Towards faster plan adaptation for proton arc therapy using initial treatment plan information by Benjamin Roberfroid, Margerie Huet-Dastarac, Elena Borderías-Villarroel, Rodin Koffeing, John A. Lee, Ana M. Barragán-Montero, Edmond Sterpin

“…PAT plans were generated with two different methods on the repeated CT: reference, created de novo, and smart-adapted, generated with the proposed adaptive workflow. Robust optimization was performed for all plans. Results: Smart-adapted plans achieved similar mean dose to organs at risk as the reference: the largest median increase of mean dose was 1.9 Gy to the mandible; the median of maximum dose to spinal cord was 0.5 Gy lower for the smart-adapted plans. …”
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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…We employ a Genetic Algorithm (GA) to optimize portfolios under both criteria. GA is a robust optimization technique that can effectively handle complex problems with multiple constraints. …”
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Characterization and Enhancement of Flight Planning Predictability under Wind Uncertainty by Javier García-Heras, Manuel Soler, Daniel González-Arribas

“…A novel study is presented aiming at characterizing and illustrating potential enhancements in flight planning predictability due to the effects of wind uncertainty. A robust optimal control methodology is employed to calculate robust flight plans. …”
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Group Decision-Making Approach without Weighted Aggregation Operators by Min Jiang, Zhiqing Meng, Rui Shen

“…Moreover, it is proven that the s⁎-optimal concession equilibrium solution is equivalent to the robust optimal solution of the group weight aggregation and the optimal solution under the worst weighted aggregation operators.…”
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Robust Inventory Financing Model with Partial Information by Yong Wang, Jixiang Zhou, Hailei Sun, Lin Jiang

“…We show that the approach used in this paper is tractable, and we provide an explicit expression for the robust optimal policy. We then use numerical examples to compare the firm’s losses under two demand information cases with those occurring under demand certainty. …”
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Robustness of Big Language Modeling in Finance by Yao Mohan

“…Future research should be specific in the financial domain for further adversarial training and robustness optimization of big language models in the financial domain.…”
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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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Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model by Ram Chandra Bhushan, Rakesh Kumar Donthi, Yojitha Chilukuri, Ulligaddala Srinivasarao, Polisetty Swetha

“…The pre-processed text was fed into a feature extraction model like the Robustly Optimized BERT –Whole Word Masking model. This model provides word embeddings with semantic information. …”
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Understanding Citizens’ Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI by Ryuichi Saito, Sho Tsugawa

“…ResultsIn the evaluation of models, GPT-3.5 Turbo with fine-tuning outperformed GPT-3.5 Turbo without fine-tuning and Robustly Optimized Bidirectional Encoder Representations from Transformers Pretraining Approach (RoBERTa)–large with fine-tuning, demonstrating significant accuracy (0.80), recall (0.79), precision (0.79), and F1-score (0.79). …”
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