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Low-Power On-Chip Implementation of Enhanced SVM Algorithm for Sensors Fusion-Based Activity Classification in Lightweighted Edge Devices
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-26401-1openalex-snapshot
Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information
inferredcites →https://doi.org/10.1007/978-3-319-30933-0_43openalex-snapshot
PCA Based Optimal ANN Classifiers for Human Activity Recognition Using Mobile Sensors Data
inferredcites →https://doi.org/10.1007/978-3-642-21257-4openalex-snapshot
Pattern Recognition and Image Analysis
inferredcites →https://doi.org/10.1007/978-3-642-39593-2_1openalex-snapshot
Deep Learning of Representations: Looking Forward
inferredcites →https://doi.org/10.1007/s10015-017-0422-xopenalex-snapshot
Deep recurrent neural network for mobile human activity recognition with high throughput
inferredcites →https://doi.org/10.1007/s12652-020-02625-4openalex-snapshot
Correction to: A novel multi‑level evaluation approach for human‑coupled IoT applications
inferredcites →https://doi.org/10.1016/j.cmpb.2008.02.001openalex-snapshot
A review of smart homes—Present state and future challenges
inferredcites →https://doi.org/10.1016/j.future.2017.04.039openalex-snapshot
An Efficient Algorithm for Media-based Surveillance System (EAMSuS) in IoT Smart City Framework
inferredcites →https://doi.org/10.1016/j.jclepro.2016.10.006openalex-snapshot
A review of Internet of Things for smart home: Challenges and solutions
inferredcites →https://doi.org/10.1016/j.patrec.2012.12.014openalex-snapshot
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
inferredcites →https://doi.org/10.1016/j.patrec.2018.02.010openalex-snapshot
Deep learning for sensor-based activity recognition: A survey
inferredcites →https://doi.org/10.1016/j.procs.2020.03.289openalex-snapshot
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices
inferredcites →https://doi.org/10.1109/access.2021.3109875openalex-snapshot
Energy-Efficient FPGA Accelerator With Fidelity-Controllable Sliding-Region Signal Processing Unit for Abnormal ECG Diagnosis on IoT Edge Devices
inferredcites →https://doi.org/10.1109/eusipco.2015.7362796openalex-snapshot
Daily activity recognition based on DNN using environmental sound and acceleration signals
inferredcites →https://doi.org/10.1109/icc40277.2020.9149180openalex-snapshot
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations
inferredcites →https://doi.org/10.1109/iceic51217.2021.9369725openalex-snapshot
Remote Monitoring Systems of Unsafe Software Execution using QR Code-based Power Consumption Profile for IoT Edge Devices
inferredcites →https://doi.org/10.1109/icicip.2011.6008384openalex-snapshot
Design of an Internet of Things-based smart home system
inferredcites →https://doi.org/10.1109/ijcnn.2016.7727224openalex-snapshot
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors
inferredcites →https://doi.org/10.1109/smc.2015.525openalex-snapshot
Multi-modal Convolutional Neural Networks for Activity Recognition
inferredcites →https://doi.org/10.1145/2499621openalex-snapshot
A tutorial on human activity recognition using body-worn inertial sensors
inferredcites →https://doi.org/10.1155/2015/809201openalex-snapshot
A Low-Power Microcontroller with Accuracy-Controlled Event-Driven Signal Processing Unit for Rare-Event Activity-Sensing IoT Devices
inferredcites →https://doi.org/10.1186/s40327-018-0063-8openalex-snapshot
What is a smart device? - a conceptualisation within the paradigm of the internet of things
inferredcites →https://doi.org/10.3390/electronics10172088openalex-snapshot
An Efficient On-Demand Hardware Replacement Platform for Metamorphic Functional Processing in Edge-Centric IoT Applications
inferredcites →https://doi.org/10.3390/electronics9030512openalex-snapshot
Automatic Sleep Disorders Classification Using Ensemble of Bagged Tree Based on Sleep Quality Features
inferredcites →https://doi.org/10.3390/proceedings2020099openalex-snapshot
Computational Topology to Monitor Human Occupancy
inferredcites →https://doi.org/10.3390/s20123337openalex-snapshot
mIoT: Metamorphic IoT Platform for On-Demand Hardware Replacement in Large-Scaled IoT Applications
inferredcites →https://doi.org/10.3390/s21165508openalex-snapshot
Lightweight Microcontroller with Parallelized ECC-Based Code Memory Protection Unit for Robust Instruction Execution in Smart Sensors
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/dac.5484openalex-snapshot
Bringing intelligence to Edge/Fog in Internet of Things‐based healthcare applications: Machine learning/deep learning‐based use cases
inferred← citeshttps://doi.org/10.1007/s41870-023-01320-9openalex-snapshot
Lightweight convolutional neural network architecture implementation using TensorFlow lite
inferred← citeshttps://doi.org/10.1109/icist59754.2023.10367148openalex-snapshot
Real-Time Deep Learning Framework for Dermatology Image Classification on Low-Power Embedded Devices
inferred← citeshttps://doi.org/10.1109/jsen.2025.3564904openalex-snapshot
Flexible Self-Powered Triboelectric Nanogenerator Sensor With Machine Learning for Tightness Recognition of Axle Box Bolt
inferred← citeshttps://doi.org/10.1109/uffc-js60046.2024.10793866openalex-snapshot
A Dual-Modal Sensor Fusion System for Bladder Volume Monitoring
inferred← citeshttps://doi.org/10.11591/ijeecs.v30.i1.pp229-236openalex-snapshot
Edge device for movement pattern classification using neural network algorithms
inferred← citeshttps://doi.org/10.3390/electronics12112371openalex-snapshot
A Comparative Analysis of Cross-Validation Techniques for a Smart and Lean Pick-and-Place Solution with Deep Learning
inferred← citeshttps://doi.org/10.3390/electronics12183741openalex-snapshot
Edge Collaborative Online Task Offloading Method Based on Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/machines13010019openalex-snapshot
Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities
inferred← citeshttps://doi.org/10.3390/s22166201openalex-snapshot
Machine Learning and 3D Reconstruction of Materials Surface for Nondestructive Inspection
inferred← citeshttps://doi.org/10.3390/s23115281openalex-snapshot
Review on Human Action Recognition in Smart Living: Sensing Technology, Multimodality, Real-Time Processing, Interoperability, and Resource-Constrained Processing
inferred← citeshttps://doi.org/10.3390/su16177626openalex-snapshot
Transforming Urban Sanitation: Enhancing Sustainability through Machine Learning-Driven Waste Processing
inferred← citeshttps://doi.org/10.4108/eetsis.4881openalex-snapshot
Visual Design of Digital Display Based on Virtual Reality Technology with Improved SVM Algorithm
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