边缘智能 · 全部实体（第 14 / 100 页）

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• TinyML Smart Sensor for Energy Saving in Internet of Things Precision Agriculture platform
  crossref Chollet Nicolas, Bouchemal Naila, Ramdane-Cherif Amar 2022-07-20T15:37:36Z 置信度 0.70
• Resource-aware edge deployment and trade-off analysis of TinyML classifiers for IoT health monitoring on an ESP32 microcontroller
  crossref Hashim Ali, Muhammad Tahir Akhtar 2026-08-13T14:45:26Z 置信度 0.70
• Edge Analytics with TinyML Technique for MIoT Applications for Personalized Healthcare in Smart Nation
  crossref D. Jeya Mala, T.V. Padmavathy, A. Pradeep Reynold, Maragatha Meena 2024-01-19T13:39:22Z 置信度 0.70
• Aprendizado de Máquina com TinyML na Educação Básica: Um Relato de Experiência
  Em nossa sociedade moderna, as oportunidades no mercado de trabalho destacam cada vez mais, qualificações e habilidades com base no domínio das novas tecnologias. A inteligência artificial e o aprendizado de máquina são algumas destas tecnologias que permeiam …
  crossref Algeir P. Sampaio, Paulo C. M. A. Farias, Roberto A. Bittencourt 2023-12-20T08:04:56Z 置信度 0.70
• Illuminating Pneumonia: Explainable TinyML-Based Pneumonia Diagnosis Framework for Digital Health
  crossref Ziyankhan Pathan, Sakshi Chavda, Deep Joshi, Rajesh Gupta 等 2026-05-15T03:06:29Z 置信度 0.70
• Systematic Review of TinyML at the Edge: Optimization, Applications, and Hardware Ecosystem
  The Internet of Things (IoT) is growing rapidly, making it even more crucial to deploy Machine Learning (ML) models directly on edge devices with limited resources. TinyML fixes this matter by giving microcontroller-class hardware the ability to think for itse…
  crossref Very Kurnia Bakti, Arif Setyanto, Alva Hendi Muhammad, Ferry Wahyu Wibowo 2026-07-30T12:54:09Z 置信度 0.70
• Advanced IoT-Based Fire and Smoke Detection System leveraging Deep Learning and TinyML
  crossref Vineet Kumar Pandey, Sweta Jain, Sri Khetwat Saritha 2023-11-23T18:54:40Z 置信度 0.70
• Multiplierless In-filter Computing for tinyML Platforms
  crossref A.R. Nair, P.K. Nath, S. Chakrabartty, C.S. Thakur 2024-04-02T18:38:37Z 置信度 0.70
• TinyML Enabled Passwordless Web Authentication Using On-Device Biometric Inference on Resource Constrained Hardware
  crossref Yogeswar Reddy Thota, Jay Kamleshbhai Pandya 2026-08-06T19:11:31Z 置信度 0.70
• Design and Implementation of a TinyML-based Predictive Hybrid MPPT System for Photovoltaic Application
  crossref A.Ferminus Raj, Sangaman R, Thirulokeshh. S 2026-08-24T19:17:54Z 置信度 0.70
• TinyML-Powered Handwritten Digit Recognition Device for the Visually Impaired
  Accessing information in an easily understandable format remains a significant challenge for visually impaired individuals. Conventional handwritten digit recognition systems often rely on computationally intensive models, limiting their deployment on portable…
  crossref Abdullateef Ogundipe, Temiloluwa Ifeoluwapo Oloye, Abdul Rasak Zubair 2026-01-01T06:25:41Z 置信度 0.70
• Localized Adaptive Channel and Power Selection With TinyML (LACPSA) in Dense IEEE 802.11 WLANs
  crossref Khalid Ibrahim Qureshi, Cheng Lu, Ruoheng Luo, Muhammad Ali Lodhi 等 2024-12-17T19:07:41Z 置信度 0.70
