边缘智能 · 全部实体（第 10 / 100 页）

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• TinyML-powered pothole detection on edge devices: Optimizing speed, memory, and accuracy
  crossref H. M. Ramalingam, N. I. Avinash, S. Bhat Vinayambika, Deepthi Shetty 等 2025-10-17T12:40:02Z 置信度 0.70
• Federated TinyML on ESP32: A Resource-Constrained Framework for IoT Health Monitoring
  crossref Chandan B Ram, Nirmala. M B, Swathi Papanna Gari 2026-01-22T20:58:23Z 置信度 0.70
• A Comprehensive Survey of TinyML Applications in Environmental Monitoring and Their Technical Challenges
  crossref Sara Yarham, Mehran Behjati, Rosdiadee Nordin 2026-03-03T20:51:04Z 置信度 0.70
• TinyML-based intrusion detection systems for sustainable and energy-constrained IoT devices
  crossref Amuthadevi C, Venkatesan R, Mythily M, Aroul Canessane R 2025-11-01T07:45:01Z 置信度 0.70
• Efficient TinyML Inference on a Fault-Tolerant RISC-V SoC with Vector Extension
  crossref Carolina Imianosky, Douglas A. Santos, Luigi Dilillo 2025-08-19T18:08:08Z 置信度 0.70
• Development of a Smart Classroom Monitoring System for Responsive and Adaptive Learning Using TinyML
  crossref Halleluyah Oluwatobi Aworinde, Abidemi Emmanuel Adeniyi, Joshua O. Opaleke, Aderonke B. Sakpere 等 2026-08-21T10:24:49Z 置信度 0.70
• EPC-TinyAD: An Energy- and Privacy-Aware Compressed TinyML Framework for Reliable Industrial Anomaly Detection on Resource-Constrained Edge Devices
  Real-time industrial anomaly detection is increasingly shifting from cloud-based diagnosis to edge intelligence deployed close to machines. However, practical industrial scenarios are constrained by scarce fault samples, unknown anomaly types, cross-machine di…
  crossref Yu Sun, Yihang Qin, Wenhao Chen, Wenhui Zhao 等 2026-07-01T10:41:01Z 置信度 0.70
• TinyAP: A Smart Access Point to detect KRACK on WPA2 Handshake in Wi-Fi using TinyML
  crossref Anand Agrawal, Rajib Ranjan Maiti 2025-02-20T20:05:58Z 置信度 0.70
• Tinyml Models for Soh Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy
  crossref Spyridon Giazitzis, Abdisamad ahmed Isse, Nicola Blasuttigh, Susheel Badha 等 2025-03-14T20:24:17Z 置信度 0.70
• A Novel One-Versus-All Approach for Multiclass Classification in TinyML Systems
  crossref Tobiasz Puślecki, Krzysztof Walkowiak 2024-10-16T17:57:54Z 置信度 0.70
• FERMI-ML: A Flexible and Resource-Efficient Memory-In-Situ SRAM Macro for TinyML Acceleration
  crossref Mukul Lokhande, Akash Sankhe, S. V. Jaya Chand, Shivangi Mishra 等 2026-01-12T18:21:00Z 置信度 0.70
• A TinyML Framework for Systolic Heart Murmur Classification Using Digital Phonocardiograms
  crossref Adrian A. C. Alanes, Felipe A. P. de Figueiredo, Samuel B. Mafra 2026-04-16T19:50:24Z 置信度 0.70
• TinyML-Powered Tack Weld Detection for Robotic Welding
  crossref Hizza Waseem, Di Wu, Eric Coatanéa, Joe David 2025-10-15T06:16:05Z 置信度 0.70
• Review for "<scp>TinyML</scp>‐Based Adaptive Pulse Shaping for Edge Intelligence in <scp>IoT</scp>/<scp>IIoT</scp>"
  crossref 2025-09-30T22:59:00Z 置信度 0.70
• Application of a temporal convolutional network algorithm fused with channel attention module for UWB indoor positioning.
  europepmc 2026 置信度 0.80
• Graph Convolution Neural Network and Deep Q-Network Optimization-Based Intrusion Detection with Explainability Analysis.
  europepmc 2026 置信度 0.80
• Trustworthy Cyber-Physical Edge-SHM Architecture for Operational Underground Tunnel Crack Monitoring Under Resource-Constrained Conditions.
