Product review summarization by Chng, Charlotte

“…In our experiment, we used the publicly available Amazon fine food reviews dataset to fine-tune a Bidirectional Representation for Transformers (BERT) model that has been pre-trained on Yelp and a separate Amazon review dataset, as well as a Robustly optimized BERT approach (RoBERTa) model. We then compared their Recall-Oriented Understudy for Gisting Evaluation (ROUGE) scores with a transformer model that has been trained from scratch. …”
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Active set solver for min-max robust control with state and input constraints by Buerger, J, Cannon, M, Kouvaritakis, B

“…This paper proposes an online active set strategy for computing the dynamic programming solution to a min-max robust optimal control problem with quadratic H1 stage cost for linear systems with linear state and input constraints in the presence of bounded disturbances. …”

Robust Algorithm Software for NACA 4-Digit Airfoil Shape Optimization Using the Adjoint Method by Naser Tanabi, Agesinaldo Matos Silva, Marcosiris Amorim Oliveira Pessoa, Marcos Sales Guerra Tsuzuki

“…Therefore, in this study, we propose an algorithm that is capable of robustly optimizing the shape of the airfoil based on variable parameters of the airfoil and flight conditions. …”
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Robust optimisation of electricity‐heating integrated energy system based on data‐driven PV interval estimation by Tao Xu, Zuozheng Liu, Lingxu Guo, He Meng, Rujing Wang, Mengchao Li, Shuqi Cai

“…Based on the proposed interval estimation, a refined PV uncertainty set can be established and adopted by robust optimal scheduling of EHIES utilising min‐max‐min algorithm. …”
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Proton therapy planning and image-guidance strategies within a randomized controlled trial for high-risk prostate cancer by Sofie Tilbæk, Ludvig Paul Muren, Anne Vestergaard, Liliana Stolarczyk, Heidi S. Rønde, Tanja S. Johansen, Jimmi Søndergaard, Morten Høyer, Jan Alsner, Lise Nørgaard Bentzen, Stine Elleberg Petersen

“…Proton plans are robustly optimized to ensure target coverage while keeping normal tissue doses as low as is reasonably achievable throughout the course of treatment. …”
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3D Underwater Uncooperative Target Tracking for a Time-Varying Non-Gaussian Environment by Distributed Passive Underwater Buoys by Xianghao Hou, Jianbo Zhou, Yixin Yang, Long Yang, Gang Qiao

“…Then, considering the unknown underwater environment will lead to time-varying non-Gaussian disturbances for both the target’s dynamics and the measurements, the robust optimal nonlinear estimator, namely the adaptive particle filter (APF), is proposed. …”
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Optimized Authentication System with High Security and Privacy by Uttam Sharma, Pradeep Tomar, Syed Sadaf Ali, Neetesh Saxena, Robin Singh Bhadoria

“…In this paper, first we have proposed a secure technique which is highly robust, optimized, and fast. Secondly, unlike most of the fingerprint biometrics apart from the minutiae point location and orientation, we have used the quality of minutiae points as well to construct an optimized template. …”
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p-Norm Broad Learning for Negative Emotion Classification in Social Networks by Guanghao Chen, Sancheng Peng, Rong Zeng, Zhongwang Hu, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Xiangyu Nie

“…To meet these challenges, in this paper, we propose a method for negative emotion classification utilizing a Robustly Optimized BERT Pretraining Approach (RoBERTa) and p-norm Broad Learning (p-BL). …”
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Robust Operation of Hybrid Solar–Wind Power Plant with Battery Energy Storage System by Mostafa Bakhtvar, Amer Al-Hinai

“…Using the duality theory, this paper proposes a unilevel mixed-integer linear programming rolling-approach-based robust optimal scheduling tool for DHRB that keeps BESS operation optimal should the worst price scenario occur. …”
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Robust Inverse Optimal Control for a Boost Converter by Mario Villegas-Ruvalcaba, Kelly Joel Gurubel-Tun, Alberto Coronado-Mendoza

