边缘智能 · 全部实体（第 12 / 100 页）

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• AI Framework for Real-Time Respiratory Health Monitoring via Cough Sound Classification Deploying TinyML on Arduino Nano 33 BLE
  crossref Valarmathi N, Karthikeyan B, Manoj M P, Murugesh L 2026-07-01T19:34:24Z 置信度 0.70
• MLonMCU: TinyML Benchmarking with Fast Retargeting
  crossref Philipp van Kempen, Rafael Stahl, Daniel Mueller-Gritschneder, Ulf Schlichtmann 2024-06-10T12:43:58Z 置信度 0.70
• Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions
  Object detection (OD) has become vital for numerous computer vision applications, but deploying it on resource-constrained internet of things (IoT) devices presents a significant challenge. These devices, often powered by energy-efficient microcontrollers, str…
  crossref Christophe El Zeinaty, Wassim Hamidouche, Glenn Herrou, Daniel Menard 2025-06-10T07:35:31Z 置信度 0.70
• TinyML-On-The-Fly: Real-Time Low-Power and Low-Cost MCU-Embedded On-Device Computer Vision for Aerial Image Classification
  crossref Riya Samanta, Bidyut Saha, Soumya K. Ghosh 2024-09-13T17:32:22Z 置信度 0.70
• Timing Challenges in Vehicular TinyML: Characterizing End-to-End Latency
  crossref Hilton Machado, Matheus Andrade, Marianne Silva, Ivanovitch Silva 等 2025-08-19T18:08:07Z 置信度 0.70
• Diagnóstico predictivo de motores eléctricos basado en TinyML y análisis de firma de corriente
  The operational continuity of electric motors is essential for industrial productivity, as unexpected failures result in economic losses and safety risks. This study proposes a predictive diagnostic system based exclusively on Motor Current Signature Analysis …
  crossref Gilberto Bojórquez Delgado, Jesús Bojórquez Delgado, Manuel Alfredo Flores Rosales 2025-11-19T16:56:17Z 置信度 0.70
• HARP-UNET: A Hardware-Accelerated TinyML Framework for Pothole Segmentation and Road Quality Assessment Using UAVs
  crossref Anubhav Elhence, Harshil Jeswani, Vinay Chamola 2025-10-27T18:06:17Z 置信度 0.70
• Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications
  crossref Alessandro Cerioli, Lorenzo Petrosino, Daniele Sasso, Clément Laroche 等 2025-05-07T13:54:34Z 置信度 0.70
• Benchmarking Energy and Latency in TinyML: A Novel Method for Resource-Constrained AI
  crossref Pietro Bartoli, Christian Veronesi, Andrea Giudici, David Siorpaes 等 2025-11-14T18:46:15Z 置信度 0.70
• Intelligent system design to monitor organizational climate at a university using TinyML and emotion detection
  crossref Dulce M. Rivero Albarrán, Laura R. Guerra Torrealba, Francklin I. Rivas-Echeverria, Keny A. Mafla Pineda 2025-12-25T18:25:04Z 置信度 0.70
• Edge Intelligence and Trust
  crossref Abhishek Bhattacharya, Soumi Dutta, Anupam Ghosh, Arijit Dutta 等 2026-06-26T23:10:18Z 置信度 0.70
• TinyML-Based Pothole Detection: A Comparative Analysis of YOLO and FOMO Model Performance
  crossref Jordão Da Silva, Thommas Flores, Silvan Júnior, Ivanovitch Silva 2024-01-26T18:40:46Z 置信度 0.70
• Embedded TinyML for Predicting Soil Moisture Conditions in Rice Fields Using Weather Data