  europepmc 2026 置信度 0.80
• A multi-dimensional CNN-Bi-GRU for IoT-based brain-computer interface in early epileptic seizure detection.
  europepmc 2026 置信度 0.80
• Dual-directional CIM-based non-volatile SRAM for instant-on/off energy-constrained edge AI devices.
  europepmc 2026 置信度 0.80
• A data migration and integration approach for big data management using linked data.
  europepmc 2026 置信度 0.80
• AI Methods in Sensor Calibration.
  europepmc 2026 置信度 0.80
• Explainable Deep Reinforcement Learning for Anomaly Detection in IoT-Enabled Metaverse Healthcare: Toward Trustworthy Cyber Threat Intelligence.
  europepmc 2026 置信度 0.80
• Dynamic community detection using class preserving time series generation with Fourier Markov diffusion.
  europepmc 2026 置信度 0.80
• Respiratory Monitoring in Motion: An Overview of Wearable Methods and Algorithmic Approaches for Reliable Assessment.
  europepmc 2026 置信度 0.80
• A Sparsity-Driven Backpropagation-Less Learning Framework Using Populations of Spiking Growth Transform Neurons.
  europepmc 2021 置信度 0.80
• An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity.
  Currently, the applications of the Internet of Things (IoT) generate a large amount of sensor data at a very high pace, making it a challenge to collect and store the data. This scenario brings about the need for effective data compression algorithms to make t…
  europepmc Gabriel Signoretti, Marianne Silva, Pedro Andrade, Ivanovitch Silva 等 2021 置信度 0.80
• AI-driven routing and layered architectures for intelligent ICT in nanosensor networked systems.
  europepmc 2026 置信度 0.80
• The environmentally impacts of digital health.
  europepmc 2021 置信度 0.80
• From Biosignals to Bedside: A Review of Real-Time Edge Machine Learning for Wearable Health Monitoring.
  europepmc 2026 置信度 0.80
• An Overview of Machine Learning within Embedded and Mobile Devices-Optimizations and Applications.
  europepmc 2021 置信度 0.80
• A Novel Hybrid Deep Learning Model for Human Activity Recognition Based on Transitional Activities.
  europepmc 2021 置信度 0.80
• A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges.
  europepmc 2026 置信度 0.80
• Toward Smart Railway Infrastructure Predictive and Optimised Maintenance Through Digital Twin (DT) System.
  europepmc 2026 置信度 0.80
• Recent advances in the biosensing platforms for sepsis diagnosis.
  europepmc 2026 置信度 0.80
• Design Space Exploration of a Multi-Model AI-Based Indoor Localization System.
  europepmc 2022 置信度 0.80
• An On-Device Learning System for Estimating Liquid Consumption from Consumer-Grade Water Bottles and Its Evaluation.
  europepmc 2022 置信度 0.80
• A Microservices-Based Solution with Hybrid Communication for Energy Management in Smart Grid Environments.
  europepmc 2026 置信度 0.80
• Lightweight Deep Neural Network Embedded with Stochastic Variational Inference Loss Function for Fast Detection of Human Postures.
  europepmc 2023 置信度 0.80
• Ready, Steady, Go AI: A practical tutorial on fundamentals of artificial intelligence and its applications in phenomics image analysis.
  europepmc 2021 置信度 0.80
• Machine Learning for Healthcare Wearable Devices: The Big Picture.
  europepmc 2022 置信度 0.80
• Deep Neural Architectures for Contrast Enhanced Ultrasound (CEUS) Focal Liver Lesions Automated Diagnosis.
  europepmc 2021 置信度 0.80
• A Comparative Overview of Technological Advances in Fall Detection Systems for Elderly People.
