Explanipedia

Enabling Continuous Earth Observation through 6G NTN: Multi-Source Semantic Communication and Denoising Open

Loc X. Nguyen, Mohsen Guizani, Han Zhu, Choong Seon Hong · 2025

Fast Time-Varying mmWave MIMO Channel Estimation and Reconstruction: An Efficient Rank-Aware Matrix Completion Method Open

Tianyu Jiang, Yan Yang, Runyu Han, Bo Ai, Mohsen Guizani · 2025

We address the problem of fast time-varying channel estimation in millimeter-wave (mmWave) MIMO systems with imperfect channel state information (CSI) and facilitate efficient channel reconstruction. Specifically, leveraging the low-rank a…

Fast Time-Varying mmWave Channel Estimation: A Rank-Aware Matrix Completion Approach Open

Tianyu Jiang, Yan Yang, Hongjin Liu, Runyu Han, Bo Ai , et al. · 2025

We consider the problem of high-dimensional channel estimation in fast time-varying millimeter-wave MIMO systems with a hybrid architecture. By exploiting the low-rank and sparsity properties of the channel matrix, we propose a two-phase c…

FEDERATED LARGE LANGUAGE MODELS IN HEALTHCARE Open

Leon de França Nascimento, Sadi Alwadi, Feras M. Awaysheh, Abbas Cheddad, Albert Y. Zomaya , et al. · 2025

The convergence of Federated Learning (FL) and Large Language Models (LLMs) represents a transformative opportunity in healthcare. FL allows decentralized model training across multiple institutions without sharing sensitive data, which is…

A Survey on Spatio-Temporal Prediction: From Transformers to Foundation Models Open

Yingchi Mao, Hongliang Zhou, Ling Chen, Rongzhi Qi, Z. T. Sun , et al. · 2025

Spatio-Temporal (ST) data is pervasive on the various aspects in our daily lives. By mining the ST information from the data, we are able to predict trends in numerous domains. The Transformer and one of its more recent enhancements, found…

From Prediction to Sustainability: AI for Smart Energy Management in Wastewater Treatment Plants Open

Saeed Hamood Alsamhi, Ammar Hawbani, Niall O’Brolchain, Mohammed A. A. Al‐qaness, Liang Zhao , et al. · 2025

Accurate energy prediction is vital in optimizing operations and self-consumption and ensuring sustainability goals in wastewater treatment plants (WWTPs) and environmental applications. Self- consumption refers to the proportion of energy…

Real-time aerial fire detection on resource-constrained devices using knowledge distillation Open

Sabina Jangirova, Branislava Jankovic, Waseem Ullah, Latif U. Khan, Mohsen Guizani · 2025

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning Open

Chuyuan Wei, Shaoduo Liu, Shengda Zhuo, Chang‐Dong Wang, Shuqiang Huang , et al. · 2025

Graph Neural Networks (GNNs) have achieved remarkable success in various graph-based tasks (e.g., node classification or link prediction). Despite their triumphs, GNNs still face challenges such as long training and inference times, diffic…

Quantum Machine Learning for 6G Space-Air-Ground Integrated Networks: A Comprehensive Tutorial and Survey Open

Sheikh Salman Hassan, Latif U. Khan, Yu Min Park, Mohsen Guizani, Han Zhu , et al. · 2025

Redefining Information Freshness: AoGI for Generative AI in 6G Networks Open

Yuquan Xiao, Qinghe Du, Wenchi Cheng, George K. Karagiannidis, Arumugam Nallanathan , et al. · 2025

Generative Artificial Intelligence (GenAI) is playing an increasingly important role in enriching and facilitating human life by generating various useful information, of which real-time GenAI is a significant part and has great potential …

Efficient combination of deep learning and tree-based classification models for solar panel dust detection Open

Jad Bassil, Hassan Noura, Ola Salman, Khaled Chahine, Mohsen Guizani · 2025

LLM Fine-Tuning: Concepts, Opportunities, and Challenges Open

Xiao-Kun Wu, Min Chen, Wanyi Li, Rui Wang, Lingbin Lu , et al. · 2025

As a foundation of large language models, fine-tuning drives rapid progress, broad applicability, and profound impacts on human–AI collaboration, surpassing earlier technological advancements. This paper provides a comprehensive overview o…

Overview of AI and communication for 6G network: fundamentals, challenges, and future research opportunities Open

Qimei Cui, Xiaohu You, Wei Ni, Guoshun Nan, Xuefei Zhang , et al. · 2025

With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks has emerged as a transformative paradigm. By embedding AI cap…

A Multi-Agent DRL-Based Framework for Optimal Resource Allocation and Twin Migration in the Multi-Tier Vehicular Metaverse Open

Nahom Abishu Hayla, Abegaz Mohammed Seid, Aiman Erbad, Tilahun M. Getu, Ala Al‐Fuqaha , et al. · 2025

Although multi-tier vehicular Metaverse promises to transform vehicles into essential nodes -- within an interconnected digital ecosystem -- using efficient resource allocation and seamless vehicular twin (VT) migration, this can hardly be…

Rectifying Conformity Scores for Better Conditional Coverage Open

Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb , et al. · 2025

We present a new method for generating confidence sets within the split conformal prediction framework. Our method performs a trainable transformation of any given conformity score to improve conditional coverage while ensuring exact margi…

