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• Detecção de Quedas e Crises Epilépticas com Dispositivo Vestível utilizando TinyML e ESP32
  A epilepsia é uma condição neurológica crônica que afeta cerca de 50 milhões de pessoas globalmente, demandando soluções que garantam a segurança e a agilidade no atendimento emergencial. Este trabalho apresenta o desenvolvimento de um sistema vestível baseado…
  crossref Francisco Thiago Barbosa Quinto, Thiago de Sena Lima, Fábio Timbó Brito, José Daniel de Alencar Santos 2026-07-30T15:47:28Z 置信度 0.70
• Emotion <scp>AI</scp> on the Edge: A <scp>TinyML</scp> ‐Driven Framework for Speech Emotion Recognition in Social Environments
  ABSTRACT The rise of Emotion AI is transforming how human emotions are detected, interpreted and responded to in real‐time social systems. Speech emotion recognition (SER) enables machines to understand human emotions from voice, fostering more empathetic and …
  crossref Md. Sakib Bin Alam, Aiman Lameesa, Barsha Roy, Shams Forruque Ahmed 等 2026-06-19T00:32:17Z 置信度 0.70
• Design and Implementation of a Low-Cost Device to Monitor the Real-Time Presence of CO and CO2 in Ambient Air and Prediction of its Pollution Level using TinyML
  crossref Abir Lal Dutta, Tapajit Mukherjee, Jayee Sinha 2026-01-20T16:09:46Z 置信度 0.70
• Intelligent Control System for Life Support and Energy Management in Moonal Habitats Using TinyML and Dual Microcontrolers
  crossref Julio Cesar Tello Rojas, Luigy Zidane Moreno Perez, Marisol Ramos Camacho, Omar Obregón Cevallos 等 2026-01-16T14:18:11Z 置信度 0.70
• Fusing Multi-sensor Input with State Information on TinyML Brains for Autonomous Nano-drones
  crossref Luca Crupi, Elia Cereda, Daniele Palossi 2024-12-31T18:01:08Z 置信度 0.70
• A Novel Active RFID and TinyML based system for livestock Localization in Pakistan
  Localization of livestock is a vital component of good livestock management in Pakistan. This abstract describes a unique method for livestock localization in Pakistan that makes use of Active RFID technology and Tiny Machine Learning (TinyML) approaches. The …
  crossref Syed Atir Raza Shirazi, Maham Fatima, Abdul Wahab, Sadaf Ali 2024-06-24T09:02:22Z 置信度 0.70
• Lightweight AI for IoT Security: A Survey of IoT Threats, Model Compression, TinyML, Federated Learning, and Edge-Based Intrusion Detection
  crossref Abdelmalek Bakiri, Samir Fenanir, Lakhdar Goudjil 2026-07-21T19:08:10Z 置信度 0.70
• A Secure Framework for MIoT: TinyML-powered Emergency Alerts and Intrusion Detection for Secure Real-time Monitoring
  crossref Saranya T, Jeyamala D, Suseela Sellamuthu, Indra Priyadharshini S 2024-10-23T17:40:23Z 置信度 0.70
• BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML
  crossref Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu 等 2022-02-21T22:39:17Z 置信度 0.70
• CNN-based prediction of multi-variables for lithium-ion batteries optimized with TinyML and deployed on edge devices
  crossref Yuqin Weng, Wenkai Guan, Cristinel Ababei 2025-11-20T15:29:49Z 置信度 0.70
• A TinyML approach to non-repudiable anomaly detection in extreme industrial environments
  crossref Mattia Antonini, Miguel Pincheira, Massimo Vecchio, Fabio Antonelli 2022-07-22T16:42:05Z 置信度 0.70
• Toward Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions
  crossref Yasamin Fayyaz, Li Yang, Khalil El-Khatib 2026-03-26T19:51:14Z 置信度 0.70
• Myoelectric Control based on Machine Learning of a Low-Cost 7-DOF Transhumeral Prosthetic Arm through TinyML