• A TinyML Approach to Human Activity Recognition
  Abstract Human Activity Recognition has been a favorite topic for the scholars not only because of its wide scale acceptance in the industry but areas which may help in medical and in our normal household works as well. Since to make this technology available …
  crossref Shubham Gupta, Dr. Sweta Jain, Bholanath Roy, Abhishek Deb 2022-06-06T11:40:31Z 置信度 0.70
• BandX : An Intelligent IoT-band for Human Activity Recognition based on TinyML
  crossref Bidyut Saha, Riya Samanta, Soumya Ghosh, Ram Babu Roy 2023-01-03T16:17:12Z 置信度 0.70
• Implementation of Cyber Threat Intelligence Platform on Internet of Things (IoT) using TinyML Approach for Deceiving Cyber Invasion
  crossref Abir Dutta, Shri Kant 2021-11-10T23:41:14Z 置信度 0.70
• Isolation Forest Based TinyML for Detecting Hardware Trojans on FPGA in Real Time
  crossref Mani Rupak Gurram, Mithun Kumar PK, Fathi Amsaad 2024-12-16T14:15:14Z 置信度 0.70
• Federated and Privacy-Preserving Edge-TinyML Framework for Secure Cardiac Drug Response Monitoring Using Embedded Hardware– Software Co-Design
  The rapid advancement of intelligent healthcare technologies and wearable biomedical devices has significantly increased the demand for secure and real-time cardiac drug response monitoring systems capable of operating efficiently in decentralized healthcare e…
  crossref Anupama P. Patil 2026-06-08T11:11:36Z 置信度 0.70
• FSL-TM: Review on the Integration of Federated Split Learning with TinyML in the Internet of Vehicles
  crossref Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal 2025-12-01T09:18:27Z 置信度 0.70
• Assessing the Efficacy of TinyML Implementations on STM32 Microcontrollers: A Performance Evaluation Study
  crossref Diouani Ali, El Hamdi Ridha, Njah Mohamed 2024-08-23T17:42:30Z 置信度 0.70
• Addressing Data Privacy Concerns in IoT Architecture with Federated Learning and TinyML
  The rapid extension of the Internet of Things (IoT) has introduced significant concerns, particularly in ensuring data security and safeguarding sensitive and private data. The integration of Federated Learning into IoT architecture has occurred as a covenanti…
  crossref Hiba Kandil, Hafssa Benaboud 2026-03-31T09:50:32Z 置信度 0.70
• Decoupled Access-Execute Enabled DVFS for TinyML Deployments on STM32 Microcontrollers
  crossref Elisavet Lydia Alvanaki, Manolis Katsaragakis, Dimosthenis Masouros, Sotirios Xydis 等 2024-08-14T17:28:02Z 置信度 0.70
• A Praying Gesture Recognition System Based on TinyML
  crossref Chun-Hung Yang, Hui-Yen Lin, Ting-Kuei Chang, Ping-Chen Tsai 等 2024-09-18T17:51:53Z 置信度 0.70
• Accurate Estimation of the CNN Inference Cost for TinyML Devices
  crossref Thomas Garbay, Khalil Hachicha, Petr Dobias, Wilfried Dron 等 2022-10-10T20:23:18Z 置信度 0.70
• Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles
  crossref Miguel de Prado, Manuele Rusci, Romain Donze, Alessandro Capotondi 等 2021-04-27T21:33:36Z 置信度 0.70
• Penerapan ESP32-CAM dan TinyML dalam Klasifikasi Gambar Buah dan Sayuran
  crossref Johni Revormasi Ziliwu, Gogor C Setyawan, Haeni Budiati 2024-06-11T01:45:14Z 置信度 0.70
