Search Results - Multi-modal Sensor Data Fusion in Internet of Things

BoxingPro: An IoT-LLM Framework for Automated Boxing Coaching via Wearable Sensor Data Fusion.

Authors: Zhu, Man Huang, Pengfei Xu, Xiaolong et al.

Source: Electronics (2079-9292); Nov2025, Vol. 14 Issue 21, p4155, 15p

Subject Terms: BIOMECHANICS, MULTISENSOR data fusion, WEARABLE technology, SPORTS & technology, LANGUAGE models, INTERNET of things

Complementary effects of multimodal interaction on sensor data fusion.

Authors: Niu, Ran

Source: AIP Conference Proceedings; 2024, Vol. 3194 Issue 1, p1-5, 5p

Subject Terms: MULTISENSOR data fusion, SYSTEM safety, TRAFFIC safety, RESEARCH personnel, INTERNET of things, INFORMATION sharing

Early-Stage Sensor Data Fusion Pipeline Exploration Framework for Agriculture and Animal Welfare.

Authors: Martin, Devon Roberts, David L. Bozkurt, Alper

Source: AgriEngineering; Jul2025, Vol. 7 Issue 7, p215, 19p

Subject Terms: MULTISENSOR data fusion, AGRICULTURE, SOFTWARE frameworks, DIMENSIONAL reduction algorithms, ANIMAL welfare, INTERNET of things, INTERDISCIPLINARY research

Privacy-preserving heterogeneous multi-modal sensor data fusion via federated learning for smart healthcare.

Authors: Wang, Jing Quasim, Mohammad Tabrez Yi, Bo

Source: Information Fusion. Aug2025, Vol. 120, pN.PAG-N.PAG. 1p.

Subject Terms: *INTERNET of medical things, *FEDERATED learning, *DATA privacy, *SENSOR networks, *PATIENT monitoring

IoT-Based Multi-Sensor Fusion Framework for Livestock Health Monitoring, Prediction, and Decision-Making Operations.

Authors: Janga, Koteswara Rao Ramesh, Repudi K., Krishna Veni

Source: International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p1487-1495, 9p

Subject Terms: MULTISENSOR data fusion, ANIMAL health surveillance, INTERNET of things, OUTLIER detection, KALMAN filtering, DEEP learning, DECISION support systems, TREND analysis

Multi-channel Sensor Network Construction, Data Fusion and Challenges for Smart Home

Authors: Zhang, He Ananda, Robin Fu, Xinyi et al.

Index Terms: Computer Science - Human-Computer Interaction, text

URL: http://arxiv.org/abs/2312.16697

Privacy-Enhanced Digital twin Framework for Smart Livestock Management: A Federated Learning Approach with Privacy-Preserving Hybrid Aggregation (PPHA).

Authors: Alyoubi, Adel A.

Source: Journal of Intelligent Systems & Internet of Things; 2025, Vol. 16 Issue 1, p1-18, 18p

Subject Terms: FEDERATED learning, DATA privacy, DIGITAL twin, REINFORCEMENT learning, SUSTAINABLE agriculture

IoT-FAR: A multi-sensor fusion approach for IoT-based firefighting activity recognition.

Authors: Chai, Xiaoqing Lee, Boon Giin Hu, Chenhang et al.

Source: Information Fusion. Jan2025, Vol. 113, pN.PAG-N.PAG. 1p.

Subject Terms: *BREATHING apparatus, *MULTISENSOR data fusion, *INERTIAL confinement fusion, *WEARABLE technology, *MACHINE learning, *HUMAN activity recognition

Applications of pre-trained CNN models and data fusion techniques in Unity3D for connected vehicles: Applications of pre-trained CNN models and data fusion...: M. Norouzi et al.

Authors: Norouzi, Mojtaba Hosseini, Seyed Hossein Khoshnevisan, Mohammad et al.

Source: Applied Intelligence; Apr2025, Vol. 55 Issue 6, p1-29, 29p

Real-time fault detection for IIoT facilities using GA-Att-LSTM based on edge-cloud collaboration.

Authors: Dong, Jiuling Li, Zehui Zheng, Yuanshuo et al.

