Data-driven automated job shop scheduling optimization considering AGV obstacle avoidance by Qi Tang, Huan Wang

“…To solve the model, we design an improved particle swarm algorithm combining genetic operators, crossover operators and elite retention operator. …”
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Probabilistic Error Modeling and Topology-Based Smoothing of Indoor Localization and Tracking Data, Based on the IEEE 802.15.4a Chirp Spread Spectrum Specification by Olga E. Segou, Stelios C. A. Thomopoulos

“…The application of the smoothing algorithm, however, further reduces the normalized error by a considerable amount.…”
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Deep Domain Adaptation Approach Using an Improved Parallel Residual Network for Cross-Domain Bearing Fault Diagnosis by Jiezhou Huang

“…Experimental results illustrate that the algorithm can extract domain-invariant features for different cross-domain diagnosis tasks and thus improve fault diagnosis accuracy.…”
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Design of Semantic Matching Model of Folk Music in Occupational Therapy Based on Audio Emotion Analysis by Wensi Ouyang

“…The model is based on the framework of emotional semantic matching technology and realizes the emotional semantic matching of music fragments and words through semantic emotional recognition algorithm. Multiple experiments show that when W=0.65, the recognition rate of multichannel fusion model is 88.42%, and the model can reasonably realize audio emotion analysis. …”
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Two-Step Root-MUSIC for Direction of Arrival Estimation without EVD/SVD Computation by Feng-Gang Yan, Shuai Liu, Jun Wang, Ming Jin

“…A two-step root multiple signal classification (TS-root-MUSIC) algorithm is proposed to avoid the complex EVD/SVD computation using a uniform linear array (ULA) based on a mild assumption that the number of signals is less than half that of sensors. …”
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Classification of taxes and fees as a method of systematization of environmental taxation in the russian federation by L. S. Samodelko

“…To solve one of the main tasks, namely, to form the theoretical foundations of the algorithm for monitoring and evaluating empirical data within the framework of the state’s tax policy, it is necessary to analyze scientific publications and synthesize knowledge of Russian and foreign practices in the field of environmental taxation. …”
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Automatic Segmentation of High Speed Video Images of Vocal Folds by Turgay Koç, Tolga Çiloğlu

“…The problems are solved by using novel masking, illumination, and reflectance modeling methods. The overall algorithm has three stages: masking, illumination modeling, and segmentation. …”
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Management tools for the implementation of  ESG principles in  an industrial company by I. V. Groshev, T. M. Gololobova

“…As a result, the proposed management algorithm has been evaluated and its main components have been presented, which are becoming a priority at the present stage of the development of the Russian economy. …”
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RESEARCH ON OPTIMAL SELECTION OF UITRASONIC GUIDED WAVE DETECTION FREQUENCY IN DIRT PIPES BASED ON CHIRP EXCITATION by SUN LingFang, ZHANG Ying, WU ChunYing, PIAO Heng

“…It is required to conduct repeated multi-frequency test to determine the best detection frequency when taking traditional tone burst as the guided wave excitation of dirt pipe, which had problems of blindness, time and resources consuming. A conversion algorithm from broadband chirp to tone burst was put forward based on broadband chirp guided wave excitation of dirt pipe. …”
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Resiliency Improvement of Distribution Network Considering the Charge/Discharge Management of Electric Vehicles in Parking Lots through a Bilevel Optimization Approach by Mohammad Alizadeh, Meysam Jafari-Nokandi, Majid Shahabi

“…A combination of mathematical programming and evolutionary algorithm is applied to reach the final solution. The proposed model is implemented by applying several concurrent faults to the 118-bus active DN, which is coupled with a 25-node traffic network. …”
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A IEEE 802.11e HCCA Scheduler with a Reclaiming Mechanism for Multimedia Applications by Anna Lina Ruscelli, Gabriele Cecchetti

“…In this paper a scheduling algorithm, Unused Time Shifting Scheduler (UTSS), is deeply analyzed. …”
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A wideband coaxial-to-waveguide transition devised with topology optimization by Md. Sazzad Hossain, Jane M. Lehr, Andrew Fierro, Edl Schamiloglu

“…Then the cell values are altered via a BPSO algorithm to optimize the width of the operating band, resulting in a complex structure that yields a bandwidth 38% larger than the control. …”
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Yoyo trick on type‐II generalised Feistel networks by Tao Hou, Ting Cui