  crossref Misbah Anwer, Muhammad Fahad, Anusha Hasan, Abdul Karim Hasan 等 2026-07-16T08:08:03Z 置信度 0.70
• An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning
  crossref Matteo Tremonti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella 等 2024-04-23T18:10:48Z 置信度 0.70
• TinyML in Telemedicine: Noise and Latency Reduction for Optimized Embedded Execution
  crossref Djeneba Sangare, Fatima-Ezzahraa Ben-Bouazza, Youssef Ait Bigane, Aymane Edder 等 2026-08-06T01:24:01Z 置信度 0.70
• ECG-Sense: Demonstration of a Wearable ECG Patch with an On-Device TinyML Engine for Real-Time Arrhythmia Detection
  crossref Nagarajan S, Chandra Shekhar Jha, Satya Prakash Chandra, Kurian Polachan 2026-07-17T19:43:30Z 置信度 0.70
• Mapping explainability and energy efficiency in TinyML-based real-time health monitoring using wearable and Internet of medical things devices: A scoping review
  Wearable and Internet of Medical Things devices increasingly support continuous health monitoring, but cloud-dependent analytics remain constrained by latency, connectivity, privacy, and battery requiirements. Tiny machine learning shifts inference toward reso…
  crossref Elly Warni, Muhammad Rizal H 2026-06-08T10:10:08Z 置信度 0.70
• Unlocking Doors: A TinyML-based Approach for real-time Face Mask Detection in Door Lock Systems
  crossref Azzedine El Mrabet, Ayoub Tber, Mohamed Benaly, Laamari Hlou 等 2023-07-01T14:31:57Z 置信度 0.70
• CookSafe AI: An Edge–AI Framework for Intelligent Gas Knob Monitoring and Autonomous Safety Actuation Using ESP32 with TinyML
  crossref G Nivethika, V Pragiyaa, E Rohithaa, Y Padmaja 等 2026-05-11T19:44:21Z 置信度 0.70
• SafePath: A TinyML-based on-device edge intelligence framework for real-time protection of vulnerable road users
  crossref Debashis Das, Sourav Banerjee, Uttam Ghosh 2026-04-13T20:44:19Z 置信度 0.70
• Explainable TinyML-Based Energy Efficient Secure Telesurgery Framework for Healthcare with 6G
  crossref Krisha Shastri, Mohammad S. Obaidat, Sneh Shah, Heli Shah 等 2026-08-13T19:17:07Z 置信度 0.70
• Performance of Low-Cost TinyML Embedded Systems for Real-Time Classification of Table Tennis Strokes
  The integration of sensor technology and artificial intelligence is revolutionizing athletic training. This paper presents a novel cost-effective smart table tennis racket embedded with a nine-axis inertial measurement unit (IMU) for real-time stroke classific…
  crossref Yung-Hoh Sheu, Shu-Hung Lee, Chen-Bin Wu, Sheng K. Wu 等 2026-06-17T08:22:56Z 置信度 0.70
• UAV-Assisted TinyML Transfer Learning for Edge Soil-Moisture Forecasting in Urban and Peri-Urban Smart Farming
  Distributed irrigation intelligence is increasingly relevant to smart-city systems because urban and peri-urban food production now depends on reliable sensing, low-power communications, and resource-efficient water management. This paper presents a UAV-assist…
  crossref Wenping Wang, Rolf Brühl 2026-03-11T20:16:17Z 置信度 0.70
• A Comprehensive Android App Based Solution for Automated Attendance and Management in Institutions Using IoT and TinyML
  crossref Arnob Paul, Nainaiu Rakhaine, Nusrat Jahan Ohee, Arif Ahammad 2023-11-06T19:08:41Z 置信度 0.70
• Systematic Pruning and Acceleration for TinyML on Extremely Weak IoT Devices
  crossref Jiani Cao, Lixiang Han, Kun Wang, Zhen Xiao 等 2026-07-10T19:41:06Z 置信度 0.70
• HoloTiny-AD: A Trustworthy Anomaly Detection in Resource-Constrained IoT Devices Using Holographic TinyML and Deep Metaheuristics
