The role of IoT and XAI convergence in the prediction, explanation, and decision of customer perceived value (CPV) in SMEs: a theoretical framework and research proposition perspec... by Kwabena Abrokwah-Larbi

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Experiences at recovery community centers predict holistic recovery outcomes: a daily diary assessment of RCC helpfulness, meaningfulness, and recovery identity by Hannah B. Apsley, Joseph Lancaster, Wen Ren, Timothy Brick, H. H. Cleveland

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On the Ionosphere–Atmosphere–Lithosphere Coupling During the 9 November 2022 Italian Earthquake by Mirko Piersanti, Giulia D’Angelo, Dario Recchiuti, Fabio Lepreti, Paola Cusano, Enza De Lauro, Vincenzo Carbone, Pietro Ubertini, Mariarosaria Falanga

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A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study. by Ilaria Amodeo, Giorgio De Nunzio, Genny Raffaeli, Irene Borzani, Alice Griggio, Luana Conte, Francesco Macchini, Valentina Condò, Nicola Persico, Isabella Fabietti, Stefano Ghirardello, Maria Pierro, Benedetta Tafuri, Giuseppe Como, Donato Cascio, Mariarosa Colnaghi, Fabio Mosca, Giacomo Cavallaro

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Predicting Factors Affecting the Behavior of Healthcare Employees in the Use of Personal Protective Equipment During Epidemics Based on Godin et al’s Model: A Study in Iran by Milad Ahmadi Marzaleh, Peivand Bastani, Abolfazl Raeyat Mohtashami, Payam Farhadi, Saeed Ghanbari, Ramin Ravangard

“…This study aimed to predict factors affecting the healthcare employees’ behavior in the use of PPE at Shiraz University of Medical Sciences in Iran, based on Godin et al’s model. …”
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Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification by Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi

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Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods by Abhinav Kumar, Paul Rodrigues, A. K. Kareem, Tingneyuc Sekac, Sherzod Abdullaev, Jasgurpreet Singh Chohan, R. Manjunatha, Kumar Rethik, Shivakrishna Dasi, Mahmood Kiani

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NEUROlogical Prognosis After Cardiac Arrest in Kids (NEUROPACK) study: protocol for a prospective multicentre clinical prediction model derivation and validation study in children... by Elizabeth S Draper, John Pappachan, Kent Thorburn, David Inwald, Richard Feltbower, Buvana Dwarakanathan, Patrick Davies, Kate Penny-Thomas, James Martin, Rum Thomas, Kevin P Morris, Roger Parslow, Timothy Thiruchelvam, Sophie Skellett, Hari Krishnan Kanthimathinathan, Victoria Hiley, Peter Barry, Sian Cooper, Rohit Saxena, Cormac Breatnach, Barnaby Robert Scholefield, Sarah Evans, Mirjam Kool, Alice J Sitch, Fang Smith, Yamuna Thiru, Richard Levin, Rachel Agbecko, James Weitz, Akash Deep, Sandra Gala-Peralta, Milly Lo, Rachael Barber, Stewart Reid, Siva Oruganti, Kalai Sadasivam, Mark Bebbington

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Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity by Eugenia Papadaki, Ioannis Kakkos, Panagiotis Vlamos, Ourania Petropoulou, Stavros T. Miloulis, Stergios Palamas, Aristidis G. Vrahatis

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Bankruptcy forecasting in enterprises and its security using hybrid deep learning models by Akshat Gaurav, Brij B. Gupta, Shavi Bansal, Konstantinos E. Psannis

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Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks by ZhiGuo Zhu

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A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planning by Jiayi Zhang, Shensheng Chen, Tmader Alballa, Laila A. AL-Essa, Haifa Alqahtani, Hamiden Abd El-Wahed Khalifa

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AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS) by Al-Juboori Haider, Rizvi Syed Zuhaib H., bin Roslan Muhammad S., Liew Josephine Y.

“…This paper presents LIBS analytical data used to qualitatively assess soil constituents as a case study.…”
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Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder by Ruimin Ma, Ruitao Xie, Yanlin Wang, Jintao Meng, Yanjie Wei, Yunpeng Cai, Wenhui Xi, Yi Pan

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A Survey of Matrix Completion Methods for Recommendation Systems by Andy Ramlatchan, Mengyun Yang, Quan Liu, Min Li, Jianxin Wang, Yaohang Li

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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

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Toward Intelligent Financial Advisors for Identifying Potential Clients: A Multitask Perspective by Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu

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Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks by Natarajan Yuvaraj, Kannan Srihari, Selvaraj Chandragandhi, Rajan Arshath Raja, Gaurav Dhiman, Amandeep Kaur

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An Improved Hybrid Collaborative Filtering Algorithm Based on Tags and Time Factor by Chunxia Zhang, Ming Yang, Jing Lv, Wanqi Yang

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DeepRetention: A Deep Learning Approach for Intron Retention Detection by Zhenpeng Wu, Jiantao Zheng, Jiashu Liu, Cuixiang Lin, Hong-Dong Li

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