2 citations · 2 across the 10 of their papers we have counts for
6 papers · 1 filter
Fine-Tuning LLMs for Reliable Medical Question-Answering Services
Ali Anaissi, Ali Braytee, Junaid Akram
We present an advanced approach to medical question-answering (QA) services, using fine-tuned Large Language Models (LLMs) to improve the accuracy and reliability of healthcare inf…
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration
Cheng Qian, Xianglong Shi, Shanshan Yao +6
We present a refined approach to biomedical question-answering (QA) services by integrating large language models (LLMs) with Multi-BERT configurations. By enhancing the ability to…
A Blockchain-Enhanced Framework for Privacy and Data Integrity in Crowdsourced Drone Services
Junaid Akram, Ali Anaissi
We present an innovative framework that integrates consumer-grade drones into bushfire management, addressing both service improvement and data privacy concerns under Australia's P…
Decentralized PKI Framework for Data Integrity in Spatial Crowdsourcing Drone Services
Junaid Akram, Ali Anaissi
In the domain of spatial crowdsourcing drone services, which includes tasks like delivery, surveillance, and data collection, secure communication is paramount. The Public Key Infr…
Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services
Junaid Akram, Ali Anaissi
We introduce a privacy-preserving framework for integrating consumer-grade drones into bushfire management. This system creates a marketplace where bushfire management authorities…
DDRM: Distributed Drone Reputation Management for Trust and Reliability in Crowdsourced Drone Services
Junaid Akram, Ali Anaissi
This study introduces the Distributed Drone Reputation Management (DDRM) framework, designed to fortify trust and authenticity within the Internet of Drone Things (IoDT) ecosystem.…