  crossref Yue Zhao, Gautam Srivastava, Farhan Ullah 2025-12-09T18:34:44Z 置信度 0.70
• Nightfall-EX Advanced: An Offline TinyML-Based Portable ECG Monitoring and Emergency Alert System
  crossref Anupama Shetter, Sneha M, Shobith. B. R, Prathiba M K 2026-07-15T20:01:11Z 置信度 0.70
• A Plug-and-Play TinyML-based Vision System for Drone Automatic Landing
  crossref Luca Santoro, Andrea Albanese, Marco Canova, Matteo Rossa 等 2023-07-18T17:29:39Z 置信度 0.70
• Comparison of Cloud Computing and TinyML Methods for Brain-Computer Interface in Motor Imagery Problems
  crossref Jonathan Daniel S. Ong, Robert Kerwin C. Billones, Ronnie Concepcion, Nilo T. Bugtai 2023-06-19T17:49:27Z 置信度 0.70
• An analysis of TinyML@ICCAD for implementing AI on low-power microprocessor
  crossref Guoqing Li, Jingwei Zhang, Meng Zhang, Tuo Li 等 2024-04-01T11:01:38Z 置信度 0.70
• Adaptive Gradient Methods for Differentially Private TinyML in 6G
  crossref Chen Hou, Tao Huang, Qingyu Huang, Xu Yang 等 2026-01-01T18:39:09Z 置信度 0.70
• Transmission Line Anti-External Damage Detection for Ultra-Low Power MCUs Based on TinyML
  crossref Jiahui Yang, Wei Cao 2026-07-29T19:13:51Z 置信度 0.70
• TinyML Acoustic Classification using RAMAN Accelerator and Neuromorphic Cochlea
  crossref Adithya Krishna, H Shankaranarayanan, Hitesh Pavan Oleti, Anand Chauhan 等 2024-11-06T18:37:24Z 置信度 0.70
• Avaliação de Desempenho e Consumo Energético de TinyML em Dispositivos de Borda para Previsão de Precipitação
  No ecossistema da Internet das Coisas (IoT), dispositivos de borda operam com recursos computacionais e energéticos limitados, exigindo modelos de aprendizado de máquina eficientes. Neste trabalho, é desenvolvido um sistema de predição de chuva baseado em mode…
  crossref Clariele Almeida, Rafael José Moura, Danilo Araújo, Ermeson Andrade 2026-08-19T20:03:57Z 置信度 0.70
• Advancing Air Quality Monitoring: TinyML-Based Real-Time Ozone Prediction with Cost-Effective Edge Devices
  crossref Huam Ming Ken, Mehran Behjati, Ahmad Sahban Rafsanjani, Saad Aslam 等 2025-04-03T01:50:56Z 置信度 0.70
• Crowdsourcing Through TinyML as a Way to Engage End-Users in IoT Solutions
  crossref Pietro Manzoni, Marco Zennaro, Fredrik Ahlgren, Tobias Olsson 等 2023-07-16T23:02:12Z 置信度 0.70
• Model theft attack against a tinyML application running on an Ultra-Low-Power Open-Source SoC
  crossref Antonio Porsia, Annachiara Ruospo, Ernesto Sanchez 2024-07-01T06:19:21Z 置信度 0.70
• Energy-Efficient TinyML-Based Fall Detection for Wearable Healthcare Devices
  Falls and irregular heart rhythms are the main causes of injury among kids and the elderly, always overwhelming healthcare systems, and thus making privacy-aware, real-time monitoring a necessity. This work unveils a TinyML wrist-worn prototype based on Arduin…
  crossref P Prathap, H Hibafathima, Sufaira Shamsudeen, M Selin 等 2026-07-31T17:37:17Z 置信度 0.70
• Evaluation of AI-Driven Autonomous and TinyML Applications for Enterprise Automatic Shopping Bills Management
  crossref Mudra Narasimharao, Aditya Kumar Lenka, Biswaranjan Swain, Praveen Priyaranjan Nayak 等 2024-12-24T19:09:48Z 置信度 0.70
• Guest Editorial: SPECIAL ISSUE ON TinyML for Edge-Driven 6G Networks
  crossref Ali Hassan Sodhro, Hien Quoc Ngo, Rui Luis Aguiar, Praveen Kumar Donta 等 2026-03-26T19:52:20Z 置信度 0.70
• Low-Cost TinyML for Pneumonia Detection Using Custom AutoKeras Architecture on Low Resolution Pneumoniamnist Images
