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• A Review on the emerging technology of TinyML
  Tiny Machine Learning (TinyML) is an emerging technology proposed by the scientific community for developing autonomous and secure devices that can gather, process, and provide results without transferring data to external entities. The technology aims to demo…
  crossref Vasileios Tsoukas, Anargyros Gkogkidis, Eleni Boumpa, Athanasios Kakarountas 2024-04-30T11:56:16Z 置信度 0.70
• TinyML-based Event Detection: An Edge-Cloud Approach for Smart Agriculture over LoRa WSNs
  crossref Aristeidis Karras, Christos Karras, Anastasios Giannaros, Konstantinos C. Giotopoulos 等 2024-03-21T18:08:07Z 置信度 0.70
• Joint Optimization Risk Factor and Energy Consumption in IoT Networks With TinyML-Enabled Internet of UAVs
  crossref Run Liu, Mande Xie, Anfeng Liu, Houbing Song 2024-01-01T19:55:26Z 置信度 0.70
• Design and Implementation of a Multi-Parameter Health Monitoring SoC using RISC-V and TinyML for Real-Time Edge-Based Diagnostics
  crossref Sahana B, Manju Devi, Neha S, Soubhagya M 2026-02-25T20:53:55Z 置信度 0.70
• A Joint Survey in Decentralized Federated Learning and TinyML: A Brief Introduction to Swarm Learning
  TinyML/DL is a new subfield of ML that allows for the deployment of ML algorithms on low-power devices to process their own data. The lack of resources restricts the aforementioned devices to running only inference tasks (static TinyML), while training is hand…
  crossref Evangelia Fragkou, Dimitrios Katsaros 2024-11-12T03:53:14Z 置信度 0.70
• Cost-Effective TinyML-Ready Design and Field Deployment of a Solar-Powered Environmental Monitoring Data Collector Using LTE-M Communication
  Environmental monitoring is essential for smart agriculture, renewable energy assessment, and climate-aware farm management. However, deploying autonomous sensing platforms in rural environments remains challenging because of energy constraints, communication …
  crossref Emanuel-Crăciun Trînc, Valentin Niţă, Cristina Stolojescu-Crisan, Cosmin Ancuţi 等 2026-03-27T11:12:25Z 置信度 0.70
• Quantized ID-CNN for a Low-power PDM-to-PCM Conversion in TinyML KWS Applications
  crossref Paola Vitolo, Gian Domenico Licciardo, Anna Chiara Amendola, Luigi Di Benedetto 等 2022-09-05T20:21:42Z 置信度 0.70
• TinyML Fault Detection in Water Pump Systems: Leveraging Acoustic Analysis on the Edge
  crossref Thommas K. S. Flores, Thiago C. Jesus, João Carlos N. Bittencourt, Ivanovitch Silva 等 2026-08-19T19:09:26Z 置信度 0.70
• Embedded AI and TinyML: A Practical Analysis of Workflows and Libraries
  crossref Ander Garcia, Javier Tardos, Juan Luis Ferrando, Daniel Aguinaga 等 2025-02-17T18:27:57Z 置信度 0.70
• XimSwap: Many-to-Many Face Swapping for TinyML
  The unprecedented development of deep learning approaches for video processing has caused growing privacy concerns. To ensure data analysis while maintaining privacy, it is essential to address how to protect individuals’ identities. One solution is to anonymi…
  crossref Alberto Ancilotto, Francesco Paissan, Elisabetta Farella 2023-06-01T11:00:15Z 置信度 0.70
• TinyML Custom AI Algorithms for Low-Power IoT Data Compression: A Bridge Monitoring Case Study
  crossref Thaís Medeiros, Miguel Amaral, Matheus Targino, Marianne Silva 等 2023-07-18T13:29:39Z 置信度 0.70
• Detecting Gesture Language for Deaf and Mute People Usingon Ultra-Low-Power TinyML Model
  crossref Basel A. Dabwan, Mukti E. Jadhav, Omar A. Ismil, Eman A. Hassan 等 2024-10-01T17:23:43Z 置信度 0.70
