Development and Evaluation of a Multi-Robot Path Planning Graph Algorithm by Fatma A. S. Alwafi, Xu Xu, Reza Saatchi, Lyuba Alboul

“…A new multi-robot path planning (MRPP) algorithm for 2D static environments was developed and evaluated. …”
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Integrating Inferential Statistics and Systems Dynamics: A Study of Short-Term Happiness Evolution in Response to a Dose of Alcohol and Caffeine by Salvador Amigó, Antonio Caselles, Joan C. Micó, Pantaleón D. Romero

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Review of Multivariate Time Series Clustering Algorithms by ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu

“…This paper provides an overview of clustering analysis algorithms for multivariate time series data scenarios. …”
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Confidence of comments evaluated for Web service based on difference-induced by Qingbo GONG, Jun NIU, Xiuting SUN, Kui WANG

“…Historical comments of requestors provide important references for Web service selections.However，the information is subjective.An approach to evaluate the confidence of the comments through differential induction based on data of objective QoS（quality of service）and subjective score of comments was proposed.Firstly，the similarity relation between requestors was judged，according to different values of QoS produced by the same service invoked by more than one requestor.Then，the evaluation algorithm of confidence was built based on previous similarity relation and the subjective score of the corresponding requestor.Finally，the balanced factor of confidence formed by the algorithm assessed whether the comments from requestors are reliable.Algorithm analysis and experimental results show that the method is feasible and effective.…”
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ESTIMATION OF THERMAL IMAGER MINIMUM RESOLVABLE TEMPERATURE DIFFERENCE by Ahmed M.L. Al-Mzirawi, V. G. Kolobrodov, V. I. Mykytenko

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Optimal placement of renewable distributed generators and electric vehicles using multi-population evolution whale optimization algorithm by Rinchen Zangmo, Suresh Kumar Sudabattula, Sachin Mishra, Nagaraju Dharavat, Naresh Kumar Golla, Naveen Kumar Sharma, Vinay Kumar Jadoun

“…It is discovered that the Multi-population Evolution Whale Optimization Algorithm (MEWOA) produces better results than other methods in the literature and is valuable and practical for handling these nonlinear optimisation situations.…”
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THE EVALUATION OF READINESS DEGREE OF THE REGIONS TO THE INNOVATIVE DEVELOPMENT BY THE CLUSTER ANALYSIS METHOD by A. V. Permyakov, O. N. Kolomyts, V. V. Prokhorova, A. V. Sysolyatin

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Voice pathology detection using machine learning algorithms based on different voice databases by Nurul Mu'azzah Abdul Latiff, Fahad Taha Al-Dhief, Nurul Fariesya Suhaila Md Sazihan, Marina Mat Baki, Nik Noordini Nik Abd. Malik, Musatafa Abbas Abbood Albadr, Ali Hashim Abbas

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Forecasting: Analyze Online and Offline Learning Mode with Machine Learning Algorithms by Farida Ardiani, Rodhiyah Mardhiyyah, Izaaz Azaam Syahalam, Nasmah Nur Amiroh

“…This learning mode opens a new discourse regarding the impact on the learning mode and educational evaluation results. The author aims to compare the results of the educational evaluation of the online learning mode during the pandemic with offline learning mode, so that differences will be known, as well as can be used to predict student learning outcomes, in order to obtain an overview of the effectiveness and efficiency of a learning mode. …”
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Different sets of QTLs influence fitness variation in yeast by Gal Hagit Romano, Yonat Gurvich, Ofer Lavi, Igor Ulitsky, Ron Shamir, Martin Kupiec

“…The populations acquired different sets of affecting alleles, showing that evolution can provide alternative solutions to the same challenge. …”
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MSM: a scaling-based feature matching algorithm for images with large-scale differences by Qifeng Ge, Xiaoping Du, Chen Xu, Jianhao Xu, Zhenzhen Yan, Xiangtao Fan

“…For a more comprehensive evaluation of the MSM, we have meticulously devised a scale difference index (SDI) and constructed a multi-scale dataset (MSD) by SDI. …”
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Comparison of different neurite density metrics with brain asymmetry evaluation by Ivan I. Maximov, Lars T. Westlye

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Tri-objective parallel machine with job splitting and sequence dependent setup times using differential evolution and particle swarm optimization by Warisa Wisittipanich, Nuttachat Wisittipanit

“…This study applied two metaheuristic algorithms, namely differential evolution (DE) and particle swarm optimization (PSO) to the tri-objective PMSP with job splitting and sequence dependent setup times (PMSP-JSSDST) in order to obtain solutions with simultaneously minimized makespan, tardiness and total energy consumption. …”
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A novel extraction model optimization with effective separation coefficient for rare earth extraction process using improve differential evolution by Fangping Xu, Hui Yang, Jianyong Zhu, Wenjia Chang

“…Taking into account the multi-modal and multi-variable characteristics of the optimized objective function, we put forth an enhanced version of the improved differential evolution algorithm, the Linear-Chaos and Two Mutation Strategies of Adaptive Differential Evolution (LCTADE)with Covariance Matrix and Cauchy Perturbation(CC-LCTADE). …”
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Early warning processing results and algorithm improvement for doublet earthquakes in different locations in Xinjiang by Weiheng Yu, Shuilong Li, Shiwen Zhou

“…These measures can help improve the off-site doublet earthquake processing algorithm in the Fujian early warning system.…”
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Comparison of Different Machine Learning Algorithms to Classify Epilepsy Seizure from EEG Signals by Pankaj Kunekar, Chanchal Kumawat, Vaishnavi Lande, Sushant Lokhande, Ram Mandhana, Malhar Kshirsagar

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Various optimization algorithms for efficient placement and sizing of photovoltaic distributed generations in different networks. by Ahmed A Zaki Diab, Fayza S Mahmoud, Hamdy M Sultan, Abou-Hashema M El-Sayed, Mohamed A Ismeil, Omar Makram Kamel

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Investigating the InSAR Phase Bias in the SBAS Algorithm and Its Effect on Different Landcovers by Ebrahim Karami, Siavash Shami, Yasser Maghsoudi, Babak Ranjgar, Saeed Azadnejad

“…The most common InSAR algorithms for monitoring displacement are SBAS and PS time series. …”
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Prediction of contact resistance of electrical contact wear using different machine learning algorithms by Zhen-bing Cai, Chun-lin Li, Lei You, Xu-dong Chen, Li-ping He, Zhong-qing Cao, Zhi-nan Zhang

“…Machine learning (ML) algorithms were used to predict the electrical contact performance of different factors after wear to determine the correlation between different factors and contact resistance. …”
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An Effective Genetic Algorithm for Mixed Precision by Wanyu Zhang, Yu Shang, Min Tsao, Yiwei Li, Xiaoyu Song

“…Our method leverages algorithmic differentiation and first-order Taylor series approximation to assess the impact of precision variations efficiently. …”
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