  europepmc 2025 置信度 0.80
• TinyDevID: TinyML-Driven IoT Devices IDentification Using Network Flow Data
  crossref Priyanka Rushikesh Chaudhary, Anand Agrawal, Rajib Ranjan Maiti 2025-02-20T20:05:58Z 置信度 0.70
• TinyML: Deploying Machine Learning on Microcontrollers for IoT Applications
  The rapid proliferation of Internet of Things (IoT) devices has created an urgent need for intelligent data processing directly on resource-constrained hardware. Tiny Machine Learning (TinyML) addresses this challenge by enabling the deployment of machine lear…
  crossref Ron Wainbuch, Akinniyi James Samuel 2026-02-16T18:17:44Z 置信度 0.70
• Dispositivo IoT para prevenir la violencia de género usando TinyML
  El estudio se enmarca en el desarrollo de una solución basada en el Internet de las Cosas (IoT) y el aprendizaje automático para prevenir y detectar situaciones de peligro relacionadas con la Violencia basada en el Género (VBG). El objetivo es proporcionar una…
  crossref Mónica Tamara Avila Rodríguez, Elsa Marina Quizhpe Buñay, Wilson Gustavo Chango Sailema, Stalin Arciniegas 2023-12-21T23:00:31Z 置信度 0.70
• Smart Plant Watering Using TinyML: Water Savings through Predictive Control
  Indoor plant watering is not always effective - people often overwater or underwater plants, wasting water and harming plant health. In view of this, a smart watering system using artificial intelligence that runs on a tiny microcontroller chip has been develo…
  crossref Roman Korostenskyi, Igor Olenych 2025-12-04T16:35:22Z 置信度 0.70
• CycloWatt: An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics
  crossref Victor Luder, Sizhen Bian, Michele Magno 2024-06-28T17:53:14Z 置信度 0.70
• Redesigning Transportation Cyber-Physical Systems: Enhancing Connectivity and Bolstering Security Using TinyML
  crossref Ankita Sharma, Shalli Rani 2025-07-21T18:10:09Z 置信度 0.70
• Evaluating the performance of TinyML singular and ensemble techniques for intrusion detection in IoT networks
  crossref Abderahmane Hamdouchi, Ali Idri 2025-06-03T11:14:45Z 置信度 0.70
• Context‐Aware <scp>TinyML</scp> Model for Korean Handwriting Recognition Under Online Assisted Learning Scenes
  ABSTRACT Optical character recognition (OCR) based on wearable devices plays an important role in online learning. Although the existing convolutional recurrent neural network (CRNN) has achieved great success in the task of optical character recognition (OCR)…
  crossref Shunji Cui 2025-01-22T00:36:16Z 置信度 0.70
• Lightweight Onboard AI for Mars Rovers: A TinyML Approach to Environmental Prediction
  crossref Neharika Kotamaraju, Priyashree P., K.R.M. Vijaya Chandrakala 2026-02-23T20:46:45Z 置信度 0.70
• Intelli-Helmet: An IoT, Edge-AI, and TinyML-Based Real-Time Soldier Health and Threat Monitoring System with Novel Panic Tactile Switch Mechanism
  crossref Fatima Ashraf, Iftiak Ahmed, M. Akhtaruzzaman, Md Rashid Ul Islam 等 2026-06-05T09:02:07Z 置信度 0.70
• Towards Predicting Inference Latency of TinyML Models
  crossref Jyotishman Sarkar, Urmi Jana, Barnali Basak, Himadri Sekhar Paul 等 2025-08-13T17:27:03Z 置信度 0.70
• TinyML for Acoustic Anomaly Detection in IoT Sensor Networks
  crossref Amar Almaini, Jakob Folz, Ghadeer Ashour 2025-12-15T18:36:10Z 置信度 0.70
• Real-Time Fault Detection in Induction Motors Using TinyML: An Evaluation of the Edge Impulse Platform
  crossref João Pedro B Lima 2025-08-19T18:07:54Z 置信度 0.70
• HAC-M-DNN: Hardware Aware Compression of Sustainable Multimodal Deep Neural Networks for Efficient TinyML Deployment
  crossref Hasib-Al Rashid, Eiman Kanjo, Tinoosh Mohsenin 2025-06-12T17:39:36Z 置信度 0.70