Vision-Language Models for Edge Networks: A Comprehensive Survey Open

Ahmed Sharshar, Latif U. Khan, Waseem Ullah, Mohsen Guizani · 2025

Vision Large Language Models (VLMs) combine visual understanding with natural language processing, enabling tasks like image captioning, visual question answering, and video analysis. While VLMs show impressive capabilities across domains …

Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses Open

Mohammed Aledhari, Rehma Razzak, Mohamed Rahouti, Abbas Yazdinejad, Reza M. Parizi , et al. · 2025

UAV-Assisted Real-Time Disaster Detection Using Optimized Transformer Model Open

Branislava Jankovic, Sabina Jangirova, Waseem Ullah, Latif U. Khan, Mohsen Guizani · 2025

Dangerous surroundings and difficult-to-reach landscapes introduce significant complications for adequate disaster management and recuperation. These problems can be solved by engaging unmanned aerial vehicles (UAVs) provided with embedded…

Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth? Open

Jiajie Li, Bo Gu, Shimin Gong, Zhou Su, Mohsen Guizani · 2025

Mobile crowdsensing (MCS) has emerged as a prominent trend across various\ndomains. However, ensuring the quality of the sensing data submitted by mobile\nusers (MUs) remains a complex and challenging problem. To address this\nchallenge, a…

Future of Connectivity: A Comprehensive Review of Innovations and Challenges in 7G Smart Networks Open

Vinay Chamola, Mritunjay Shall Peelam, Mohsen Guizani, Dusit Niyato · 2025

The evolution from 1G to 6G networks has transformed global communication, progressing from basic voice calls in 1G to the immersive, AI-enabled experiences of 6G. As emerging AI-driven applications like autonomous systems, the Internet of…

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms Open

Marwan Dhuheir, Aiman Erbad, Bechir Hamdaoui, Samir Brahim Belhaouari, Mohsen Guizani , et al. · 2025

The integration of unmanned aerial vehicles (UAVs) in the Industrial Internet of Things (IIoT) for smart city applications has been gaining significant attention. UAV swarms are increasingly employed to monitor ground-based IIoT devices in…

A Comprehensive Survey on GenAI-Enabled 6G: Technologies, Challenges, and Future Research Avenues Open

Muhammad Sheraz, Teong Chee Chuah, Wajahat Ullah Khan Tareen, Ala’a Al-Habashna, Sohail Imran Saeed , et al. · 2025

The integration of artificial intelligence (AI) in 6G demonstrates a transformative leap in redefining network efficiency, intelligence, and adaptability. However, AI largely leverages discriminative models relying on labelled and quality …

Network Virtualization Empowered Metaverse: A Hierarchical Matching Approach Open

Latif U. Khan, Mohsen Guizani, Ibrar Yaqoob, Ala Al‐Fuqaha, Aiman Erbad , et al. · 2025

Disaster Detection on the Fly: Optimized Transformers for UAVs Open

Branislava Jankovic, Sabina Jangirova, Waseem Ullah, Latif U. Khan, Mohsen Guizani · 2025

Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities Open

Qimei Cui, Xiaohu You, Wei Ni, Guoshun Nan, Xuefei Zhang , et al. · 2024

With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks has emerged as a transformative paradigm. By embedding AI cap…

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions Open

Gordon Owusu Boateng, Hani Sami, Ahmed Alagha, Hanae Elmekki, Ahmad Hammoud , et al. · 2024

The rapid evolution of communication networks in recent decades has intensified the need for advanced Network and Service Management (NSM) strategies to address the growing demands for efficiency, scalability, enhanced performance, and rel…

BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation Open

Xianzhi Zhang, Yipeng Zhou, Hu Miao, Di Wu, Pu Liao , et al. · 2024

To mitigate the rising concern about privacy leakage, the federated recommender (FR) paradigm emerges, in which decentralized clients co-train the recommendation model without exposing their raw user-item rating data. The differentially pr…

Low Complexity Byzantine-Resilient Federated Learning Open

Ala Gouissem, S. Hassanein, Khalid Abualsaud, Elias Yaacoub, Mohamed A. Mabrok , et al. · 2024

Federated learning (FL) has gained attention for enabling efficient distributed learning while maintaining data privacy. However, the data privacy constraint reduces the transparency in the agents’ model update making the learning process …

Reliability Enhancement for V2V Communications: via AF Relay Versus via Passive RIS Open

Momiao Zhou, Fan Wu, Kan Wang, Yanshi Sun, Lei Liu , et al. · 2024

In advanced vehicular networks, Roadside Unit (RSU)-based amplify-and-forward (AF) relay and passive Reconfigurable Intelligent Surface (RIS) are two potential helpers to enhance the vehicle-to-vehicle (V2V) communications when the direct …

GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing Open

Hosam Elgendy, Ahmed Sharshar, Ahmed Aboeitta, Yasser Ashraf, Mohsen Guizani · 2024

Detecting temporal changes in geographical landscapes is critical for applications like environmental monitoring and urban planning. While remote sensing data is abundant, existing vision-language models (VLMs) often fail to capture tempor…

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