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• Tinyml-Empowered Climbing Robots for Real-Time Structural Defect Detection: Case Studies on Bolt and Tile Inspection
  crossref Tzu-Hsuan Lin 2025-08-19T18:06:18Z 置信度 0.70
• Cascaded TinyML-Based Reduction for the Anomaly Detection Model of an Industrial Combustion System
  crossref Iman Sharifirad, Jalil Boudjadar, Peter Gorm Larsen 2025-07-30T18:38:25Z 置信度 0.70
• A Study on Transfer Learning TinyML-Based Intrusion Detection Framework on IoT Devices
  crossref Jedidah Mwaura, Shunsuke Araki, Muhammad Bisri Musthafa, Samsul Huda 等 2025-03-27T02:16:58Z 置信度 0.70
• Localized Intelligence with Built In Confidentiality: A Policy Aligned Framework for Privacy Aware TinyML Systems
  The proliferation of intelligent applications on microcontrollers and low power devices has underscored the urgency for privacy preserving machine learning paradigms. Following this cloud-based infrastructure paradigm, where latency, privacy, and compliance co…
  crossref Mukul Mangla, Vihaan Bhatia 2025-06-10T06:31:32Z 置信度 0.70
• An Integer-Only Quantized Transformer with LayerNorm Removal and Linear Attention for Efficient MCU Deployment in TinyML Applications
  crossref Jaeyun Pyo, Dongkun Shin 2025-09-02T17:29:52Z 置信度 0.70
• Real Time Rail Vehicle Running State Monitoring System using TinyML and IoT
  crossref Gowri Shankar C, Gowthami D, Sivaprakasam M, Adhisankar K 等 2025-07-15T17:40:24Z 置信度 0.70
• Enhancing Drone-Based Precision Agriculture: Performance Optimization of TinyML Models on Edge Devices and Adaptive Path Planning
  crossref Yagna S. H. Annadata, Aiswariya Thazhathethil, Vishnuvaradhan Moganarengam, Tooraj Nikoubin 2025-01-31T19:37:37Z 置信度 0.70
• A Machine Learning-Assisted Recognition and Compensation Method for UWB Ranging Errors in Complex Indoor Environments.
  europepmc 2026 置信度 0.80
• A TinyML Deep Learning Approach for Indoor Tracking of Assets.
  Positioning systems have gained paramount importance for many different productive sector; however, traditional systems such as Global Positioning System (GPS) have failed to offer accurate and scalable solutions for indoor positioning requirements. Nowadays, …
  europepmc Diego Avellaneda, Diego Mendez, Giancarlo Fortino 2023 置信度 0.80
• LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices.
  europepmc 2021 置信度 0.80
• ILA-CSMA: Hybrid Sensing and Adaptive Fair Backoff for Large-Scale LoRa Networks.
  europepmc 2026 置信度 0.80
• Multi-Modality Adaptive Feature Fusion Graph Convolutional Network for Skeleton-Based Action Recognition.
  Graph convolutional networks are widely used in skeleton-based action recognition because of their good fitting ability to non-Euclidean data. While conventional multi-scale temporal convolution uses several fixed-size convolution kernels or dilation rates at …
  europepmc Haiping Zhang, Xinhao Zhang, Dongjin Yu, Liming Guan 等 2023 置信度 0.80
• An Efficient, Lightweight, Tiny 2D-CNN Ensemble Model to Detect Cardiomegaly in Heart CT Images.
  europepmc 2023 置信度 0.80
• A Wearable Multi-Modal Measurement System with Self-Developed IMUs and Plantar Pressure Sensors for Real-Time Gait Recognition.
  europepmc 2026 置信度 0.80
• Analysing Edge Computing Devices for the Deployment of Embedded AI.
  europepmc 2023 置信度 0.80
• A Novel CNN-ViT Model with Cascade Upsampling for Efficient Crack Segmentation.
  europepmc 2026 置信度 0.80
• Integrating Artificial Intelligence with Wearable Sensors for Advanced Health Monitoring and Diagnosis.
  europepmc 2026 置信度 0.80
• Advancements in SARS-CoV-2 Testing: Enhancing Accessibility through Machine Learning-Enhanced Biosensors.
  europepmc 2023 置信度 0.80
• Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles.
