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: 2458-1232
Impact Factor: 7.2 (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
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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
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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
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Quantum-enhanced Sensing - Precision Measurement: Studying quantum-enhanced sensing techniques for achieving precision measurements beyond classical limits in fields such as metrology and geophysics

Dr. Karim Bennani (Author)

45-52
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Quantum Machine Learning - Quantum-enhanced Optimization: Analyzing quantum-enhanced optimization algorithms for solving combinatorial optimization problems with improved efficiency and solution quality

Dr. Ekaterina Ovchinnikova (Author)

61-71
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Quantum Key Distribution - Practical Implementations: Analyzing practical implementations of quantum key distribution (QKD) systems for secure key generation and distribution over long distances

Dr. Ying Liu (Author)

27-35
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Quantum Information Processing - Hardware Technologies: Exploring hardware technologies for quantum information processing, including superconducting qubits, trapped ions, and photonic quantum devices

Dr. Yasemin Şahin (Author)

80-87
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Quantum Entanglement - Generation and Applications: Exploring methods for generating and characterizing quantum entanglement and investigating its applications in quantum communication and computing

Dr. Xiaojing Wang (Author)

53-60
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Quantum Computing Platforms - Development and Integration: Investigating the development and integration of quantum computing platforms for building scalable and fault-tolerant quantum computers

Dr. Priya Rajagopal (Author)

36-45
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Quantum Algorithms for Materials Science: Studying quantum algorithms for chemistry and materials science applications

Dr. Daniel Gutiérrez (Author)

72-79
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Leveraging Artificial Intelligence for Predictive Change Management in Information Systems Projects

Namratha Peddisetty, Amith Kumar Reddy (Author)

88-94
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Virtual Reality User Experience - Challenges and Solutions: Analyzing challenges and solutions in virtual reality (VR) user experience (UX) design for creating immersive and engaging virtual environments

Dr. Natalia Borisova (Author)

109-119
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Change Management in Recommender Systems: Algorithms and Evaluation Metrics for Enhancing User Satisfaction and Decision-Making

Dr. Arvind Pandey (Author)

89-100
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Multi-modal Interaction - Integration Techniques: Investigating integration techniques for multi-modal interaction, combining inputs from different modalities such as voice, touch, and gesture

Dr. Aisha Bashir (Author)

119-128
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Change Management through Information Visualization Techniques and Applications: Enhancing Decision-Making in Complex Data Environments

Dr. Carlos Jiménez (Author)

99-108
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Change Management in Graph Analytics for Network Analysis and Visualization

Dr. Elena Ferrari (Author)

79-90
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Neural Network Architectures for Lane Detection and Road Segmentation in Self-Driving Cars

Dr. George Tsoulos (Author)

129-153
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Privacy-Aware Machine Learning Algorithms for Autonomous Vehicle Data Analysis

Dr. Rajesh Pandey (Author)

154-178
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Secure Communication Protocols for Vehicle-to-Vehicle Communication in Autonomous Vehicles

Dr. Ekaterina Vybornova (Author)

179-205
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Secure Over-the-Air Software Updates for Autonomous Vehicle Operating Systems

Dr. Eugene Ndego (Author)

206-230
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Threat Intelligence Fusion Techniques for Enhanced Cybersecurity in Autonomous Vehicle Networks

Dr. Heba Abd El-Aziz (Author)

230-253
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Privacy-Preserving Location-based Services for Autonomous Vehicle Navigation

Dr. Hirokazu Takahashi (Author)

254-277
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Privacy-Preserving Data Collection Frameworks for Autonomous Vehicle Telemetry

Dr. Natalia Borisova (Author)

278-301
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Modernizing Financial Markets with AI and Cloud Computing: Enhancing Efficiency, Precision, and Security Across Stocks, Crypto, Bonds, and Government Securities

Hassan Rehan (Author)

302-318
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Hybrid Deep Learning Models for Big Data: A Case Study in Predictive Healthcare Analytics

Ravi Teja Potla (Author)

319-325
- PDF
Development of Real-Time Evaluation Frameworks for Large Language Models (LLMs) Simulating Production Environments to Assess Performance Stability Under Variable System Loads and Usage Scenarios

Venkata Mohit Tamanampudi (Author)

326-359
- PDF
AI-Enhanced Continuous Integration and Continuous Deployment Pipelines Leveraging Machine Learning Models for Predictive Failure Detection, Automated Rollbacks, and Adaptive Deployment Strategies in Agile Software Development

Venkata Mohit Tamanampudi (Author)

56-96
- PDF
Autonomous Optimization of DevOps Pipelines Using Reinforcement Learning Adaptive Decision-Making for Dynamic Resource Allocation, Test Reordering, and Deployment Strategy Selection in Agile Environments

Venkata Mohit Tamanampudi (Author)

360-398
- PDF
AI-Based Decision Support Systems for Revitalizing American Manufacturing: A Comprehensive Study

Dr. Evelyn Figueroa (Author)