  crossref Darla Gempita Darris Purba, Disa Fajar Aidha, Auralius Manurung, Husneni Mukhtar 等 2026-08-13T19:14:21Z 置信度 0.70
• Toward Secure TinyML on a Standardized AI Architecture
  crossref Muhammad Yasir Shabir, Gianluca Torta, Andrea Basso, Ferruccio Damiani 2023-11-16T13:02:49Z 置信度 0.70
• Development of Speech Command Control Based TinyML System for Post-Stroke Dysarthria Therapy Device
  Post-stroke dysarthria (PSD) is a widespread outcome of a stroke. To help in the objective evaluation of dysarthria, the development of pathological voice recognition and technology has a lot of attention. Soft robotics therapy devices have been received as an…
  crossref Bambang Riyanta, Henry Ardian Irianta, Berli Paripurna Kamiel 2024-02-28T06:54:05Z 置信度 0.70
• Assessing the Effects of Post-Quantum Cryptography on Edge Intelligence of TinyML-Based IoMT Healthcare Systems
  crossref M Ramamoorthy, Carmel Mary Belinda M J, Gnanajeyaraman Rajaram, U. Arul 2026-07-17T19:43:33Z 置信度 0.70
• TinyML with Meta-Learning on Microcontrollers for Air Pollution Prediction
  crossref I Nyoman Kusuma Wardana, Suhaib A. Fahmy, Julian W. Gardner 2024-04-08T04:00:18Z 置信度 0.70
• Energy-aware dynamic programming scheduler for TinyML workloads on energy-harvesting CubeSat-IoT platforms: a comprehensive system modelling and performance analysis
  crossref Mfonobong Uko, Choice Amaizu, Sunday Ekpo, Gloria Iyawa 等 2026-02-28T05:43:44Z 置信度 0.70
• An energy efficient TinyML model for a water potability classification problem
  crossref Emanuel Adler Medeiros Pereira, Jeferson Fernando da Silva Santos, Erick de Andrade Barboza 2024-06-26T17:20:40Z 置信度 0.70
• SPARK: An Efficient Hybrid Acceleration Architecture with Run-Time Sparsity-Aware Scheduling for TinyML Learning
  crossref Mingxuan Li, Qinzhe Zhi, Yanchi Dong, Le Ye 等 2024-11-07T19:27:22Z 置信度 0.70
• TinyML and IoT in Agriculture
  crossref M. Shanthalakshmi, N. Deepika, R.M. Avvudaiyappan, J. Prince Raj 2026-06-26T23:10:18Z 置信度 0.70
• A Comparison of Several MCU-Oriented TinyML Models for Skin Lesions Classification
  crossref Radu Dogaru, Ioana Dogaru, Robert-Cristian Tecaru 2026-04-30T05:46:40Z 置信度 0.70
• A TinyML device for risk identification for people with hearing loss
  crossref Cristian Bautista-Villalpando, Victor Lomas-Barrie 2025-12-08T07:58:19Z 置信度 0.70
• Multimodal Interface for Games: A Case Study with TinyML
  crossref Haoxuan Xie, Lam Chi Hou, Lap Tou Chau, Lei Ka Weng 等 2024-03-18T18:53:49Z 置信度 0.70
• Live Demonstration: Real-time audio and visual inference on the RAMAN TinyML accelerator
  crossref Adithya Krishna, Ashwin Rajesh, Hitesh Pavan Oleti, Anand Chauhan 等 2024-07-02T17:22:52Z 置信度 0.70
• Towards Reliable DTMF Recognition: A TinyML Approach
  crossref Hadiza Yusuf, Mike Perkins, Chukwuemeka Nkama 2024-12-17T15:47:25Z 置信度 0.70
• Test the Capability of Arduino TinyML for Machine Learning
  crossref Valentin Caravella, Sahar Yassine, Seifedine Nimer Kadry 2024-08-19T07:05:26Z 置信度 0.70
• RedMule: A mixed-precision matrix–matrix operation engine for flexible and energy-efficient on-chip linear algebra and TinyML training acceleration
  crossref Yvan Tortorella, Luca Bertaccini, Luca Benini, Davide Rossi 等 2023-07-05T21:04:21Z 置信度 0.70
• TinyML Implementation on Microcontrollers: The Case of Maize Leaf Disease Identification
  crossref Fortunatus Aabangbio Wulnye, Ewura Abena Essanoah Arthur, Dennis Agyemanh Nana Gookyi, Derek Kwaku Pobi Asiedu 等 2024-04-25T17:39:17Z 置信度 0.70
• Modified AMBER Alerts System Using TinyML Processing
