Multi-Users Resource Allocation Problem in OFDM Systems Under the Underlay Spectrum Sharing Mode for Cognitive Radio by Xinbin Li, Aiwu Shi, Xingfang Song

“…In order to solve the multi-users’ resource allocation problem of OFDM systems under the underlay spectrum sharing mode conveniently and efficiently，a fair resource allocation algorithm with low complexity was proposed.The fair subcarrier allocation algorithm was applied to allocate subcarrier for cognitive users to turn the complex problem of resource allocations into a simple problem of a single user power allocation.Also a linear capped water-filling algorithm with low complexity was used to solve the subcarrier power allocation problem.Simulation results show that，compared with other methods，the proposed method has very good effectiveness and superiority in application to the TV frequency’s OFDM system.…”
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Improving forest above-ground biomass estimation using genetic-based feature selection from Sentinel-1 and Sentinel-2 data (case study of the Noor forest area in Iran) by Armin Moghimi, Ava Tavakoli Darestani, Nikrouz Mostofi, Mahdiyeh Fathi, Meisam Amani

“…Biomass holds great importance in the environment, as it not only allows us to measure the carbon stored in forests but also facilitates the assessment of biodiversity and the evaluation of ecological integrity within these crucial ecosystems. …”
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Markov Observation Models and Deepfakes by Michael A. Kouritzin

“…This new EM algorithm also includes a recursive log-likelihood equation so that model selection can be performed (after parameter convergence). …”
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Method for Detecting Disorder of a Nonlinear Dynamic Plant by Xuechun Wang, Vladimir Eliseev

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The Hub Location and Flow Assignment Problem in the Intermodal Express Network of High-Speed Railways and Highways by Xiaoting Shang, Zhenghang Wang, Xin Cheng, Xiaoyun Tian

“…Lastly, numerical experiments are conducted to validate the feasibility of the model and the effectiveness of the algorithm.…”
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Application of Three Neural Network Models in the Prediction ofStratospheric Wind Field by YUAN Junjie, LUO Rubin, LIAO Jun, YANG Zechuan, WANG Ning, LI Jun

“…Meanwhile, the prediction accuracy of the three neural networks is also compared. The simulation results show that the neural network model can be applied to the prediction of stratospheric wind field and the BP neural networks optimized by genetic algorithm and particle swarm optimization can greatly improve the prediction accuracy of BP neural network, and the forecast wind speed is following the true value in a certain period of time. …”
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Optimization design of cam linkage mechanism for paper folding section of carton folding machine by XIE Dingyue, DENG Yuanchao, CAI Yufei, SONG Zhicheng

“…Using the NSGA-Ⅱ optimization algorithm, perform multi-objective optimization design on the cam linkage mechanism and select the optimal solution from the generated Pareto solution set. …”
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Computer networks anomaly detection by using PCA & pattern recognition by Elham Bideh, Javad Vahidi

“…In this research, pattern recognition based on artificial neural networks is applied to automatically detect anomalies in computer networks. Also, to increase the speed of the pattern recognition based on the process of the neural network, the principal component analysis algorithm will be used as a method for dimension reduction of training samples. …”
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An Inverse Modeling Multi-Objective Optimization Technique Based on Incremental Learning and Fuzzy Clustering by Gadallah Mohamed Abd Elaziz, Yasmine Abouelseoud, Sara H. Kamel

“…The algorithm is also tested on the pathfinding problem, the community detection problem, the sparse portfolio problem, and other real-world problems, all of which confirmed the scalability and superiority of the proposed algorithm.…”
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Reinforcement learning-based alpha-list iterated greedy for production scheduling by Kuo-Ching Ying, Pourya Pourhejazy, Shih-Han Cheng

“…Highly competitive solutions to the classic scheduling problem are identified, with up to 9% improvement compared to the baseline, when solving large-size instances. Experimental results also show that the RAIG algorithm performs more robustly than the baseline algorithm. …”
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Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution System by Zahıra Aboumarıa, Selcuk Emiroglu

“…The DG size, node, and power factor are the coordinated control variables presented in this study to minimize the power loss. Genetic Algorithm, Pattern Search, Particle Swarm Optimization, and Grey Wolf Optimizer algorithms have been exploited in the IEEE 37 node test feeder to find the optimal location, sizes, and power factors of the DGs. …”
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Robust Bi-Objective Optimization and Dynamic Modeling of Hydropneumatic Suspension Unit Considering Real Gas Effects by Di Sun, Moonsuk Chang, Jinho Kim

“…These findings not only advance ISU design methodologies but also offer viable solutions to existing reliability challenges.…”
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Accuracy improvement in financial sanction screening: is natural language processing the solution? by Seihee Kim, ShengYun Yang

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One-point Method for Speed Strategy Optimization Based on Slope Simplification and Speed Limit Prediction by XING Jian, HAN Bing

“…On the other hand，one point operation strategy is also more energy efficient than manual manipulation. …”
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A Multi-Frequency Iterative Method for Reconstruction of Rough Surfaces Separating Two Penetrable Media by Ahmet Sefer, Ali Yapar, Hakan Bagci

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A downlink resource scheduling strategy for C-RAN backhaul network by WANG Ru-yan, ZHOU Jing, WU Da-peng

“…With the rapid development of mobile internet technology and daily increase in wireless user equipment as well as demand of mobile applications, the required quality of service (QoS) by mobile users for wireless communication networks is increasing, and the pressure of backhaul network is also increasing. The emerging cloud radio access network (C-RAN) can effectively improve the network capacity and user service quality. …”
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Recognition of signs of Parkinson's disease based on the analysis of voice markers and motor activity by U. A. Vishniakou, Xia Yiwei

“…A Bayesian optimizer is also used to improve the hyperparameters of the KNN algorithm.Results. …”
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The maximum range method for finding initial basic feasible solution for transportation problems by Fredrick Asenso Wireko, Ignatius Dennis Kwesi Mensah, Emmanuel Nii Apai Aborhey, Samuel Adu Appiah, Charles Sebil, Joseph Ackora-Prah

“…The observation was that the proposed algorithm in many cases produced an optimal initial basic feasible solution (IBFS) for both balanced and unbalanced transportation problems and also tend to have a very high average of correctness percentage compared to some existing algorithms.…”
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Multi-Beam Focusing and Deflecting Characteristics of Liquid Crystal Optical Phased Array by Xue Xu, Lin Xu, Xitong Liang, Jun Dai

“…This not only brings convenience to control, but also reduces the cost of devices. Meanwhile, based on the Gerchberg–Saxton algorithm (GS algorithm) and the method of lens phase superposition, we achieved a composite function of multiple-beam fan-out with focusing function by simulation and experiment. …”
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Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN by Tiejiang YUAN, Rongsheng LI, Jiandong KANG, Huaguang YAN

“…The results show that the improved ESN model predicts the root mean square error and average absolute percentage error of 0.0342 and 0.9315%, respectively, and the prediction accuracy is significantly improved compared with the ordinary ESN model, and the prediction accuracy of the medium- and long-term RUL is also higher.…”
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