• On-device Deep Learning for Recognizing 3D Geometric Shapes in an Educational App Using the TinyML Paradigm
  Currently, deep learning (DL) algorithms perform best in image classification and object detection tasks. Consequently, they are frequently used to address most problems involving computer vision. In this sense, the pervasive presence of smartphones and IoT de…
  crossref André Ramos, Roberto Oliveira, Manoel Campos Neto 2026-01-21T13:43:30Z 置信度 0.70
• Neck Health Detection System with TinyML MCU
  crossref Chun-Hung Yang, Zheng-Huan Jiang, Ming-Wei Hsu, Jiun-Fan Chen 2025-10-27T17:53:54Z 置信度 0.70
• <scp>TinyML</scp> ‐Driven On‐Device Sports Command Recognition in Mobile and Dynamic Environments
  ABSTRACT In this article, we propose a novel TinyML‐based framework for real‐time sports command recognition under mobile conditions. Unlike conventional Human Activity Recognition (HAR) systems that rely on cloud‐based processing or heavy on‐device models, ou…
  crossref Jiali Zang 2025-07-15T05:04:51Z 置信度 0.70
• Low‐Power Physiological Fatigue Monitoring via <scp>TinyML</scp> ‐Enabled Wearables for Sports Evaluation
  ABSTRACT In the context of the growing integration of Internet of Things (IoT) and edge intelligence into sports technology, the ability to accurately monitor athlete fatigue in real time has become increasingly important for performance optimization and injur…
  crossref Yuqiu Zhang 2025-07-22T11:25:14Z 置信度 0.70
• Edge Computing Enables Assessment of Student Community Building: An Emotion Recognition Method Based on <scp>TinyML</scp>
  ABSTRACT Deep network‐based video sentiment analysis is crucial for online evaluation tasks. However, these deep models are difficult to run on intelligent edge devices with limited computing resources. In addition, video data are susceptible to lighting inter…
  crossref Shuo Liu 2025-02-26T09:30:02Z 置信度 0.70
• A Survey of the First TinyML@ICCAD Contest for Ventricular Arrhythmia Detection by Artificial Intelligence on Low-power Microprocessor
  Artificial intelligence has achieved remarkable success in various real-world applications. However, the challenge lies in its implementation on hardware platforms with constrained resources and low power while maintaining real-time capabilities. Edge artifici…
  crossref Guoqing Li, Jingwei Zhang, Meng Zhang, Tinghuan Chen 等 2026-05-18T11:04:05Z 置信度 0.70
• TinyML: Accelerometer-Based Processing for Seismic Detection in Buildings
  crossref Marwane Rezzouki, Kaoutar El Hina, Guillaume Terrasson 2026-03-24T19:45:47Z 置信度 0.70
• Edge-Intelligent Wearable IoT for Real-Time Stress Monitoring and Indoor Localization: A TinyML-Enabled Adaptive RPL Approach
  crossref Hariprasath Madhalingam, Naganathan Meyyappan Ramesh, Aadhil Ahamed Jaffarullah, Bharath Shanmugavel 等 2026-08-06T19:13:39Z 置信度 0.70
• Optimized TinyML Models based on Efficient Knowledge Distillation for Textures Classification
  crossref Sara Awada, Hiba Al Youssef, Zeinab Hijazi, Ali Ibrahim 2025-12-09T18:31:34Z 置信度 0.70
• Avaliação de Algoritmos de Compressão de Séries Temporais Multivariadas com TinyML em Dispositivos Embarcados
  A transmissão contínua de dados em aplicações automotivas no contexto de Internet das Coisas (IoT) enfrenta desafios relacionados à largura de banda e consumo energético. Neste cenário, o TinyML — a aplicação de modelos de aprendizado de máquina em dispositivo…
  crossref Morsinaldo Medeiros, Hagi Costa, Marianne Silva, Ivanovitch Silva 2025-06-26T13:05:32Z 置信度 0.70
• TinyML Empowering Intelligent Edge Devices