101-132
- PDF
AI-Based Inventory Management Solutions for American Manufacturing and Retail: Techniques and Real-World Applications

Dr. Mehmet Akın (Author)

132-148
- PDF
Deep Learning Applications in Smart Manufacturing for Revitalizing the U.S. Industrial Sector

Dr. Beatrice Kern (Author)

147-174
- PDF
Deep Learning Applications in Smart Manufacturing for Revitalizing the U.S. Pharmaceutical Sector

Dr. Juan Gómez-Olmos (Author)

173-191
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The Application of Deep Learning Techniques in Advanced Robotics for Aerospace Manufacturing: Enhancing Efficiency and Competitiveness in the USA

Dr. Sun-Young Park (Author)

191-216
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The Application of Deep Learning Techniques in Advanced Robotics for Enhancing Efficiency and Competitiveness in U.S. Manufacturing

Dr. Daniela Ramos (Author)

216-235
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The Impact of Natural Language Processing on Streamlined Operations in U.S. Manufacturing and Logistics: Enhancing Productivity

Dr. Hassan Ali (Author)

235-254
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The Impact of Natural Language Processing on Workflow Efficiency in American Tech Product Manufacturing: Methods and Case Studies

Dr. Ingrid Gustavsson (Author)

254-269
- PDF
The Role of AI-Based Predictive Maintenance in U.S. Pharmaceutical Manufacturing

Dr. Kwame Nkrumah (Author)

270-284
- PDF
The Role of AI-Based Predictive Maintenance Solutions in U.S. Manufacturing: Techniques and Real-World Applications

Dr. Natalia Popova (Author)

284-300
- PDF
The Role of AI-Driven Energy Efficiency Solutions in Sustainable U.S. Medicine Manufacturing

Dr. Ahmed Hassanien (Author)

300-323
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The Role of AI-Driven Predictive Analytics in Enhancing U.S. Retail Supply Chain Operations

Dr. Evelyn Cruz (Author)

324-336
- PDF
AI-Augmented Project Management Enhancing Decision-Making Through Predictive Analytics and Automation

John Smith (Author)

303-308
- PDF
AI-Enhanced Supply Chain Transparency Using Blockchain A Case Study in Global Trade

Emily Smith (Author)

309-316
- PDF
Automating Model Retraining in DevOps Pipelines with MLOps Addressing Model Drift and Data Evolution

Emily Johnson (Author)

317-323
- PDF
Blockchain-Integrated AI Systems for Decentralized Cybersecurity A Resilient Approach to Threat Detection

Dr. Sarah Thompson (Author)

324-331
- PDF
Enhancing Model Security in DevOps Pipelines A Comprehensive Approach to MLOps Security

Alexandra Thompson (Author)

332-338
- PDF
Exploring Tokenized Incentive Models for AI Contributions in Blockchain Ecosystems

Dr. Emily Thompson (Author)

339-344
- PDF
Graph Neural Networks for Malware Detection A Novel Approach to Cybersecurity

Emily Johnson (Author)

345-352
Scaling DevOps Practices for Distributed Machine Learning Addressing Challenges in Large-Scale MLOps Deployments

Michael Carter (Author)

353-359
- PDF
The Role of Natural Language Processing in Automating Cybersecurity Compliance Audits

Jane Smith (Author)

360-366
- PDF
Integrating HRAs and HSAs with Health Insurance Innovations: The Role of Technology and Data

Kumar Naidu (Author)

399-419
- PDF
AI-Based Enhancements for Vehicle-to-Home Integration

Dr. Thomas Meyer (Author)

421-437
- PDF
AI-Enhanced Financial Forecasting

Dr. Sébastien Lachapelle (Author)

439-453
- PDF
Leveraging AI for Financial Risk Analytics

Dr. Soo-Yeon Oh (Author)

455-472
- PDF
Machine Learning for Enhancing Autonomous Vehicle Decision-Making in Urban Environments

Dr. Luis García (Author)

473-492
- PDF
Real-Time AI-Driven Solutions for Smart Parking Systems

Dr. Hassan Ali (Author)

494-506
- PDF
Data-Driven Process Mining for Automated Compliance Monitoring Using AI Algorithms

Amish Doshi (Author)

420-430
- PDF
AI-Driven Predictive Modeling for Risk Assessment in Insurance: Utilizing Machine Learning Algorithms for Underwriting, Fraud Detection, and Claims Forecasting

VinayKumar Dunka (Author)

512-549
- PDF
AI-Enhanced Predictive Maintenance Systems for Industrial Equipment: Developing Machine Learning Models to Forecast Failures, Optimize Maintenance Schedules, and Minimize Downtime

Nischay Reddy Mitta (Author)

550-591
- PDF
Enhancing Supply Chain Management with AI: Advanced Methods for Inventory Optimization, Demand Forecasting, and Logistics

VinayKumar Dunka (Author)

431-471
- PDF
Integrating AI and IoT for Real-Time Monitoring and Control in Smart Factories

Nischay Reddy Mitta (Author)

471-511
- PDF

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