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Publication search results
found 12,612 matches
- 2024
- Ishaan Batta:
Multimodal Frameworks to Learn Salient Brain Subspaces from Neuroimaging Data. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Noah Lewis:
Safe Explanations And Explainable Models For Neuroimaging Data Through A Framework Of Constraints. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Shreenidhi H. Bhat, K. S. Hareesha, Abhay T. Kamath, Adarsh Kudva, Ravindranath Vineetha, Ananya Nair:
A Framework to Enhance the Experience of CBCT Data in Real-Time Using Immersive Virtual Reality: Impacting Dental Pre-Surgical Planning. IEEE Access 12: 45442-45455 (2024) - Ratneel Deo, Jody M. Webster, Tristan Salles, Rohitash Chandra:
ReefCoreSeg: A Clustering-Based Framework for Multi-Source Data Fusion for Segmentation of Reef Drill Cores. IEEE Access 12: 12164-12180 (2024) - Fahima Hajjej, Sarra Ayouni, Manal Abdullah Alohali, Mohamed Maddeh:
Novel Framework for Autism Spectrum Disorder Identification and Tailored Education With Effective Data Mining and Ensemble Learning Techniques. IEEE Access 12: 35448-35461 (2024) - Jungmin Kwon, Hyunggon Park:
Data Dissemination Framework Using Low-Rank Approximation in Edge Networks. IEEE Access 12: 1266-1279 (2024) - Mohd Norhisham Razali, Syaifulnizam Abd Manaf, Rozita Hanapi, Mohd Rafiz Salji, Lee Wen Chiat, Kashif Nisar:
Enhancing Minority Sentiment Classification in Gastronomy Tourism: A Hybrid Sentiment Analysis Framework With Data Augmentation, Feature Engineering and Business Intelligence. IEEE Access 12: 49387-49407 (2024) - Seonyeong Song, Jiyoung Han, Kunwoo Park:
A Data-Centric Contrastive Embedding Framework for Contextomized Quote Detection. IEEE Access 12: 40168-40181 (2024) - Mustafa Tanriverdi:
PublicEduChain: A Framework for Sharing Student-Owned Educational Data on Public Blockchain Network. IEEE Access 12: 51772-51785 (2024) - Jilei Hu, Jing Wang:
A data extension framework of seismic-induced gravelly soil liquefaction based on semi-supervised methods. Adv. Eng. Informatics 59: 102295 (2024) - Jia Xu, Humza Naseer, Sean B. Maynard, Justin Filippou:
Using Analytical Information for Digital Business Transformation through DataOps: A Review and Conceptual Framework. Australas. J. Inf. Syst. 28 (2024) - David T. W. Wong, Eric W. T. Ngai:
Linking data-driven innovation to firm performance: a theoretical framework and case analysis. Ann. Oper. Res. 333(2): 999-1018 (2024) - Sebastian Lehuede:
An alternative planetary future? Digital sovereignty frameworks and the decolonial option. Big Data Soc. 11(1) (2024) - Xiangxin Zhan, Yanbin Yin, Han Zhang:
BERMAD: batch effect removal for single-cell RNA-seq data using a multi-layer adaptation autoencoder with dual-channel framework. Bioinform. 40(3) (2024) - Maija Kale:
Development of a New Conceptual Framework for Better Understanding of the Food Consumer: An Interdisciplinary Big Data Approach. Balt. J. Mod. Comput. 12(1) (2024) - Lifei Wang, Rui Nie, Xuexia Miao, Yankai Cai, Anqi Wang, Hanwen Zhang, Jiang Zhang, Jun Cai:
InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation. BMC Bioinform. 25(1): 41 (2024) - Konstantin Yuditskiy, Igor Bezdvornykh, Anastasiya Kazantseva, Alexander Kanapin, Anastasia Samsonova:
BSXplorer: analytical framework for exploratory analysis of BS-seq data. BMC Bioinform. 25(1): 96 (2024) - Benny Kimelfeld, Phokion G. Kolaitis:
A Unifying Framework for Incompleteness, Inconsistency, and Uncertainty in Databases. Commun. ACM 67(3): 74-83 (2024) - Alfred Z. Spector:
Gaining Benefit from Artificial Intelligence and Data Science: A Three-Part Framework. Commun. ACM 67(2): 35-38 (2024) - Vijayakumar Polepally, Jagannadha Rao D. B., Parsi Kalpana, S. Nagendra Prabhu:
Exponential Squirrel Search Algorithm-Based Deep Classifier for Intrusion Detection in Cloud Computing with Big Data Assisted Spark Framework. Cybern. Syst. 55(2): 331-350 (2024) - Mona Shojaei, Navid Mohammadvand, Tunca Dogan, Can Alkan, Rengül Çetin-Atalay, Aybar C. Acar:
An integrative framework for clinical diagnosis and knowledge discovery from exome sequencing data. Comput. Biol. Medicine 169: 107810 (2024) - Fiorela Ciroku, Stefano De Giorgis, Aldo Gangemi, Delfina Sol Martinez Pandiani, Valentina Presutti:
Automated multimodal sensemaking: Ontology-based integration of linguistic frames and visual data. Comput. Hum. Behav. 150: 107997 (2024) - S. P. Santhoshkumar, H. Lilly Beaulah, Abdulrahman Saad Alqahtani, P. Parthasarathy, Azath Mubarakali:
A remote diagnosis of Parkinson's ailment using artificial intelligence based BPNN framework and cloud based storage architecture for securing data in cloud environment for the application of telecommunication technologies. Comput. Intell. 40(1) (2024) - Xiaoquan Zhang, Lin Cui, Fung Po Tso, Wenzhi Li, Weijia Jia:
IN3: A Framework for In-Network Computation of Neural Networks in the Programmable Data Plane. IEEE Commun. Mag. 62(4): 96-102 (2024) - Francisco Abad Navarro, Catalina Martínez-Costa:
A knowledge graph-based data harmonization framework for secondary data reuse. Comput. Methods Programs Biomed. 243: 107918 (2024) - Manuel Paneque, María del Mar Roldán García, Carlos Blanco, Alejandro Maté, David Garcia Rosado, Juan Trujillo:
An ontology-based secure design framework for graph-based databases. Comput. Stand. Interfaces 88: 103801 (2024) - Alicia Margarita Jiménez-Galina, Aidé Aracely Maldonado-Macías, Karla Miroslava Olmos-Sanchez, Israel Hernandez, Fernando Estrada-Saldana, Felipe Adrián Vázquez-Gálvez:
Framework for heterogeneous data management: An application case in a NoSQL environment from a Climatological Center. Computación y Sistemas (CyS) 28(1) (2024) - Ramona Tolas, Raluca Portase, Rodica Potolea:
GeMSyD: Generic Framework for Synthetic Data Generation. Data 9(1): 14 (2024) - Dongsheng Duan, Cheng Zhang, Lingling Tong, Jie Lu, Cunchi Lv, Wei Hou, Yangxi Li, Xiaofang Zhao:
An anomaly aware network embedding framework for unsupervised anomalous link detection. Data Min. Knowl. Discov. 38(2): 501-534 (2024) - Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin:
VEM2L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. Data Min. Knowl. Discov. 38(2): 343-371 (2024)
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