  Tiny Machine Learning (TinyML) bridges the gap between artificial intelligence and low-power embedded systems, enabling devices like microcontrollers to process data locally and operate autonomously. This chapter explores the foundational principles of TinyML,…
  crossref Helen K. Joy, Electa Alice Jayarani, R. Sridevi 2025-08-08T19:01:18Z 置信度 0.70
• Review for "&lt;scp&gt;TinyML&lt;/scp&gt;‐Based Adaptive Pulse Shaping for Edge Intelligence in &lt;scp&gt;IoT&lt;/scp&gt;/&lt;scp&gt;IIoT&lt;/scp&gt;"
  crossref 2025-09-30T22:59:00Z 置信度 0.70
• IoT device for detecting abnormal vibrations in motors using TinyML
  crossref Stalin Arciniegas, Dulce Rivero, Jefferson Piñan, Elizabeth Diaz 等 2025-04-16T17:36:46Z 置信度 0.70
• A Compact Dual-IMU Fall Detection Model for TinyML Deployment at Low Sampling Rates
  crossref Duan Luong-Cong, Minh Nguyen-Ngoc 2025-09-09T17:29:46Z 置信度 0.70
• Steganographic Blockchain for Covert Communication: Hashing Tactical Data in Noisy Channels with TinyML
  crossref Divyanshu Kumar, Ranjan Yengkhom, Jitesh Choudhary 2026-03-06T20:58:41Z 置信度 0.70
• Low-Power TinyML CNN Accelerator using Integrated Clock Gating for Edge Devices
  crossref Shashi Kant Dargar, Akash, Antony Fedrick, Avinash Kumar 2026-01-14T20:37:30Z 置信度 0.70
• TinyML-Based Hazardous Gas Detection for Intelligent Personal Protective Equipment
  crossref Celina Kudrin-Gusten, Michael Kuhl, Valentin Barth, Hang Yu 2026-01-23T20:55:09Z 置信度 0.70
• TinyML for Computation-aware Transformer-based Anomaly Detection in Internal Combustion Systems
  crossref Iman Sharifirad, Jalil Boudjadar, Peter Gorm Larsen 2025-02-19T18:39:17Z 置信度 0.70
• Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications
  crossref Jelin Leslin, Martin Trapp, Martin Andraud 2025-08-22T23:57:49Z 置信度 0.70
• Embedded AI: Integrating TinyML in Resource-Constrained IoT Devices
  crossref Amel A. Triesh, Nuredin Ali Salem Ahmed 2026-04-16T19:51:19Z 置信度 0.70
• Review for "&lt;scp&gt;TinyML&lt;/scp&gt;‐Based Adaptive Pulse Shaping for Edge Intelligence in &lt;scp&gt;IoT&lt;/scp&gt;/&lt;scp&gt;IIoT&lt;/scp&gt;"
  crossref 2025-09-30T22:59:00Z 置信度 0.70
• A Survey of Model Compression Techniques for TinyML Applications
  crossref Ismail Lamaakal, Chaymae Yahyati, Ibrahim Ouahbi, Khalid El Makkaoui 等 2025-09-05T18:04:40Z 置信度 0.70
• Federated TinyML for Lightweight Anomaly Detection in IoMT Using MQTT-Enabled Edge Deployment
  crossref Vaibhav Gollapalli, Seema G. Aarella, Saraju P. Mohanty, Elias Kougianos 2026-05-01T19:51:31Z 置信度 0.70
• Smart Cattle Behavior Sensing with Embedded Vision and TinyML at the Edge
  crossref Jazzie R. Jao, Edgar A. Vallar, Ibrahim Hameed 2025-12-19T08:45:28Z 置信度 0.70
• TinyML vs LLMs: A Survey of Extreme Scales in Machine Learning
  crossref Ismail Lamaakal, Chaymae Yahyati, Khalid El Makkaoui, Yassine Maleh 等 2025-12-15T18:36:56Z 置信度 0.70
• TinyHAR-Net: Design and Implementation of a TinyML-Based Human Activity Recognition Framework on STM32
  crossref Imran Hossan, Mst. Nusratul Jannat Mary, Mohammod Abdul Motin 2025-12-03T18:42:29Z 置信度 0.70
• Avaliação do Impacto de DP-SGD em Modelos Otimizados com Tinyml
  Os modelos de aprendizado profundo (MAP) são aplicados na detecção de ataques e anomalias em redes IoT. O paradigma tiny machine learning (tinyml) viabiliza a execução local desses modelos com baixo consumo de recursos e maior privacidade. No entanto, MAPs ain…
  crossref Davi Bezerra Yada da Silva, Aldri Luiz dos Santos, Jeandro de M. Bezerra 2025-09-11T13:10:33Z 置信度 0.70
• Sensitivity Analysis Exploration of ML Architectures to TinyML Techniques