  <span>This study implements a lightweight TinyML model to classify soil moisture conditions and support irrigation decisions in rice cultivation, chosen over conventional cloud-based ML because it enables low-power, low-latency, fully offline inference o…
  crossref Nurul Maulida Surbakti, Dinda Kartika, Zu Amry, Muhammad Ashari 等 2025-12-31T02:28:28Z 置信度 0.70
• LakshyA: Lightweight TinyML-based Framework for Securing Battlefield UAV Networks With 5G
  crossref Yashvi Shah, Khushi Vasava, Lakshin Pathak, Lakshit Pathak 等 2025-12-29T18:37:00Z 置信度 0.70
• Harnessing Bio-Inspired Optimization and Swarm Intelligence for Energy-Aware TinyML in IoT
  crossref P. Kalyanakumar, S. Srinivasa Pandian, S. Boopalan, D. Kani Jesintha 等 2024-06-07T13:22:16Z 置信度 0.70
• Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
  Deploying deep neural networks (DNNs) on microcontrollers (TinyML) is a common trend to process the increasing amount of sensor data generated at the edge, but in practice, resource and latency constraints make it difficult to find optimal DNN candidates. Neur…
  crossref Mark Deutel, Georgios Kontes, Christopher Mutschler, Jürgen Teich 2025-01-23T08:48:01Z 置信度 0.70
• <scp>TinyNIDS</scp> : <scp>CNN</scp> ‐Based Network Intrusion Detection System on <scp>TinyML</scp> Models in <scp>6G</scp> Environments
  ABSTRACT With the evolution of network technologies from 5G to 6G, security has become increasingly critical due to the vast number of connected devices and the decentralized nature of network architectures. TinyNIDS addresses these challenges by leveraging a …
  crossref Bin Sun, Yu Zhao 2024-12-17T22:53:38Z 置信度 0.70
• The Case for tinyML in Healthcare: CNNs for Real-Time On-Edge Blood Pressure Estimation
  crossref Bailian Sun, Safin Bayes, Abdelrhman Mohamed Abotaleb, Mohamed Hassan 2023-06-07T17:16:29Z 置信度 0.70
• TinyML-Based Ripeness Classification System for Mango and Banana Deployed on Raspberry Pi
  crossref Revathi G P, Sushanth S Naik, Vilas, Vidyasagar 等 2026-03-25T19:53:02Z 置信度 0.70
• Explainable Kolmogorov–Arnold Networks for Zero-Shot Human Activity Recognition on TinyML Edge Devices
  Human Activity Recognition (HAR) on wearable and IoT devices must jointly satisfy four requirements: high accuracy, the ability to recognize previously unseen activities, strict memory and latency constraints, and interpretable decisions. In this work, we addr…
  crossref Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh, Khalid El Makkaoui 等 2026-02-26T11:23:45Z 置信度 0.70
• A 23-µJ-per-frame Fully-Integrated U-Net-Based TinyML Processor for Real-Time and Autonomous Medical Image Segmentation
  crossref Zhiye Song, Ulkuhan Guler, Anantha Chandrakasan 2026-01-14T20:38:47Z 置信度 0.70
• Sequential Printed Multilayer Perceptron Circuits for Super-TinyML Multi-Sensory Applications
  crossref Gurol Saglam, Florentia Afentaki, Georgios Zervakis, Mehdi Tahoori 2025-03-04T14:32:21Z 置信度 0.70
• Efficiency Redefined: Impact of Reducing Data Acquisition Rate for Optimized TinyML in Resource-Constrained IoT Devices
  crossref Bidyut Saha, Riya Samanta, Soumya K. Ghosh, Ram Babu Roy 2025-02-20T20:05:58Z 置信度 0.70
• TinyML and IIoT Based Product Quality Classification for Food Industry
  crossref Emilija Ž. Ćojbašić, Andela M. Jovanović, Vladimir D. Sibinović, Žarko M. Ćojbašić 2025-08-04T18:34:19Z 置信度 0.70
