Research progress on test scenario of ship autonomous navigation by Lijia CHEN, Kai WANG, Liwen HUANG, Shengwei LI, Xinwei ZHOU, Yanzhi LIU

“…The performance and characteristics of different scenario construction methods are compared and described, and the problems of scenario construction methods are analyzed in combination with different testing requirements such as algorithm verification optimization, performance evaluation, and safety verification. …”
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Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling by Ipek Caliskanelli, James Harbin, Leandro Soares Indrusiak, Paul Mitchell, Fiona Polack, David Chesmore

“…We explore the performance consequences of the pheromone-based load balancing approach using (1) a system-level simulator, (2) deployment of real sensor testbeds to provide a competitive analysis of these evaluation methodologies. The effectiveness of the proposed algorithm is evaluated with different scenario parameters and the required performance evaluation techniques are investigated on case studies based on sound sensors.…”
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MATHEMATICAL MODEL AND DELAY TIME OF REFLECTED SIGNAL IN SYNTHETIC APERTURE SONAR by S. R. Heister, T. T. Tran

“…The evaluation results of the delay time, the phase shift and the Doppler frequency for the different points of seabed surface are represented.…”
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YOLOv7-DWS: tea bud recognition and detection network in multi-density environment via improved YOLOv7 by Xiaoming Wang, Xiaoming Wang, Zhenlong Wu, Guannan Xiao, Guannan Xiao, Chongyang Han, Cheng Fang

“…Secondly, a new loss function WiseIoU is proposed for the loss function in YOLOv7, which improves the accuracy of the model. Finally, we evaluate different attention mechanisms to enhance the model’s focus on key features.Results and discussionThe experimental results show that the improved YOLOv7 algorithm has significantly improved over the original algorithm in all evaluation indexes, especially in the RTea(+6.2%) and mAP@0.5 (+7.7%). …”
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Correction Processing Method and Application of Induction Logging Tool in Highly Deviated Wells by LIU Jiacheng

“…Based on the influence of borehole invasion and the actual measurement signal processing algorithm, the resistivity curves of different detection depth can be obtained by projecting the processing actual logging data from vertical well to deviated-well. …”
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Parallel Simulation Multi-Sample Task Scheduling Approach Based on Deep Reinforcement Learning in Cloud Computing Environment by Yuhao Xiao, Yping Yao, Feng Zhu

“…Complex scenario analysis and evaluation simulations often involve multiple sets of simulation applications with different combinations of parameters, thus resulting in high computing power consumption, which is one of the factors that limits the efficiency of multi-sample parallel simulations. …”
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Optimizing Ontology Alignment through Improved NSGA-II by Yikun Huang, Xingsi Xue, Chao Jiang

“…Over the past decades, a large number of complex optimization problems have been widely addressed through multiobjective evolutionary algorithms (MOEAs), and the knee solutions of the Pareto front (PF) are most likely to be fitting for the decision maker (DM) without any user preferences. …”
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Trust model based on individual experience by WANG Shao-jie, ZHENG Xue-feng, WANG Xiong-bin, CHU Li-jun, YU Zhen

“…The analysis shows,by introduc-ing the new model,the accuracy of trust evaluation and the feedback trust algorithm are both improved. …”
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Study on the Processing Technology of Calamine Calcination by Near-Infrared Spectroscopy by Xiaodong Zhang, Long Chen, Yu Bai, Keli Chen

“…Then, matching the near-infrared spectroscopy data with the T value and establishing the T value analysis model using the PLS algorithm were performed. Through cross and independent validation and evaluation, it was proved that the two models were very effective and had strong predictive abilities. …”
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Efficient Design Optimization Assisted by Sequential Surrogate Models by Emiliano Iuliano

“…The surrogates are exploited to screen the design space and provide lower-fidelity predictions across it; on the other hand, specific criteria are designed to suggest new points for high-fidelity evaluation so as to enrich the optimizer database. Both Kriging and radial basis function network are used as surrogates with different training strategies. …”
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DEVELOPMENT METHODS FOR CALCULATING POWER LOSSES AND THE VOLTAGE LEVELS IN COMPLEX DISTRIBUTION NETWORKS by I. M. Valeev, Ha. D. Nguyen

“…The paper presents an analysis and evaluation of the effectiveness different methods for reduction the power loss and voltage in the distribution networks by changing and building a new network topology using the software PSS/ADEAPT. …”
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Аssessment of the Effectiveness of Etiotropic Prophylaxis of Tick-Borne Infections: the Systematization of concepts and methodological features by N. A. Penyevskaya, N. V. Rudakov

“…Algorithm for calculating the number of preventable cases of TBE diseases is proposed for a comparative evaluation of the effectiveness of vaccination as an anti-epidemic measure in different areas.…”
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MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke by U. Horn, M. Grothe, M. Lotze

“…We rather argue for a combination of different measures in an algorithm to classify fine-graded subgroups of patients. …”
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Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era by Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li

“…This paper introduces a novel framework for image preprocessing that integrates key algorithms specifically modified for graphics processing unit architecture, enabling large-scale image preprocessing for different algorithms. …”
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Benchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis by Luciano Alparone, Andrea Garzelli

“…The proposed benchmarking protocol employs the haze-corrected AWLP-H and exploits meta-analysis for cross-comparisons among different experiments. After assessment on five different datasets, it was found to provide reliable and consistent results in ranking different fusion methods.…”
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Three-State Hidden Markov Model for Spectrum Prediction in Cognitive Radio Networks by Emmanuel Oluwatosin Rabiu, Damilare Oluwole Akande, Zachaeus Kayode Adeyemo, Isaac Akinwale Akanbi, Oluwole Oladele Obanisola

“…The transmission, emission and initial state probabilities of the proposed 3-state HMM parameters were derived based on the three canonical problems associated with HMM. The evaluation, decoding and learning problems were solved using Forward algorithm, Viterbi algorithm and the Baum-Welch algorithm, respectively. …”
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When Similarity Becomes Opposition: Synonyms and Antonyms Discrimination in DSMs by Enrico Santus, Qin Lu, Alessandro Lenci, Chu-Ren Huang

“…During the evaluation, we have noticed that APAnt also has a particular preference for hypernyms.…”
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Class-Based Weighted Fair Queuing Scheduling on Dual-Priority Delta Networks by D. C. Vasiliadis, G. E. Rizos, C. Vassilakis

“…Contemporary networks accommodate handling of multiple priorities, aiming to provide suitable QoS levels to different traffic classes. In the presence of multiple priorities, a scheduling algorithm is employed to select each time the next packet to transmit over the data link. …”
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Pavement Potholes Quantification: A Study Based on 3D Point Cloud Analysis by Qingzhen Sun, Lei Qiao, Yibo Shen

“…For evaluation, comparative experiments were conducted under different lighting conditions and shooting distances. …”
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Application of Surface Roughness Analysis on Micro–Computed Tomographic Images of Bone Erosion: Examples Using a Rodent Model of Rheumatoid Arthritis by Matthew D. Silva, Jason Ruan, Elizabeth Siebert, Anneli Savinainen, Bruce Jaffee, Lisa Schopf, Sudeep Chandra

“…The roughness of the control samples was similar from each study (less than 4% different), demonstrating the robustness of the algorithm. …”
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