Search Results - Computing methodologies Machine learning Machine learning approaches

A machine learning approach to affective computing in the metaverse

Authors: SILVA, OSVALDO DANIEL MARTINS VIEIRA DA Pereira, Ivo André Soares REPOSITÓRIO P.PORTO

Contributors: SILVA, OSVALDO DANIEL MARTINS VIEIRA DA Pereira, Ivo André Soares REPOSITÓRIO P.PORTO

Source: urn:tid:203996038

Subject Terms: Affective Computing, Metaverse, Emotion Recognition, Emotional Engagement

File Description: application/pdf

Availability: http://hdl.handle.net/10400.22/30432

A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference

Authors: Pol Puigdemont Enrico Russo Axel Wassington et al.

Source: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Proceedings of the ASP-DAC 2025

Subject Terms: FOS: Computer and information sciences, Application-specific VLSI designs, Computer Science - Machine Learning, Electronic design automation, accelerator, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Modeling and simulation, graph neural network (GNN), scheduler, Computing methodologies, Machine Learning (cs.LG), Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors, Machine learning approaches, Application specific processors, Hardware, Machine learning, Hardware Architecture (cs.AR), High-level and register-transfer level synthesis, Hardware-software codesign, regression, Very large scale integration design, Computer Science - Hardware Architecture, Neural networks

File Description: application/pdf

Access URL: http://arxiv.org/abs/2411.16342
https://hdl.handle.net/2117/442380
https://doi.org/10.1145/3658617.3697660
https://hdl.handle.net/20.500.11769/670589
https://doi.org/10.1145/3658617.3697660

Breast Cancer Detection Using Machine Learning with Thermograms in an Edge Computing Scenario

Authors: Tahmooresi, Maryam Remondo Bueno, David Alcober Segura, Jesús Ángel

Source: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Subject Terms: Enginyeria de la telecomunicació::Aspectes socials [Àrees temàtiques de la UPC], 02 engineering and technology, Computing methodologies, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions, 3. Good health, Telecomunicació de banda ampla, Sistemes de, Machine learning approaches, Computational neuroscience, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Broadband communication systems, Neurociència computacional, Neural networks, Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Aspectes socials

File Description: application/pdf

Access URL: https://upcommons.upc.edu/handle/2117/353841
https://hdl.handle.net/2117/353841
https://doi.org/10.1145/3469258.3469850

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning

Authors: Gianluca Mittone Nicoló Tonci Robert Birke et al.

Source: Proceedings of the 20th ACM International Conference on Computing Frontiers. :73-83

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Computing methodologies, Distributed computing methodologies, Distributed algorithms, Machine learning, Machine learning approaches, Neural networks, Hardware, Emerging technologies, Analysis and design of emerging devices and systems, Emerging architectures, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Edge Computing, Energy Consumption, Federated Learning, Green Computing, RISC-V, 02 engineering and technology, Distributed, Parallel, and Cluster Computing (cs.DC), 01 natural sciences, RISC-V, Energy Consumption, Federated Learning, Edge Computing, Green Computing, Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2302.07946
https://hdl.handle.net/11568/1202687
https://doi.org/10.1145/3587135.3592211
https://hdl.handle.net/2318/1898473
https://doi.org/10.1145/3587135.3592211
https://arxiv.org/abs/2302.07946

Miscellaneous EEG Preprocessing and Machine Learning for Pilots' Mental States Classification: Implications

Authors: Ibrahim Mohammad Alreshidi Irene Moulitsas Karl W. Jenkins

Source: 2022 The 6th International Conference on Advances in Artificial Intelligence. :29-39

Subject Terms: Machine learning approaches, 03 medical and health sciences, Support vector machines, Hardware, 0302 clinical medicine, Machine learning, interfaces and storage, Kernel methods, Noise reduction, Communication hardware, Computing methodologies, Neural networks, Signal processing systems

Access URL: https://dspace.lib.cranfield.ac.uk/handle/1826/18784

Evaluation model of physical education teaching effect based on machine learning algorithm with biomechanical integration.