• A TinyML solution for an IoT-based communication device for hearing impaired
  crossref S. Sharma, R. Gupta, A. Kumar 2024-01-08T20:29:31Z 置信度 0.70
• Towards Rapid Exploration of Heterogeneous TinyML Systems using Virtual Platforms and TVM's UMA
  crossref Samira Ahmadifarsani, Rafael Stahl, Philipp van Kempen, Daniel Mueller-Gritschneder 等 2024-06-10T12:43:58Z 置信度 0.70
• Edge AI-enabled dynamic power factor correction using TinyML, blockchain and IoT for real-time smart grid optimization and industrial applications
  This work presents a comprehensive design and implementation of an AI-enabled Smart Power Factor Correction (PFC) System that integrates advanced technologies such as Machine Learning (ML), Deep Learning, IoT, Edge Computing, and Blockchain with conventional P…
  crossref Ch. Gochhayat Prakash, Md Afam, Alam Sk Md Tanvir, K. Mallick Gaurav 等 2026-01-27T10:59:37Z 置信度 0.70
• MST and MPT: Lightweight Incremental Algorithms for Multivariate Anomaly Detection and Correction on TinyML Devices
  crossref Morsinaldo Medeiros, Thaís Medeiros, Marianne Silva, Ivanovitch Silva 等 2025-10-21T17:07:47Z 置信度 0.70
• TinyML Motion Classification System for Low-Power Smart Bracelets: Deployment and Energy Optimization of Ultra-Lightweight DNNs on MCUs
  crossref Junchen Hou, Kang Shao, Lianhao Wang 2026-01-28T20:57:39Z 置信度 0.70
• Low-Power Real-Time TinyML Approach for Pothole and Speed Bump Classification Using IMU Data on FPGA
  crossref César Melo, Pedro Delgado, Gabriel Carvalho, Rui Silva 等 2026-03-30T20:03:31Z 置信度 0.70
• Bin Occupancy Estimation in Warehouses With a TinyML Vision Sensor
  crossref Rubens de A. Fernandes, Hendrio Bragança, Wallace Cavalcante, Raimundo C. S. Gomes 等 2025-07-23T18:45:39Z 置信度 0.70
• R ² T-Tiny: Runtime-Reconfigurable Throughput-Optimized TinyML for Hybrid Inference Acceleration on FPGA SoCs
  crossref Georgios Mentzos, Valentin Alexander Frey, Konstantinos Balaskas, Georgios Zervakis 等 2025-11-20T18:39:34Z 置信度 0.70
• PolluSenseCheck: Cost Effective TinyML-based Air Quality Monitoring System with In-Built Sensor Fault Detection
  crossref Arko Datta, Joyita Chakraborty, Pabitra Majhi, Astom Mondal 等 2025-02-20T20:05:58Z 置信度 0.70
• Efficient and secure <i>µ</i>-Training and <i>µ</i>-Fine-Tuning for edge-based TinyML with future-guided self-distillation
  crossref Zhaojing Huang, Leping Yu, Luis Fernando Herbozo Contreras, Omid Kavehei 2025-07-31T08:03:30Z 置信度 0.70
• Thermal Camera Prototype for Predictive Maintenance in Photovoltaic Applications Based on TinyML Embedded System
  crossref N. Blasuttigh, A. Mellit, A. Massi Pavan, M. Zennaro 2025-01-30T17:42:30Z 置信度 0.70
• RIMIX: RISC-V Core with MIXed-Precision SIMD Instruction Extensions Supported by Oracle-Assisted Sub-Network Search for Efficient TinyML
  crossref Jiyong Park, Dahoon Park, Yeeun Hong, Jaeha Kung 2025-12-03T18:39:13Z 置信度 0.70
• TINYML: A cutting-edge technology revolutionizing machine learning in healthcare
  crossref E Edith Esther, P Shobha Rani, N Kamal 2025-01-25T08:03:51Z 置信度 0.70
• Adaptive Lightweight Security for TinyML Driven Unmanned Aerial Vehicles in Smart Cities
  crossref Norziana Jamil, Kaleab Nega, Muhammad Haikal Rozaidi, Parag Kulkarni 等 2025-12-19T18:56:15Z 置信度 0.70
• Quantum–Tinyml Neural Compression for Real-Time Medical Imaging
  crossref Pinnamaraju Sahitya, M. Ramya, Sunil Manohar Reddy K, Senthilkumar Aandi 等 2026-01-13T20:55:18Z 置信度 0.70
• TinyML on Microcontrollers: Enabling Energy-Efficient, Real-Time, Privacy-Preserving Incremental Learning for Embedded Systems