• TinyML Demonstration of Time-series Prediction and Vision-based Gesture Recognition
  crossref Syed Mujibul Islam, Jayeeta Mondal, Shalini Mukhopadhyay, Abhishek Roychoudhury 等 2024-05-17T11:49:10Z 置信度 0.70
• Theory Is Cool But So Are Microcontrollers: Computer Science Student Reactions to Arduino TinyML
  crossref Ourania Spantidi 2026-02-13T15:15:58Z 置信度 0.70
• TinyML Based Detection of Alcohol Induced Abnormalities Using ECG Signals and Metadata
  crossref Sujit R Shinde, Sushrut Lingayat, Karan Bhavsar, Sanjay Kimbahune 等 2026-05-05T20:01:05Z 置信度 0.70
• Smart Objects
  crossref Ioannis Katsidimas, Thanasis Kotzakolios, Sotiris Nikoletseas, Stefanos H. Panagiotou 等 2023-01-24T23:37:10Z 置信度 0.70
• Dataset distillation as an enabling technique for on-device training in TinyML for IoT: an RFID use case
  crossref Andrea Giovanni Accettola, Massimo Merenda 2023-08-01T18:02:05Z 置信度 0.70
• Robotic Recyclables Segregation System using TinyML
  crossref Aafil Shaikh, Linard Fernandes, Mckenzie Cardozo, Neil Rodrigues 等 2025-01-21T18:22:47Z 置信度 0.70
• Dual-Layer Intrusion Detection for EVSE Networks: A TinyML-Driven Security Framework
  crossref Gowtham Raj Rachakonda, Madhuri Siddula, Om Prakash Yadav, Olusola Odeyomi 等 2026-02-04T20:45:15Z 置信度 0.70
• SpongePad-AI: TinyML-Guided Scratchpad + DMA Ping-Pong Runtime for Predictable Edge DSP/AI Kernels
  crossref Sai Srevarshan Suresh, Pranav Arakkal, Rajesh Kannan Megalingam 2026-03-04T20:48:26Z 置信度 0.70
• Edge ML vs. TinyML: A Comparative Analysis with Experimental Results on Power Efficiency and Model Optimization
  crossref Moez Altayeb, Marco Zennaro, Pietro Manzoni 2026-02-04T20:45:15Z 置信度 0.70
• A Simulation-First Methodology for Sustainable TinyML Design: Reducing Embedded Prototyping Waste and Operational Energy
  crossref N. Vivekanandan, K. Rajeswari 2026-04-20T20:05:57Z 置信度 0.70
• TinyML-Based Speech Emotion Recognition on Microcontrollers Using Quantized CNNs and Mel-Filterbank Energy Features
  This paper presents a real-time, resource-efficient Speech Emotion Recognition (SER) system trained on a modified version of the Toronto Emotional Speech Set (TESS) that includes both male and female voice samples for five emotional labels—Angry, Disgust, Fear…
  crossref Mir Muhammad Abidul Haq Ahnaf 2026-07-15T02:22:16Z 置信度 0.70
• A Tinyml-Augmented Inertial Navigation System for Real-Time Drift Ompensation on an STM32 Microcontroller
  Low-cost MEMS-based inertial navigation systems (INS) suffer from nonlinear and time-varying gyroscope bias drift, leading to cumulative orientation errors in long-duration applications. Traditional sensor fusion algorithms assume constant bias and do not comp…
  crossref Vignesh N, Nithishwaran G, Raghul Raj A, Ezhumalai A 2026-05-08T10:41:42Z 置信度 0.70
• Edge Intelligence for Wildlife Conservation: Real-Time Hornbill Call Classification Using TinyML
  crossref Kong Ka Hing, Mehran Behjati, Vala Saleh, Yap Kian Meng 等 2025-04-03T01:34:23Z 置信度 0.70
• Industrial Visual Inspection with TinyML for High-Performance Quality Control
  crossref Andrea Albanese, Davide Brunelli 2023-10-23T18:12:53Z 置信度 0.70