  Standard-sized autonomous vehicles have rapidly improved thanks to the breakthroughs of deep learning. However, scaling autonomous driving to mini-vehicles poses several challenges due to their limited on-board storage and computing capabilities. Moreover, aut…
  europepmc Miguel de Prado, Manuele Rusci, Alessandro Capotondi, Romain Donze 等 2021 置信度 0.80
• Combined Use of Microwave Sensing Technologies and Artificial Intelligence for Biomedical Monitoring and Imaging.
  europepmc 2026 置信度 0.80
• Review of large YOLOv8 and RT-DETR energy efficiency on edge devices for real-time detection.
  europepmc 2026 置信度 0.80
• Energy-Oriented Wireless Communication Platform Selection System in the Internet of Things.
  europepmc 2026 置信度 0.80
• The Design and Optimization of an Acoustic and Ambient Sensing AIoT Platform for Agricultural Applications.
  europepmc 2023 置信度 0.80
• A Fall Detection using Sound Technology Based on TinyML
  crossref Kun Fang, Zhanyi Xu, Yanli Li, Julong Pan 2022-04-15T19:28:32Z 置信度 0.70
• TinyML and IoT-enabled system for automated chicken egg quality analysis and monitoring
  crossref Omoy Kombe Hélène, Martin Kuradusenge, Louis Sibomana, Ipyana Issah Mwaisekwa 2025-07-07T12:10:04Z 置信度 0.70
• Introduction to the Special Issue on tinyML
  crossref Theocharis Theocharides, Charlotte Frenkel, Lukas Cavigelli 2024-05-11T12:13:43Z 置信度 0.70
• Internet of Things Challenges and the Emerging Technology of TinyML
  crossref Vasileios Tsoukas, Anargyros Gkogkidis, Athanasios Kakarountas 2023-09-27T17:31:41Z 置信度 0.70
• TinyML-Enabled Intelligent Edge Computing Framework for Energy-Efficient and Low-Power IoT Applications
  ABSTRACT Tiny Machine Learning (TinyML) has emerged as a transformative technology that enables the deployment of machine learning models on ultra-low-power microcontrollers and resource-constrained Internet of Things (IoT) devices. By performing data processi…
  crossref Dr B Rajanna, Marka Meghana, Madagani Akhilesh 2026-07-10T08:21:17Z 置信度 0.70
• A Systematic Review of State-of-the-Art TinyML Applications in Healthcare, Education, and Transportation
  crossref Chaymae Yahyati, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui 等 2025-11-24T19:01:12Z 置信度 0.70
• Contextual IoT Service Discovery: TinyML vs. Deep Learning
  crossref Rafael Teixeira, Mário Antunes, Diogo Gomes, Rui L. Aguiar 2026-08-26T19:09:11Z 置信度 0.70
• TinyML Based Stress Detection utilizing PPG Signals: A Lightweight Approach for Smart Wearable Devices
  crossref Priyanka Ganesan, Yogeswar Reddy Thota, Hashem Shehata, Tooraj Nikoubin 2025-06-27T13:58:23Z 置信度 0.70
• WIP: Assessing 21st Century Skills of High School Students in a Machine Learning Workshop with TinyML
  crossref Algeir P. Sampaio, Paulo C. M. A. Farias, Roberto A. Bittencourt 2026-01-13T20:56:24Z 置信度 0.70
• TinyML Model for Classifying Hazardous Volatile Organic Compounds Using Low-Power Embedded Edge Sensors: Perfecting Factory 5.0 Using Edge AI
  crossref Mohammed Zubair Mohammed Shamim 2022-08-24T15:29:58Z 置信度 0.70
• Real-time Prediction Method of Remaining Useful Life Based on TinyML
  crossref Hongbo Liu, Ping Song, Youtian Qie, Yifan Li 2022-09-05T20:31:54Z 置信度 0.70
• Edge Based Predictive Maintenance Using a TinyML Temporal Convolutional Transformer for NASA Turbofan Remaining Useful Life Estimation
