Call for Paper- AI-driven Techniques for Enhancing Flexibility in Embedded Systems (ATFS 2024)

The evolution of technology has revolutionized our living spaces by simplifying and enhancing our day-to-day activities. Technology serves as a pivotal tool and plays a fundamental role, finding its application across various domains from...

Call for Paper- Human Interaction and Interacting with Autonomous Systems-security and Trust in Ambient Computing (HIAS 2024)

Human-system interaction must enable people to interact with autonomous systems at the appropriate levels of abstraction, recognize their decisions and actions, and be able to influence them. New human-system engineering methodologies are essential...

Call for Paper - Frontiers in Personalizes Pervasive Healthcare Systems

Pervasive computing healthcare applications represent a set of connected networks with hidden objects and wearable sensors that are context-aware to deal with uncertain situations. The smart sensors and wearable devices potentially understand the...

Call for Paper - Next Gen Context-Aware Semantic Optimizations for Human-Robot Interaction

Human-robot interaction (HRI) has become an increasingly important field in recent years, with the development of advanced artificial intelligence and robotics technologies enabling robots to perform a wide range of tasks and interact with humans...

Call for Paper - Artificial Intelligence for New Digital Age

The rise of Artificial intelligence is no doubt changing our lives towards a new digital age. Every sector across the globe is gaining more technological innovations and importance with the growth of AI and its applications. While the data we...

Call for Paper- Artificial Intelligence for Identifying the Communities at the Risk of Pandemics

Recent Covid-19 pandemic is the major outbreak in recent times, which has led to dramatic loss on the global economy and health of human communities. It has overwhelmed the healthcare industry worldwide with its domino effect on the diagnosis and...

Implementing Multi-Channel Technology in Node Sleeping Mode of ZigBee Wireless Sensor Networks

Increasing Earthworm Product Yield by Temperature and Moisture Control System

Distribution Feeder Loss Optimization: A Case Study

Detection of Brain Tumor from MRI Images Base on Deep Learning technique Using TL Model

Traffic Management system and Traffic Light Control in Smart City to Reduce Traffic Congestion

DTC Improvement for Induction Motor Ripples Reduction by Increasing the Number of Sectors