• Edge-Optimized TinyML Framework for Post-Harvest Apple Grading and Quality Assessment
  crossref Sapna Jakhar, A. Subeesh, Naveen Chauhan 2026-06-22T13:46:30Z 置信度 0.70
• Enhancement in IoT through Custom Instruction Set Architectures and TinyML: Review
  crossref Sandhya P, Priya Chandran 2023-09-29T17:35:45Z 置信度 0.70
• Secure 6G Edge Intelligence Using Federated Distillation: Compression-Resilient TinyML Under Non-IID Data for Industrial Cyber-Defence
  crossref Hammad Ali, Zahiya Zahid, James Adu Ansere, Mohsin Kamal 2026-06-30T20:40:35Z 置信度 0.70
• TINY MACHINE LEARNING (TINYML) FOR INTELLIGENT INTERNET OF THINGS DEVICES: ARCHITECTURES, APPLICATIONS, CHALLENGES, AND FUTURE PERSPECTIVES
  The rapid growth of the Internet of Things (IoT) has created an increasing demand for intelligent data processing directly on resource-constrained devices. Traditional cloud-based artificial intelligence solutions often introduce latency, bandwidth consumption…
  crossref Noah E. Sullivan, Sana H. Mahmood, Yuki R. Matsuda 2026-07-13T08:37:06Z 置信度 0.70
• A TinyML-based Alcohol Impairment Detection System For Vehicle Accident Prevention
  crossref Anargyros Gkogkidis, Vasileios Tsoukas, Athanasios Kakarountas 2022-11-04T01:41:14Z 置信度 0.70
• TinyML powered UAV inspection for solar panel monitoring with optimized path planning
  crossref Sundarrajan Munusamy, Akshya Jothi, Aruna Murugesan, Rajesh Kumar Dhanaraj 等 2026-02-27T21:10:20Z 置信度 0.70
• TinyML Security: Attacks, Defenses, and Open Challenges in Resource-Constrained Machine Learning Systems
  Tiny Machine Learning (TinyML) enables machine learning inference on microcontrollers with kilobytes of memory and megahertz processors, two to three orders of magnitude more constrained than conventional edge devices. These extreme limitations render traditio…
  crossref Jacob Huckelberry, Yuke Zhang, Allison Sansone, James Mickens 等 2026-02-21T09:47:47Z 置信度 0.70
• Meta-Learning for Rapid Adaptation of TinyML Models on Heterogeneous IoT Sensors
  crossref Kalaiyarasi V, Satish N, Saranya E, Akash A 等 2026-03-31T19:49:27Z 置信度 0.70
• Explainable TinyML for Intrusion Detection in Automated Manufacturing Communication Systems
  crossref Rimmi Sharma, Mohammad S. Obaidat, Shratik Rathor, Lakshin Pathak 等 2026-08-04T19:17:34Z 置信度 0.70
• Fully Autonomous Z-Score-Based TinyML Anomaly Detection on Resource-Constrained MCUs using Power Side-Channel Data
  crossref Abdulrahman Albaiz, Fathi Amsaad 2026-06-05T19:37:46Z 置信度 0.70
• TinyML optimization for activity classification on the resource-constrained body sensor BI-Vital
  crossref Kevin Penner, Felix Wittenfeld, Bastian Steinhagen, Marc Hesse 等 2023-12-01T18:17:25Z 置信度 0.70
• MetaTinyML: End-to-End Metareasoning Framework for TinyML Platforms
  crossref Mozhgan Navardi, Edward Humes, Tinoosh Mohsenin 2024-12-05T19:08:48Z 置信度 0.70
• Investigation of Security Vulnerabilities in NVM-Based Persistent TinyML Hardware
  crossref Bhanprakash Goswami, Chithambara J. Moorthii, Harshit Bansal, Ayan Sajwan 等 2024-11-12T13:42:01Z 置信度 0.70
• A Review of Photoplethysmography-Based Blood Pressure Monitoring: From Cloud-Based Machine Learning to TinyML Edge Deployment