  crossref Mohammed Umair Khan, Ahmed Al Shamrani, Ahmad Al Shami 2023-11-01T03:02:20Z 置信度 0.70
• K-Means Based Tinyml Anomaly Detection and Distributed Model Reuse via the Distributed Internet of Learning (DIoL)
  crossref Abdulrahman Albaiz, Fathi Amsaad 2026-06-05T19:37:46Z 置信度 0.70
• Special Session: Approximate TinyML Systems: Full System Approximations for Extreme Energy-Efficiency in Intelligent Edge Devices
  crossref Arnab Raha, Soumendu Ghosh, Debabrata Mohapatra, Deepak A. Mathaikutty 等 2021-12-20T19:12:28Z 置信度 0.70
• Mapping explainability and energy efficiency in TinyML-based real-time health monitoring using wear-able and Internet of medical things devices: A scoping review
  Wearable and Internet of Medical Things devices increasingly support continuous health monitoring, but cloud-dependent analytics remain constrained by latency, connectivity, privacy, and battery requirements. Tiny machine learning shifts inference toward resou…
  crossref Elly Warni, Muhammad Rizal H 2026-06-08T10:10:08Z 置信度 0.70
• A TinyML-Based Out-of-Distribution Security Monitor for Energy-Constrained Industrial and Medical IoT Systems
  crossref Viswanathan Ranganathan, Arun Kumar Elengovan, Venkat Nutalapati, Deepak Kole 等 2026-06-02T20:03:34Z 置信度 0.70
• Using TinyML to Classify the Flight Phases of an Unmanned Aerial Vehicle
  crossref Paulo H. A. Andrade, Matheus V. Silva Jales, Daut J. N. P. Couras, Victor W. F. De Azevedo 等 2024-12-03T18:55:33Z 置信度 0.70
• Effective real-time TinyML-based system for early detection and blister quantification of grape leaf blister mite (Eriophyes vitis (Pagst.)) damage
  Aim of study: To develop a real-time detection system for grape leaf blister mite (Eriophyes vitis (Pagst.)), a significant pest in vineyards, using deep learning models. Early detection of pests and diseases is essential to mitigate agricultural losses, espec…
  crossref Tahsin Uygun, Mehmet Metin Ozguven, Ziya Altas 2026-08-25T10:40:51Z 置信度 0.70
• A two-layer TinyML approach aided by metaheuristics optimization for leveraging agriculture 4.0 and plant disease classification
  crossref Vesna Radojcic, Nebojsa Bacanin, Luka Jovanovic, Milos Dobrojevic 等 2025-11-10T10:17:41Z 置信度 0.70
• Channel State Information based Device Free Wireless Sensing for IoT Devices Employing TinyML
  crossref Ali M. Hayajneh, Sami Aldalahmeh, Syed Ali R. Zaidi, Des McLernon 等 2023-01-02T19:15:45Z 置信度 0.70
• NeuroLens: A Multimodal Mobile Platform for Early Parkinson's Disease Screening Using TinyML and Cross-Modal Feature Fusion
  crossref Niwanka Pathirathna, Chanuthi Savithma, Yasasvi Vilochana, Sriharan Saravanan 等 2026-07-16T21:47:53Z 置信度 0.70
• Implementation of Tiny Machine Learning (TinyML) as Pre-distorter for High Power Amplifier (HPA)Linearization of SDR-based MIMO-OFDM
  crossref Melki Mario Gulo, I Gede Puja Astawa, Amang Sudarsono, Naufal Ammar Priambodo 等 2023-09-12T17:26:59Z 置信度 0.70
• TinyML-based Edge Intelligence With Real-Time Earth Tremor Detection In Low-Power IoT Devices
  crossref Shaik Faizul Gaffar, D M Deepak, M Sai Sumanth, Y Bharath Babu 等 2026-08-17T19:23:18Z 置信度 0.70
• TinyTNAS: Time-Bound, GPU-Independent Hardware-Aware Neural Architecture Search for TinyML Time-Series Classification
  crossref Bidyut Saha, Riya Samanta, Ram Babu Roy, Soumya K. Ghosh 2025-04-17T13:41:43Z 置信度 0.70
• Trees have Ears: An Acoustic Surveillance and TinyML-Based for Detecting Illegal Logging