  crossref Abdellah Benbelghit, Ahmed Bali, Abdelouahed Gherbi, Pierre-Emmanuel Hladik 2026-07-21T19:11:34Z 置信度 0.70
• Examination of TinyML Approach in ESP32-Based NFC Applications
  crossref Nikola Mitrović, Sandra Veljković, Miloš Marjanović, Emilija Živanović 等 2025-11-19T18:43:24Z 置信度 0.70
• Uncertainty-Aware Continual TinyML Driver Fatigue Detection with Kolmogorov–Arnold Networks at the IoT Edge
  Driver fatigue is a major cause of road accidents, and in-cabin monitoring is increasingly embedded into the Internet-of-Things (IoT) ecosystem of modern vehicles. Deploying such monitoring directly on microcontroller-class devices is challenging: models must …
  crossref Chaymae Yahyati, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui 等 2026-07-08T14:27:23Z 置信度 0.70
• Fault Detection using TinyML, Design and Control of Three-Phase Two-Level Inverter
  crossref Cyril Zacharias, John Jose, Muhammed Zain, Nafis Muhib Noushad 等 2024-10-01T17:23:12Z 置信度 0.70
• A real-time price recognition system using lightweight deep neural networks on mobile devices
  crossref Musa Peker, Melek Turan, Hüseyin Özkan, Cevat Balaban 等 2024-06-07T08:41:56Z 置信度 0.70
• TinyML for Edge Devices: Current State, Technological Advancements, and Future Opportunities
  crossref Anil Kumar Lamba, Dharmendra Pal, Sakshi Koli, Nagendar Yamsani 等 2026-04-23T19:57:13Z 置信度 0.70
• TinyML Classification for Agriculture Objects with ESP32
  Using systems with machine learning technologies for process automation is a global trend in agriculture. However, implementing this technology comes with challenges, such as the need for a large amount of computing resources under conditions of limited energy…
  crossref Danila Donskoy, Valeria Gvindjiliya, Evgeniy Ivliev 2025-10-02T10:22:32Z 置信度 0.70
• Energy-Efficient TinyML Framework for Real-Time Anomaly Detection in Embedded Electronic Devices
  crossref Siddharth Arora, B R Gagana, Fahim Khan, Harshit Srivastava 等 2026-07-13T20:01:34Z 置信度 0.70
• TinyML-Driven Edge Computing for Landslide Prediction and Monitoring
  crossref Rudrakumar Madhu, Abhishek Joshi 2026-04-19T22:24:16Z 置信度 0.70
• Inteligência Artificial em Dispositivos Embarcados - Proposta de Detecção de Anomalias em Processos Industriais Utilizando TinyML
  crossref Danilo Rodrigues Dantas, Adriana Monteiro Martani, Victor Inácio de Oliveira 2025-12-17T14:00:14Z 置信度 0.70
• TinyML-enabled edge implementation of transfer learning framework for domain generalization in machine fault diagnosis
  crossref Supriya Asutkar, Chaitravi Chalke, Kajal Shivgan, Siddharth Tallur 2022-10-21T12:41:11Z 置信度 0.70
• Tinyml Nlp Scheme for Semantic Wireless Sentiment Classification with Privacy Preservation
  crossref Ahmed Y. Radwan, Mohammad Shehab, Mohamed-Slim Alouini 2025-06-26T17:40:15Z 置信度 0.70
• TinyML-Driven Spam Classification Framework for AVs Communication in 5G-Enabled V2X Networks
  crossref Yashvi Shah, Khushi Vasava, Dharma Trivedi, Parishi Shah 等 2025-09-04T18:18:11Z 置信度 0.70
• Embedded Artificial Intelligence for Intelligent Diagnosis of Skin Lesions Using TinyML
  crossref Belkhiri Ali, El Khoukhi Hasnae, Sabri My Abdelouahed, Farhaoui Yousef 2026-06-08T19:49:03Z 置信度 0.70