  crossref Govarthan V, M. Thangamani, R. Aarthi, S. Satheesh 等 2025-12-30T18:35:51Z 置信度 0.70
• FlEdge-CAN: Federated Learning with Edge-TinyML for Autonomous Internet of Vehicle Security
  crossref Farhan Ahmad Nafis, Maiesha Fahomida, Sk Tahmed Salim Rafid, Nusaiba Khan 等 2026-05-06T19:37:56Z 置信度 0.70
• EPIC: A Sub-6mW in-Memory Computing-Based RISC-V Microcontroller Unit with on-Chip Training Support for TinyML
  crossref Chuan-Tung Lin, Seunghyun Moon, Paul Xuanyuanliang Huang, Mingoo Seok 2025-11-05T18:37:29Z 置信度 0.70
• TensorFlores: An enhanced Python-based TinyML framework
  crossref Thommas K.S. Flores, Daniel G. Costa, Ivanovitch Silva 2025-06-23T07:27:07Z 置信度 0.70
• An edge-deployable TinyML approach enhanced by transfer learning for efficient bearing fault diagnosis
  crossref Zheng Gao, Zhichao Jiang, Zefang Dong, Xianpeng Fu 等 2025-11-08T08:14:52Z 置信度 0.70
• Decentralised Reputation Tracking using TinyML for Task Recommendation in Spatial Crowdsourcing
  crossref Md Mujibur Rahman, Md Mehedi Hasan, Mohammad Mustaneer Rahman, Md Khalilur Rahman Farhad 等 2025-09-24T17:31:44Z 置信度 0.70
• TinyML-Based Object Detection on Smart Blind Stick for Visually Impaired Person
  crossref Parama Diptya Widayaka, Pradini Puspitaningayu, Sayyidul Aulia Alamsyah, Endryansyah Endryansyah 等 2025-12-16T18:29:20Z 置信度 0.70
• TinyML Acceleration with MAX78000
  crossref Ali Dabbous, Luca Lazzaroni, Francesco Bellotti, Sara Muñoz Presentación 等 2025-01-02T17:34:50Z 置信度 0.70
• Real-Time Stress Detection from Raw Noisy PPG Signals Using LSTM Model Leveraging TinyML
  crossref Amin Rostami, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari 2024-05-07T11:01:58Z 置信度 0.70
• TinySenseNet: A Lightweight sEMG-IMU Fusion Network Using TinyML for Mechanical Arm Control in Low-Resource Settings
  crossref Fazlay Rabby, Md. Rifat Aknda, Mumtahina Tasnim Mahi, Shaikh Radwan Ahmed Ratul 等 2026-02-12T20:57:13Z 置信度 0.70
• ĐÁNH GIÁ HIỆU SUẤT CỦA CÁC MÔ HÌNH PHÂN LOẠI HÌNH ẢNH TINYML LƯỢNG TỬ HÓA TRÊN NỀN TẢNG UAV MÔ PHỎNG CHO ỨNG DỤNG GIÁM SÁT NÔNG NGHIỆP
  UAV mang lại khả năng thu thập dữ liệu và giám sát thời gian thực trong nông nghiệp. Tuy nhiên, việc triển khai AI tiên tiến, đặc biệt là học sâu, trên UAV bị hạn chế bởi tài nguyên tính toán, bộ nhớ và năng lượng. Nghiên cứu này nghiên cứu về hiệu suất của cá…
  crossref Hoàng Trọng Nghĩa 2025-10-29T08:34:46Z 置信度 0.70
• TinyML-based Secure Energy Efficient Framework for CAVs Communication in 5G-Based V2X Networks
  crossref Parishi Shah, Mohammad S. Obaidat, Lakshin Pathak, Dhrishita Parve 等 2025-10-31T17:09:54Z 置信度 0.70
• Combining epsilon-greedy reinforcement learning based gradient sparsification and siamese neural networks for few-shot federated tinyML intrusion detection in IoT
  crossref Pietro Fusco, Francesco Palmieri, Massimo Ficco 2025-11-05T03:54:16Z 置信度 0.70
• Temporal Fusion Transformer-Based RUL Prediction for Battery Life with TinyML Integration
  crossref Dhanush Kotalony, S. Jagadeesh Babu, Subhasri Duttagupta 2026-05-03T23:33:50Z 置信度 0.70
• BiomedBench: A Benchmark Suite of TinyML Biomedical Applications for Low-Power Wearables
  crossref Dimitrios Samakovlis, Stefano Albini, Rubén Rodríguez Álvarez, Denisa-Andreea Constantinescu 等 2024-10-17T13:42:10Z 置信度 0.70
• TinyML model compression: A comparative study of pruning and quantization on selected standard and custom neural networks
  crossref Muhammad Yasir Shabir, Gianluca Torta, Ferruccio Damiani 2025-10-25T09:52:35Z 置信度 0.70
