🤩 We are excited to share the news that /Big Data and Cognitive Computing/ has received an Impact Factor for 2022 of 3.7, ranking Q2 in three categories. ✨ Furthermore, BDCC has achieved an increased Journal Citation Indicator (#JCI) of 0.66. 💝 We are delighted with this positive end of the first half of 2023 for the journal, and we hope that you join us in celebrating. We would like to express our heartfelt gratitude to all authors, reviewers, and editors who have contributed to this achievement. We look forward to continuing to see the journal grow, with your support. 🔗 More information can be found here: https://lnkd.in/gB_TPN3U 📌 For further journal data: https://lnkd.in/gm6DDxmX 📬 To submit your work: https://lnkd.in/dWdq4v2C #MDPI #IF #openaccess #bdcc_mdpi
Big Data and Cognitive Computing MDPI
Book and Periodical Publishing
International, scientific, peer-reviewed, open access journal of big data and cognitive computing published by MDPI
About us
Aims Big Data and Cognitive Computing (ISSN 2504-2289) is an international, interdisciplinary scholarly scientific, and open access journal on big data and cognitive computing for computer science. In the past decade, the computer and information industry has experienced rapid changes in both platform scale and scope of applications. Computers, smart phones, clouds, social networks, and supercomputers demand not only high performance but also a high degree of machine intelligence. As a matter of fact, we are entering an era of big data and cognitive computing. In the big data era, successful cloud systems, web services and supercomputer centers must be designed to discover, store, process, learn, analyze, and predict from a massive amount of data. To face these new computing and communication changes, we must upgrade the clouds and the computing ecosystem with new capabilities, such as machine learning, IoT sensing, data analytics, and cognitive machines mimicking human intelligence. This journal blends together big-data theories with emerging technologies on smart clouds and exploring supercomputers with new applications Scope Big Data, Clouds and Internet of Things (IoT) Data Storage and Management Data Search and Mining Big Data Infrastructure and Systems Big Data Processing and Analytics Big Data Applications in Science, Internet, Finance, Telecommunictions, Business, Medicine, Healthcare, Government, Transportation, Industry, Manufacture, etc Big Data Integrity and Privacy Big Data Models, Algorithms, and Architectures Cloud Computing Techniques Cloud Services and Applications IoT Technologies and IoT Architecture IoT Sensing and Mobile Systems IoT Applications Cognitive Computing Machine Learning and its Applications in Medicine, Biology, Industry, Manufacturing, Security, Education, etc Deep Learning Artificial Intelligence Affect/Emotion/Personality/Mind Computing Cognitive Modeling Cognitive Informatics Cognitive Sensor-Networks Cognitive Robots
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https://www.mdpi.com/journal/BDCC
External link for Big Data and Cognitive Computing MDPI
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- Book and Periodical Publishing
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- 2-10 employees
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- Basel
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- Privately Held
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Updates
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Thanks for publishing with us! 💝
Hi everyone! I am excited to share with you that our new paper presenting the Shareable Data Publishing and Access Service for Living Labs developed in the framework of the VITALISE H2020 Project has just been published. The paper has been published in the Big Data and Cognitive Computing MDPI journal and you can access it in the following link: https://lnkd.in/dHmJ8ddU The presented service allows Living Labs to securely publish data in an internal, isolated node to make it accessible to external researchers. These researchers can then discover and download anonymized or synthetic data versions to develop, test, and debug their processing scripts locally. They can then request remote execution of the same algorithms against the real internal data, comparing outcomes