• Assessing the Feasibility and Efficacy of TinyML Based Voice-Activated LED Lighting System for Smart Village Micro-Utilities
  crossref Mudra Narasimharao, Biswaranjan Swain, Praveen Priyaranjan Nayak, Satyanarayan Bhuyan 2023-09-20T17:34:56Z 置信度 0.70
• A TinyML model for sidewalk obstacle detection: aiding the blind and visually impaired people
  crossref Ahmed Boussihmed, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh 等 2024-09-02T22:02:13Z 置信度 0.70
• WhisperNet: An On-Device TinyML Architecture for Real-Time Anomaly Detection in Industrial Machinery
  crossref Shoba G, Ezhilvendan M, Sherine Glory J, Sadhasivam M 等 2026-06-03T19:38:22Z 置信度 0.70
• A TinyML-Based IoT Device for Advanced Shipping Monitoring
  crossref Andrea Albanese, Danilo Gotta, Davide Brunelli 2025-03-07T23:59:48Z 置信度 0.70
• TinyML-Driven On-Device Personalized Human Activity Recognition and Auto-Deployment to Smart Bands
  crossref Bidyut Saha, Riya Samanta, Soumya Kanti Ghosh, Ram Babu Roy 2024-05-17T11:49:10Z 置信度 0.70
• TinyML-based approach for Remaining Useful Life Prediction of Turbofan Engines
  crossref Georgios Athanasakis, Gabriel Filios, Ioannis Katsidimas, Sotiris Nikoletseas 等 2022-11-03T23:02:42Z 置信度 0.70
• Energy-Efficient TinyML Approach for Wearable Fall Detection on Edge Devices Using Spatial-Temporal Deep Learning
  crossref Luong-Cong Duan, Nguyen-Ngoc Minh, Truong-Cao Dung, Tran-T-Thuc Linh 2026-05-29T10:38:32Z 置信度 0.70
• TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors
  crossref Z. Huang, A. Tousnakhoff, P. Kozyr, R. Rehausen 等 2024-10-07T13:42:20Z 置信度 0.70
• Voice-activated home automation system for IoT edge devices using TinyML
  Abstract Home automation systems are popular because they enhance the quality of life and the way users interact with the environment. Deploying complex machine learning models on Internet of Things (IoT) devices with limited resources is still difficult. This…
  crossref Timothy Malche, Sandeep Budhani, Pramod Kumar Soni, Govind Murari Upadhyay 2025-06-06T08:05:59Z 置信度 0.70
• GenCPruneX: Adaptive Channel-wise Pruning for Efficient TinyML Deployment with Genetic Multi-Objective Optimization
  crossref Bidyut Saha, Riya Samanta, Soumya K. Ghosh, Ram Babu Roy 2025-02-20T20:05:58Z 置信度 0.70
• Privacy‐Preserving Techniques in <scp>TinyML</scp> for <scp>IoT</scp>
  crossref Oleksandr Kuznetsov, Emanuele Frontoni, Kateryna Kuznetsova, Marco Arnesano 等 2025-12-30T08:09:13Z 置信度 0.70
• Optimized FLOPs-Aware Knowledge Distillation for TinyML Applications in Agriculture
  crossref Arjay Alba, Jocelyn Villaverde, Amor Lacara, Jovita Domingo 等 2025-03-27T02:20:52Z 置信度 0.70
• Integrated Safety Helmet with TinyML for RealTime Anomaly Detection in Aviation Crew
  crossref Sakthi Kumar B, Logitha Luckshmi V J, Nagalakshmi S, Nandhakishore C 等 2026-01-21T21:06:06Z 置信度 0.70
• A TinyML Reinforcement Learning Approach for Energy-Efficient Light Control in Low-Cost Greenhouse Systems
  crossref Mohamed Abdallah Salem, Manuel Cuevas Perez, Ahmed Harb Rabia 2025-11-27T18:54:58Z 置信度 0.70
• PhD Forum Abstract: TinyML-Based Edge Anomaly Detection for Energy-Efficient Appliance Monitoring in the Built Environment
  crossref Abdulrahman Albaiz 2025-11-11T12:21:55Z 置信度 0.70