Authors: Liu, Xiaoli

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-18, 18p

Subject Terms: MACHINE learning, BIOMECHANICS, EFFECTIVE teaching, PHYSICAL education, EVALUATION methodology, TEACHING methods, BIOLOGICALLY inspired computing, SCHOOL children

Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages

Authors: Kumar, Navdeep Claudia Di Biagio Zachary Dellacqua et al.

Source: urn:isbn:978-3-031-25069-9
Computer Vision – ECCV 2022 Workshops. ECCV 2022. Lecture Notes in Computer Science (2023-02-14); Bio Image Computing Workshop in European Conference on Computer Vision 2022, Tel Aviv, Israel [IL], 23-27 October

Subject Terms: Deep Learning, Multi-modal image analysis, landmark detection, artificial intelligence, bio images, fish, Engineering, computing & technology, Computer science, Human health sciences, Ingénierie, informatique & technologie, Sciences informatiques, Sciences de la santé humaine

Relation: info:eu-repo/grantAgreement/EC/H2020/766347; https://research.cytomine.be/#/project/434321374/images; https://research.cytomine.be/#/project/434321374/images; https://research.cytomine.be/#/project/434321374/images

Access URL: https://orbi.uliege.be/handle/2268/294220

A Generic Machine Learning Based Approach for Addressee Detection In Multiparty Interaction

Authors: Malik, Usman Barange, Mukesh Ghannad, Naser et al.

Contributors: Malik, Usman Barange, Mukesh Ghannad, Naser et al.

Source: Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents. :119-126

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Computing methodologies → Machine learning, Human-centered computing → Natural language interfaces, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA], 02 engineering and technology, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], 16. Peace & justice, CCS CONCEPTS

Access URL: https://dl.acm.org/doi/10.1145/3308532.3329462
https://hal.archives-ouvertes.fr/hal-02283234
https://dblp.uni-trier.de/db/conf/iva/iva2019.html#MalikBGSP19

An Efficient and Scalable Approach to Build Co-occurrence Matrix for DNN's Embedding Layer

Authors: Petit, Quentin Li, Chong Emad, Nahid et al.

Contributors: Petit, Quentin Li, Chong Emad, Nahid et al.

Source: Proceedings of the 38th ACM International Conference on Supercomputing. :286-297

Subject Terms: [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [INFO.INFO-DC]Computer Science [cs]/Distributed, Information extraction, Natural language processing, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Parallel, Distributed computing, Sparse matrix, Computing methodologies → Massively parallel algorithms, and Cluster Computing [cs.DC], Large-scale data analytics, Control methods Deep Learning, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC], Co-occurrence matrix, Computing methodologies → Massively parallel algorithms Natural language processing Information extraction Control methods Deep Learning, Embedding

File Description: application/pdf

Access URL: https://hal.science/hal-04719623v1
https://hal.science/hal-04719623v1/document
https://doi.org/10.1145/3650200.3656629

A survey on novel approach to semantic computing for domain specific multi-lingual man-machine interaction.

Authors: Bohra, Anjali Barwar, Nemi Chand

Source: International Journal of Informatics & Communication Technology (IJ-ICT); Apr2025, Vol. 15 Issue 1, p1-10, 10p

Subject Terms: NATURAL language processing, SEMANTIC computing, MACHINE translating, QUESTION answering systems, MACHINE learning

Automatic Nested Spatial Entity and Spatial Relation Extraction From Text for Knowledge Graph Creation: A Baseline Approach and a Benchmark Dataset

Authors: Rawsthorne, Helen Abadie, Nathalie Kergosien, Eric et al.

Contributors: Rawsthorne, Helen Abadie, Nathalie Kergosien, Eric et al.

Source: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities. :21-30

Subject Terms: geographic information, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Information extraction geographic information, neural network, Natural language processing, [SHS.GEO] Humanities and Social Sciences/Geography, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], deep learning, binary spatial relation, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Computing methodologies → Artificial intelligence, spatial knowledge, Computing methodologies → Artificial intelligence Natural language processing Information extraction geographic information, maritime data, language model, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [SHS] Humanities and Social Sciences, nested spatial entity

File Description: application/pdf

Access URL: https://hal.science/hal-04294222v1/document
https://hal.science/hal-04294222v1
https://doi.org/10.1145/3615887.3627754

Prediction of Breast Cancer using Machine Learning Approaches

Authors: Reza Rabiei Seyed Mohammad Ayyoubzadeh Solmaz Sohrabei et al.