• Real-Time Air Quality Predictions for Smart Cities using TinyML
  crossref Arko Datta, Aniruddha Pal, Ranbir Marandi, Nilanjan Chattaraj 等 2024-01-22T18:08:30Z 置信度 0.70
• On-Device TinyML-Enabled Multimodal Threat Detection for Women and Child Safety Applications
  crossref Rini Adiyattil, Kolakaleti Sai Jahnavi, Pooja. R, Neha Srinivasan 等 2026-06-24T19:47:49Z 置信度 0.70
• U-TOE: Universal TinyML On-Board Evaluation Toolkit for Low-Power IoT
  crossref Zhaolan Huang, Koen Zandberg, Kaspar Schleiser, Emmanuel Baccelli 2023-11-07T18:53:50Z 置信度 0.70
• Edge-Based TinyML for Fault Detection Using Sound Vibration Analysis
  crossref A.R. Danila Shirly, S. Prathiba, L. Ramya Hyacinth, Lokeshwar K 等 2025-12-31T18:41:24Z 置信度 0.70
• Real-Time Water Meter Reading Based on TinyML
  crossref Van-Khanh Nguyen, Hai Pham, Vy-Khang Tran, Muot Nguyen 等 2024-12-12T19:05:11Z 置信度 0.70
• Edge AI and TinyML for Enhancing MAC Protocols: A New Paradigm for Wireless Sensor Networks in IIoT
  ABSTRACT The industrial Internet of Things (IIoT) depends on wireless sensor networks (WSNs) to enable low‐power, low‐data‐rate communication in resource‐limited settings. While the IEEE 802.15.4 standard provides the communication foundation, its medium acces…
  crossref Amine Zila, Youssef Mouzouna, Abderrahmane Ouchatti, Ikram Daanoune 2026-01-12T06:58:11Z 置信度 0.70
• DeFeAt: Explanable TinyML-based Framework for Anomaly Detection in Nano-Sensor Traffic in 6G-Enabled Smart Grid
  crossref Dharma Trivedi, Shreya Bhatia, Shivanshi Bhatt, Lakshin Pathak 等 2025-09-02T17:29:37Z 置信度 0.70
• Deploying an energy efficient, secure &amp; high-speed sidechain-based TinyML model for soil quality monitoring and management in agriculture
  crossref Saurabh Bhattacharya, Manju Pandey 2023-11-30T06:52:48Z 置信度 0.70
• EDGE-AI WITH EXPLAINABLE TINYML FOR REAL-TIME WATER QUALITY MONITORING AND PREDICTIVE ANALYTICS
  Background The security and safety of water resources is essential to human health, agriculture, and ecosystem. Conventional water quality monitoring systems are normally based on centralized cloud infrastructures, which cause delays, excessive consumption of …
  crossref Latha P, S. Gunasekaran, S. Geetha, Bhavadharini M 等 2026-07-02T08:17:17Z 置信度 0.70
• Advancing Beekeeping: IoT and TinyML for Queen Bee Monitoring Using Audio Signals
  crossref Andrea De Simone, Luca Barbisan, Giovanna Turvani, Fabrizio Riente 2024-08-26T13:26:02Z 置信度 0.70
• tinyCare: A tinyML-based Low-Cost Continuous Blood Pressure Estimation on the Extreme Edge
  crossref Khaled Ahmed, Mohamed Hassan 2022-09-08T20:02:56Z 置信度 0.70
• TinyHAR-UQ: Battery-aware, uncertainty-controlled tinyML for wearable activity recognition on IoT edge devices
  crossref Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh, Khalid El Makkaoui 等 2026-02-06T16:34:52Z 置信度 0.70
• Motion State Classification for Drone Localisation in GPS-Denied Environments using TinyML on Resource-Constrained Hardware
  crossref Victor Barbu, Ana-Maria Drăgulinescu, Alexandru Țapu 2026-03-09T19:55:18Z 置信度 0.70
• TinyML for Edge Networks: Challenges and Future Directions