“…Once these parameters have been found through heuristic or artificial intelligence methods, the new proposed methodology is capable of obtaining a robust optimal control scheme, without having to search for new parameters through other methods, since these are sometimes sensitive changes and many times the process of a new search is delayed. …”
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Diastereoselective Synthesis of the Borylated <span style="font-variant: small-caps">d</span>-Galactose Monosaccharide 3-Boronic-3-Deoxy-<span style="font-variant: small-caps">d</s... by Michela I. Simone

“…The hydroboration/borane trapping protocol was robustly optimized with BH₃.THF in 1,4-dioxane, followed by in-situ conversion of the inorganic borane intermediate to the organic boron product by the addition of DEA. …”
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Adaptive Dynamic Programming-Based Cross-Scale Control of a Hydraulic-Driven Flexible Robotic Manipulator by Xiaohua Wei, Jiangang Ye, Jianliang Xu, Zhiguo Tang

“…Hereafter, an adaptive dynamic programming trajectory tracking control law with a critic-only policy iteration algorithm is presented in the second slow timescale, while both robust optimal control (ROC) in the second first timescale and adaptive sliding mode control (ASMC) in the first fast timescale are also designed using the Lyapunov stability theory. …”
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Dynamic Power System Security Analysis Using a Hybrid PSO-APO Algorithm by K. Teeparthi, D. M. Vinod Kumar

“…The proposed HPSO-APO algorithm gives an efficient and robust optimal solution of DSCOPF problem compared to standard PSO and APO methods.…”
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Dimension learning based chimp optimizer for energy efficient wireless sensor networks by Preeti, Ranjit Kaur, Damanpreet Singh

“…Due to the complexity of this task we need more robustness optimizer algorithms which can tackle these types of tasks. …”
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Robust portfolio choice with limited attention by Yue Ma, Zhongfei Li

“…Under this setting, we derive the robust optimal strategy explicitly. In the presence of the attention and ambiguity aversion, the myopic term of the strategy, the hedging term of the strategy and the worst-case scenario are all changed. …”
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Overhead transmission line condition assessment based on intention classification and slot filling using optimized BERT model by Jiaxin Liu, Shuai Wang, Qianqian Zhu, Chenchen Zhao, Guogang Zhang, Zijian Zhao, Xuchen Lu

“…The results show that Robustly Optimized BERT Pre-Training Approach (RoBERTa) has achieved better effects on ICSF with the extraction accuracy of 92.22%. …”
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A Monolayer System for the Efficient Generation of Motor Neuron Progenitors and Functional Motor Neurons from Human Pluripotent Stem Cells by Alessandro Cutarelli, Vladimir A. Martínez-Rojas, Alice Tata, Ingrid Battistella, Daniela Rossi, Daniele Arosio, Carlo Musio, Luciano Conti

“…In this study, we present a robust, optimized monolayer procedure to rapidly convert hiPSCs into enriched populations of motor neuron progenitor cells (MNPCs) that can be further amplified to produce a large number of cells to cover many experimental needs. …”
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Comparative Analysis between Genetic Algorithm and Simulated Annealing-Based Frameworks for Optimal Sensor Placement and Structural Health Monitoring Purposes by Dana Nasr, Reina El Dahr, Joseph Assaad, Jamal Khatib

“…In this study, a robust optimal sensor placement framework that combines an optimization-based algorithm, the simulated annealing (SA) algorithm, and the ensemble Kalman filter (EnKF) are presented for structural health monitoring and system identification. …”
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Employing Siamese MaLSTM Model and ELMO Word Embedding for Quora Duplicate Questions Detection by Abdulaziz Altamimi, Muhammad Umer, Danial Hanif, Shtwai Alsubai, Tai-Hoon Kim, Imran Ashraf

“…To vectorize the questions and for model training, six types of word embeddings are implemented including GoogleNewsVector, FastText crawl, FastText crawl sub-words, bidirectional encoder representations from transformers (BERT), robustly optimized BERT pretraining approach (RoBERTa), and embeddings from language models (ELMO) containing 100 dimensions. …”
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Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case observational perturbations by He, Xiangkun, Huang, Wenhui, Lv, Chen

“…Additionally, the robust defender is developed to facilitate the safe RL agent to learn robust optimal policies that maximize the return while constraining the policy and cost perturbed by the adversarial attacker within specified bounds. …”
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