Tayyaba Anees

Orcid: 0000-0003-2266-9322

According to our database1, Tayyaba Anees authored at least 15 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions.
Internet Things, October, 2023

CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays.
Multim. Tools Appl., April, 2023

Space-Air-Ground Integrated Network for Disaster Management: Systematic Literature Review.
Appl. Comput. Intell. Soft Comput., 2023

DHSDJArch: An Efficient Design of Distributed Heterogeneous Stream-Disk Join Architecture.
IEEE Access, 2023

A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images.
IEEE Access, 2023

Indexing in WoT to Locate Indoor Things.
IEEE Access, 2023

2022
SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.
Sensors, 2022

BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs.
Multim. Syst., 2022

Distributed real-time ETL architecture for unstructured big data.
Knowl. Inf. Syst., 2022

Keywords and Spatial Based Indexing for Searching the Things on Web.
KSII Trans. Internet Inf. Syst., 2022

2021
Web of Things: Security Challenges and Mechanisms.
IEEE Access, 2021

An Efficient Data Access Approach With Queue and Stack in Optimized Hybrid Join.
IEEE Access, 2021

2020
Challenges and Solutions for Processing Real-Time Big Data Stream: A Systematic Literature Review.
IEEE Access, 2020

2019
Performance Analysis of Not Only SQL Semi-Stream Join Using MongoDB for Real-Time Data Warehousing.
IEEE Access, 2019

The Web of Things: Findability Taxonomy and Challenges.
IEEE Access, 2019


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