• Automated tomato leaf disease detection and alert system using Internet of Things and TinyML
  crossref Timothy Malche, Mukesh Joshi, Govind Murari Upadhyay, Pramod Kumar Soni 2025-12-09T12:55:21Z 置信度 0.70
• End-to-End TinyML Vibration Sensing: Quantized ResCNN on STM32L4 with SD-Card Logging and Secure LoRaWAN
  crossref Valentin-Dimitrie Popescu, Mircea Giurgiu, Jason Harrell 2026-05-20T19:48:55Z 置信度 0.70
• Federated learning and TinyML on IoT edge devices: Challenges, advances, and future directions
  crossref Montaser N.A. Ramadan, Mohammed A.H. Ali, Shin Yee Khoo, Mohammad Alkhedher 2025-06-19T11:20:51Z 置信度 0.70
• HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms
  crossref Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda 等 2023-09-15T13:31:31Z 置信度 0.70
• Quantifying Energy–Accuracy–Latency Trade-offs in Cloud-Offloaded and On-Device TinyML Inference on IoT Devices
  crossref Horia Alexandru Modran, Gabriel Mihail Danciu 2025-11-14T18:46:39Z 置信度 0.70
• Evaluation of the energy viability of smart IoT sensors using TinyML for computer vision applications: A case study
  TinyML technology emerges from the intersection of Machine Learning, Embedded Systems, and Internet of Things (IoT), and presents itself as a solution for various IoT fields. For this technology to be successfully applied to embedded devices, it is essential t…
  crossref Maxwell Eduardo Monteiro, Adriel Monti De Nardi 2023-06-02T05:25:02Z 置信度 0.70
• A Secure TinyML–Digital Twin enabled Framework for Resource-Constrained Smartwatch Healthcare in Edge–Cloud Networks
  Smartwatches have transformed personal health monitoring, with devices from Apple and Samsung now tracking blood pressure, oxygen saturation, glucose levels, calorie expenditure, and body temperature. However, existing smartwatch-based healthcare systems strug…
  crossref Abdullah Raza Lakhan, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Haydar Abdulameedr Marhoon 等 2026-02-03T18:38:09Z 置信度 0.70
• Cognitive IoT and Edge Computing for Intrusion Detection with Federated TinyML
  crossref Mingyan Li, Paul Laiu, Jeff A. Nichols, Mike Huettel 等 2025-08-12T17:51:53Z 置信度 0.70
• iCrop+: An Edge-boosted Crop Disease Detection System via TinyML and LoRa Communication
  crossref Xu Tao, Jackson Butcher, Simone Silvestri, Sajal K. Das 2025-06-19T17:36:08Z 置信度 0.70
• TinyML-Enabled Static Hand Gesture Recognition System Based on an Ultra-Low Resolution Infrared Array Sensor and a Low-Cost AI Chip
  crossref Wenji Dai, Le Zhou 2022-10-04T19:54:19Z 置信度 0.70
• TinyML for Cybersecurity: Deploying Optimized Deep Learning Models for On-Device Threat Detection on Resource-Constrained Devices
  crossref Sonali Arcot, Mohammad Masum, Mohammad Shahidul Kader, Agnik Saha 等 2025-01-16T18:31:23Z 置信度 0.70
• A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces
  crossref Adithya Krishna, Vignesh Ramanathan, Satyapreet Singh Yadav, Sahil Shah 等 2024-01-18T18:27:59Z 置信度 0.70
• Real-time anomaly detection for industrial conveyors using multi-task deep learning and TinyML
  crossref Alcides Fernandes, Hugo Landaluce, Ignacio Angulo 2026-03-20T17:00:21Z 置信度 0.70
• TinyML-Based Real-Time Drift Compensation for Gas Sensors Using Spectral–Temporal Neural Networks