• Benchmarking TinyML Encrypted Federated Learning with Secret Sharing in Medical Computer Vision
  crossref Ruduan B. F. Plug, Putu H. P. Jati, Samson Y. Amare, Mirjam van Reisen 2025-12-30T08:09:13Z 置信度 0.70
• Online On-Device Adaptation of Linguistic Fuzzy Models for TinyML Systems
  Background: Many everyday electronic devices incorporate embedded computers, allowing them to offer advanced functions such as Internet connectivity or the execution of artificial intelligence algorithms, giving rise to Tiny Machine Learning (TinyML) and Edge …
  crossref Javier Martín-Moreno, Francisco A. Márquez, Ana M. Roldán, Antonio Peregrín 2025-12-12T15:27:20Z 置信度 0.70
• Neural Architecture Search for Optimized TinyML Applications
  crossref Abbas Kassem Zein, Rand Abou Diab, Mohamad Yaacoub, Ali Ibrahim 2025-03-07T23:59:24Z 置信度 0.70
• DiabSecure: Federated-TinyML-enabled unified Privacy-Preserving Framework for Diabetes Risk Assessment using Zero-Trust Blockchain
  crossref Parshva Shah, Prince Jayantibhai Tandel, Aparna Kumari, Sunil Kumar 等 2025-08-01T18:07:25Z 置信度 0.70
• Optimized Neural Architecture for Wearable Health Devices using Edge-Level TinyML
  crossref Pavan Kumar Reddy Manellore, M Archana, K. Deepthi Reddy, V N V L S Swathi 等 2025-10-20T17:48:22Z 置信度 0.70
• Design and Experimental Verification of a TinyML-based MPPT Controller for Wind Energy Conversion Systems
  The energy conversion efficiency of wind energy conversion systems (WECS) critically depends on the Maximum Power Point Tracking (MPPT) controller’s ability to maintain the turbine at its optimal power output under fluctuating wind conditions. Traditional cont…
  crossref Dung A. Hoang, Hoang V. Tu, Manh V. Nguyen, Hai V. Pham 2025-08-06T05:01:31Z 置信度 0.70
• Quantum Variational Autoencoder with TinyML Adaptive Neural Compression for Real-Time Medical Image Transmission on Edge Devices
  crossref Kota Venkateswara Rao, P. Namratha, B. Prasanthi, K. Anil Kumar 等 2026-03-31T19:49:17Z 置信度 0.70
• Swarm Smarts: Enabling Real-Time Self-Healing With TinyML at the Edge
  crossref Haotian Wu, Jiwei Zhang, Minxi Feng, Minghui Dai 等 2026-03-06T21:03:46Z 置信度 0.70
• <scp>TinyML</scp> ‐Enabled Active Stability Co‐Evolution: A Lightweight Ensemble for Fault Diagnosis on <scp>IIoT</scp> ‐Connected Ultra‐High‐Pressure Waterjet Equipment
  ABSTRACT The Industrial Internet of Things (IIoT) has enabled large‐scale heterogeneous sensor deployment on ultra‐high‐pressure waterjet (UHPW) equipment, creating urgent demand for on‐device intelligence capable of operating reliably under communication cons…
  crossref Xiangze Li, Yijun Hou 2026-06-03T00:54:09Z 置信度 0.70
• TinyML-Enabled Resource-Efficient Framework for Real-Time Network Securiy in Electric Vehicle Charging Networks
  crossref Fatemeh Dehrouyeh, Ibrahim Shaer, Soodeh Nikan, Firouz Badrkhani Ajaei 等 2025-12-18T18:34:35Z 置信度 0.70
• Non-Invasive Continuous Real-Time Blood Glucose Estimation Using PPG Features-based Convolutional Autoencoder with TinyML Implementation
  crossref Noor Faris Ali, Alyazia Aldhaheri, Bethel Wodajo, Meera Alshamsi 等 2024-07-02T17:22:52Z 置信度 0.70
• (POSTER) Insights from Executing TinyML Models on Smartphones and Microcontrollers
  crossref Harman M. Singh, Shrishailya Agashe, Shreyans Jain, Surjya Ghosh 等 2023-09-27T17:31:41Z 置信度 0.70
• Efficient Air Quality Index Prediction on Resource-Constrained Devices using TinyML: Design, Implementation, and Evaluation
  crossref Arko Datta, Aniruddha Pal, Ranbir Marandi, Nilanjan Chattaraj 等 2024-01-22T18:08:30Z 置信度 0.70