  crossref Nour Faris Ali, Hasan Al-Nashash, Ibrahim M. Elfadel, Mohamed Atef 2025-12-02T18:49:26Z 置信度 0.70
• LimitAccess: on-device TinyML based robust speech recognition and age classification
  Abstract Automakers from Honda to Lamborghini are incorporating voice interaction technology into their vehicles to improve the user experience and offer value-added services. Speech recognition systems are a key component of smart cars, enhancing convenience …
  crossref Marina Maayah, Ahlam Abunada, Khawla Al-Janahi, Muhammad Ejaz Ahmed 等 2023-02-23T17:14:57Z 置信度 0.70
• TinyML-Oriented Workflow for VOC Classification: Breath-Acetone Case Study with Ethanol and Ammonia as Interferents
  crossref Xenia Azareth Ayón-Gómez, Ulises Jesús Tamayo-Pérez, Enrique Efrén García-Guerrero, Oscar Adrián Aguirre-Castro 等 2026-06-21T22:46:57Z 置信度 0.70
• Implementation of sign language recognition with TinyML using smart gloves
  crossref Santosh Kumar, Rachna Poongodan, Ritika Basavaraj Hiremath, Vanshika Sai Ramadurgam 等 2024-03-19T13:00:24Z 置信度 0.70
• Energy-Aware TinyML for Adaptive LTE-M Communication in Solar-Powered IoT Systems
  crossref Emanuel-Crăciun TrÎNc, Valentin Adrian NiŢĂ, Răzvan Mihai, Cristian Paţachia SultĂNoiu 2026-07-03T19:50:24Z 置信度 0.70
• Lite-Agro 2.0: Integrating Federated and TinyML in Pear Disease Classification IoAT-Edge AI
  crossref Catherine Dockendorf, Alakananda Mitra, Saraju P. Mohanty, Elias Kougianos 2024-03-21T17:53:35Z 置信度 0.70
• Edge Computing in Smart Agriculture Scenario Based on TinyML for Irrigation Control
  crossref Carlos Hernández Hidalgo, Aurora González-Vidal, Antonio F. Skarmeta 2024-05-30T17:38:40Z 置信度 0.70
• TINYML-ENABLED INTELLIGENT EDGE COMPUTING FRAMEWORK FOR ENERGY-EFFICIENT AND LOW-POWER IOT APPLICATIONS
  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 processing and in…
  crossref Marka Meghana, Madagani Akhilesh, Dr B Rajanna 2026-07-16T05:42:03Z 置信度 0.70
• A Dataset and TinyML Model for Coarse Age Classification Based on Voice Commands
  crossref Ahmad Dziaul Islam Abdul Kadir, Ahmed Al-Haiqi, Norashidah Md Din 2021-12-16T20:44:02Z 置信度 0.70
• TinyML-Based Adaptive Cache Optimization for Low-Power Embedded Systems
  crossref Ramani Bai V, Nafeesa A S, Paul M Martin, Sona Deyo 等 2026-06-19T19:38:35Z 置信度 0.70
• A real-time American Sign Language (ASL) alphabet recognition system for assistive communication using TinyML
  Sign language is a critical communication tool for individuals with hearing impairments. This study focuses on developing a hand gesture recognition system to identify the American Sign Language (ASL) static alphabet using a Convolutional Neural Network (CNN) …
  crossref Makhosazana Moyo, Kago Letlhaku 2025-11-25T08:54:10Z 置信度 0.70
• A lightweight transformer with uncertainty handling for zero-shot epileptic seizure detection on TinyML edge devices
  crossref Chaymae Yahyati, Ismail Lamaakal, Khalid El Makkaoui, Ibrahim Ouahbi 2026-06-21T03:25:16Z 置信度 0.70
• Machine Learning-Enhanced NDIR Methane Sensing Solution for Robust Outdoor Continuous Monitoring Applications.
