Copertina

DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Inan, Muhammad Sakib Khan, Liao, Kewen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
di: Inan, Muhammad Sakib Khan, et al.
Pubblicazione: (2024)

A Cutting-Edge Deep Learning Method For Enhancing IoT Security
di: Ansar, Nadia, et al.
Pubblicazione: (2024)

Real-Time Pedestrian Detection on IoT Edge Devices: A Lightweight Deep Learning Approach
di: Alfikri, Muhammad Dany, et al.
Pubblicazione: (2024)

IoT Enabled Smart Poultry Farming System With Deep Learning for Chicken Health Detection in Real‐Time
di: Shahbaj Ahmed Sakib, et al.
Pubblicazione: (2026)

Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data
di: Liu, Jinxin, et al.
Pubblicazione: (2024)

Image Transformation for IoT Time-Series Data: A Review
di: Altunkaya, Duygu, et al.
Pubblicazione: (2023)

Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain
di: Far, Amin Zakaie, et al.
Pubblicazione: (2024)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
di: Chen, Kuan-Cheng, et al.
Pubblicazione: (2025)

A Deep Reinforcement Learning Approach for Security-Aware Service Acquisition in IoT
di: Arazzi, Marco, et al.
Pubblicazione: (2024)

(DEMO) Deep Reinforcement Learning Based Resource Allocation in Distributed IoT Systems
di: Li, Aohan, et al.
Pubblicazione: (2025)

A Unified Framework for Context-Aware IoT Management and State-of-the-Art IoT Traffic Anomaly Detection
di: Worae, Daniel Adu, et al.
Pubblicazione: (2024)

Deep Learning and Matrix Completion-aided IoT Network Localization in the Outlier Scenarios
di: Kim, Sunwoo
Pubblicazione: (2025)

Dimensionality Reduction on IoT Monitoring Data of Smart Building for Energy Consumption Forecasting
di: Koutras, Konstantinos, et al.
Pubblicazione: (2025)

HARNN ‐ IoT : IoT ‐Enabled Hybrid Deep Learning Model for Cotton Plant Disease Detection and Classification
di: Bhushan V. Patil, et al.
Pubblicazione: (2025)

IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation
di: Sun, Mingchun, et al.
Pubblicazione: (2026)

Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
di: Shahzad, Muhammad Khuram, et al.
Pubblicazione: (2026)

Deep learning based intelligent IDS for Large-scale IoT networks
di: Andrade, Isha, et al.
Pubblicazione: (2026)

Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
di: Gkillas, Alexandros, et al.
Pubblicazione: (2024)

IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models
di: Prajapati, Nikesh, et al.
Pubblicazione: (2025)

Privacy-Preserving Data Quality Assessment for Time-Series IoT Sensors
di: Chakraborty, Novoneel, et al.
Pubblicazione: (2025)

Agentic Search Engine for Real-Time IoT Data
di: Elewah, Abdelrahman, et al.
Pubblicazione: (2025)

Cyber-Physical Anomaly Detection in IoT-Enabled Smart Grids Using Machine Learning and Metaheuristic Feature Optimization
di: Alihodžić, Adis, et al.
Pubblicazione: (2026)

Efficient IoT Intrusion Detection with an Improved Attention-Based CNN-BiLSTM Architecture
di: Naeem, Amna, et al.
Pubblicazione: (2025)

An Enhanced Approach for Predicting Breast Cancer Using Different Deep Learning Algorithms and Explainable AI Techniques in an IoT Environment
di: Belgacem Bouallegue, et al.
Pubblicazione: (2025)

Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments
di: Quan, Minh K., et al.
Pubblicazione: (2025)

Hybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
di: Akif, Md Ahnaf, et al.
Pubblicazione: (2025)

Securing Healthcare with Deep Learning: A CNN-Based Model for medical IoT Threat Detection
di: Mohamadi, Alireza, et al.
Pubblicazione: (2024)

Smart IoT Security: Lightweight Machine Learning Techniques for Multi-Class Attack Detection in IoT Networks
di: Alve, Shahran Rahman, et al.
Pubblicazione: (2025)

AI and IoT-Based Smart Surveillance for Wildlife Protection
di: Anand Kumar
Pubblicazione: (2025)

Digital Technologies in Smart Agriculture with IoT AI and Big Data for Precision Farming
di: Arul Sankar M, et al.
Pubblicazione: (2025)

Data-Driven Random Access Optimization in Multi-Cell IoT Networks with NOMA
di: Khairy, Sami, et al.
Pubblicazione: (2021)

IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol
di: Yang, Ningyuan, et al.
Pubblicazione: (2025)

Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets
di: Wasswa, Hassan, et al.
Pubblicazione: (2025)

Binary and Multi-Class Intrusion Detection in IoT Using Standalone and Hybrid Machine and Deep Learning Models
di: Akif, Md Ahnaf
Pubblicazione: (2025)

Proactive Detection of Physical Inter-rule Vulnerabilities in IoT Services Using a Deep Learning Approach
di: Huang, Bing, et al.
Pubblicazione: (2024)

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
di: Haque, Md. Ehsanul, et al.
Pubblicazione: (2025)

Smart Pilot Assignment for IoT in Massive MIMO Systems: A Path Towards Scalable IoT Infrastructure
di: Saeed, Muhammad Kamran, et al.
Pubblicazione: (2024)

Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks
di: Al-Hammouri, Mohammad F., et al.
Pubblicazione: (2025)

Kissan-Dost: Bridging the Last Mile in Smallholder Precision Agriculture with Conversational IoT
di: Ali, Muhammad Saad, et al.
Pubblicazione: (2026)

Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology
di: Rjoub, Gaith, et al.
Pubblicazione: (2024)