• Hyperparameters Optimization Using GridSearchCV Method for TinyML Models
  crossref Tobiasz Puślecki, Krzysztof Walkowiak 2023-11-30T10:01:54Z 置信度 0.70
• H-RT-IDPS: A Hierarchical Real-Time Intrusion Detection and Prevention System for the Smart Internet of Vehicles via TinyML-Distilled CNN and Hybrid BiLSTM-XGBoost Models
  The integration of connected vehicles into smart city infrastructure introduces critical cybersecurity challenges for the Internet of Vehicles (IoV), where resource-constrained vehicles and powerful roadside units (RSUs) must collaborate for secure communicati…
  crossref Ikram Hamdaoui, Chaymae Rami, Zakaria El Allali, Khalid El Makkaoui 2025-12-05T16:37:02Z 置信度 0.70
• ViT-Reg: Regression-Focused Hardware-Aware Fine-Tuning for ViT on TinyML Platforms
  crossref Md Ragib Shaharear, Arnab Neelim Mazumder, Tinoosh Mohsenin 2024-12-23T14:24:08Z 置信度 0.70
• TinyML based monitoring and diagnosis system to enable the European battery digital passport
  crossref Emanuele Ogliari, Marco Mussetta, Marco Carratù, Vincenzo Paciello 等 2026-02-17T21:05:10Z 置信度 0.70
• Development of a TinyML-based Device for Automatic Detection of Poultry Diseases using Chicken Vocalizations
  Poultry farming provides essential protein but faces challenges from diseases that affect bird welfare and farm economics. Traditional detection methods are slow and costly, underscoring the need for real-time, low-cost solutions enabled by precision livestock…
  crossref Minh Nguyen-Ngoc, Bien Nguyen-Quang, Duan Luong-Cong 2026-07-31T18:50:33Z 置信度 0.70
• Efficient solid waste inspection through drone‐based aerial imagery and <scp>TinyML</scp> vision model
  Abstract Solid waste management is a significant challenge in the development of smart cities. Existing approaches for solid waste monitoring are often time‐consuming and resource intensive. Therefore, this study proposes a novel approach to solid waste monito…
  crossref Timothy Malche, Priti Maheshwary, Pradeep Kumar Tiwari, Ahmed Hussein Alkhayyat 等 2023-10-23T04:39:16Z 置信度 0.70
• Application of TinyML in Virtual Sensors for Monitoring Air Quality in Industrial Environments
  crossref Tayco Rodrigues, Gabriel Germano, Karla Sophia Cruz, Frede Carvalho 等 2026-05-21T17:24:16Z 置信度 0.70
• Cross-Layer Resource Optimization for Ultra-Low-Power TinyML Inference on ARM Cortex-M Microcontrollers
  Running neural networks on battery-powered Internet of Things (IoT) sensor nodes is difficult because flash memory, SRAM, latency, and energy per inference are limited at the same time. Existing TinyML co-design methods usually improve model size or memory use…
  crossref Abdulaziz G. Alanazi, Haifa A. Alanazi, Nasser S. Albalawi 2026-07-03T07:59:47Z 置信度 0.70
• Edge-AI Framework for Fire Detection in Wildland-Urban Interface using TinyML
  crossref Rodrigo Santa Comba Coelho da Silva, João Carlos N. Bittencourt, Daniel G. Costa 2025-10-21T17:07:47Z 置信度 0.70
• The Problem of Optimizing Telepresence Suit Traffic Using TinyML
  crossref Viktoria Dmitrieva, Oleg Vtorov, Alexander Brushinin, Artem Volkov 等 2026-07-14T22:04:54Z 置信度 0.70
• Classroom Activity Detection Using TinyML
  crossref Satwik Devle, Yogesh Jadhav, Vaibhav Maske, Siddheshwar Das 等 2025-10-01T01:00:28Z 置信度 0.70
• Energy-Efficient Resource Accounting for IoT-Based AMI Using Federated Reinforcement Learning and TinyML Optimization
  crossref Nitin Thapliyal, Anzar Ahmad, Jyoti Kaurav, Nozima Dusmukhammedova 等 2026-05-11T19:44:42Z 置信度 0.70