  The implementation of low-cost sensitive and selective gas sensors for monitoring fruit ripening and quality strongly depends on their long-term stability. Gas sensor drift undermines the long-term reliability of low-cost sensing platforms, particularly in pre…
  crossref Adir Krayden, M. Avraham, H. Ashkar, T. Blank 等 2025-06-20T11:23:24Z 置信度 0.70
• UTILIZAÇÃO DE CLASSIFICAÇÃO DE IMAGENS EM TINYML PARA AUXÍLIO NA ALIMENTAÇÃO DE AVES
  crossref Luísa Gaino Faria, Mariana Natalie Tonini de Melo, Egon Luiz Muller 2024-05-09T18:44:24Z 置信度 0.70
• Design and Evaluation of a Compact VGG-Inspired CNN for Keyword Spotting in Resource-Constrained TinyML Systems
  This paper investigates the design and evaluation of compact convolutional neural networks (CNNs) for keyword spotting (KWS) and acoustic event detection under the stringent constraints of the TinyML paradigm. The research expands upon traditional binary class…
  crossref Wilson Gustavo Chango, Mayra Barrera, Daniel Maldonado-Ruiz, Julio Balarezo 等 2026-05-13T12:46:55Z 置信度 0.70
• Development and evaluation of a TinyML-based sensor fusion system for medical waste classification on low-cost embedded devices
  Background: Medical waste management in resource-limited healthcare facilities remains dominated by manual segregation, which is error-prone and difficult to standardize. Existing automated solutions often rely on cloud-based deep learning or high-cost hardwar…
  crossref Dini Afriani, Irfan Fadil 2026-05-06T03:14:21Z 置信度 0.70
• TinyML-Driven Lightweight Trojan Detection Framework for Smart Grid Wireless Security
  crossref Bhavya Shah, Devansh Shah, Dhiraj Chandel, Rajesh Gupta 等 2026-02-11T20:54:50Z 置信度 0.70
• A TinyML Approach for Quantification of BOD and COD in Water
  crossref Sanket Soni, Aleefia Khurshid, Anushree Mrugank Minase, Ashlesha Bonkinpelliwar 2023-06-02T19:32:05Z 置信度 0.70
• Eyes on You: TinyML-Powered On-Device Face Tracking for Low-Cost, Low-Power, Secure MCU Environments
  crossref Riya Samanta, Bidyut Saha, Soumya K. Ghosh, Ram Babu Roy 2025-02-20T20:05:58Z 置信度 0.70
• Securing Radiation Detection Systems with an Efficient TinyML-Based IDS for Edge Devices
  crossref Einstein Pizarro, Wajiha Zaheer, Li Yang, Khalil El-Khatib 等 2025-07-29T18:16:48Z 置信度 0.70
• Um Algoritmo de Compressão de Dados baseado em TinyML para Internet das Coisas
  crossref Gabriel Signoretti, Marianne Silva, Pedro Andrade, Ivanovitch Silva 2022-02-21T02:04:30Z 置信度 0.70
• Enhancing Edge Analytics Using TinyML and IoT: Toward Energy-Efficient and Intelligent Data Processing in Distributed Environments
  crossref Mariam Mahmoud Hagag 2025-11-05T09:44:44Z 置信度 0.70
• TinyAP: An Intelligent Access Point to Combat Wi-Fi Attacks Using TinyML
  crossref Anand Agrawal, Rajib Ranjan Maiti 2024-09-25T19:29:33Z 置信度 0.70
• TinyML-Based Edge Intelligent Controller for Real-Time Microgrid Monitoring, Fault Detection, and Stability Enhancement
  This study introduces an edge-based intelligent controller for microgrid stability, leveraging a TinyML framework on ESP32 with ZMPT101B voltage and ACS712 current sensors for continuous monitoring and fault identification. Traditional microgrid protection sys…
  crossref Mrs. J. Jesulin Rachel, Priyanka C, Thireka V, Sruthi K 等 2026-04-30T05:48:16Z 置信度 0.70
• An Unsupervised TinyML Approach with Efficient Edge AI for Effective Stress and Sleep Monitoring
