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ORCIDBig Data and Cognitive Computing, Volume 8
Volume 8, Number 1, January 2024
- Eleni Vlachou
, Aristeidis Karras, Christos N. Karras, Leonidas Theodorakopoulos, Constantinos Halkiopoulos, Spyros Sioutas:
Distributed Bayesian Inference for Large-Scale IoT Systems. 1 - Matthias Wölfel, Mehrnoush Barani Shirzad, Andreas Reich, Katharina Anderer:
Knowledge-Based and Generative-AI-Driven Pedagogical Conversational Agents: A Comparative Study of Grice's Cooperative Principles and Trust. 2 - Marcos Orellana, Patricio Santiago García, Guillermo Daniel Ramon, Jorge Luis Zambrano-Martinez, Andrés Patiño-León, María Verónica Serrano, Priscila Cedillo:
Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model. 3 - Yiming Chen, Shuang Liang:
BNMI-DINA: A Bayesian Cognitive Diagnosis Model for Enhanced Personalized Learning. 4 - Hanan M. Alghamdi:
Unveiling Sentiments: A Comprehensive Analysis of Arabic Hajj-Related Tweets from 2017-2022 Utilizing Advanced AI Models. 5 - Abdul Rehman Khalid, Nsikak Pius Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor, John Adejoh:
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach. 6 - Reenu Mohandas, Mark Southern, Eoin O'Connell, Martin J. Hayes:
A Survey of Incremental Deep Learning for Defect Detection in Manufacturing. 7 - William Eduardo Villegas-Ch., Angel Jaramillo-Alcázar, Sergio Luján-Mora:
Evaluating the Robustness of Deep Learning Models against Adversarial Attacks: An Analysis with FGSM, PGD and CW. 8 - Christine Dewi, William Eric Manongga, Hendry, Evangs Mailoa, Kristoko Dwi Hartomo:
Deep Learning and YOLOv8 Utilized in an Accurate Face Mask Detection System. 9 - Ivan Izonin, Tetiana Hovorushchenko, Shishir Kumar Shandilya:
Quality and Security of Critical Infrastructure Systems. 10
Volume 8, Number 2, February 2024
- Thoralf Reis, Lukas Dumberger, Sebastian Bruchhaus, Thomas Krause, Verena Schreyer, Marco X. Bornschlegl, Matthias L. Hemmje:
AI-Based User Empowerment for Empirical Social Research. 11 - Anik Baul, Gobinda Chandra Sarker, Prokash Sikder, Utpal Mozumder, Ahmed Abdelgawad:
Data-Driven Short-Term Load Forecasting for Multiple Locations: An Integrated Approach. 12 - Claudia Angelica Rivera-Romero, Jorge Ulises Muñoz-Minjares, Carlos Lastre-Dominguez, Misael Lopez-Ramirez:
Optimal Image Characterization for In-Bed Posture Classification by Using SVM Algorithm. 13 - Chao He, Xinghua Zhang, Dongqing Song, Yingshan Shen, Chengjie Mao, Huosheng Wen, Dingju Zhu, Lihua Cai:
Mixture of Attention Variants for Modal Fusion in Multi-Modal Sentiment Analysis. 14 - Jihong Wang, Zhuo Wang, Lidong Zhang:
A Simultaneous Wireless Information and Power Transfer-Based Multi-Hop Uneven Clustering Routing Protocol for EH-Cognitive Radio Sensor Networks. 15 - Maryam Badar, Marco Fisichella:
Fair-CMNB: Advancing Fairness-Aware Stream Learning with Naïve Bayes and Multi-Objective Optimization. 16 - Marwa Salah Farhan, Amira Youssef, Laila Abdel-Hamid:
A Model for Enhancing Unstructured Big Data Warehouse Execution Time. 17 - Ouarda Zedadra, Antonio Guerrieri, Hamid Seridi, Aymen Benzaid, Giancarlo Fortino:
Inverse Firefly-Based Search Algorithms for Multi-Target Search Problem. 18
Volume 8, Number 3, March 2024
- Mohammed Suleiman Mohammed Rudwan, Jean Vincent Fonou Dombeu:
A Novel Algorithm for Multi-Criteria Ontology Merging through Iterative Update of RDF Graph. 19 - Robert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabo, András Hajdu:
A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews. 20 - Ishaani Priyadarshini:
Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning. 21 - Roman B. Rybka, Yury Davydov, Danila Vlasov, Alexey Serenko, Alexander G. Sboev, Vyacheslav Ilyin:
Comparison of Bagging and Sparcity Methods for Connectivity Reduction in Spiking Neural Networks with Memristive Plasticity. 22 - Abdullah F. Al-Aboosi, Aldo-Jonathan Munoz-Vazquez, Fadhil Y. Al-Aboosi, Mahmoud M. El-Halwagi, Wei Zhan:
Solar and Wind Data Recognition: Fourier Regression for Robust Recovery. 23 - Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova, Andrey Chechulin:
Experimental Evaluation: Can Humans Recognise Social Media Bots? 24 - Alvaro A. Teran-Quezada, Victor Lopez Cabrera, José Carlos Rangel, Javier E. Sánchez-Galán:
Sign-to-Text Translation from Panamanian Sign Language to Spanish in Continuous Capture Mode with Deep Neural Networks. 25 - Igor Calzada:
Democratic Erosion of Data-Opolies: Decentralized Web3 Technological Paradigm Shift Amidst AI Disruption. 26 - Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios:
Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis. 27 - Niwan Wattanakitrungroj, Pimchanok Wijitkajee, Saichon Jaiyen, Sunisa Sathapornvajana, Sasiporn Tongman:
Enhancing Supervised Model Performance in Credit Risk Classification Using Sampling Strategies and Feature Ranking. 28 - Wei-Ling Hsu, Yi-Jheng Chang, Lin Mou, Juan-Wen Huang, Hsin-Lung Liu:
The Distribution and Accessibility of Elements of Tourism in Historic and Cultural Cities. 29 - Keundug Park, Heung-Youl Youm:
Proposal of a Service Model for Blockchain-Based Security Tokens. 30 - Dhiaa Musleh, Ali Alkhwaja, Ibrahim Alkhwaja, Mohammed Alghamdi, Hussam Abahussain, Mohammed Albugami, Faisal Alfawaz, Said El-Ashker, Mohammed Al-Hariri:
Machine Learning Approaches for Predicting Risk of Cardiometabolic Disease among University Students. 31 - Hamed Alshammari, Ahmed ElSayed, Khaled Elleithy:
AI-Generated Text Detector for Arabic Language Using Encoder-Based Transformer Architecture. 32 - Sepideh Molaei, Stefano Cirillo, Giandomenico Solimando:
Cancer Detection Using a New Hybrid Method Based on Pattern Recognition in MicroRNAs Combining Particle Swarm Optimization Algorithm and Artificial Neural Network. 33
Volume 8, Number 4, April 2024
- Enrique González-Núñez, Luis A. Trejo, Michael Kampouridis:
A Comparative Study for Stock Market Forecast Based on a New Machine Learning Model. 34 - Xinwei Lyu, Xinjia Li, Yuexin Zhang, Wenlian Lu:
Two-Stage Method for Clothing Feature Detection. 35 - Tamim M. Al-Hasan, Aya Nabil Sayed, Faycal Bensaali, Yassine Himeur, Iraklis Varlamis, George Dimitrakopoulos:
From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions. 36 - Kenneth David Strang:
Cybercrime Risk Found in Employee Behavior Big Data Using Semi-Supervised Machine Learning with Personality Theories. 37 - Lowri Williams, Eirini Anthi, Pete Burnap:
Comparing Hierarchical Approaches to Enhance Supervised Emotive Text Classification. 38 - Boris Stanoev, Goran Mitrov, Andrea Kulakov, Georgina Mirceva, Petre Lameski, Eftim Zdravevski:
Automating Feature Extraction from Entity-Relation Models: Experimental Evaluation of Machine Learning Methods for Relational Learning. 39 - Ekaterina E. Kopets, Tatiana Shpilevaya, Oleg Vasilchenko, Artur I. Karimov, Denis N. Butusov:
Generating Synthetic Sperm Whale Voice Data Using StyleGAN2-ADA. 40 - Olga Narushynska, Vasyl Teslyuk, Anastasiya Doroshenko, Maksym Arzubov:
Data Sorting Influence on Short Text Manual Labeling Quality for Hierarchical Classification. 41 - Divya Garikapati, Sneha Sudhir Shetiya:
Autonomous Vehicles: Evolution of Artificial Intelligence and the Current Industry Landscape. 42 - Jinshuo Liu, Lu Yang:
Knowledge-Enhanced Prompt Learning for Few-Shot Text Classification. 43
Volume 8, Number 5, 2024
- Lowri Williams, Eirini Anthi, Laura Arman, Pete Burnap:
Topic Modelling: Going beyond Token Outputs. 44 - Feng Xia, Jiafu Wan:
Digital Twins for Discrete Manufacturing Lines: A Review. 45 - Xiaotong Luo, Yongjian Chen, Shengda Zhuo, Jie Lu, Ziyang Chen, Lichun Li, Jingyan Tian, Xiaotong Ye, Yin Tang:
Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes. 46 - Ilyas Aden, Christopher H. T. Child, Constantino Carlos Reyes-Aldasoro:
International Classification of Diseases Prediction from MIMIIC-III Clinical Text Using Pre-Trained ClinicalBERT and NLP Deep Learning Models Achieving State of the Art. 47 - Musleh Alharthi, Ausif Mahmood:
Enhanced Linear and Vision Transformer-Based Architectures for Time Series Forecasting. 48 - Yang Liu, Jiankun Li:
Runtime Verification-Based Safe MARL for Optimized Safety Policy Generation for Multi-Robot Systems. 49 - Alexander Lehnert, Falko Gawantka, Jonas During, Franz Just, Marc Reichenbach:
XplAInable: Explainable AI Smoke Detection at the Edge. 50
Volume 8, Number 6, 2024
