The Web of Things: Findability Taxonomy and Challenges. - Muhammad Rehan Faheem; Tayyaba Anees; Muzammil Hussain (IEEE Access, 2019)

Performance Analysis of Not Only SQL Semi-Stream Join Using MongoDB for Real-Time Data Warehousing. - Erum Mehmood; Tayyaba Anees (IEEE Access, 2019)

Challenges and Solutions for Processing Real-Time Big Data Stream: A Systematic Literature Review. - Erum Mehmood; Tayyaba Anees (IEEE Access, 2020)

An Efficient Data Access Approach With Queue and Stack in Optimized Hybrid Join. - Omer Aziz; Tayyaba Anees; Erum Mehmood (IEEE Access, 2021)

Web of Things: Security Challenges and Mechanisms. - Ruhma Sardar; Tayyaba Anees (IEEE Access, 2021)

Keywords and Spatial Based Indexing for Searching the Things on Web. - Muhammad Rehan Faheem; Tayyaba Anees; Muzammil Hussain (KSII Trans. Internet Inf. Syst., 2022)

Distributed real-time ETL architecture for unstructured big data. - Erum Mehmood; Tayyaba Anees (Knowl. Inf. Syst., 2022)

BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs. - Hassaan Malik; Tayyaba Anees; Mui-Zzud-Din (Multim. Syst., 2022)

SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images. - Ahmad Naeem; Tayyaba Anees; Makhmoor Fiza; Rizwan Ali Naqvi; Seung-Won Lee (Sensors, 2022)

Indexing in WoT to Locate Indoor Things. - Muhammad Rehan Faheem; Tayyaba Anees; Muzammil Hussain; Allah Ditta; Hani Alquhayz; Muhammad Adnan Khan 001 (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. - Hassaan Malik; Tayyaba Anees; Muhammad Umar Chaudhry; Radomír Gono; Michal Jasiñski; Zbigniew Leonowicz; Petr Bernat (IEEE Access, 2023)

DHSDJArch: An Efficient Design of Distributed Heterogeneous Stream-Disk Join Architecture. - Erum Mehmood; Tayyaba Anees; Ahmad Sami Al-Shamayleh; Abdullah Hussein Al-Ghushami; Wajeeha Khalil; Adnan Akhunzada (IEEE Access, 2023)

Space-Air-Ground Integrated Network for Disaster Management: Systematic Literature Review. - Muhammad Junaid Anjum; Tayyaba Anees; Fatima Tariq; Momina Shaheen; Sabeen Amjad; Fareeha Iftikhar; Faizan Ahmad (Appl. Comput. Intell. Soft Comput., 2023)

CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays. - Hassaan Malik; Tayyaba Anees; Mui-Zzud-Din; Ahmad Naeem (Multim. Tools Appl., 2023)

Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions. - Hassaan Malik; Tayyaba Anees; Muhammad Faheem 003; Muhammad Umar Chaudhry; Aatka Ali; Muhammad Nabeel Asghar (Internet Things, 2023)

Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays. - Hassaan Malik; Tayyaba Anees (Multim. Tools Appl., 2024)

Challenges in detecting security threats in WoT: a systematic literature review. - Ruhma Sardar; Tayyaba Anees; Ahmad Sami Al-Shamayleh; Erum Mehmood; Wajeeha Khalil; Adnan Akhunzada; Fatema Sabeen Shaikh (Artif. Intell. Rev., 2025)