Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the problem,...
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pioneering detonation pressure in energetic materials.

Scientific reports·2026
Same author

SmartGridDrive: an integrated adaptive Q-learning framework for precision self-parking and reverse navigation in dynamic grid environments-a proof-of-concept study.

Scientific reports·2026
Same author

A multi-domain graph-integrated neural framework for robust acoustic anomaly detection under adverse environmental conditions.

Scientific reports·2026
Same author

An explainable multimodal temporal deep learning framework for intrusion detection (EMT-IDNet) in IoT environments.

Scientific reports·2026
Same author

Hydrogel-based Advances in Dermatological Therapy: Insights from Patents and Clinical Research.

Reviews on recent clinical trials·2026
Same author

SPHTRLM: secure and privacy-preserving hyperparameter-tuned reinforcement learning method for robot path finding in dynamic environments.

Scientific reports·2026

Related Experiment Videos

A blockchain-enabled multi-objective reinforcement learning framework for secure energy- and time-efficient smart

Revati Raman Dewangan1, Deepali Thombre2, Vivek Parganiha1

  • 1Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg, India.

Scientific Reports
|July 3, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces Blockchain enabled Energy and Time efficient Multi Objective Reinforcement Learning (BlockE2T MORL), a secure path planning solution for autonomous systems. It significantly reduces energy consumption, latency, and improves trust scores compared to standard reinforcement learning.

Keywords:
Energy and Time OptimizationIntelligent Path PlanningLightweight Blockchain FrameworkMulti-Objective Reinforcement LearningSecure Federated LearningTrust-Aware Decision Making

Related Experiment Videos

Area of Science:

  • Artificial Intelligence
  • Cloud Computing
  • Cybersecurity

Background:

  • Current reinforcement learning (RL) path planning methods for cloud-based autonomous systems lack security, energy efficiency, and privacy.
  • Centralized RL models are vulnerable to data poisoning and privacy breaches.

Purpose of the Study:

  • To develop a secure, energy-efficient, and time-efficient decentralized path planning solution for cloud-assisted autonomous systems.
  • To address limitations of single-objective RL and enhance privacy in multi-agent systems.

Main Methods:

  • Introduced Blockchain enabled Energy and Time efficient Multi Objective Reinforcement Learning (BlockE2T MORL).
  • Implemented a dynamic multi-objective reward function for energy, time, and security optimization.
  • Utilized a lightweight blockchain-inspired trust mechanism for agent validation and a hybrid actor-critic strategy for learning.

Main Results:

  • BlockE2T-MORL achieved a 23.4% reduction in energy consumption and a 17.4% improvement in latency.
  • Demonstrated a 67% improvement in trust scores, indicating enhanced security against malicious agents.
  • The framework converged 2.5 times faster than baseline methods, showing improved learning efficiency.

Conclusions:

  • BlockE2T-MORL provides a scalable, privacy-preserving, and computationally lightweight solution for intelligent path planning.
  • The decentralized approach enhances security and efficiency in cloud-based autonomous systems.
  • This novel framework addresses critical challenges in next-generation autonomous systems.