2 citations · 2 across the 10 of their papers we have counts for
12 papers
Tensor-based Fusion of Multi-modal Data for Predicting Cancer Risk Levels
Ali Anaissi, Yuanzhe Jia, Qishun Peng +3
Cancer diagnosis and treatment increasingly rely on multi-modal diagnostic technologies that generate high-dimensional datasets. Although these datasets are rich in pathological in…
Towards Automated Differential Diagnosis of Skin Diseases Using Deep Learning and Imbalance-Aware Strategies
Ali Anaissi, Ali Braytee, Weidong Huang +3
As dermatological conditions become increasingly common and the availability of dermatologists remains limited, there is a growing need for intelligent tools to support both patien…
Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics
Ali Anaissi, Seid Miad Zandavi, Weidong Huang +4
Single-cell data analysis has the potential to revolutionize personalized medicine by characterizing disease-associated molecular changes at the single-cell level. Advanced single-…
A Hybrid Computational Intelligence Framework for scRNA-seq Imputation: Integrating scRecover and Random Forests
Ali Anaissi, Deshao Liu, Yuanzhe Jia +3
Single-cell RNA sequencing (scRNA-seq) enables transcriptomic profiling at cellular resolution but suffers from pervasive dropout events that obscure biological signals. We present…
Capability-Based Multi-Tenant Access Management in Crowdsourced Drone Services
Junaid Akram, Ali Anaissi, Awais Akram +3
We propose a capability-based access control method that leverages OAuth 2.0 and Verifiable Credentials (VCs) to share resources in crowdsourced drone services. VCs securely encode…
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering
Ali Anaissi, Junaid Akram, Kunal Chaturvedi +1
Memes are widely used for humor and cultural commentary, but they are increasingly exploited to spread hateful content. Due to their multimodal nature, hateful memes often evade tr…
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.…