  crossref Veera Manikantha Rayudu Tummala, Sonish Korada, Sai Pavan Lingamallu, Bandaru Sai Hari 等 2025-03-31T23:21:25Z 置信度 0.70
• Robust Ground Truth Data Mining for Enhanced Privacy and Accuracy in Noisy TinyML Environments *
  crossref Yuichi Sei, Agbotiname Lucky Imoize 2025-12-30T08:09:13Z 置信度 0.70
• Leveraging RISC-V for HW/SW Codesign of Flexible and Efficient TinyML SoCs
  crossref Angelo Garofalo, Luca Benini 2025-05-26T14:03:46Z 置信度 0.70
• FinGuard: TinyML-based Framework for Anomaly Detection in Meta Gaming Financial Transactions
  crossref Shivanshi Bhatt, Yashvi Shah, Parishi Shah, Lakshin Pathak 等 2025-12-01T18:23:44Z 置信度 0.70
• Real-Time Performance Benchmarking of TinyML Models in Embedded Systems (PICO: Performance of Inference, CPU, and Operations)
  crossref Abhishek Dey, Saurabh Srivastava, Gaurav Singh, Robert G. Pettit 2025-09-29T17:50:47Z 置信度 0.70
• <scp>TinyML</scp> ‐Based Adaptive Pulse Shaping for Edge Intelligence in <scp>IoT</scp> / <scp>IIoT</scp>
  ABSTRACT Edge intelligence in IoT and IIoT demands lightweight algorithms for data processing on resource‐constrained devices. This paper introduces a novel adaptive pulse shape filter based on TinyML for PAPR and SER optimization on edge devices used in uplin…
  crossref Afan Ali 2025-07-15T16:24:41Z 置信度 0.70
• Extended Operational Life for Wearable Health Devices: A Hybrid TinyML and Server-Side ML Approach
  crossref Najmeh Nazari, Vedant Patel, Chongzhou Fang, Setareh Rafatirad 等 2025-06-27T17:42:19Z 置信度 0.70
• Energy-Efficient On-Device Face Recognition for Smart Doorbells Using ESP32-S3 and TinyML
  crossref Latha R, Kanagamalliga S, Kailash Karthikeyan M, Gowtham P G 2026-07-01T19:35:23Z 置信度 0.70
• Author response for "&lt;scp&gt;TinyML&lt;/scp&gt;‐Based Adaptive Pulse Shaping for Edge Intelligence in &lt;scp&gt;IoT&lt;/scp&gt;/&lt;scp&gt;IIoT&lt;/scp&gt;"
  crossref Afan Ali 2025-09-30T22:59:00Z 置信度 0.70
• Decision letter for "&lt;scp&gt;TinyML&lt;/scp&gt;‐Based Adaptive Pulse Shaping for Edge Intelligence in &lt;scp&gt;IoT&lt;/scp&gt;/&lt;scp&gt;IIoT&lt;/scp&gt;"
  crossref 2025-09-30T22:59:00Z 置信度 0.70
• A privacy-preserving edge data aggregation for Tinyml energy forecasting in households
  The object of this research is the use of tiny machine learning (ML) forecasting models and low-power edge processing as a part of a hybrid energy management system (HEMS) with a particular emphasis on ensuring end-user data privacy and trust. The research add…
  crossref Anton Komin, Olha Boiko 2025-12-31T10:39:21Z 置信度 0.70
• GeoCaption: a real-time, TinyML-optimized multimodal transformer for environmental video captioning using vision, audio, and GPS fusion
  crossref Qaisar Abbas, Mubarak Albathan 2026-06-29T13:49:09Z 置信度 0.70
• Quantization-driven latency and energy characterisation of TinyML inference on microcontroller-class edge devices
  crossref Gaspar Noronha 2026-08-29T12:17:53Z 置信度 0.70
• Domain-Adaptive TinyML Model for Efficient Pest and Disease Detection in Domestic Crops: A Practical Approach for Developing Countries
  crossref Gibson Kimutai, Anna Förster 2024-08-07T18:23:25Z 置信度 0.70
