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Found 16 papers, 1 papers with code
Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning
Targeting the notion of compact yet robust DNN models, we propose the integration of iterative magnitude pruning (IMP) of the DNN model being trained in an over-the-air FL (OTA-FL) environment for IIoT.
STAR-RIS-Assisted Hybrid NOMA mmWave Communication: Optimization and Performance Analysis
The design of active and passive beamforming vectors, time and power allocation for H-NOMA is a highly coupled non-convex problem.
Towards On-Device AI and Blockchain for 6G enabled Agricultural Supply-chain Management
6G envisions artificial intelligence (AI) powered solutions for enhancing the quality-of-service (QoS) in the network and to ensure optimal utilization of resources.
Real-Time Trash Detection for Modern Societies using CCTV to Identifying Trash by utilizing Deep Convolutional Neural Network
The model is used on a CCTV camera to detect trash in real-time.
Backhaul-Aware Intelligent Positioning of UAVs and Association of Terrestrial Base Stations for Fronthaul Connectivity
We observe that the proposed approach is highly effective to satisfy the requirements of smart fronthaul networks.
TaNTIN: Terrestrial and Non-Terrestrial Integrated Networks-A collaborative technologies perspective for beyond 5G and 6G
The world is moving toward globalization rapidly.
Edge-computing
Networking and Internet Architecture
The Shift to 6G Communications: Vision and Requirements
The sixth-generation (6G) wireless communication network is expected to integrate the terrestrial, aerial, and maritime communications into a robust network which would be more reliable, fast, and can support a massive number of devices with ultra-low latency requirements.
A Deep Convolutional Neural Network for the Detection of Polyps in Colonoscopy Images
In this paper, we propose a deep convolutional neural network based model for the computerized detection of polyps within colonoscopy images.
New Normal: Cooperative Paradigm for Covid-19 Timely Detection and Containment using Internet of Things and Deep Learning
The spread of the novel coronavirus (COVID-19) has caused trillions of dollars in damages to the governments and health authorities by affecting the global economies.
An Improved Deep Convolutional Neural Network-Based Autonomous Road Inspection Scheme Using Unmanned Aerial Vehicles
Advancements in artificial intelligence (AI) gives a great opportunity to develop an autonomous devices.
A Drone-Aided Blockchain-Based Smart Vehicular Network
This paper is mainly focused on the blockchain-based secure system design and the optimal placement of drones to improve the spectral efficiency of the overall network.
STBC-Aided Cooperative NOMA with Timing Offsets, Imperfect Successive Interference Cancellation, and Imperfect Channel State Information
In addition, through analysis and simulation, we observe that the impact of the imperfect SIC on the outage performance of STBC-CNOMA is more significant compared to the other two imperfections.
Autonomous Interference Mapping for Industrial IoT Networks over Unlicensed Bands
The limited coexistence capabilities of current Internet-of-things (IoT) wireless standards produce inefficient spectrum utilization and mutual performance impairment.
RSSI Fingerprinting-based Localization Using Machine Learning in LoRa Networks
The scale of wireless technologies penetration in our daily lives, primarily triggered by the Internet-of-things (IoT)-based smart cities, is beaconing the possibilities of novel localization and tracking techniques.
Machine Learning in IoT Security: Current Solutions and Future Challenges
We also discuss in detail the existing ML and DL solutions for addressing different security problems in IoT networks.
Scalability Analysis of a LoRa Network under Imperfect Orthogonality
Low-power wide-area network (LPWAN) technologies are gaining momentum for internet-of-things (IoT) applications since they promise wide coverage to a massive number of battery-operated devices using grant-free medium access.
Information Theory Information Theory
