Distributed Learning and Broad Applications in Scientific Research

About the Journal

The Distributed Learning and Broad Applications in Scientific Research (DLBASR) is a peer-reviewed, open-access journal focused on disseminating original research articles, reviews, and short communications in the field of distributed learning and its diverse applications across scientific research. DLBASR encourages submissions from researchers worldwide, fostering a variety of perspectives and innovative methodologies.

Journal Snapshot

Journal Name: Distributed Learning and Broad Applications in Scientific Research (DLBASR)
ISSN: 2458-1234
Impact Factor: 5.2 (By ResearchBib)
Journal Initials: DLBASR
Research Scope: Distributed Learning, Machine Learning, Data Mining, Big Data Analytics, Computational Biology, Environmental Modeling, Scientific Simulations, AI Applications in Science
Publication Mode: Digital (On this Website)
Frequency: Annual (1 Volume a year)
Launch Year: 2015
Review Mode: Double Blind Peer Review
Plagiarism Allowed: 10% (as per Turnitin)
Coverage: Worldwide
Language: English

Current Issue

Vol. 10 (2024): Distributed Learning and Broad Applications in Scientific Research

In this issue of Distributed Learning and Broad Applications in Scientific Research, we present a collection of innovative studies showcasing the latest advancements in distributed learning technologies and their applications across various scientific fields. Featured themes include cutting-edge machine learning algorithms, deep learning frameworks, and artificial intelligence techniques applied to areas such as computational biology, environmental modeling, and materials science.

This volume also offers insightful reviews on current trends and future directions in distributed learning, along with case studies demonstrating real-world impacts. Contributions from global experts and emerging scholars highlight the journal's commitment to fostering interdisciplinary collaboration and driving innovation in scientific research.

Explore these groundbreaking developments and stay at the forefront of distributed learning's potential to revolutionize science.

Published: 01-01-2024

Articles

Cognitive Robotics - Perception and Action Integration: Examining cognitive robotics systems integrating perception and action capabilities to achieve intelligent behavior in robots

Dr. Juan Gómez-Olmos (Author)

17-26
- PDF
Cognitive Computing - Principles and Applications: Investigating principles and applications of cognitive computing, including mimicking human thought processes in AI systems

Dr. Beatrice Kern (Author)

8-16
- PDF
Capsule Routing Mechanisms - Advances and Applications: Analyzing advances in capsule routing mechanisms and their applications for enhancing routing efficiency in capsule networks

Dr. Mehmet Akın (Author)

1-7
- PDF

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Distributed Learning and Broad Applications in Scientific Research

About the Journal

Journal Snapshot

Current Issue

Articles

Cognitive Robotics - Perception and Action Integration: Examining cognitive robotics systems integrating perception and action capabilities to achieve intelligent behavior in robots

Cognitive Computing - Principles and Applications: Investigating principles and applications of cognitive computing, including mimicking human thought processes in AI systems

Capsule Routing Mechanisms - Advances and Applications: Analyzing advances in capsule routing mechanisms and their applications for enhancing routing efficiency in capsule networks

Journal Snapshot

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