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ORCIDBig Data and Cognitive Computing, Volume 5
Volume 5, Number 1, March 2021
- Omar Alghushairy
, Raed Alsini, Terence Soule, Xiaogang Ma:
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams. 1 - Gianni Fenu, Francesca Maridina Malloci:
Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms. 2 - Acknowledgment to Reviewers of Big Data and Cognitive Computing in 2020. 3
- Katarzyna A. Tarnowska, Zbigniew W. Ras:
NLP-Based Customer Loyalty Improvement Recommender System (CLIRS2). 4 - Ninghan Chen, Zhiqiang Zhong, Jun Pang:
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. 5 - Suriya Priya R. Asaithambi, Sitalakshmi Venkatraman, Ramanathan Venkatraman:
Big Data and Personalisation for Non-Intrusive Smart Home Automation. 6 - J. Gerard Wolff:
The Potential of the SP System in Machine Learning and Data Analysis for Image Processing. 7 - Krasimira Borislavova Ivanova:
NLA-Bit: A Basic Structure for Storing Big Data with Complexity O(1). 8 - Qiang Fang, Clemente Ibarra-Castanedo, Xavier Maldague:
Automatic Defects Segmentation and Identification by Deep Learning Algorithm with Pulsed Thermography: Synthetic and Experimental Data. 9 - Bernard Ijesunor Akhigbe, Kamran Munir, Olúgbénga O. Akinadé, Lukman Adéwálé Àkànbí, Lukumon O. Oyedele:
IoT Technologies for Livestock Management: A Review of Present Status, Opportunities, and Future Trends. 10 - Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni:
A Network-Based Analysis of a Worksite Canteen Dataset. 11 - Otmane Azeroual, Renaud Fabre:
Processing Big Data with Apache Hadoop in the Current Challenging Era of COVID-19. 12 - Mark Burgin, Rao Mikkilineni:
From data Processing to Knowledge Processing: Working with Operational Schemas by Autopoietic Machines. 13 - Christos Makris, Georgios Pispirigos:
Stacked Community Prediction: A Distributed Stacking-Based Community Extraction Methodology for Large Scale Social Networks. 14 - Dimitris Koryzis, Apostolos Dalas, Dimitris Spiliotopoulos, Fotios Fitsilis:
ParlTech: Transformation Framework for the Digital Parliament. 15
Volume 5, Number 2, June 2021
- Luís Oliveira, Rodrigo Rocha Silva, Jorge Bernardino:
Wine Ontology Influence in a Recommendation System. 16 - Vasilis Kopsachilis, Michail Vaitis:
GeoLOD: A Spatial Linked Data Catalog and Recommender. 17 - Stefan Strauß:
Deep Automation Bias: How to Tackle a Wicked Problem of AI? 18 - Alina Raphael, Zvy Dubinsky, Nathan S. Netanyahu, David Iluz:
Deep Neural Network Analysis for Environmental Study of Coral Reefs in the Gulf of Eilat (Aqaba). 19 - Marçal Mora Cantallops, Salvador Sánchez-Alonso, Elena García-Barriocanal, Miguel-Ángel Sicilia:
Traceability for Trustworthy AI: A Review of Models and Tools. 20 - Imen Chebbi, Nedra Mellouli, Imed Riadh Farah, Myriam Lamolle:
Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks. 21 - Chiara Binelli:
Estimating Causal Effects When the Treatment Affects All Subjects Simultaneously: An Application. 22 - Talal Alharbi, Asifa Tassaddiq:
Assessment of Cybersecurity Awareness among Students of Majmaah University. 23 - Otmane Azeroual, Meena Jha:
Without Data Quality, There Is No Data Migration. 24 - Karin Nilsson, Lisa Palmqvist, Magnus Ivarsson, Anna Levén, Henrik Danielsson, Marie Annell, Daniel Schöld, Michaela Socher:
Structural Differences of the Semantic Network in Adolescents with Intellectual Disability. 25 - Sílvia C. Fernandes:
Which Way to Cope with COVID-19 Challenges? Contributions of the IoT for Smart City Projects. 26 - Dustin Mink, Jeffrey Todd McDonald, Sikha Bagui, William Bradley Glisson, Jordan Shropshire, Ryan Benton, Samuel H. Russ:
Near-Real-Time IDS for the U.S. FAA's NextGen ADS-B. 27
Volume 5, Number 3, September 2021
- Hossein Hassani, Xu Huang, Steve MacFeely, Mohammad Reza Entezarian:
Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance. 28 - Alec G. Moore, Ryan P. McMahan, Nicholas Ruozzi:
Exploration of Feature Representations for Predicting Learning and Retention Outcomes in a VR Training Scenario. 29 - Dianadewi Riswantini, Ekasari Nugraheni, Andria Arisal, Purnomo Husnul Khotimah, Devi Munandar, Wiwin Suwarningsih:
Big Data Research in Fighting COVID-19: Contributions and Techniques. 30 - Keundug Park, Heung-Youl Youm:
Proposal for Customer Identification Service Model Based on Distributed Ledger Technology to Transfer Virtual Assets. 31 - Peter R. J. Trim, Yang-Im Lee:
The Global Cyber Security Model: Counteracting Cyber Attacks through a Resilient Partnership Arrangement. 32 - Stefan Wagenpfeil, Binh Vu, Paul Mc Kevitt, Matthias L. Hemmje:
Fast and Effective Retrieval for Large Multimedia Collections. 33 - Marco Fisichella, Andrea Ceroni:
Event Detection in Wikipedia Edit History Improved by Documents Web Based Automatic Assessment. 34 - Mourad Jbene, Smail Tigani, Rachid Saadane, Abdellah Chehri:
Deep Neural Network and Boosting Based Hybrid Quality Ranking for e-Commerce Product Search. 35 - Gabriella Kicska, Attila Kiss:
Comparing Swarm Intelligence Algorithms for Dimension Reduction in Machine Learning. 36 - Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Kateryna Melnykova, Khrystyna Lishchuk-Yakymovych:
Personalized Data Analysis Approach for Assessing Necessary Hospital Bed-Days Built on Condition Space and Hierarchical Predictor. 37 - Wei Li, Maolin Tang:
The Optimization Strategies on Clarification of the Misconceptions of Big Data Processing in Dynamic and Opportunistic Environments. 38 - Bhargav Prakash, Gautam Kumar Baboo, Veeky Baths:
A Novel Approach to Learning Models on EEG Data Using Graph Theory Features - A Comparative Study. 39 - Eyal Klang, Matthew A. Levin, Shelly Soffer, Alexis Zebrowski, Benjamin S. Glicksberg, Brendan G. Carr, Jolion Mcgreevy, David L. Reich, Robert Freeman:
A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality. 40 - M. Supriya, Vijay Kumar Chattu:
A Review of Artificial Intelligence, Big Data, and Blockchain Technology Applications in Medicine and Global Health. 41 - Nirmalya Thakur, Chia Y. Han:
Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments. 42 - Sheetal Kusal, Shruti Patil, Ketan Kotecha, Rajanikanth Aluvalu, Varadarajan Vijayakumar:
AI Based Emotion Detection for Textual Big Data: Techniques and Contribution. 43 - Darío Rodríguez-García, Vicente García-Díaz, Cristian González García:
CrowDSL: Platform for Incidents Management in a Smart City Context. 44 - Sotiris Leventis, Fotios Fitsilis, Vasileios Anastasiou:
Diversification of Legislation Editing Open Software (LEOS) Using Software Agents - Transforming Parliamentary Control of the Hellenic Parliament into Big Open Legal Data. 45
Volume 5, Number 4, 2021
- Veronica S. Moertini, Mariskha T. Adithia:
Uncovering Active Communities from Directed Graphs on Distributed Spark Frameworks, Case Study: Twitter Data. 46 - Michael S. Vitevitch, Leo Niehorster-Cook, Sasha Niehorster-Cook:
Exploring How Phonotactic Knowledge Can Be Represented in Cognitive Networks. 47 - Damianos P. Sakas, Nikolaos Th. Giannakopoulos:
Big Data Contribution in Desktop and Mobile Devices Comparison, Regarding Airlines' Digital Brand Name Effect. 48 - Aminollah Khormali, Jiann-Shiun Yuan:
ADD: Attention-Based DeepFake Detection Approach. 49 - Rafik Gouiaa, Moulay A. Akhloufi, Mozhdeh Shahbazi:
Advances in Convolution Neural Networks Based Crowd Counting and Density Estimation. 50 - Easwaramoorthy Rangaswamy, Girija Periyasamy, Nishad Nawaz:
A Study on Singapore's Ageing Population in the Context of Eldercare Initiatives Using Machine Learning Algorithms. 51 - Huseyn Huseynov, Tarek N. Saadawi, Kenichi Kourai:
Hardening the Security of Multi-Access Edge Computing through Bio-Inspired VM Introspection. 52 - Sonain Jamil, MuhibUr Rahman, Amir Haider:
Bag of Features (BoF) Based Deep Learning Framework for Bleached Corals Detection. 53 - Usman Alhaji Abdurrahman, Shih-Ching Yeh, Yunying Wong, Liang Wei:
Effects of Neuro-Cognitive Load on Learning Transfer Using a Virtual Reality-Based Driving System. 54 - Anastasiia Kolevatova, Michael A. Riegler, Francesco Cherubini, Xiangping Hu, Hugo Lewi Hammer:
Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence. 55 - Yixue Hao, Yiming Miao, Min Chen, Hamid Gharavi, Victor C. M. Leung:
6G Cognitive Information Theory: A Mailbox Perspective. 56 - Yusuf Sermet, Ibrahim Demir:
A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health. 57 - Saman Fattahi, Takuya Okamoto, A. M. M. Sharifu Ura:
Preparing Datasets of Surface Roughness for Constructing Big Data from the Context of Smart Manufacturing and Cognitive Computing. 58 - Ahmed Aliwy, Ayad R. Abbas, Ahmed Alkhayyat:
NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Entity Recognition and Word Sense. 59 - Jasmir Jasmir, Siti Nurmaini, Bambang Tutuko:
Fine-Grained Algorithm for Improving KNN Computational Performance on Clinical Trials Text Classification. 60 - Younis Al-Anqoudi, Abdullah Al-Hamdani, Mohammed Al-Badawi, Rachid Hedjam:
Using Machine Learning in Business Process Re-Engineering. 61 - Hanna Svennevik, Michael A. Riegler, Steven Hicks, Trude Storelvmo, Hugo Lewi Hammer:
Prediction of Cloud Fractional Cover Using Machine Learning. 62 - Pilar Rosado, Rubén Fernández, Ferran Reverter:
GANs and Artificial Facial Expressions in Synthetic Portraits. 63 - Catarina Félix de Oliveira, Sónia Rolland Sobral, Maria João Ferreira, Fernando Moreira:
How Does Learning Analytics Contribute to Prevent Students' Dropout in Higher Education: A Systematic Literature Review. 64 - Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak:
An Enhanced Parallelisation Model for Performance Prediction of Apache Spark on a Multinode Hadoop Cluster. 65 - Khaled Al Rabaiei, Fady Alnajjar, Amir Ahmad:
Kano Model Integration with Data Mining to Predict Customer Satisfaction. 66 - Shirin Dora, Nikola K. Kasabov:
Spiking Neural Networks for Computational Intelligence: An Overview. 67 - Mahdi Nasrollahi, Javaneh Ramezani, Mahmoud Sadraei:
The Impact of Big Data Adoption on SMEs' Performance. 68 - Jordi Morales-i-Gras, Julen Orbegozo-Terradillos, Ainara Larrondo-Ureta, Simón Peña-Fernández:
Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter. 69 - Oz Pirvandy, Moti Fridman, Gur Yaari:
Gambling Strategies and Prize-Pricing Recommendation in Sports Multi-Bets. 70 - Balqis Albreiki, Tetiana Habuza, Zaid Shuqfa, Mohamed Adel Serhani, Nazar Zaki, Saad Harous:
Customized Rule-Based Model to Identify At-Risk Students and Propose Rational Remedial Actions. 71 - Maya Hilda Lestari Louk, Bayu Adhi Tama:
Exploring Ensemble-Based Class Imbalance Learners for Intrusion Detection in Industrial Control Networks. 72 - Mohamed Chetoui, Moulay A. Akhloufi, Bardia Yousefi, El Mostafa Bouattane:
Explainable COVID-19 Detection on Chest X-rays Using an End-to-End Deep Convolutional Neural Network Architecture. 73 - Ervin Gubin Moung, Chong Joon Hou, Maisarah Mohd Sufian, Mohd. Hanafi Ahmad Hijazi, Jamal Ahmad Dargham, Sigeru Omatu:
Fusion of Moment Invariant Method and Deep Learning Algorithm for COVID-19 Classification. 74 - Aulia Fadli, Wisnu Ananta Kusuma, Annisa, Irmanida Batubara, Rudi Heryanto:
Screening of Potential Indonesia Herbal Compounds Based on Multi-Label Classification for 2019 Coronavirus Disease. 75 - Satoshi Yazawa, Kikue Sakaguchi, Kazuo Hiraki:
GO-E-MON: A New Online Platform for Decentralized Cognitive Science. 76 - Asra Fatima, Ying Li, Thomas Trenholm Hills, Massimo Stella:
DASentimental: Detecting Depression, Anxiety, and Stress in Texts via Emotional Recall, Cognitive Networks, and Machine Learning. 77 - Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, Roohallah Alizadehsani:
Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method. 78 - Radha Nila Meghanathan, Patrick Ruediger-Flore, Felix Hekele, Jan Spilski, Achim Ebert, Thomas Lachmann:
Spatial Sound in a 3D Virtual Environment: All Bark and No Bite? 79 - Sotiris Angelis, Konstantinos Kotis, Dimitris Spiliotopoulos:
Semantic Trajectory Analytics and Recommender Systems in Cultural Spaces. 80 - Sónia Rolland Sobral, Catarina Félix de Oliveira:
Clustering Algorithm to Measure Student Assessment Accuracy: A Double Study. 81
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