• Sustainable TinyML-Enhanced Edge Intelligence for Human-to-Machine Applications over Optical Access Networks
  crossref Xiangyu Yu, Sourav Mondal, Lihua Ruan, Yuxiao Wang 等 2026-07-03T19:52:53Z 置信度 0.70
• An Adaptive TinyML Unsupervised Online Learning Algorithm for Driver Behavior Analysis
  crossref Marianne Silva, Thais Medeiros, Mariana Azevedo, Morsinaldo Medeiros 等 2023-08-23T13:53:46Z 置信度 0.70
• Edge Intelligence for Fire Disaster Mitigation Using IoT and TinyML
  crossref Henry Eric Kapalamula, Ipyana Issah Mwaisekwa, Arthur Nathaniel Mwang’onda, Nomsa Florence Ndhlozi 2025-12-16T18:29:59Z 置信度 0.70
• PRDTinyML: deep learning-based TinyML-based pedestrian detection model in autonomous vehicles for smart cities
  Detecting pedestrians and cars in smart cities is a major task for autonomous vehicles (AV) to prevent accidents. Occlusion, distortion, and multi-instance pictures make pedestrian and rider detection difficult. Recently, deep learning (DL) systems have shown …
  crossref Norah N. Alajlan, Abeer I. Alhujaylan, Dina M. Ibrahim 2025-05-26T16:23:20Z 置信度 0.70
• АДАПТИВНА МОДЕЛЬ ІНТЕЛЕКТУАЛЬНОЇ ФІЛЬТРАЦІЇ ТРАФІКУ В IOT-МЕРЕЖАХ НА ОСНОВІ TINYML-АВТОЕНКОДЕРІВ
  У роботі запропоновано та науково обґрунтовано адаптивну модель інтелектуальної фільтрації трафіку в енергоефективних мережах Інтернету речей (IoT). В основі підходу лежить впровадження компактних нейромережевих моделей TinyML на базі архітектури автоенкодерів…
  crossref Володимир ДРУЖИНІН, Євген ГАВРАСІЄНКО, Юлій БОЙКО 2026-06-12T06:01:37Z 置信度 0.70
• Learning Panorama Under <scp>TinyML</scp>
  crossref Ikechukwu Ignatius Ayogu, Euphemia Chioma Nwokorie, Juliet Nnenna Odii, Francisca Onyiyechi Nwokoma 等 2025-12-30T08:09:13Z 置信度 0.70
• Proactive Insulin Pump Security with TinyML and Blockchain: Real-Time Anomaly Detection for Diabetes Management
  crossref Khadija Tlemçani, Kebira Azbeg, Laila Fetjah, Ouail Ouchetto 等 2026-03-04T20:48:36Z 置信度 0.70
• Optimized TinyML Implementation for Resource-Constrained Microcontrollers
  crossref Om lbaneen Audi, Sara Awada, Mohamad Yaacoub, Ali Ibrahim 2025-03-08T00:00:58Z 置信度 0.70
• Hardware-Aware TinyML for Energy-Efficient Cataract Detection in Ophthalmology on Edge Devices
  crossref Abhishek Kakde, Naman Mani, Riya Gupta, Vikas Upadhyaya 2026-07-28T19:10:47Z 置信度 0.70
• Enhancing Cybersecurity in <scp>TinyML</scp> with Lightweight Cryptographic Algorithms
  crossref Oleksandr Kuznetsov, Roman Minailenko, Aigul Shaikhanova, Yelyzaveta Kuznetsova 等 2025-12-30T08:09:13Z 置信度 0.70
• TinyEdge: TinyML-Driven Secure Edge Computing Framework for Industrial IoT in 5G Networks
  crossref Rimmi Sharma, Kathan Panchal, Shivanshi Bhatt, Lakshin Pathak 等 2025-12-30T18:34:40Z 置信度 0.70
• TinyML-Assisted Energy and Space Efficient Framework for Lung Cancer Detection
  crossref Darshan Bhatt, Taksh Kalathia, Viral Rathod, Rajesh Gupta 等 2026-04-16T19:50:24Z 置信度 0.70
• Kolmogorov–Arnold Networks under TinyML Constraints: A Study on SoC Estimation for Electric Vehicles
  crossref Thommas Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa 等 2025-10-21T17:07:47Z 置信度 0.70
• Is TinyML Sustainable?
  Assessing the environmental impacts of machine learning on microcontrollers.