“…Based on these two distinguishers, it is found that the original yoyo game algorithm, proposed to attack the 5‐round Feistel structure, is not suitable for these structures, owing to the characteristics of the yoyo game cycle. …”
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Seismic Performance and Vibration Control of Rapid Construction Environmental Protection Wall Based on Artificial Intelligence by Jie Fu, Shuangxi Zhou, Li Liu, Mingxing Liu

“…This paper firstly established the seismic performance analysis model of the environmental protection wall, used the finite element method to construct the environmental protection wall model, and then used the artificial intelligence algorithm to analyze the seismic performance of the rapid construction environmental protection wall. …”
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An advection-diffusion-reaction size-structured fish population dynamics model combined with a statistical parameter estimation procedure: Application to the Indian Ocean skipjack... by Blaise Faugeras, Olivier Maury

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Multi-Objective Optimization and Decision Making for Spatial Layout of Sponge Facilities by ZHANG Dongqing, DING Xiangyi, WANG Jia, SONG Tianxu, MA Mengyang

“…The risk of urban flooding and non-point source pollution intensifies due to climate change and urbanization.Sponge city,a nature-based solution to adapt to climate change,is being promoted in China.How to plan and design sponge facilities to give full play to their diversified benefits becomes the key to effectively constructing a sponge city.In this study,a multi-objective optimization coupling model was constructed based on the NSGA-Ⅲ algorithm and SWMM.TOPSIS method was used to screen out the optimization scheme,and the hydrological benefits,environmental benefits,and irrigation water demand of the optimization scheme under hydrological years with high,normal,and low flows were analyzed.The method was applied to Dongshan Campus of Shanxi University.The results indicate that the three optimal schemes show good hydrological and environmental benefits under typical hydrological years,with an average annual runoff reduction rate of 68.3% and an SS reduction rate of 83.7%.Scheme S1 is the closest to the ideal scheme and has the largest irrigation water demand, which is about 228 000 m³ per year. …”
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PV Power Forecasting in the Hexi Region of Gansu Province Based on AP Clustering and LSTNet by Xujiong Li, Guoming Yang, Jun Gou

“…First, the affinity propagation algorithm is used to divide the regionally distributed photovoltaic station clusters into different seasons. …”
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Challenges and Prospects of Deploying AI and Machine Learning for Clinical Diagnosis in African Healthcare by Edmund Terem Ugar

“…This stems from the inherent nature of the data used to develop these technologies, primarily sourced from healthcare experiences in designing nations, coupled with the pervasive algorithmic biases prevalent in contemporary ML systems. …”
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Research on Upper Bound Limit Stability Analysis of Multi-Step High Steep Slope by Zhen Wang

“…In order to explore the stability of multi-step high steep slope, this paper considers layer distribution of soil and builds a slope failure mechanism which meets requirements of velocity separation based on plastic mechanics principles, then derives the calculation method of external force power and internal energy dissipation power in failure area using numerical analysis theory, and proposes a loop algorithm for slope stability analysis combining upper bound limit analysis theorem and strength reduction principle. …”
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PERFORMANCE ANALYSIS AND LIGHTWEIGHT DESIGN OF A FRONT SUBFRAME by JIANG LiHong, WU QingJie

“…Aiming at checking the performance of a front subframe whether could meet the design requirements.Firstly,the grid model of the front subframe was built by adopting finite element method,and it was modal performance analyzed,the analysis result showed that its first two natural frequency were higher than the engine excitation frequency,so it could meet dynamic performance requirements.Secondly,the front subframe was modal tested,the test result showed that its simulation analysis precision was high.Thirdly,the front suspension dynamic model was built,and it was load based on theoretical forces,so its connection point load of typical working condition were obtained.Fourthly,the front subframe was strength analyzed by adopting inertia release method,the analysis result showed that its stress were lower than material yield value,so it could meet meet the strength characteristics.Lastly,the front subframe was lightweight designed by adopting neighborhood cultivation multiobjective genetic algorithm,the optimal thickness were obtained.Its modal performance and strength performance could meet the requirements after optimization,its weight had been successfully reduced by 9.9%,and it had passed the real vehicle road test verification.The theoretical and scientific reference were provided for obtaining the structural performance and optimization design.…”
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