A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang +3 more
wiley +1 more source
A multi module a.i. system for intelligent health insurance support using retrieval augmented generation. [PDF]
Hanmante S, Patil S, Shahade AK.
europepmc +1 more source
Current‐Limiting Control Strategies in Variable Capacitance Electrostatic Energy Harvesters
This work introduces control strategies for electrostatic energy harvesters that balance energy yield with current limitations. Two approaches are explored: traditional peak‐triggered controls, and newly developed quadrature controls, which use smooth voltage profiles.
Alireza Jalaliankhakshour +4 more
wiley +1 more source
From complexity to parsimony: A systems thinking validation of the multiple streams framework in abortion policy agenda setting. [PDF]
Alvarado G.
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
From Mandate to Meaning: A Health Equity Implementation Framework and Knowledge-to-Action-Informed Qualitative Study of Health-Related Social Needs Implementation. [PDF]
Zimmer RP +9 more
europepmc +1 more source
Open loop optimal control of base station activation for green networks
Sreenath Ramanath, V. Kavitha, E. Altman
semanticscholar +1 more source
Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems
This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley +1 more source
A new diagnostic model to understand the root causes of failing waste collection in developing countries, with example applications in Latin America. [PDF]
Breukelman H, Krikke H, Löhr A.
europepmc +1 more source
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source

