Works matching DE "HUMAN activity recognition"
Results: 3262
MobileNet for human activity recognition in smart surveillance using transfer learning.
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- Neural Computing & Applications, 2025, v. 37, n. 5, p. 3907, doi. 10.1007/s00521-024-10882-z
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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-88450-1
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Application of Nine-Axis Accelerometer-Based Recognition of Daily Activities in Clinical Examination.
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- Physical Activity & Health (2515-2270), 2024, v. 8, n. 1, p. 29, doi. 10.5334/paah.313
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Revolutionizing health monitoring: Integrating transformer models with multi-head attention for precise human activity recognition using wearable devices.
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- Technology & Health Care, 2025, v. 33, n. 1, p. 395, doi. 10.3233/THC-241064
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Contextual motion-aware for group activity recognition.
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- Journal of Electronic Imaging, 2024, v. 33, n. 6, p. 63004, doi. 10.1117/1.JEI.33.6.063004
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Unlocking the potential of RNN and CNN models for accurate rehabilitation exercise classification on multi-datasets.
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- Multimedia Tools & Applications, 2025, v. 84, n. 3, p. 1261, doi. 10.1007/s11042-024-19092-0
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Ecotourism impacts on reef fishes in a marine reserve during the COVID‐19 era.
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- Frontiers in Ecology & the Environment, 2023, v. 21, n. 7, p. 317, doi. 10.1002/fee.2657
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The practice of tree worship and the territorial production of urban space in the Indian neighbourhood.
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- Journal of Urban Design, 2017, v. 22, n. 3, p. 370, doi. 10.1080/13574809.2017.1281732
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Trajectory-Based 3D Convolutional Descriptors for Human Action Recognition.
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- Journal of Information Science & Engineering, 2019, v. 35, n. 4, p. 851, doi. 10.6688/JISE.201907_35(4).0009
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Contextual Sensitivity in Grounded Theory: The Role of Pilot Studies.
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- Electronic Journal of Business Research Methods, 2010, v. 8, n. 2, p. 73
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Models: the fourth dimension of computer science: Towards studies of models and modelling.
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- Software & Systems Modeling, 2022, v. 21, n. 1, p. 9, doi. 10.1007/s10270-021-00954-2
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Virtual image recognition in aerobics exercise posture based on wearable light sensing devices.
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- Optical & Quantum Electronics, 2024, v. 56, n. 4, p. 1, doi. 10.1007/s11082-023-06147-z
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Dynamic visualization simulation of light motion capture in dance image recognition based on IoT wearable devices.
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- Optical & Quantum Electronics, 2024, v. 56, n. 2, p. 1, doi. 10.1007/s11082-023-05734-4
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Multi-stream network with key frame sampling for human action recognition.
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- Journal of Supercomputing, 2024, v. 80, n. 9, p. 11958, doi. 10.1007/s11227-024-05893-5
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A lightweight neural network framework using linear grouped convolution for human activity recognition on mobile devices.
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- Journal of Supercomputing, 2022, v. 78, n. 5, p. 6696, doi. 10.1007/s11227-021-04140-5
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Performance-enhanced real-time lifestyle tracking model based on human activity recognition (PERT-HAR) model through smartphones.
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- Journal of Supercomputing, 2022, v. 78, n. 4, p. 5241, doi. 10.1007/s11227-021-04065-z
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A 7000‐year record of environmental change: Evolution of Holocene environment and human activities in the Hangjiahu Plain, the lower Yangtze, China.
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- Geoarchaeology, 2023, v. 38, n. 3, p. 335, doi. 10.1002/gea.21945
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Linking anthropogenic burning activities to magnetic susceptibility: Studies at Brazilian archaeological sites.
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- Geoarchaeology, 2023, v. 38, n. 1, p. 89, doi. 10.1002/gea.21941
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Real-time Monitoring of Activity Recognition in Smart Homes: An Intelligent IoT Framework.
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- Journal of Intelligent Systems & Internet of Things, 2023, v. 10, n. 1, p. 76, doi. 10.54216/JISIoT.100106
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Multi-Sensor Data Fusion for Accurate Human Activity Recognition with Deep Learning.
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- Fusion: Practice & Applications, 2023, v. 13, n. 2, p. 62, doi. 10.54216/FPA.130206
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Assessing Impact of Sensors and Feature Selection in Smart-Insole-Based Human Activity Recognition.
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- Methods & Protocols, 2022, v. 5, n. 3, p. 45, doi. 10.3390/mps5030045
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Research on TCN Model Based on SSARF Feature Selection in the Field of Human Behavior Recognition.
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- IET Biometrics (Wiley-Blackwell), 2024, v. 2024, p. 1, doi. 10.1049/2024/4982277
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Deep features fusion for user authentication based on human activity.
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- IET Biometrics (Wiley-Blackwell), 2023, v. 12, n. 4, p. 222, doi. 10.1049/bme2.12115
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Proposing a Fuzzy Soft‐max‐based classifier in a hybrid deep learning architecture for human activity recognition.
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- IET Biometrics (Wiley-Blackwell), 2022, v. 11, n. 2, p. 171, doi. 10.1049/bme2.12066
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Convolutional non-local spatial-temporal learning for multi-modality action recognition.
