EPSO-SVM) with grey correlation degree feature selection is proposed. …”
Get full text

Detection and Localization of False Data Injection Attacks in Smart Grids Applying an Interpretable Fuzzy Genetic Machine Learning/Data Mining Approach by Marian B. Gorzałczany, Filip Rudziński

“…In order to address that problem, we employ our knowledge discovery machine learning/data mining (ML/DM) approach—implemented as a collection of fuzzy rule-based classifiers (FR-BCs)—characterized by a genetically optimized accuracy–interpretability trade-off. …”
Get full text

Tomato leaf disease detection method based on improved YOLOv8n by Ming Chen, Chunping Wang, Chengwei Liu, Ying Yu, Yuan Yuan, Jiaxuan Ma, Kaisheng Zhang

“…To address this issue, this paper proposes an optimized YOLOv8n algorithm, incorporating a C2f-DynamicConv optimization module. …”
Get full text

Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

Get full text

Study on advanced aerogenerator with “rotor-in-socket” assembly type by Vladimir A Kostyukov, Mikhail Yu Medvedev, Andrey M. Maevskiy, Nikolay K. Poluyanovich, Vasily V. Savchenko

“…There is a performance improvement problem of the existing wind-driven power plants (WPP). …”
Get full text

Multi-objective bi-level programming algorithm to design transition mechanism for wind farm participation in electricity markets by Wenjing Zhu, Ping Dong, Yuke Lu, Mingbo Liu

“…The lower level model jointly clears day-ahead and real-time energy and reserve markets considering the uncertainty of wind farm’s outputs via stochastic optimization problem to maximize social welfare. The bi-level model is transformed into a multi-objective mixed-integer nonlinear programming model using the Karush-Kuhn-Tucker condition and the big M method. …”
Get full text

Decision-making framework with q-rung picture fuzzy linguistic information and its applications to logistics hubs during disaster response establishment by Gia Sirbiladze, Harish Garg, Bidzina Midodashvili, Irakly Parshutkin, Bezhan Ghvaberidze

Get full text

Design of experiments for the stochastic unit commitment with economic dispatch models by Nahal Sakhavand, Jay Rosenberger, Victoria C.P. Chen, Harsha Gangammanavar

Get full text

Multi-head surface mounting placement optimisation based on adaptive multi-point crossover operator by Song Zhiqiang, Zhang Chunfu

“…Due to the large scale of the problem, finding the optimal solution within a reasonable time frame is challenging. …”
Get full text

HEAT – AND MASS TRANSFER EQUIPMENT DEVELOPMENT FOR POWER SYSTEMS (PART 2) by Doroshenko A. V., Vasyutynsky S. Y.

Get full text

Numerical Analysis of Parameters of the Radiant Heating System with Radiating Panels by Redko A.A., Kulikova N.V., Burda Yu.A., Pavlovsky S.V., Redko O.F., Pivnenko Yu.A.

Get full text

Short-term Power Load Forecasting for a 33/11 KV Sub-Station by Utilizing Attention-Based Hybrid Deep Learning Architectures by Mukkamala R.

Get full text

Aerodynamic Characteristics of the Combustion Process of Sawdust in a Vortex Furnace with Counter-Swirling Flows by Dzhyoiev R.L., Redko A.A., Redko I.A., Pivnenko Yu.A., Burda Yu.A., Gvozdetskii A.V., Alforov S.A.

Get full text

Ways to Reduce the Resistance Torque During the Disk Rotor Spinning and to Increase the Electromotive Force in the Transverse Magnetic Flux Generator in No-Load Mode by Yehorov A.V., Duniev O.O., Masliennikov A.M., Stamann M.

Get full text

Computation offloading scheme for RIS-empowered UAV edge network by Bin LI, Wenshuai LIU, Wancheng XIE, Zesong FEI

“…In order to address the challenge of low offloading rate caused by the obstacles blocking in the links between unmanned aerial vehicle (UAV) and ground users (GU) in urban scene, a partial task offloading scheme for UAV-enabled mobile edge computing with the aid of reconfigurable intelligence surface was proposed.A nonconvex and multivariable coupling stochastic optimization problem was formulated by the joint design of the computation task allocation, the transmit power of GU, the phase shift of RIS, UAV computation resource, and UAV trajectory, aiming at maximizing the minimum average data throughput of GU.By leveraging the properties of mathematical expectation, the stochastic optimization problem was transformed into a deterministic optimization problem.Then, the deterministic optimization problem was decomposed into three subproblems by using the block coordinate descent (BCD) algorithm.By introducing auxiliary variables, the nonconvex problems were transformed into convex optimization problems via the successive convex approximation and semidefinite relaxation, and then the approximate suboptimal solution of the original problem was obtained.The simulation results show that the proposed algorithm has good convergence performance and effectively improves the average data throughput of GU.…”
Get full text

Reliability and Quality of Complex Systems by V.N. Klyachkin, V.O. Tashnichenko

“…The solution of the optimization problem made it possible to find the optimal sample size, the interval between samples, the probability of a false alarm and the average time of the process being in an unstable state. …”

Caching deployment based on energy efficiency in device-to-device cooperative networks by Weiguang Wang, Hui Li, Yang Liu, Wei Cheng, Haoyang Qin

“…And then we establish an optimization problem to maximize energy efficiency. As the formulated optimization problem is a multiple-ratio fractional programming problem that cannot be solved conveniently, we propose a quadratic transformation method to nest in the energy efficiency maximization problem. …”
Get full text

Buffer-aided cooperative NOMA with power transfer by Long YANG, Li ZHAO, Yuchen ZHOU, Bingtao HE, Jian CHEN

“…To improve the throughput of multiuser simultaneous wireless information and power transfer systems, a buffer-aided cooperative non-orthogonal multiple access scheme with power transfer was designed to maximize the average throughput under the constraints of average/peak power, user’s rate, and the buffer stability.To reduce the optimization complexity, the Lyapunov’s method was introduced to convert the long-term average optimization problem into a series of time-discrete subproblems, and an adaptive transmission and resource allocation optimization algorithm was proposed, where the working mode, the user scheduling and the power allocation were dynamically optimized according to the time-varying channel/buffer state.Simulation results demonstrate that compared with the existing schemes, the proposed scheme can significantly enhance the average throughput whilst achieving the tradeoff between the delay and throughput.…”
Get full text

Interference-aware node access scheme in UAV-aided VANET by Xiying FAN, Chuanhe HUANG, Junyu ZHU, Shaojie WEN

“…In vehicular Ad Hoc network (VANET),frequent link handovers and channel interference can lead to increased transmission delay and decreased network throughput.To address the issues,unmanned aerial vehicle (UAV) were introduced to cooperate with vehicles and construct UAV-assisted air-ground integrated VANET.An interference-aware node access scheme was proposed.The node access problem was formulated as a multi-objective optimization problem considering link transmission rate,link handovers and transmit power.Then the optimization problem was decomposed into two convex optimization sub-problems by dual decomposition method,the sub-problem jointly optimizes handovers and link transmission rate while the sub-problem optimizes the transmit power based on link reliability.Finally,simulation results show that the proposed mechanism can effectively improve data delivery ratio,average end-to-end delay and network throughput.…”
Get full text