  crossref Shvetank Prakash, Matthew Stewart, Colby Banbury, Mark Mazumder 等 2023-10-20T10:04:00Z 置信度 0.70
• Enhancing precision irrigation with TinyML: Advanced NDVI anomaly detection and model optimization
  crossref Carlos Hernandez-Hidalgo, Aurora González-Vidal, Antonio F. Skarmeta 2025-12-03T08:26:34Z 置信度 0.70
• TinyML Platforms Benchmarking
  crossref Anas Osman, Usman Abid, Luca Gemma, Matteo Perotto 等 2022-04-08T22:03:52Z 置信度 0.70
• TinyML and IoT for Predictive Maintenance and Real‐Time Decision Support in Automotive Air Conditioning
  crossref G. Bhavani, C. Jeyalakshmi 2026-06-26T23:10:18Z 置信度 0.70
• Integrando TinyML em Veículos Flex: Novas Perspectivas para Eficiência Energética e Controle de Poluentes
  In the automotive industry, the increasing demand for energy efficiency and the reduction of CO2 emissions make flex-fuel vehicles a promising alternative, despite the challenges in optimizing their efficiency and minimizing emissions. This study proposed a me…
  crossref Thommas Flores, Morsinaldo Medeiros, Marianne Silva, Ivanovitch Silva 2025-12-04T15:43:17Z 置信度 0.70
• Energy-Aware TinyML for Intrusion Detection in IoT Networks
  crossref Leonardo Falanga, Massimo Ficco, Antonio Guerriero, Francesco Palmieri 等 2026-07-29T19:13:07Z 置信度 0.70
• Towards energy-aware tinyML on battery-less IoT devices
  crossref Adnan Sabovic, Michiel Aernouts, Dragan Subotic, Jaron Fontaine 等 2023-02-24T22:51:16Z 置信度 0.70
• Semi-Supervised Anomaly Detection in the TinyML Domain Through Multi-Target Few-Shot Domain Adaptation
  crossref Johannes Kühnel, Timo Eißmann, Christian Wiede, Dorothea Schwung 等 2024-10-16T17:51:22Z 置信度 0.70
• TinyML Enabled Real-Time Bearing Fault Classification in Motors Using Vibration Signals
  crossref Yogeswar Reddy Thota, Mojtaba Afshar, Samantha Boden, Brendan Dunlap 等 2025-06-27T13:58:23Z 置信度 0.70
• Drift Compensation for Electrochemical Sensors: a Preliminary TinyML Study
  crossref Davide Cacciari, Anna Sabatini, Luca Notarianni, Danilo Pietro Pau 等 2026-08-19T19:07:34Z 置信度 0.70
• Aprendizaje Basado en Proyectos con ESP32, IoT y TinyML para el desarrollo de competencias en arquitectura del computador
  El estudio evaluó el efecto del Aprendizaje Basado en Proyectos (ABP) integrado con ESP32, IoT y TinyML en el desarrollo de competencias del curso Arquitectura del Computador en una universidad pública de Lima, Perú. Participaron 40 estudiantes organizados en …
  crossref Cristian CASTRO-VARGAS, Maritza R. CABANA-CACERES 2026-02-25T16:58:09Z 置信度 0.70
• Multi-Controller TinyML Architecture for Object Detection with Efficient Communication and Applications
  crossref Ch. Madhu Bhushan, Priya Koppuravuri, Nomitha Prasanthi B, Firoj Gazi 等 2026-05-08T19:37:10Z 置信度 0.70
• Embedded TinyML for Predictive Maintenance: Vibration Analysis on ESP32 with Real-Time Fault Detection in Industrial Equipment
  The rapid evolution of embedded intelligence within industrial environments has catalyzed the development of lightweight, real-time predictive maintenance systems. Conventional fault diagnosis approaches often depend on centralized, resource-intensive infrastr…
  crossref Shubbham Gupta, Shiv Naresh Shivhare 2025-05-15T05:51:46Z 置信度 0.70
• From Wrist to World: Harnessing Wearable IMU Sensors and TinyML to Enable Smart Environment Interactions
  crossref Bidyut Saha, Riya Samanta, Soumya Kanti Ghosh, Ram Babu Roy 2024-05-17T11:49:10Z 置信度 0.70
• PROACTIVE SMART WASTE MANAGEMENT USING IOT-INTEGRATED TINYML FOR REAL-TIME HAZARD DETECTION AND PREDICTIVE COLLECTION
  Background The high rates of population growth in the cities have resulted in a massive surge in the production of solid wastes, which have emerged as a challenge to the traditional methods of solid waste collection and have presented some serious environmenta…
  crossref Bhavadharani K, M. Sangeetha, P. Anbumani, Dharunika S 等 2026-07-02T14:43:47Z 置信度 0.70