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- Electronics Letters (Wiley-Blackwell), 2022, v. 58, n. 20, p. 765, doi. 10.1049/ell2.12597
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End‐to‐end motion segmentation and recognition with high accuracy using wearable devices.
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- Electronics Letters (Wiley-Blackwell), 2022, v. 58, n. 13, p. 511, doi. 10.1049/ell2.12506
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Deep activity recognition on imaging sensor data.
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- Electronics Letters (Wiley-Blackwell), 2019, v. 55, n. 17, p. 928, doi. 10.1049/el.2019.0906
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Iot Based Approach For Load Monitoring And Activity Recognition In Smart Homes.
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- Journal of Positive School Psychology, 2023, v. 7, n. 2, p. 145
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Multi-Modal Dataset of Human Activities of Daily Living with Ambient Audio, Vibration, and Environmental Data.
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- Data (2306-5729), 2024, v. 9, n. 12, p. 144, doi. 10.3390/data9120144
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MHAiR: A Dataset of Audio-Image Representations for Multimodal Human Actions.
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- Data (2306-5729), 2024, v. 9, n. 2, p. 21, doi. 10.3390/data9020021
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Wi-Gitation: Replica Wi-Fi CSI Dataset for Physical Agitation Activity Recognition.
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- Data (2306-5729), 2024, v. 9, n. 1, p. 9, doi. 10.3390/data9010009
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Animals as Architects: Building the Future of Technology-Supported Rehabilitation with Biomimetic Principles.
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- Biomimetics (2313-7673), 2024, v. 9, n. 12, p. 723, doi. 10.3390/biomimetics9120723
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A Fast Multi-Scale of Distributed Batch-Learning Growing Neural Gas for Multi-Camera 3D Environmental Map Building.
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- Biomimetics (2313-7673), 2024, v. 9, n. 9, p. 560, doi. 10.3390/biomimetics9090560
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Deep Convolutional Neural Network with Symbiotic Organism Search-Based Human Activity Recognition for Cognitive Health Assessment.
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- Biomimetics (2313-7673), 2023, v. 8, n. 7, p. 554, doi. 10.3390/biomimetics8070554
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Feature-Level Fusion Multi-Sensor Aggregation Temporal Network for Smartphone-Based Human Activity Recognition.
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- Journal of Telecommunications & the Digital Economy, 2024, v. 12, n. 3, p. 29, doi. 10.18080/jtde.v12n3.979
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Description of a Remote Still Photography System for Collection of Benthic Photo-Quadrats.
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- Marine Technology Society Journal, 2010, v. 44, n. 2, p. 56, doi. 10.4031/MTSJ.44.2.1
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Our Anthropocene: Geologies, Biologies, Economies, and New Pursuits of Profit and Power.
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- Space & Culture, 2018, v. 21, n. 1, p. 72, doi. 10.1177/1206331217709931
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融合时空域注意力模块的多流卷积人体动作识别.
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- Journal of South China Normal University (Natural Science Edition) / Huanan Shifan Daxue Xuebao (Ziran Kexue Ban), 2023, v. 55, n. 3, p. 119, doi. 10.6054/j.jscnun.2023043
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基于多流融合网络的3D骨架人体行为识别 .
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- Journal of South China Normal University (Natural Science Edition) / Huanan Shifan Daxue Xuebao (Ziran Kexue Ban), 2023, v. 55, n. 1, p. 94, doi. 10.6054/j.jscnun.2023009
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Faunal Diversity and the Ecological Aspects of a Community-Based Fragmented Lowland Rainforest Patch in Western Province, Sri Lanka.
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- Environment & Natural Resources Journal, 2024, v. 22, n. 2, p. 119, doi. 10.32526/ennrj/22/20230220
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Dynamic Occupancy of Wild Asian Elephant: A Case Study Based On the SMART Database from the Western Forest Complex in Thailand.
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- Environment & Natural Resources Journal, 2022, v. 20, n. 3, p. 310, doi. 10.32526/ennrj/20/202200005
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A brief survey on human activity recognition using motor imagery of EEG signals.
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- Electromagnetic Biology & Medicine, 2024, v. 43, n. 4, p. 312, doi. 10.1080/15368378.2024.2415089
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Is Democracy Good for the Environment? Quasi-Experimental Evidence from Regime Transitions.
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- Environmental & Resource Economics, 2016, v. 64, n. 2, p. 275, doi. 10.1007/s10640-014-9870-0
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Climate change mitigation strategies in agriculture and land use in Indonesia.
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- Mitigation & Adaptation Strategies for Global Change, 2015, v. 20, n. 3, p. 409, doi. 10.1007/s11027-013-9498-3
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Human activities at night negatively impact Little Penguin (Eudyptula minor) numbers and behaviours.
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- Ibis, 2023, v. 165, n. 4, p. 1378, doi. 10.1111/ibi.13217
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Transfer Learning based Human Activity Recognition in Video Data.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2,Part 4, p. 4944
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Student Attentiveness Assessment based on Emotion Detection Model using Human Facial Expression Recognition.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2,Part 4, p. 4883
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Human Activity Recognition using BiLSTM and Comparison with Transformer Model.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2, Part 2, p. 1047
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Forest Fire Detection using AI.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 1, Part 3, p. 2857
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An Intelligent Approach for Miscreant Vehicle İdentification with Automatic Notification.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 1, Part 2, p. 1839
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