  crossref Ariel M Lorenzo, Rodrigo Barien, Neil Darwin Favila, Dennis Basa 等 2025-02-27T18:44:08Z 置信度 0.70
• Edge Computing Enabled Battery State of Charge(SoC) Estimation Using TinyML Techniques
  crossref Anshul Kumar Yadav, Rajesh Kumar, Anil Kumar Saini, P Ragupathy 等 2025-04-21T17:35:35Z 置信度 0.70
• The Future of PHM Could be Tiny under Cloud: Exploring Potential Application Patterns of TinyML in PHM Scenarios
  Deep learning has shown impressive performance acrosshealth management and prognostics applications. Nowadays, an emerging trend of machine learning deployment on resource constraint hardware devices like micro-controllers(MCU) has aroused much attention. Give…
  crossref Xingyu Zhou, Zhuangwei Kang, Robert Canady, Shunxing Bao 等 2021-11-24T17:12:24Z 置信度 0.70
• TinyML-Enabled MIoT-Based Real-Time Edge Health Monitoring Using EfficientDet-Lite
  This paper introduces an innovative approach in the realm of Intelligent Edge Computing and Industrial Internet of Things (IIoT) for medical applications. An automated IIOT-based adaptive infant monitoring system is proposed that combines lightweight deep lear…
  crossref R. Jansi, Aayush Sinha, Prasit Kumar Dutta 2026-05-13T12:47:26Z 置信度 0.70
• An Efficient Signal Processing using EfficientNetB4-Lite Supported Deepfake Detection in Spectral Sensing TinyML Environment
  crossref V. Saranya Devi, Mo'Ath Alluwaici, P. Adi Lakshmi, S.A. Shifani 等 2026-03-23T20:02:17Z 置信度 0.70
• FPGA-Based AI Accelerator for Real-Time Voice Command Recognition Using TinyML for Smart Home Applications
  crossref Nikam Pawan Anil, Rane Digamber Bhasker, Shaikh Shakil A., Mungase Shubham Balasaheb 等 2026-05-05T13:09:02Z 置信度 0.70
• TinyML-Powered Gesture Wizardry: Low-Cost, Low-Power Two-Stage CNN for Static Hand Gesture Classification on MCU in Appliance Control
  crossref Bidyut Saha, Riya Samanta, Soumya Kanti Ghosh, Ram Babu Roy 2025-03-05T11:49:51Z 置信度 0.70
• EdgeSense: A Hybrid TinyML and Deep Learning Framework for SNR-Aware Adaptive Data Rate in LoRaWAN
  crossref Muhammad Ali Lodhi, Xiaobing Sun, Khalid Mahmood, Anum Lodhi 2026-05-22T19:37:41Z 置信度 0.70
• TinyML Datasets as Enablers of 6G Edge Intelligence: Key Insights and Research Gaps
  crossref Nordine Quadar, Abdellah Chehri, Benoit Debaque 2026-02-02T20:46:29Z 置信度 0.70
• TinyML-Based Concept System Used to Analyze Whether the Face Mask Is Worn Properly in Battery-Operated Conditions
  As the COVID-19 pandemic emerged, everyone’s attention was brought to the topic of the health and safety of the entire human population. It has been proven that wearing a face mask can help limit the spread of the virus. Despite the enormous efforts of people …
  crossref Dominik Piątkowski, Krzysztof Walkowiak 2022-01-05T20:42:16Z 置信度 0.70
• TinyML for Smart Libraries
  This study is about Tiny Machine Learning (TinyML) as an affordable device, but it transforms the library systems across the developing nations. Nowadays artificial intelligence (AI) very much influences the library systems, and it has a very high cost and dep…
  crossref Payel Saha, Pradipta Dutta, Volina Podder 2026-08-26T21:03:56Z 置信度 0.70
• Survey on implementation of TinyML for real-time sign language recognition using smart gloves
  crossref Santosh Kumar B, Rachna P, Ritika Basavaraj Hiremath, Vanshika Sai Ramadurgam 等 2023-03-15T13:27:00Z 置信度 0.70
• iAirGuard: A Modular IoT Architecture with Dynamic Sampling and TinyML-Based Fault Detection for Air Quality Monitoring
