Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction by Chuanting Zhang, Ke-Ke Shang, Jingping Qiao

“…Link prediction is a fundamental problem of data science, which usually calls for unfolding the mechanisms that govern the micro-dynamics of networks. …”
Get full text

Outcomes in children with vesicoureteral reflux receiving antibiotic prophylaxis by Madeline G Tompkins, Michelle Kussin, John C Christenson, LaKeisha Boyd, Kiet Tat, Jack G Schneider, Rachel T Han

Get full text

Nighttime Cough Characteristics in Chronic Obstructive Pulmonary Disease Patients by Albertus C. den Brinker, Okke Ouweltjes, Ronald Rietman, Susannah Thackray-Nocera, Michael G. Crooks, Alyn H. Morice

Get full text

Learning From High-Cardinality Categorical Features in Deep Neural Networks by Mustafa Murat Arat

“…Feature engineering typically practices to tackle the high cardinality issues with data-cleaning techniques which they are time-consuming and often needs human intervention and domain expertise which are major costs in data science projects The most common methods of transform categorical variables is one-hot encoding and target encoding. …”
Get full text

Towards Exploration of Social in Social Internet of Vehicles Using an Agent-Based Simulation by Kashif Zia, Arshad Muhammad, Abbas Khalid, Ahmad Din, Alois Ferscha

“…However, most of the researches related to connectivity and interaction are constrained to physics of signaling and data science (semantics/contents), respectively. Very rapidly, the meanings of these factors are changing due to evolution of technologies from physical to social domain. …”
Get full text

Material circularity and environmental quality in the EU: what causes what and where? by Andrew Adewale Alola, Oktay Özkan, Gizem Uzuner

Get full text

Optimal Operation of Distributed Generations in Four-Wire Unbalanced Distribution Systems considering Different Models of Loads by Xiuling Jin, Zohre Moradi, Rohollah Rashidi

Get full text

Insulator Defect Recognition Based on Vision Big-Model Transfer Learning and Stochastic Configuration Network by Siyuan Liu, Yihua Ma, Zedong Zheng, Xinfu Pang, Bingyou Li

Get full text

Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization by Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma

Get full text

Causality-driven candidate identification for reliable DNA methylation biomarker discovery by Xinlu Tang, Rui Guo, Zhanfeng Mo, Wenli Fu, Xiaohua Qian

Get full text

Relationship between Periodontitis and Glaucoma: A Cross-Sectional Study by Soo Hwan Byun, Dae Myoung Yoo, Minwook Chang, Hyo Geun Choi, Seok Jin Hong

Get full text

Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics by Abdul Razzaq, Touqeer Abbas, Sarfraz Hashim, Salman Qadri, Imran Mumtaz, Najia Saher, Muzammil Ul-Rehman, Faisal Shahzad, Syed Ali Nawaz

Get full text

Big data analytics and AI as success factors for online video streaming platforms by Muhammad Arshad, Muhammad Arshad, Choo Wou Onn, Ashfaq Ahmad, Goabaone Mogwe, Goabaone Mogwe

Get full text

Opportunities of Artificial Intelligence and Machine Learning in the Food Industry by Indrajeet Kumar, Jyoti Rawat, Noor Mohd, Shahnawaz Husain

“…Artificial intelligence with data science can improve the quality of restaurants, cafes, online delivery food chains, hotels, and food outlets by increasing production utilizing different fitting algorithms for sales prediction. …”
Get full text

Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint by Stanislas Demuth, Jérôme De Sèze, Gilles Edan, Tjalf Ziemssen, Françoise Simon, Pierre-Antoine Gourraud

“…The concept of a medical “digital twin” has recently become popular to designate digital representations of patients as a support for a wide range of data science applications. However, the concept is ambiguous when it comes to practical implementations. …”
Get full text

The HFA‐PEFF score identifies ‘early‐HFpEF’ phenogroups associated with distinct biomarker profiles by Michiel T.H.M. Henkens, Anne‐Mar vanOmmen, Sharon Remmelzwaal, Gideon B. Valstar, Ping Wang, Job A.J. Verdonschot, Mark R. Hazebroek, Leonard Hofstra, Vanessa P.M. vanEmpel, Joline W.J. Beulens, Hester M. denRuijter, Stephane R.B. Heymans

Get full text

Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

Get full text

End-to-End Information Extraction from Courier Order Images Using a Neural Network Model with Feature Enhancement by Wei Shen, Han Li, Youbo Jin, Chase Q. Wu

Get full text

CSTN: A cross-region crop mapping method integrating self-training and contrastive domain adaptation by Shuwen Peng, Liqiang Zhang, Rongchang Xie, Ying Qu

Get full text

A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT by Innocent Boakye Ababio, Jan Bieniek, Mohamed Rahouti, Thaier Hayajneh, Mohammed Aledhari, Dinesh C. Verma, Abdellah Chehri

Get full text