  europepmc 2025 置信度 0.80
• Edge-Computing Smart Irrigation Controller Using LoRaWAN and LSTM for Predictive Controlled Deficit Irrigation.
  europepmc 2025 置信度 0.80
• Cycle based state of health estimation of lithium ion cells using deep learning architectures.
  europepmc 2025 置信度 0.80
• Self-Organizing Neural Grove for Malware Detection in IoT Edge Devices.
  europepmc 2026 置信度 0.80
• Design and Implementation of ESP32-Based Edge Computing for Object Detection.
  europepmc 2025 置信度 0.80
• Enhancing Real-World Fall Detection Using Commodity Devices: A Systematic Study.
  europepmc 2025 置信度 0.80
• Lightweight convolutional neural network for real-time earthquake P-wave detection on edge devices in New Zealand.
  europepmc 2026 置信度 0.80
• From Static to Dynamic: Complementary Roles of FSR and Piezoelectric Sensors in Wearable Gait and Pressure Monitoring.
  europepmc 2025 置信度 0.80
• Decoding Poultry Welfare from Sound-A Machine Learning Framework for Non-Invasive Acoustic Monitoring.
  europepmc 2025 置信度 0.80
• The Development of a Wearable-Based System for Detecting Shaken Baby Syndrome Using Machine Learning Models.
  europepmc 2025 置信度 0.80
• Edge-enabled IoT framework for real-time tobacco quality monitoring.
  europepmc 2026 置信度 0.80
• Design and evaluation of an embedded automation system for optimized cut-shape placement on coconut shells in sustainable key tag manufacturing.
  europepmc 2026 置信度 0.80
• SAAM-VetNet: an attention-based multi-task framework for animal disease detection and severity grading.
  europepmc 2025 置信度 0.80
• Artificial Intelligence in Cardiac Electrophysiology: A Clinically Oriented Review with Engineering Primers.
  europepmc 2025 置信度 0.80
• Fault Detection in MV Switchgears Through Unsupervised Learning of Temperature Conditions.
  europepmc 2025 置信度 0.80
• IoT framework for sports activity safety monitoring based on wearable sensors and CRNN spatiotemporal analysis.
  europepmc 2026 置信度 0.80
• Stochastic Geometric-Based Modeling for Partial Offloading Task Computing in Edge-AI Systems.
  europepmc 2025 置信度 0.80
• A Comprehensive Review of Data-Driven Techniques for Air Pollution Concentration Forecasting.
  europepmc 2025 置信度 0.80
• NeuroMorphFusion: A Neuro-Inspired Hybrid Learning Framework for Interpretable Deep Lesion Detection in IoT-Enabled Healthcare Systems.
