[PDF][PDF] Artificial Intelligence's Effect on Healthcare: Progress, Difficulties, and Moral Concerns

A Robert, K Potter, S Mohamed - 2024 - researchgate.net
Artificial intelligence (AI) has emerged as a transformative force in the field of healthcare,
offering promising opportunities for improving patient outcomes, enhancing diagnostics, and …

Impact On Online Purchasing Behavior: The Influence Of Artificial Intelligence

CM Kumar, T Senthilmurugan - Educational Administration: Theory and …, 2024 - kuey.net
The study you described focuses on assessing the influence of Artificial Intelligence (AI) on
online buying behavior among consumers. Here's a breakdown of the key findings and …

[PDF][PDF] Critical Review of Reinforcement Learning Techniques in Robotics for Tasks like Automated Concrete Assessment

E Blessing - 2024 - researchgate.net
This patent research provides a comprehensive review of reinforcement learning (RL)
techniques employed in robotics for tasks such as automated concrete assessment. With the …

[PDF][PDF] Advancing Explainable Artificial Intelligence through Interpretable Machine Learning Models

S Mohammed - 2024 - researchgate.net
This patent research presents novel techniques and methodologies for advancing the field
of Explainable Artificial Intelligence (XAI) through the development of interpretable machine …

[PDF][PDF] Deep Learning for Surgical Robot Applications

S Mohammed - 2024 - researchgate.net
This patent research investigates the application of deep learning techniques in the field of
surgical robotics. The use of deep learning algorithms in surgical robotics holds great …

[PDF][PDF] Agnostic Monitoring in Agriculture with Deep Learning

E Blessing - 2024 - researchgate.net
This patent research focuses on the application of deep learning techniques for agnostic
monitoring in agriculture. Traditional agricultural monitoring systems often rely on specific …

[PDF][PDF] Limits and Potentials of Deep Learning for Robotics

L Frank - 2024 - researchgate.net
This patent research investigates the limits and potentials of deep learning techniques for
robotics applications. Deep learning has been widely adopted in various fields, including …

[PDF][PDF] Multi-Scale Robotic Tool Grasping Methods Using Deep Learning Techniques

E Blessing - 2024 - researchgate.net
This patent research provides an in-depth analysis of multi-scale robotic tool grasping
methods that leverage deep learning techniques. The invention addresses the challenges …

[PDF][PDF] Self-Supervised Learning: Reducing the need for labeled training data.

E Blessing - 2024 - researchgate.net
Self-supervised learning is a machine learning technique that aims to reduce the reliance on
labeled training data by leveraging unlabeled data instead. In traditional supervised …

[PDF][PDF] Utilizing Deep Learning, Computer Vision, and Robotics for Crop Monitoring without Human Intervention: Showcasing Advancements like PATHoBot

E Blessing - 2024 - researchgate.net
Crop monitoring plays a crucial role in agricultural management, enabling the early
detection of diseases, pests, and other environmental factors that can impact crop health …