A lightweight knowledge graph-driven question answering system for field-based mineral resource survey by Mingguo Wang, Chengbin Wang, Jianguo Chen, Bo Wang, Wei Wang, Xiaogang Ma, Jiangtao Ren, Zichen Li, Yicai Ye, Jiakai Zhang, Yue Wang

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Duty of care, data science, and gambling harm: A scoping review of risk assessment models by Virve Marionneau, Kim Ristolainen, Tomi Roukka

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A new approach for diabetes risk detection using quadratic interpolation flower pollination neural network by Yulianto Triwahyuadi POLLY, Adriana FANGGIDAE, Juan Rizky Mannuel LEDOH, Clarissa Elfira AMOS PAH, Bertha S. DJAHI, Kisan Emiliano Rape TUPEN

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Basketball teaching methods based on 3D-Convolutional neural network by Chao Huang, Xian Wu

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Machine learning approaches for predicting frailty base on multimorbidities in US adults using NHANES data (1999–2018) by Teng Li, Xueke Li, Haoran XU, Yanyan Wang, Jingyu Ren, Shixiang Jing, Zichen Jin, Gang chen, Youyou Zhai, Zeyu Wu, Ge Zhang, Yuying Wang

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Analysis of Generalization Ability for Different AdaBoost Variants Based on Classification and Regression Trees by Shuqiong Wu, Hiroshi Nagahashi

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Splitting method involving two-step inertial for solving inclusion and fixed point problems with applications by Francis O. Nwawuru, Ojen K. Narain, Mohammad Dilshad, Jeremiah N. Ezeora

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Bayesian exploration of the composition space of CuZrAl metallic glasses for mechanical properties by Tero Mäkinen, Anshul D. S. Parmar, Silvia Bonfanti, Mikko J. Alava

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Using 'sentinel' plants to improve early detection of invasive plant pathogens. by Francesca A Lovell-Read, Stephen Parnell, Nik J Cunniffe, Robin N Thompson

“…Using Xylella fastidiosa infection in Olea europaea (European olive) as a current high profile case study, for which Catharanthus roseus (Madagascan periwinkle) is a candidate sentinel host, we apply a Bayesian optimisation algorithm to determine the optimal number of sentinel hosts to introduce for a given sampling effort, as well as the optimal division of limited surveillance resources between crop and sentinel plants. …”
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Compressive Sensing of Multichannel Electroencephalogram Signals Based on Nonlocal Low-Rank and Cosparse Priors by Jun Zhu, Lei Feng, Chunmeng Wang

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PSO Tuned Super-Twisting Sliding Mode Controller for Trajectory Tracking Control of an Articulated Robot by Zewdalem Abebaw Ayinalem, Abrham Tadesse Kassie

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Reconstruction of Tissue-Specific Metabolic Networks Using CORDA. by André Schultz, Amina A Qutub

“…Here we introduce a novel algorithm called Cost Optimization Reaction Dependency Assessment (CORDA) to build genome scale models in a tissue-specific manner. …”
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A Two-Phase Pattern Generation and Production Planning Procedure for the Stochastic Skiving Process by Tolga Kudret Karaca, Funda Samanlioglu, Ayca Altay

“…In addition, we also compare the performance of the dragonfly algorithm (DA) to the particle swarm optimization (PSO) for pattern generation. …”
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Adaptive Representations for Improving Evolvability, Parameter Control, and Parallelization of Gene Expression Programming by Nigel P. A. Browne, Marcus V. dos Santos

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Automatic text generation system for endangered languages based on conditional generative adversarial networks by Zhong Luo

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VR interactive input system based on INS and binocular vision fusion by Hongxia Zhao, Bei Wang

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Research on High-Reliability Energy-Aware Scheduling Strategy for Heterogeneous Distributed Systems by Ziyu Chen, Jing Wu, Lin Cheng, Tao Tao

“…This study proposes a two-stage collaborative optimization strategy. With the help of an innovative algorithm design and theoretical analysis, the multi-objective optimization challenges mentioned above are systematically solved. …”
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A Novel Deep Learning-Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power Grid by Camille Franklin Mbey, Felix Ghislain Yem Souhe, Vinny Junior Foba Kakeu, Alexandre Teplaira Boum

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Innovative design of wood texture images for indoor furniture based on variable space by Chuan Xue, Ling Jin

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A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence by Nhat-Duc Hoang, Anh-Duc Pham, Minh-Tu Cao

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