Source: Journal of Biomedical Physics and Engineering, Vol 12, Iss 3, Pp 297-308 (2022)

Subject Terms: artificial intelligence, breast cancer, computing methodologies, genetic algorithm, machine learning, Medical physics. Medical radiology. Nuclear medicine, R895-920

File Description: electronic resource

Relation: https://jbpe.sums.ac.ir/article_48331_d572e12a4b3dc6cdd0559c1f1b1f9b45.pdf; https://doaj.org/toc/2251-7200

Access URL: https://doaj.org/article/8a725a6aa2474a069fe6d566d716c2d5

A narrative review of deep learning applications in sports performance analysis: current practices, challenges, and future directions.

Authors: Jia, Yunke Anida Abdullah, Norli Eliza, Hafiz et al.

Source: BMC Sports Science, Medicine & Rehabilitation; 8/27/2025, Vol. 17 Issue 1, p1-20, 20p

Subject Terms: DEEP learning, PREDICTION models, ATHLETIC ability, HUMAN activity recognition, REAL-time computing, MOTION detectors, PREVENTION of injury

ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency

Authors: Carlini, Emanuele Di Gangi, Domenico Monteiro de Lira, Vinicius et al.

Source: SSTD '25: Proceedings of the 19th International Symposium on Spatial and Temporal Data.

Subject Terms: Information systems, Location based services, Computing methodologies, Applied computing, Transportation, Data- och informationsvetenskap, Computer and Information Sciences Computer Science

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-140412
https://doi.org/10.1145/3748777.3748792

Enhancing DDoS Attacks Mitigation Using Machine Learning and Blockchain-Based Mobile Edge Computing in IoT.

Authors: Chaira, Mahmoud Belhenniche, Abdelkader Chertovskih, Roman

Source: Computation; Jul2025, Vol. 13 Issue 7, p158, 17p

Subject Terms: DENIAL of service attacks, MACHINE learning, INTERNET of things, EDGE computing, ELECTRONIC data processing, CYBERTERRORISM, SIGNAL detection, BLOCKCHAINS

TOMATO CARE: A Deep Learning Approach to Disease Recognition and Prevention

Authors: Jayashree Agarkhed Akash Saxena Patale Soumya Umesh et al.

Source: 2025 8th International Conference on Computing Methodologies and Communication (ICCMC). :2048-2053

A Survey on Agricultural Precision with Deep Learning-Driven Satellite Image Analysis: A Multi-Temporal, Multi-Spectral Approach

Authors: Parisuddha Babu Kanaparthy Akila Venkatesan

Source: 2025 8th International Conference on Computing Methodologies and Communication (ICCMC). :591-598

Implementation of a Deep Learning System for Detection and Classification of Lumpy Skin Disease in Cattle: Enhancing Precision and Efficiency in Veterinary Diagnostics.

Authors: Pal, Madhumita Behera, Soudamini Mohapatra, Ranjan K. et al.

Source: Veterinary Medicine & Science. Nov2025, Vol. 11 Issue 6, p1-20. 20p.

Subjects: Lumpy skin disease, Deep learning, Ensemble learning, Veterinary clinical pathology, Health of cattle, Transformer models, Machine learning

A Deep Learning Approach to Classify Spam URLs Data using MLP

Authors: Jabeen Sultana Tamanna Siddiqui

Source: 2025 8th International Conference on Computing Methodologies and Communication (ICCMC). :767-773

Integrative Approaches in Modern Agriculture: Leveraging IoT and Deep Learning for Plant Disease Forecasting Under Climate Change

Authors: Swapna Kadam C. L. Monica Madhava Katakam et al.

Source: 2025 8th International Conference on Computing Methodologies and Communication (ICCMC). :445-450