  crossref Molay Mondal, Arko Datta, Prashanth Durgam, Astom Mondal 等 2026-03-10T19:50:41Z 置信度 0.70
• Neural Signal Compression using RAMAN tinyML Accelerator for BCI Applications
  crossref Adithya Krishna, Sohan Debnath, Madhuvanthi Srivatsav, André van Schaik 等 2026-03-17T20:23:05Z 置信度 0.70
• Capacitive Sensing Based On-board Hand Gesture Recognition with TinyML
  crossref Sizhen Bian, Paul Lukowicz 2021-09-24T17:56:03Z 置信度 0.70
• An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware
  crossref Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali 2021-11-15T22:58:02Z 置信度 0.70
• An Intelligent IoT Sensing System for Rail Vehicle Running States Based on TinyML
  crossref Shaoze Zhou, Yongkang Du, Bingzhi Chen, Yonghua Li 等 2022-09-15T19:32:43Z 置信度 0.70
• A Review of the Transition from Industry 4.0 to Industry 5.0: Unlocking the Potential of TinyML in Industrial IoT Systems
  The integration of artificial intelligence into the Industrial Internet of Things (IIoT), supported by edge computing architectures, marks a new paradigm of intelligent automation. Tiny Machine Learning (TinyML) is emerging as a key technology that enables the…
  crossref Margarita Terziyska, Iliana Ilieva, Zhelyazko Terziyski, Nikolay Komitov 2026-01-07T16:14:12Z 置信度 0.70
• Revisiting the Inference Time Optimization of TinyML for ARM-Based Microcontrollers
  As AI research advances, various performance optimization techniques have been studied for TinyML models on microcontrollers with very limited resources. In TinyML frameworks such as TFLM (TensorFlow Lite Micro) and NNOM (Neural Network on Microcontrollers), t…
  crossref Chan-Kyu Lee, Seung-Ryeol Ohk, Young-Jin Kim 2026-07-08T16:16:18Z 置信度 0.70
• Energy-Aware Compression and Consumption Algorithms for Efficient TinyML Model Using Aquila Optimization in Industrial IoT
  crossref Chaitanya Thuppari, Srikanth Jannu, Damodar Reddy Edla, Ankit Vidyarthi 等 2024-10-07T17:44:13Z 置信度 0.70
• Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification
  crossref Eslam Eldeeb, Mohammad Shehab, Hirley Alves, Mohamed-Slim Alouini 2025-04-03T14:11:18Z 置信度 0.70
• Enhancing Automotive Products with TinyML and MEMS Sensors: A Preliminary Approach
  crossref Lídia Sousa, Rui Silva, Hugo Peixoto, Pedro Melo-Pinto 等 2024-11-08T05:47:15Z 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, Alessandro Massi Pavan 等 2025-06-24T12:34:52Z 置信度 0.70
• RIOT-ML: toolkit for over-the-air secure updates and performance evaluation of TinyML models
  Abstract Practitioners in the field of TinyML lack so far a comprehensive, “batteries-included” toolkit to streamline continuous integration, continuous deployment and performance assessments of executing diverse machine learning models on various low-power Io…
  crossref Zhaolan Huang, Koen Zandberg, Kaspar Schleiser, Emmanuel Baccelli 2024-05-22T04:02:09Z 置信度 0.70
• Deployment of TinyML-Based Stress Classification Using Computational Constrained Health Wearable
  Stress has become a common mental health issue in modern society, causing individuals to experience acute behavioral changes. Exposure to prolonged stress without proper prevention and treatment may cause severe damage to one’s physiological and psychological …
  crossref Asma Abu-Samah, Dalilah Ghaffa, Nor Fadzilah Abdullah, Noorfazila Kamal 等 2025-02-12T08:05:42Z 置信度 0.70
• Demo Abstract: Shared-Column Im2col for Energy-Efficient TinyML Convolution on Microcontrollers
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