Determination of the most influential robot in the medical field by utilizing the bipolar complex fuzzy soft aggregation operators.

X-OODM: Explainable Object-Oriented Design Methodology.

Analysis and Applications of Bipolar Complex Fuzzy Soft Power Dombi Aggregation Operators for Robot Selection in Artificial Intelligence.

Pattern recognition and medical diagnosis based on trigonometric similarity measures for bipolar complex fuzzy soft sets.

COVIDX: Computer-aided diagnosis of COVID-19 and its severity prediction with raw digital chest X-ray scans.

Autonomic interoperability manager: A service-oriented architecture for full-stack interoperability in the Internet-of-Things.

Modeling Human Resource Experience Evolution for Multiobjective Project Scheduling in Large Scale Software Projects.

Detection of Atrial Fibrillation and Normal Sinus Rhythm Using Multiple Machine Learning Classifiers.

A distributed framework of autonomous drones for planning and execution of relief operations during flood situations.

Ultra-Low-Power, High-Accuracy 434 MHz Indoor Positioning System for Smart Homes Leveraging Machine Learning Models.

Anomaly Detection With Particle Filtering for Online Video Surveillance.

A Computation Model for Learning Programming and Emotional Intelligence.

Towards Medical Data Interoperability Through Collaboration of Healthcare Devices.

Reducing Congestion in an Intelligent Traffic System With Collaborative and Adaptive Signaling on the Edge.

An Inexpensive Upgradation of Legacy Cameras Using Software and Hardware Architecture for Monitoring and Tracking of Live Threats.

Design Quality Metrics to Determine the Suitability and Cost-Effect of Self-* Capabilities for Autonomic Computing Systems.

A Secure, Scalable and Elastic Autonomic Computing Systems Paradigm: Supporting Dynamic Adaptation of Self-* Services from an Autonomic Cloud.

Automated analysis of ECG waveforms with atypical QRS complex morphologies.