and ensuring compliance with data protection regulations. Hope you enjoy it! I would like to thank all the coauthors involucred in the conceptualization and development of the service, and writing the manuscript: Evdokimos Konstantinidis, Gorka Epelde, Francisco J. Londono, Despoina Petsani, Michael Timoleon, Vicky Fiska, Lampros Mpaltadoros, Christoniki Maga-Nteve, Ilias Machairas and Panagiotis Bamidis. I would also like to acknowledge Andoni Beristain, Imanol Isasa Reinoso, Edwin D. and Naiara Aginako Bengoa for the help and support received during the writing of the manuscript. #Research #DigitalHealth #H2020VITALISE #LivingLabs #DataProtection #ResearchCollaboration #AcademicPublication #OpenAccessPublication #OpenAccess #DataPrivacy #AnonymisedData #SyntheticData #ShareableData #SecureDataPublishing #ShareableDataAccessService Vicomtech Aristotle University of Thessaloniki (AUTH)
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🌺 #callforreading "RSS-Based Wireless LAN Indoor Localization and Tracking Using Deep Architectures" by Muhammed Zahid Karakusak, Hasan Kıvrak, Hasan Fehmi Ates and Kemal Ozdemir, PhD, PEng #WirelessLANindoorpositioning #positiontracking #deeplearning #ConvolutionalNeuralNetworks https://lnkd.in/gvKNKu_8
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✨ New Research in May ✨ "Data Sorting Influence on Short Text Manual Labeling Quality for Hierarchical Classification" Mrs. Olga Narushynska, Prof. Dr. Vasyl Teslyuk, Dr. Anastasiya Doroshenko and Mr. Maksym Arzubov from Lviv Polytechnic National University #hierarchicalclassification #automateddatalabeling #datalabeling #dataannotation Access for Free: https://lnkd.in/gPVW5Gre
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📚New Research in May📚 "Generating Synthetic Sperm Whale Voice Data Using StyleGAN2-ADA" Dr. Ekaterina Kopets, Ms. Tatiana Shpilevaya, Mr. Oleg Vasilchenko, Dr. Artur Karimov and Prof. Denis Butusov #augmentationdata #WaveGAN #whalesignals #spermwhaleclicks #StyleGAN2ADA Access for Free: https://lnkd.in/g2xuEEnV
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🌺 New Research in May 🌺 "Automating Feature Extraction from Entity-Relation Models: Experimental Evaluation of Machine Learning Methods for Relational Learning" Mr. Boris Stanoev, Mr. Goran Mitrov, Prof. Dr. Andrea Kulakov Prof. Dr. Georgina Mirceva, Prof. Dr. Petre Lameski and Prof. Dr. Eftim Zdravevski from Ss. Cyril and Methodius University, Skopje, Macedonia #datamining #relationallearning #propositionalization #machinelearning #deeplearning Access for Free: https://lnkd.in/evZsPm-2
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📚New Research in May📚 "Two-Stage Method for Clothing Feature Detection" Ms. Xinwei Lyu, Dr. Xinjia Li, Ms. Yuexin Zhang and Prof. Dr. Wenlian Lu from 复旦大学 #facialrecognition #objectdetection #VGG16 #SVM Access for Free: https://lnkd.in/eKWGatPU
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📚Recent Article in Special Issue📚 "Cancer Detection Using a New Hybrid Method Based on Pattern Recognition in MicroRNAs Combining Particle Swarm Optimization Algorithm and Artificial Neural Network" Dr. Sepideh Mollaei, Dr. Stefano Cirillo and Dr. Giandomenico Solimando from Tarbiat Modares University and Università degli Studi di Salerno Special Issue: Big Data and Information Science Technology edited by Dr. Enrico Corradini, Dr. Francesco Cauteruccio, Dr. Luca Virgili #cancerdiagnosis #neuralnetwork #particleswarmoptimization #algorithm #microRNAs https://lnkd.in/eCA3mcBn
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📚New Research in May📚 "AI-Generated Text Detector for Arabic Language Using Encoder-Based Transformer Architecture" Mr. Hamed Alshammari, Dr. Ahmed El-Sayed and Prof. Khaled Elleithy from University of Bridgeport #AIdetector #transformer #AI #ChatGPT #NLP #AIRABIC Access for Free: https://lnkd.in/g3Jgr9-Q
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📚New Research in May📚 "Proposal of a Service Model for Blockchain-Based Security Tokens" Prof. Keundug Park and Prof. Heung Youl YOUM from Seoul University of Foreign Studies, Soonchunhyang University #blockchain #securitytoken #investment #exchange #trade #token Access for Free: https://lnkd.in/gqxd85-G
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