Source: Frontiers in Neurorobotics; 2024, p1-14, 14p

Subject Terms: ARTIFICIAL neural networks, DATABASES, ANOMALY detection (Computer security), UPLOADING of data, INTERNET of things

Cyber-Physical System based Next-Generation Framework for AI-Driven Disease Diagnosis in IoT-Enabled Smart Healthcare Systems.

Authors: Jeevetha, V. S. Jayanthi, B.

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 3, p1471-1497, 27p

Subject Terms: MACHINE learning, COMPUTERS, CYBER physical systems, ARTIFICIAL intelligence, ELECTRONIC data processing

Machine Learning-Based Sensor Data Fusion for Animal Monitoring: Scoping Review.

Authors: Aguilar-Lazcano, Carlos Alberto Espinosa-Curiel, Ismael Edrein Ríos-Martínez, Jorge Alberto et al.

Source: Sensors (14248220); Jun2023, Vol. 23 Issue 12, p5732, 28p

Subject Terms: MULTISENSOR data fusion, MACHINE learning, ANIMAL behavior, DETECTORS, ARTIFICIAL intelligence

Efficient Data Handling for Massive Internet of Medical Things

Authors: Chinmay Chakraborty Uttam Ghosh Vinayakumar Ravi et al.

Resource Type: eBook.

Subjects: Cooperating objects (Computer systems), Telecommunication, Medical informatics, Biomedical engineering

Categories: TECHNOLOGY & ENGINEERING / Electronics / General, COMPUTERS / Cybernetics, TECHNOLOGY & ENGINEERING / Telecommunications, TECHNOLOGY & ENGINEERING / Biomedical, MEDICAL / Informatics

Analysis of Preventions of Attacks on IOT Using Block Chain: Review.

Authors: Anjum, Afsana¹ afsana24sajid@gmail.com

Source: Journal of Advanced Zoology. 2023 Supplement, Vol. 44, p1938-1943. 6p.

Machine learning and blockchain technologies for cybersecurity in connected vehicles.

Authors: Ahmad, Jameel Zia, Muhammad Umer Naqvi, Ijaz Haider et al.

Source: WIREs: Data Mining & Knowledge Discovery. Jan/Feb2024, Vol. 14 Issue 1, p1-39. 39p.

Subject Terms: *Machine learning, *Cyberterrorism, *Internet of things, Internet security, Blockchains, Autonomous vehicles, Intrusion detection systems (Computer security), Road safety measures

Internet of Things for Emotion Care: Advances, Applications, and Challenges.

Authors: Xu, Xu Fu, Chong Camacho, David et al.

Source: Cognitive Computation; Nov2024, Vol. 16 Issue 6, p2812-2832, 21p

Blockchain-Enhanced Security for 5G Edge Computing in IoT.

Authors: Reis, Manuel J. C. S.

Source: Computation; Apr2025, Vol. 13 Issue 4, p98, 28p

Subject Terms: DENIAL of service attacks, EDGE computing, 5G networks, INTERNET security, ARTIFICIAL intelligence, ACCESS control, BLOCKCHAINS

A new data-driven paradigm for the study of avian migratory navigation.

Authors: Demšar, Urška Zein, Beate Long, Jed A.

Source: Movement Ecology. 3/11/2025, Vol. 13 Issue 1, p1-12. 12p.

RAVE-HD: A Novel Sequential Deep Learning Approach for Heart Disease Risk Prediction in e-Healthcare.

Authors: Khan, Muhammad Jaffar Raza, Basit Faheem, Muhammad

Source: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 22, p2866, 50p

Subject Terms: HEART diseases, DEEP learning, MEDICAL screening, FEATURE selection, MACHINE learning, PREDICTION models, DIGITAL health, STATISTICAL bias

Heat stress affects dairy cow performance via oxidative stress, hypothalamic–pituitary–adrenal axis, gut microbiota, and multi-dimensional mitigation.

Authors: Zhang, Qiang Yang, Lulu Li, Yunhan et al.

Source: Frontiers in Veterinary Science. 2025, p1-20. 20p.