A Secure and Reliable Fog-Enabled Architecture Using Blockchain With Functional Biased Elliptic Curve Cryptography Algorithm for Healthcare Services by charu awasthi, Satya Prakash, Prashant Kumar Mishra

“…Fog computing is an emerging technology that extends the capability and efficiency of cloud computing networks by acting as a bridge among the cloud and the device. …”
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Self-review and feedback in virtual reality dialogues increase language markers of personal and emotional expression in an empathetic communication training experience by Anna C.M. Queiroz, Jeremy N. Bailenson, Kristen Pilner Blair, Daniel L. Schwartz, Candace Thille, Anthony D. Wagner

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Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning by Mofadal Alymani, Lenah Abdulaziz Almoqhem, Dhuha Ahmed Alabdulwahab, Abdulrahman Abdullah Alghamdi, Hussain Alshahrani, Khalid Raza

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Is GPT-4 fair? An empirical analysis in automatic short answer grading by Luiz Rodrigues, Cleon Xavier, Newarney Costa, Dragan Gasevic, Rafael Ferreira Mello

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Generating, retrieving persona and generating responses for long-term open-domain dialogue by Dohyun Cha, Dawon Lee, Jihie Kim

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Sentiment Analysis on BRImo Application Reviews Using IndoBERT by Asyer Aprinando Pratama Simarmata, Theopilus Bayu Sasongko

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An integrated approach to image quality: comparative analysis of bilinear and nearest neighbor interpolation by Wusat Ullah, Seher Ilyas, Hamza Naveed, Saalam Ali

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Listening to Patients: Advanced Arabic Aspect-Based Sentiment Analysis Using Transformer Models Towards Better Healthcare by Seba AlNasser, Sarab AlMuhaideb

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Discussion on techniques of data cleaning, user identification, and session identification phases of web usage mining from 2000 to 2022 by Mohammed Ali Mohammed, Hala Abdulsalam jasim, Ahmed Oday

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Efficient electromagnetic transient simulation for DFIG-based wind farms using fine-grained network partitioning by Jiale Yu, Haoran Zhao, Yibao Jiang, Bing Li, Linghan Meng, Futao Yang

“…By employing device-level fine-grained decoupling, the dimensionality of the admittance matrix for WF is effectively reduced, significantly decreasing the computational load. Additionally, this paper establishes a scalable computational framework by integrating multi-threaded parallel computation into the simulation process, which enhances efficiency further. …”
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Citizens’ E-participation through E-government services: a systematic literature review by Abderrahmane Benlahcene, Hapini Awang, Nur Suhaili Mansor, Osman Ghazali, Maslinda Mohd Nadzir, Fadhilah Mat Yamin, Isyaku Uba Haruna, Sarkin Tudu Shehu Malami

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Image dataset for classification of diseases in guava fruits and leavesMendeley Data by Montasir Rahman Shihab, Nafiu Islam Saim, Mayen Uddin Mojumdar, Dewan Mamun Raza, Shah Md Tanvir Siddiquee, Sheak Rashed Haider Noori, Narayan Ranjan Chakraborty

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dStream: An Online-Based Dynamic Operator-Level Query Mapping Scheme on Discrete CPU-GPU Architectures by Gyeonghwan Jung, Yeonwoo Jeong, Kyuli Park, Dongjae Lee, Hongsu Byun, Suyeon Lee, Sungyong Park

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Extending Embedding Representation by Incorporating Latent Relations by Gao Yang, Wang Wenbo, Liu Qian, Huang Heyan, Yuefeng Li

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Secure Parallel Image Cryptographic Hash Function Using a Novel 2D High-Randomness Hyperchaotic Map by Mingrui Qi, Dongdong Wang

“…For image data, the processing of each pixel using a cryptographic hash function is linear, and the existing cryptographic hash function lacks parallel processing of image width and height. …”
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Recent Advances in Multitone Microwave Frequency Measurement by Md Abu Zobair, Behzad Boroomandisorkhabi, Mina Esmaeelpour

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ChatgaiyyaAlap: A dataset for conversion from Chittagonian dialect to standard BanglaMendeley Data by Sinthia Chowdhury, Deawan Rakin Ahamed Remal, Syed Tangim Pasha, Ashraful Islam, Sheak Rashed Haider Noori

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SPBView: An extendable data analysis and combined visualization tool for saccadic eye-movement, pupil size, and blink detection by Marcel Ritter, Alexandra Hoffmann, Nikolaus Rauch, Pierre Sachse, Atbin Djamshidian, Matthias Harders, Philipp Ellmerer

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NLP modeling recommendations for restricted data availability in clinical settings by Fabián Villena, Felipe Bravo-Marquez, Jocelyn Dunstan

“…Abstract Background Clinical decision-making in healthcare often relies on unstructured text data, which can be challenging to analyze using traditional methods. Natural Language Processing (NLP) has emerged as a promising solution, but its application in clinical settings is hindered by restricted data availability and the need for domain-specific knowledge. …”
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ED-Swin Transformer: A Cassava Disease Classification Model Integrated with UAV Images by Jing Zhang, Hao Zhou, Kunyu Liu, Yuguang Xu

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