  crossref Iman Sharifirad, Jalil Boudjadar, Manuel Roveri, Peter Gorm Larsen 2025-09-16T17:32:27Z 置信度 0.70
• TinyML-driven Sensor Nodes for Energy-efficient Acoustic Event Detection in Pervasive Acoustic WSNs
  The process of sensing and transmitting acoustic signals by pervasive acoustic wireless sensor networks (PAWSNs) poses considerable energy challenges. These problems may be mitigated by filtering only relevant acoustic events from the sensor network. By reduci…
  crossref Bibek B. Roy, Sushovan Das, Uttam Kr. Mondal 2025-06-18T06:02:00Z 置信度 0.70
• Arquitetura Embarcada com TinyML e Modelos Linguísticos para Monitoramento Veicular Inteligente
  crossref Rejanio Moraes, Morsinaldo Medeiros, Fellipe Nogueira, Marianne Silva 等 2025-10-04T21:58:23Z 置信度 0.70
• A TinyML Approach for the Classification of Bean Crop Diseases
  crossref Mir Hassan, Wamiq Raza, Varvara Fadeeva, Leonardo Lucio Custode 等 2025-09-30T17:36:40Z 置信度 0.70
• A Literature Review on Model Conversion, Inference, and Learning Strategies in EdgeML with TinyML Deployment
  crossref Muhammad Arif, Muhammad Rashid 2025-03-11T03:12:21Z 置信度 0.70
• Toward Neuromorphic TinyML for Efficient Visual Perception
  crossref Ismail Lamaakal, Chaymae Yahyati, Ibrahim Ouahbi, Khalid El Makkaoui 等 2025-12-09T18:31:34Z 置信度 0.70
• Deep Learning Model for Firearm Detection Based on Tinyml and Edgeia Architectures in Smart Cities
  crossref Sergio Sanchez, Camilo Baldovino, Carlos Arias, Bryan Restrepo 等 2026-01-23T20:55:06Z 置信度 0.70
• Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
  crossref Fatemeh Dehrouyeh, Ibrahim Shaer, Soodeh Nikan, Firouz Badrkhani Ajaei 等 2025-09-26T17:34:55Z 置信度 0.70
• AirMouse-3D: An On-Device TinyML Inertial Mouse for Table-Free Desktop Interaction
  Humans prefer unconstrained, free-space movement—so why must the mouse stay on a tabletop? This paper presents the design and development of a novel three-dimensional (3D) motion-based mouse that operates without a surface, built around the Arduino Nano 33 BLE…
  crossref Kavya Shah, Priyam Parikh 2025-09-28T07:28:51Z 置信度 0.70
• AgriSense - smart rain prediction and automated irrigation with TinyML
  crossref J. Chinna Babu, G. Sujatha, M. Upesh Rayudu, C. Yaswanth Krishna 等 2025-11-14T13:05:12Z 置信度 0.70
• TinyML Unleashed: Accelerating TensorFlow Lite Micro Kernels with RISC-V Vector Extension
  crossref Ahmed Mahmoudi, Christopher Horn, Saleh Mulhem, Rainer Buchty 等 2026-01-02T18:15:33Z 置信度 0.70
• Enabling Secure Edge Intelligence: TinyML-Based Threat Detection in 5G and Future Networks
  crossref Sandeep Pirbhulal, Muhammad Muzammal, Habtamu Abie 2025-12-24T18:47:49Z 置信度 0.70
• Low-Cost IoT and TinyML for Offline Early Chronic Disease Risk Identification in African Communities
  crossref Kayongo Johnson Brian, Marvin Ogore 2026-01-19T20:52:59Z 置信度 0.70
• Sistema de Análise Preditiva em Tempo Real para Smart Meters usando Machine Learning Embarcado (TinyML)
  crossref Jones Nambundo, Otavio Gomes 2026-05-21T17:24:16Z 置信度 0.70
• A Low-Power Low-cost System for Disaster Locations Detection using ESP32 CAM and TinyML
  crossref Riya Samanta, Bidyut Saha, Soumya K. Ghosh 2025-02-20T15:05:58Z 置信度 0.70
• TinyML—From Efficient Edge Inference to On-Device Intelligence
  crossref Theocharis Theocharides, Marian Verhelst, Vijay Janapa Reddy, Evgeni Gousev 2025-08-20T18:43:19Z 置信度 0.70
• TinyML Based Biometric Authentication Using PPG Signals for Edge Devices
  crossref Yogeswar Reddy Thota, Jeffrey Scott Nixon, Bhavya Chandran, Tooraj Nikoubin 2025-06-27T09:58:23Z 置信度 0.70