  europepmc 2026 置信度 0.80
• TinyML-Based Hand Gesture Recognition for Device Control
  crossref Chaymae Yahyati, Ismail Lamaakal, Khalid El Makkaoui, Ibrahim Ouahbi 2026-06-08T19:49:03Z 置信度 0.70
• Prediction of Remaining Useful Life and Cell Temperature for Li-ion Batteries Using TinyML
  crossref Yuqin Weng, Wenkai Guan, Cristinel Ababei 2024-09-16T17:34:29Z 置信度 0.70
• TinyML for Eddy Current Testing: A Review of Advances, Challenges, and Applications
  Eddy current testing (ECT) is a widely adopted electromagnetic non-destructive testing (NDT) technique for detecting defects in conductive materials. In practical deployments, however, ECT systems often suffer from low signal-to-noise ratio, strong sensitivity…
  crossref Shanming Qin, Yingchun Chen, Md Masuduzzaman, Chengshun Xu 等 2026-02-05T17:49:19Z 置信度 0.70
• Real-Time Activity Tracking using TinyML to Support Elderly Care
  crossref Kristof Tjonck, Chandrakanth R. Kancharla, Jens Vankeirsbilck, Hans Hallez 等 2021-11-04T15:30:30Z 置信度 0.70
• Analysis of Wind Speed Prediction using Artificial Neural Network and Multiple Linear Regression Model using Tinyml on Esp32
  Chua Kiang Hong, Mohd Azlan Abu, Mohd Ibrahim Shapiai, Mohamad Fadzli Haniff, Radhir Sham Mohamad, & Aminudin Abu. (2023). Analysis of Wind Speed Prediction using Artificial Neural Network and Multiple Linear Regression Model using Tinyml on Esp32. Journal…
  crossref 2023-08-08T07:21:21Z 置信度 0.70
• A Systematic Evaluation of Domain Shift Effects in TinyML Vibration Diagnostics
  crossref Khalid Hossen 2026-05-02T05:51:02Z 置信度 0.70
• Power-Performance Characterization of TinyML Systems
  crossref Yujie Zhang, Dhananjaya Wijerathne, Zhaoying Li, Tulika Mitra 2022-12-19T20:02:57Z 置信度 0.70
• Edge Impulse: TinyML Language Classification Model
  crossref Malhar Patil, Prajwal Rawoorkar, Parth Muley, Sumitra Motade 等 2025-01-21T13:22:34Z 置信度 0.70
• Accurate Short-Term Solar Irradiance Forecasting with TinyML on Edge Device
  crossref Naima El-Amarty, Hakim El Fadili, Saad Dosse Bennani 2024-08-06T17:29:56Z 置信度 0.70
• MuNAS: TinyML Network Architecture Search Using Goal Attainment and Reinforcement Learning
  crossref Alexander Hoffman, Ulf Schlichtmann, Daniel Mueller-Gritschneder 2024-07-03T17:26:54Z 置信度 0.70
• Extraction of Measurement Device Information on an ESP32 Microcontroller: TinyML for Image Processing
  crossref Jonas Paul, Lukas Schmid, Marco Klaiber, Manfred Rössle 2024-11-28T17:58:31Z 置信度 0.70
• Theoretical Comparative Analysis of TinyML Model Architectures and Deployment Frameworks for Resource-Constrained Embedded Systems
  Abstract Tiny Machine Learning (TinyML) enables the deployment of machine-learning models on low-power microcontrollers. Due to strict constraints on memory, computation, and energy, efficient deployment requires specialized frameworks and lightweight model ar…
  crossref Hemant Sharma, M L Sharma, Sunil Kumar, Ajay Kumar Garg 等 2025-11-27T04:13:08Z 置信度 0.70
• Multi-modal sensor fusion and federated learning for TinyML on resource-constrained IoT devices
  crossref Phuc Hao Do, Tran Duc Le, Truong Duy Dinh, Van Dai Pham 2025-11-28T01:04:58Z 置信度 0.70
• DPNet: A Lightweight TinyML Model for Real-Time Bathroom Sound Classification
  crossref Debolina Chowdhury, Chawan Vinod, Suman Samui, Mousumi Saha 等 2026-03-10T19:50:41Z 置信度 0.70
• Enhanced Consumer Healthcare Data Protection Through AI-Driven TinyML and Privacy-Preserving Techniques
  crossref S. Aanjankumar, Monoj Kumar Muchahari, Shabana Urooj, Ishmeet Kaur 等 2025-05-23T13:05:40Z 置信度 0.70
• TinyML-Based Classification in an ECG Monitoring Embedded System
  crossref Eunchan Kim, Jaehyuk Kim, Juyoung Park, Haneul Ko 等 2023-02-06T15:06:29Z 置信度 0.70
• Mamba-Enhanced Emotion Analysis TinyML Models for Embedded Devices Deployment
  crossref Xing Jin, Shakir Khan, Mehdi Hosseinzadeh, Neeraj Kumar 等 2025-09-26T17:36:55Z 置信度 0.70