• Integrated Underwater Data Transmission and Object Detection System Using TinyML and Multi-Hop Networks
  crossref Ch Madhu Bhushan, S H Laskar, Jahnava Sai Garikapati, P Sai Srihitha 等 2025-08-26T19:04:22Z 置信度 0.70
• A TinyML based Portable, Low-Cost Microwave Head Imaging System for Brain Stroke Detection
  crossref Muhammad Hashir, Nazish Khalid, Nasir Mahmood, Muhammad A. Rehman 等 2023-07-21T13:19:44Z 置信度 0.70
• A Guided Task and Obstacle Alert Robot System Based on TinyML and Augmented Reality
  crossref Xiangyu Zhu, Rui Li, Jia Hu, Hui Zhang 等 2022-10-12T22:13:51Z 置信度 0.70
• TinyML-Based Federated Learning: A Novel Framework for Privacy-Preserving Smart Healthcare Applications
  This paper presents an optimized integration framework combining Tiny Machine Learning (TinyML) and Federated Learning (FL) for privacy-preserving smart healthcare applications. While building upon established techniques, our contribution lies in their synergi…
  crossref Manas Kumar Yogi, K. V. V. L. S. Karthik, Pasupuleti Sri Durga Tanuja Gayatri 2026-04-07T03:00:13Z 置信度 0.70
• TinyML Olive Fruit Variety Classification by Means of Convolutional Neural Networks on IoT Edge Devices
  Machine learning (ML) within the edge internet of things (IoT) is instrumental in making significant shifts in various industrial domains, including smart farming. To increase the efficiency of farming operations and ensure ML accessibility for both small and …
  crossref Ali M. Hayajneh, Sahel Batayneh, Eyad Alzoubi, Motasem Alwedyan 2023-12-01T10:39:48Z 置信度 0.70
• SecureQNN: Shielding the Intellectual Property of QNNs in TinyML Systems
  crossref Miguel Costa, Tiago Gomes, Sandro Pinto 2025-08-19T18:17:12Z 置信度 0.70
• Zero-Shot NAS for TinyML Semantic Segmentation via Weight Sharing
  crossref Zhuoran Xiong, Warren J. Gross, Brett H. Meyer 2026-01-29T21:24:07Z 置信度 0.70
• A Novel FastKAN With Few-Shot Learning for Real-Time Driver Distraction Detection on TinyML Microcontrollers
  crossref Chaymae Yahyati, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui 等 2026-01-21T21:11:10Z 置信度 0.70
• TeleSure: TinyML-Based Framework for Secure UAV Delivery in Telesurgery Systems with 5G
  crossref Lakshin Pathak, Mohammad S. Obaidat, Khushi Vasava, Vidhi Ruparelia 等 2025-08-01T18:07:25Z 置信度 0.70
• Multipath Attention and Adaptive Gating Network for Video Action Recognition
  Abstract 3D CNN networks can model existing large action recognition datasets well in temporal modeling and have made extremely great progress in the field of RGB-based video action recognition. However, the previous 3D CNN models also face many troubles. For …
  crossref Haiping Zhang, Zepeng Hu, Dongjin Yu, Liming Guan 等 2024-03-27T07:03:24Z 置信度 0.70
• Lightweight TinyML-Enhanced Task Offloading in VANETs for Next-Generation Intelligent Transportation Systems
  crossref Muhammad Ali, Tariq Qayyum, Asadullah Tariq, Zouheir Trabelsi 等 2026-07-16T21:52:09Z 置信度 0.70
• Artificial Intelligence for the Classification of Plastic Waste Utilizing TinyML on Low-Cost Embedded Systems
  BCG's implementation of the economy makes Thailand more environmentally conscious. The consolidation policy encourages consumers to eliminate single-use plastics using the 3Rs. This article introduces a solution to reduce plastic waste drastically using artifi…
  crossref Jutarut Chaoraingern, Vittaya Tipsuwanporn, Arjin Numsomran 2024-01-14T00:05:50Z 置信度 0.70
• Smart Irrigation System for Precision Farming Using IoT, TinyML, Hybrid GSM and WiFi and Chatbot
