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Deep Learning Techniques for Autonomous Navigation of Underwater Robots
JP Sasi, KN Pandagre, A Royappa… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Underwater exploration, environmental monitoring, and infrastructure inspection are just few
of the many applications where autonomous navigation of underwater robots is a tough and …
of the many applications where autonomous navigation of underwater robots is a tough and …
AI-powered Performance Management: Driving Employee Success and Organizational Growth
As organizations navigate the dynamic landscape of the modern workplace, the need for
effective performance management becomes increasingly critical. Traditional performance …
effective performance management becomes increasingly critical. Traditional performance …
AI-Driven Optimization of Supply Chain and Logistics in Mechanical Engineering
Mechanical engineering businesses rely heavily on effective supply chain and logistics
management to increase their productivity, efficiency, and competitiveness. Recent years …
management to increase their productivity, efficiency, and competitiveness. Recent years …
AutoMLP: A framework for the acceleration of multi-layer perceptron models on FPGAs for real-time atrial fibrillation disease detection
Cardiovascular diseases are a leading cause of death globally, and atrial fibrillation (AF) is a
common arrhythmia that affects many people. Detecting AF in real-time using hardware …
common arrhythmia that affects many people. Detecting AF in real-time using hardware …
AI and ML for Enhancing Crop Yield and Resource Efficiency in Agriculture
In this study, we investigate how AI and ML might revolutionize the agricultural industry,
particularly with regard to increasing crop output while decreasing input costs. Applying AI …
particularly with regard to increasing crop output while decreasing input costs. Applying AI …
Artificial Intelligence-Based Control Strategies for Unmanned Aerial Vehicles
S Prabagar, AK Al-Jiboory, PS Nair… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Drones, also known as Unmanned Aerial Vehicles, or UAVs, are becoming more and more
well-liked as a multifunctional tool that can be used in a variety of industries, including …
well-liked as a multifunctional tool that can be used in a variety of industries, including …
Intelligent Control Systems for Industrial Automation and Robotics
VS Biradar, AK Al-Jiboory, G Sahu… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Intelligent control systems are a game-changer for robotics and industrial automation. This
abstract explores how computer vision (CV) and artificial neural network (ANN) algorithms …
abstract explores how computer vision (CV) and artificial neural network (ANN) algorithms …
Reinforcement Learning for Multi-Robot Coordination and Cooperation in Manufacturing
The introduction of robotic technologies has dramatically altered the automation of
production operations. The full benefits of these systems, including increased production …
production operations. The full benefits of these systems, including increased production …
AI & Lean Management Principles Based Pharmaceutical Manufacturing Processes
Pharmaceutical manufacturing is a critical industry that demands high precision and
efficiency while adhering to stringent quality standards. This is where artificial intelligence …
efficiency while adhering to stringent quality standards. This is where artificial intelligence …
[HTML][HTML] Short-Term Entropy of Signal Energy Used for Effective Detecting of Weak Gunshots in Noisy Environments
M Sigmund - Sensors, 2024 - mdpi.com
Conventional gunshot detection systems can quickly and reliably detect gunshots in the
area where the acoustic sensors are placed. This paper presents the detection of weak …
area where the acoustic sensors are placed. This paper presents the detection of weak …