Mathematics and statistics
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A Framework to Optimize Executor-Thread-Core Mapping in ROS2 to Guarantee Real-Time Performance
Real-time performance is a critical requirement in robotic systems, particularly when utilizing the Robot Operating System 2 (ROS2), which is designed to support high-performance, scalable, and modular robotics applications. Optimizing the mapping of executor threads to…
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Integrating Reinforcement Learning in Recommender Systems to Optimize User Interactions
Recommender systems play a pivotal role in modern digital platforms, guiding users toward relevant content or products. Traditional methods, such as collaborative filtering and content-based filtering, rely heavily on historical user data and predefined algorithms. However,…
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Optimizing Cloud Telemetry for Real-Time Performance Monitoring and Insights
Cloud telemetry is essential for monitoring and optimizing the performance of cloud-based systems, providing real-time insights into system health, resource utilization, and application behavior. As organizations increasingly rely on cloud services for mission-critical operations, the need…
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Optimizing Ad Campaign Management Using Google and Bing APIs
Effective ad campaign management is crucial for maximizing return on investment (ROI) in digital marketing. Leveraging the capabilities of Google and Bing Ads APIs offers businesses the opportunity to automate and optimize their campaigns across these…
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Predictive Algorithms for Ticket Pricing Optimization in Sports Analytics
Shyamakrishna Siddharth Chamarthy1, Archit Joshi2, Fnu Antara3, Dr Satendra Pal Singh4, Om Goel5 & Shalu Jain6 1Columbia University, USA, 2Syracuse University, Syracuse Colma CA 94014, USA , 3University of the Cumberlands, Kentucky, USA , 4Gurukul Kangri…
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Strategies for Driving Organizational Change through Process Optimization Efforts
Swati Bhatt Independent Researcher Delhi, India Abstract Organizational change is inevitable in today’s dynamic business environment. For organizations to remain competitive, sustainable, and efficient, they must continually adapt and optimize their processes. This paper explores the…
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Dynamic Route Optimization Using A Search and Haversine Distance in Large-Scale Maps
Abhijeet Bajaj1, Aman Shrivastav2, Krishna Kishor Tirupati3, Pronoy Chopra4, Prof. (Dr) Sangeet Vashishtha5 & Shalu Jain6 1Columbia University, USA , 2ABESIT Engineering College , Ghaziabad , 3IIITB, Johns Creek, GA , 30097, 4University Of Oklahoma USA,…
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Optimizing Time and Attendance Tracking Using Machine Learning
Priyank Mohan1, Nanda Kishore Gannamneni2 , Bipin Gajbhiye3 , Raghav Agarwal4 , Shalu Jain5, & Prof. (Dr) Sangeet Vashishtha6 1Seattle University , Dwarka, New Delhi 110077, India, 2Nagarjuna University, Acworth, GA 30101, USA, 3Johns Hopkins University,…
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Optimizing Predictive Analytics with PySpark and Machine Learning Models on Databricks
Rajkumar Kyadasu1, Shyamakrishna Siddharth Chamarthy2, Vanitha Sivasankaran Balasubramaniam3, Prof. (Dr) MSR Prasad4, Prof. (Dr) Sandeep Kumar5 & Prof. (Dr) Sangeet6 1Rivier University, South Main Street Nashua, NH 03060, 2Scholar, Columbia University, Sakthinagar 2nd Ave, Nolambur, Chennai…
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Role of AI in Cloud Resource Optimization and Cost Management
Shreyas Mahimkar Northeastern University, Huntington Ave, Boston, MA 02115, United Abstract The rapid adoption of cloud computing has made resource management a critical concern for organizations aiming to optimize costs while maintaining performance. Artificial Intelligence (AI)…