  crossref M Sudha, P.Neelaveni, E Pooja, V Mangaiyarkarasi 等 2025-11-28T18:40:32Z 置信度 0.70
• An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
  &lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Condition monitoring plays a crucial role in the automotive space because they reduce the downtime and maintenance costs by preventing sudden catastrophic breakdown of vehicles. Conditio…
  crossref Kovuru Sai Charan 2022-10-05T05:02:22Z 置信度 0.70
• Understanding mushroom farm environment using TinyML-based monitoring devices
  Abstract The optimization of environmental conditions in mushroom cultivation is pivotal for maximizing yield and quality. A Smart Environmental Monitoring System for Mushroom Farms is presented in this paper that makes use of advanced Tiny Machine Learning (T…
  crossref Segun Adebayo, Halleluyah Oluwatobi Aworinde, Oluranti Olayinka Olufemi, Christian Okechukwu Osueke 等 2025-03-26T23:11:56Z 置信度 0.70
• Advancing TinyML in IoT: A Holistic System-Level Perspective for Resource-Constrained AI
  Resource-constrained devices, including low-power Internet of Things (IoT) nodes, microcontrollers, and edge computing platforms, have increasingly become the focal point for deploying on-device intelligence. By integrating artificial intelligence (AI) closer …
  crossref Leandro Antonio Pazmiño Ortiz, Ivonne Fernanda Maldonado Soliz, Vanessa Katherine Guevara Balarezo 2025-06-12T03:59:17Z 置信度 0.70
• Prototipe AI-IoT Edge Berbasis Raspberry Pi dan TinyML untuk Pemantauan Jaringan Kampus secara Real-Time
  Complex campus networks featuring server-based services and the growing Internet of Things (IoT) require near-real-time monitoring systems without incurring significant overhead. This study proposes a lightweight Artificial Intelligence-Internet of Things (AI-…
  crossref Bima Aulia Firmandani, F Yudi Limpraptono, Michael Ardhita, Machrus Ali 2026-05-12T20:35:09Z 置信度 0.70
• Widening Access to Applied Machine Learning with TinyML
  crossref Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney 等 2022-01-27T13:41:07Z 置信度 0.70
• <scp>TinyML</scp> Power Consumption and Memory in IoT MCUs
  crossref Peter Anuoluwapo Gbadega, Agbotiname Lucky Imoize, Richard Govada Joshua, Samuel Oluwatobi Tofade 2025-12-30T08:09:13Z 置信度 0.70
• TinyML-based Real-Time System for Detecting Falls in Elderly People
  crossref Ch.Rajendra Prasad, G V Naga Satwik, E Phaneeshwari, Ramu Moola 等 2024-09-18T17:51:47Z 置信度 0.70
• Energy-aware tinyML model selection on zero energy devices
  crossref Adnan Sabovic, Jaron Fontaine, Eli De Poorter, Jeroen Famaey 2025-01-31T12:24:39Z 置信度 0.70
• A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption
  crossref Marcus Rüb, Philipp Tuchel, Axel Sikora, Daniel Mueller-Gritschneder 2024-08-26T17:24:30Z 置信度 0.70
• TinyVLM: A Distilled and Quantized Vision-Language Model for Efficient Food Image-Text Retrieval in TinyML Settings
  crossref Podakanti Satyajith Chary, Pithani Teja Venkata Ramana Kumar, Nagarajan Ganapathy 2026-03-10T19:50:41Z 置信度 0.70
• TinyML based Classification of Fetal Heart Rate using Mother’s Abdominal ECG Signal
  crossref Shanur Rahman, Yusuf Ahmed Khan, Yash Pratap Singh, Sayyed Arif Ali 等 2023-02-01T14:33:53Z 置信度 0.70