Emotional reactions towards vaccination during the emergence of the Omicron variant: Insights from twitter analysis in South Africa by Blessing Ogbuokiri, Ali Ahmadi, Nidhi Tripathi, Laleh Seyyed-Kalantari, Woldergebriel Assefa Woldegerima, Bruce Mellado, Jiahong Wu, James Orbinski, Ali Asgary, Jude Dzevela Kong

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Enhanced Forecasting of Equity Fund Returns Using Machine Learning by Fabiano Fernandes Bargos, Estaner Claro Romão

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Supporting secure and efficient collaborative health information exchange: A hybrid blockchain and ontology based approach by Ramandeep Kaur Sandhu, Manoj A Thomas, Kweku Muata Osei-Bryson

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Machine learning-based prediction of optimal antenatal care utilization among reproductive women in Nigeria by Jamilu Sani, Adeyemi Oluwagbemiga, Mohamed Mustaf Ahmed

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Attention-driven multi-model architecture for unbalanced network traffic intrusion detection via extreme gradient boosting by Oluwadamilare Harazeem Abdulganiyu, Taha Ait Tchakoucht, Ahmed El Hilali Alaoui, Yakub Kayode Saheed

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Unlocking the potential of up-conversion charging for rapid and high-resolution optical storage with phosphors by Lu Chen, Xueqing Liu, Feng Liu, Chuan Liao, Liangliang Zhang, Jiahua Zhang, Xiao-jun Wang, Yichun Liu

“…Abstract Current optical storage technologies utilizing phosphor media face challenges in achieving rapid and precise data recording with visible or infrared light, primarily due to the constraints of traditional charging techniques. …”
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Enhancing security in IIoT: RFID authentication protocol for edge computing and blockchain-enabled supply chain by Vikash Kumar, Santosh Kumar Das

“…By utilizing the real-time processing capabilities of edge computing and the decentralization and immutability of blockchain, the protocol enhances the security of data transmitted in the system. The proposed protocol utilizes lightweight cryptographic functions optimized for resource-constrained edge devices, ensuring secure authentication and data transmission without compromising scalability or efficiency. …”
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SSI-MedRx: A fraud-resilient healthcare system based on blockchain and SSI by Meriem Guerar, Mauro Migliardi, Enrico Russo, Djamel Khadraoui, Alessio Merlo

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Future Prediction for Tax Complaints to Turkish Ombudsman by Models from Polynomial Regression and Parametric Distribution by Mehmet Niyazi Çankaya, Murat Aydın

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Redactable blockchain with anonymity and multi-permission for instructional management by Xiuhua Lu, Jing Liu, Fengyin Li, Jiazheng Zou, Yuhao Hou

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Predicting cyberbullying victimisation in emerging markets and developing countries using the Global School-Based Health Survey by Paulo Ricardo Vieira Braga, Katie Rose Tyrrell

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Metal (II) Complexes Derived from Naphthofuran-2-carbohydrazide and Diacetylmonoxime Schiff Base: Synthesis, Spectroscopic, Electrochemical, and Biological Investigation by R. B. Sumathi, M. B. Halli

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Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

“…It is found that PGML models, especially physics-guided gradient boosting and random forest regression, improve the prediction accuracy when compared to their purely data-driven ML counterparts by combining the knowledge extracted from experimental data with the mechanics of the problem considered. …”
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Supervised machine learning for microbiomics: Bridging the gap between current and best practices by Natasha Katherine Dudek, Mariami Chakhvadze, Saba Kobakhidze, Omar Kantidze, Yuriy Gankin

“…An interactive tutorial on applying ML to microbiomics data accompanies the discussion, to help establish and reinforce best practices within the community.…”
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A review of neuro-symbolic AI integrating reasoning and learning for advanced cognitive systems by Uzma Nawaz, Mufti Anees-ur-Rahaman, Zubair Saeed

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Noninvasive archaeological site characterization: case studies from Fort Ellice 1 and 2, Canada by Scott Hamilton, Nick Kuncewicz

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Phenomenological–based strategy for the Gurson-Tvergaard-Needleman model parameters identification by R. Bensaada, A. Imad, T. Kanit, A. EL Moumen, M. Almansba, A. Saouab

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Shifted Hexpo activation function: An improved vanishing gradient mitigation activation function for disease classification by Joseph Otoo, Suleman Nasiru, Irene Dekomwine Angbing

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Ensemble automated approaches for producing high‐quality herbarium digital records by Robert P. Guralnick, Raphael LaFrance, Julie M. Allen, Michael W. Denslow

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Bayesian optimization with Gaussian-process-based active machine learning for improvement of geometric accuracy in projection multi-photon 3D printing by Jason E. Johnson, Ishat Raihan Jamil, Liang Pan, Guang Lin, Xianfan Xu

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