Timelike-bounded dS 4 holography from a solvable sector of the T 2 deformation by Eva Silverstein, Gonzalo Torroba

“…To accurately capture local bulk excitations of dS 4 including gravitons, we build a deformation algorithm in direct analogy to the case of dS 3 with bulk matter recently proposed in [2]. …”
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Similarity evaluation of rocket time series data based on radian features by Zeng Teng, Xu Haizhou, Li Linfeng, Zhou Gan, Meng Linggang

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Multi-Field-Coupled Model and Solution of Active Electronically Scanned Array Antenna Based on Model Reconstruction by Dan Han, Jin Huang, Jinzhu Zhou, Mei Wang, Sen Xu, Haitao Li, Shen Li

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Coordinated Scheduling for Zero-Wait RGV/ASR Warehousing Systems with Finite Buffers by Wenbin Gu, Na Tang, Lei Wang, Zhenyang Guo, Yushang Cao, Minghai Yuan

“…Additionally, in 15 randomized test scenarios, AMHS demonstrated superior performance over three benchmark algorithms—Genetic Algorithm (GA), Discrete Imperialist Competitive Algorithm (DICA), and Improved Whale Optimization Algorithm (IWOA)—achieving an average makespan reduction of 12.6% relative to GA.…”
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Educational Information System Optimization for Artificial Intelligence Teaching Strategies by Taotang Liu, Zhongxin Gao, Honghai Guan

“…From the test results, it can be seen that the algorithm is not easy to fall into the local optimum. …”
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Corrosion rate prediction for long-distance submarine pipelines based on MWIWOA-SVM by Zhengshan LUO, Haipeng LYU, Jihao LUO

“…Most existing models rely on Support Vector Machine (SVM), which has limitations including low convergence accuracy, unbalanced optimization, and a tendency to get stuck in local optima. MethodsTo address these issues, Multi-Way Improved Whale Optimization Algorithm (MWIWOA) was proposed to optimize the SVM-based prediction model for the internal corrosion rate of long-distance submarine pipelines. …”
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Application of Improved WOA in Hammerstein Parameter Resolution Problems under Advanced Mathematical Theory by Lu Zhao, Jiangjun Liu, Yuan Li

“…With the development of industrial demand, precise identification of system models is currently required in the field of industrial control, which limits the whale search algorithm. In response to the fact that whale optimization algorithms are prone to falling into local optima and the identification of important Hammerstein models ignores the issue of noise outliers in actual industrial environments, this study improves the whale algorithm and constructs a Hammerstein model identification strategy for nonlinear systems under heavy-tailed noise using the improved whale algorithm. …”
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Optimum sizing of hybrid sustainable and renewable energy systems using a modified harris hawks optimizer by Djamel Eddine Sifou, Aissa Kheldoun, Ahmed Chaib, Hamza Belmadani, Hisham Alharbi, Saleh S. Alharbi, Takele Ferede Agajie, Sherif S.M. Ghoneim

“…To boost the use of renewable energy sources while maintaining reliability and affordability, Multi-source renewable and sustainable energy systems must be optimally sized. This research introduces a stand-alone metaheuristic algorithm for designing a hybrid sustainable and renewable energy system combining Wind turbine, PV and battery system. …”
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Rolling Bearing Fault Diagnosis Method Based on Improved Variational Mode Decomposition and Information Entropy by Wen FAN, Lian GE, Xiaoting XIAO, Fangji GAN, Xin LAI, Hongxia DENG, Qi HUANG

“…A new fitness function combining differential evolution (DE) algorithm with gray wolf optimization (GWO) algorithm is proposed to form a new hybrid optimization algorithm, named DEGWO. …”
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Follow That Tune – Adaptive Approach to DTW-based Query-by-Humming System by Bartłomiej STASIAK

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Path planning of mobile robot based on improved PRM and APF by Wanqiang Xi, Junzhi Lin, Ziyan Shao

“…However, the APF algorithm often encounters challenges such as local minima and unreachable goals in complex environments. …”
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A Survey on Fail-safe Motion Planning Methods for Autonomous Driving by TANG Shiqi, LI Bai, ZHANG Youmin

“…Compared with the classical motion planning algorithm, the fail-safe motion planning algorithm is committed to generating local motion trajectories that ensure the safety of passengers and vehicles as much as possible, and makes full use of the remaining automatic driving ability (perception, decision-making and control ability), so as to fully explore the potential and intelligent attributes of motion planning to make up or alleviate the possible faults of each module of the system. …”
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Convolutional neural network-based low light image enhancement method by J. Guo

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Double Panel Structure for Active Control of Noise Transmission by Leszek MORZYŃSKI, Grzegorz SZCZEPAŃSKI

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Evaluating textural descriptors for automated image classification of stony reefs in turbid temperate waters by Saulė Medelytė, Yuri Rzhanov, Andrius Šiaulys, Kim Lowell

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An Effective QoS-Aware Hybrid Optimization Approach for Workflow Scheduling in Cloud Computing by Min Cui, Yipeng Wang

“…However, developing effective workflow scheduling algorithms to find optimal or near-optimal task-to-VM allocation solutions that meet users’ specific QoS requirements still remains an open area of research. …”
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Distributed Monitoring of Moving Thermal Targets Using Unmanned Aerial Vehicles and Gaussian Mixture Models by Yuanji Huang, Pavithra Sripathanallur Murali, Gustavo Vejarano

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Peri-operative intrastromal corneal segmentation after creation of corneal cuts based on laser induced optical breakdown: A perspective study by Mehrjoo Masoud, Pacuraru Alexander, Krüger Luise, Beck Florian, Doll Konrad, Mosquera Samuel Arba

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Partial Discharge Signal Capture of High Voltage Cable Under Deep Belief Network by GAO Baoqi, MA Hanchao, BI Yanbing, ZHANG Xiaojun, WU Suzhou

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An Efficient Text Analysis Tool for Streamlining Literature Reviews by Oliver Bonham-Carter

“…Researchers often rely on keyword-based search algorithms that return noisy results, making it difficult to find relevant articles and to note the connections that the articles share. …”
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