• Edge-Based Auto-Labeling for Multiclass TinyML Application in IoT Environments
  crossref Floreal Acebrón, Javier Prades, Erika Rosas, Juan-Carlos Cano 等 2026-06-02T20:03:16Z 置信度 0.70
• ForestGuard: A TinyML-Based Acoustic Surveillance System for Intelligent Forest Monitoring
  Abstract - Forests are increasingly threatened by illegal logging, wildlife poaching, forest fires, and unauthorized human intrusion. Conventional surveillance approaches such as manual patrolling, camera traps, and satellite monitoring are limited by high ope…
  crossref Safa Sajith C S, Chinchu Paulose, Saraung Babu, Sradha TR 等 2026-04-09T11:32:17Z 置信度 0.70
• Exploring Hardware-Efficient Architectures of Golomb–Rice Decoder for TinyML Applications
  Deep Neural Networks (DNNs) have revolutionized Artificial Intelligence (AI) applications by tackling real-world problems. Yet, their deployment on Internet of Things (IoT) edge devices remains challenging due to limited resources. The energy-intensive process…
  crossref Mounika Vaddeboina, Alper Yilmazer, Wolfgang Ecker 2025-07-16T15:23:37Z 置信度 0.70
• Efficient TinyML Architectures for On-Device Small Language Models: Privacy-Preserving Inference at the Edge
  Deploying small language models (SLMs) on ultra-low-power edge devices requires careful optimization to meet strict memory, latency, and energy constraints while preserving privacy. This paper presents a systematic approach to adapting SLMs for Tiny ML, focusi…
  crossref Mangesh Pujari, Anshul Goel, Anil Kumar Pakina 2025-04-28T05:26:24Z 置信度 0.70
• An Anomaly-based Intrusion Detection System for IoT environments using autoencoder neural networks and TinyML
  crossref Hiba Kandil, Wiam Bouimejane, Mohammed Mouhcine, Hafssa Benaboud 2025-11-19T20:34:36Z 置信度 0.70
• Computer Vision in Monitoring Fruit Browning: Neural Networks vs. Stochastic Modelling.
  europepmc 2025 置信度 0.80
• The Convergence of Polymer Science and Predictive Modeling for Noninvasive Glucose Monitoring.
  europepmc 2025 置信度 0.80
• CubeSat cybersecurity dataset for intrusion detection (CuCD-ID): Labelled NOS3/cFS telemetry (raw + augmented) with COSMOS reproduction scripts.
  europepmc 2026 置信度 0.80
• DeOTA-IoT: A Techniques Catalog for Designing Over-the-Air (OTA) Update Systems for IoT.
  europepmc 2025 置信度 0.80
• Detection of anomalous activities around telecommunications infrastructure based on YOLOv8s.
  europepmc 2025 置信度 0.80
• Generalizable Hybrid Wavelet-Deep Learning Architecture for Robust Arrhythmia Detection in Wearable ECG Monitoring.
  europepmc 2025 置信度 0.80
• Hypersensitive pressure sensors inspired by scorpion mechanosensory mechanisms for near-body flow detection in intelligent robots.
  europepmc 2025 置信度 0.80
• Enhancing Upper Limb Exoskeletons Using Sensor-Based Deep Learning Torque Prediction and PID Control.
  europepmc 2025 置信度 0.80
• Integrated Fault Tree and Case Analysis for Equipment Conventional Fault IETM Diagnosis.
  europepmc 2025 置信度 0.80
• Hand Prosthesis with Soft Robotics Technology and Artificial Intelligence for Fine Motor Control.
  europepmc 2026 置信度 0.80
• Multimedia Transmission over LoRa Networks for IoT Applications: A Survey of Strategies, Deployments, and Open Challenges.
  europepmc 2025 置信度 0.80
• MANIT: a multilayer ANN integrated framework using biometrics and historical features for online examination proctoring.
  europepmc 2025 置信度 0.80
• Inertial Navigation on Extremely Resource-Constrained Platforms: Methods, Opportunities and Challenges.
  europepmc 2023 置信度 0.80
• A Novel Lightweight Dairy Cattle Body Condition Scoring Model for Edge Devices Based on Tail Features and Attention Mechanisms.
  europepmc 2025 置信度 0.80
• A dual-contract architecture with role-based access control for supply chain traceability and accountability.
  europepmc 2025 置信度 0.80
• Advances in TinyML
  crossref Sumanta Chatterjee, Aritra Banerjee, Tania Biswas, Somya Ranjan Bhoi 2026-06-26T23:10:18Z 置信度 0.70