- Nurmaganbet Smatov, Ruslan Kalashnikov, Amandyk Kartbayev:
Development of Context-Based Sentiment Classification for Intelligent Stock Market Prediction. 51 - Petra Radocaj, Dorijan Radocaj, Goran Martinovic:
Image-Based Leaf Disease Recognition Using Transfer Deep Learning with a Novel Versatile Optimization Module. 52 - Dionisis Margaris, Kiriakos Sgardelis, Dimitris Spiliotopoulos, Costas Vassilakis:
Exploiting Rating Prediction Certainty for Recommendation Formulation in Collaborative Filtering. 53 - Tanyaboon Morinaga, Karn Patanukhom, Yuthapong Somchit:
Analyzing the Attractiveness of Food Images Using an Ensemble of Deep Learning Models Trained via Social Media Images. 54 - Mikel Hernandez, Evdokimos I. Konstantinidis, Gorka Epelde, Francisco Londoño, Despoina Petsani, Michalis Timoleon, Vasiliki Fiska, Lampros Mpaltadoros, Christoniki Maga-Nteve, Ilias Machairas, Panagiotis D. Bamidis:
A Secure Data Publishing and Access Service for Sensitive Data from Living Labs: Enabling Collaboration with External Researchers via Shareable Data. 55 - Wenxuan Zhang, Benzhuo Lu:
Stock Trend Prediction with Machine Learning: Incorporating Inter-Stock Correlation Information through Laplacian Matrix. 56 - Chen He, Yuxuan Wei, Yeru Wei, Qiang Liu, Xiang An:
Dynamic Electrocardiogram Signal Quality Assessment Method Based on Convolutional Neural Network and Long Short-Term Memory Network. 57 - Elie Neghawi, Yan Liu:
Enhancing Self-Supervised Learning through Explainable Artificial Intelligence Mechanisms: A Computational Analysis. 58 - Claudio Gutiérrez-Soto, Patricio A. Galdames, Marco A. Palomino:
An Efficient Probabilistic Algorithm to Detect Periodic Patterns in Spatio-Temporal Datasets. 59 - Yeonjung Lee, Hana Alostad, Hasan Davulcu:
Quantifying Variations in Controversial Discussions within Kuwaiti Social Networks. 60 - Jong-Hwi Song, Byung-Suk Seo:
Analyzing Trends in Digital Transformation Korean Social Media Data: A Semantic Network Analysis. 61 - Kaoutar Douaioui, Othmane Benmoussa:
Insights into Industrial Efficiency: An Empirical Study of Blockchain Technology. 62 - Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos:
LLMs and NLP Models in Cryptocurrency Sentiment Analysis: A Comparative Classification Study. 63 - Diana Martínez-Mosquera, Rosa Navarrete, Sergio Luján-Mora, Lorena Recalde, Andres Cabrera-Lozoya:
Integrating OLAP with NoSQL Databases in Big Data Environments: Systematic Mapping. 64 - Bassem Sellami, Chahinez Ounoughi, Tarmo Kalvet, Marek Tiits, Diego Rincon-Yanez:
Harnessing Graph Neural Networks to Predict International Trade Flows. 65 - Dhiaa Musleh, Haya Almossaeed, Fay Balhareth, Ghadah Alqahtani, Norah Alobaidan, Jana Altalag, May Issa Aldossary:
Advancing Dental Diagnostics: A Review of Artificial Intelligence Applications and Challenges in Dentistry. 66 - Xueqi Qian, Lixin Shen, Dong Yang, Zhiwen Zhang, Zhihong Jin:
Research on Multimodal Transport of Electronic Documents Based on Blockchain. 67 - Ivan P. Malashin, Igor S. Masich, Vadim Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov:
Application of Natural Language Processing and Genetic Algorithm to Fine-Tune Hyperparameters of Classifiers for Economic Activities Analysis. 68 - Leonardo H. Talero-Sarmiento, Marc Gonzalez Capdevila, Antoni Granollers, Henry Lamos-Diaz, Karine Aparecida P. Rodrigues:
Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment. 69 - Ahtsham Zafar, Venkatesh Balavadhani Parthasarathy, Chan Le Van, Saad Shahid, Aafaq Iqbal khan, Arsalan Shahid:
Building Trust in Conversational AI: A Review and Solution Architecture Using Large Language Models and Knowledge Graphs. 70
Volume 8, Number 7, 2024
- Benjamin Warnke, Kevin Martens, Tobias Winker, Sven Groppe, Jinghua Groppe, Prasad Adhiyaman, Sruthi Srinivasan, Shridevi Krishnakumar:
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL. 71 - Aliya Nugumanova, Almas Alzhanov, Aiganym Mansurova, Kamilla Rakhymbek, Yerzhan Baiburin:
Semantic Non-Negative Matrix Factorization for Term Extraction. 72 - Marçal Mora Cantallops, Elena García-Barriocanal, Miguel-Ángel Sicilia:
Trustworthy AI Guidelines in Biomedical Decision-Making Applications: A Scoping Review. 73
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