  Water scarcity and non-efficient irrigation practices reduces the productivity in agricultural field and the conservation of resources. This paper presents a smart irrigation framework which integrates IoT-based sensing, an ESP32 microcontroller with TinyML ca…
  crossref Austy B Evangeline, Alen M Alex, R S Saran, Sharfin J 2026-01-06T18:39:57Z 置信度 0.70
• Artificial Intelligence for the Classification of Plastic Waste Utilizing TinyML on Low-Cost Embedded Systems
  BCG's implementation of the economy makes Thailand more environmentally conscious. The consolidation policy encourages consumers to eliminate single-use plastics using the 3Rs. This article introduces a solution to reduce plastic waste drastically using artifi…
  crossref Jutarut Chaoraingern, Vittaya Tipsuwanporn, Arjin Numsomran 2024-01-14T03:20:04Z 置信度 0.70
• UAV-Assisted Partial Co-Operative NOMA-Based Resource Allocation in CV2X and TinyML-Based Use Case Scenario
  crossref Garima Chopra, Shalli Rani, Wattana Viriyasitavat, Gaurav Dhiman 等 2024-01-09T20:42:15Z 置信度 0.70
• TinyML: The NextGen AI Technology for Standalone Devices
  crossref Satishkumar Kataria, Pankaj Prajapati, Sachin Gajar, Amit Rathod 2026-06-17T12:05:17Z 置信度 0.70
• Resource-Efficient TinyML Framework for Real-Time Fault Diagnosis in Solar Charge Controllers using 8-bit Quantized Neural Networks
  crossref S M Shaif Mahamud Shemon, Tama Fouzder, Anopa Rani Ghosh, Farhan Shadik 2026-08-27T19:07:45Z 置信度 0.70
• iMCU: A 28-nm Digital In-Memory Computing-Based Microcontroller Unit for TinyML
  crossref Chuan-Tung Lin, Paul Xuanyuanliang Huang, Jonghyun Oh, Dewei Wang 等 2024-02-14T13:47:13Z 置信度 0.70
• Expanding Applications of TinyML in Versatile Assistive Devices: From Navigation Assistance to Health Monitoring System Using Optimized NASNet-XGBoost Transfer Learning
  crossref Sreenu Ponnada, Tan Kuan Tak, Pravin R. Kshirsagar, P. Srinivasa Rao 等 2024-11-12T13:44:26Z 置信度 0.70
• An Intelligent Microprocessor Integrating TinyML in Smart Hotels for Rapid Accident Prevention
  crossref Angelos Zacharia, Dimitris Zacharia, Aristeidis Karras, Christos Karras 等 2022-11-03T21:41:14Z 置信度 0.70
• TinyML-Based AQI Forecasting Using CNN with Butterworth Low-Pass Filter for Edge Devices
  crossref Ch Madhu Bhushan, Alekhya Lankavalasa, Hanchete Lahari Bai, Firoj Gazi 等 2026-05-08T19:37:10Z 置信度 0.70
• PersASR: A 2.3-μJ/frame 96.8%-accurate TinyML Automatic Speech Recognition Processor with Data Augmentation-Driven Personalization in 16-nm FinFET
  crossref Seunghyun Moon, Jinho Park, Chuan-Tung Lin, SeongHwan Cho 等 2026-05-15T02:52:39Z 置信度 0.70
• TinyML-Enabled Unsupervised Ultrasonic Guided Wave SHM Under Varying Thermal Conditions
  crossref Pankhi Kashyap, Kajal Shivgan, Sheetal Patil, Sagar Mahajan 等 2023-10-09T18:21:54Z 置信度 0.70
• Identificação de equipamentos eletroeletrônicos e monitoramento de carga não invasivo utilizando TinyML
  crossref Erick Alves Ferreira, Fábio de Oliveira da Silva, Gabriel Alves dos Anjos, Thiago Silva Ribeiro 等 2026-05-25T18:28:52Z 置信度 0.70
• A TinyML System for Early Screening of CHD on ESP32
  crossref Wang Hao, Hou Chengyu, Zhang Kuang, Qu Zheng 等 2026-04-28T19:49:18Z 置信度 0.70
• Microarchitecture Aware Neural Architecture Search for TinyML Devices
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• <scp>GMR</scp> ‐Based Eddy‐Current Sensing and Embedded <scp>TinyML</scp> for Advanced Crack‐Shape Characterization
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