R
Richard S. Segall Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
10 h-index
117 pubs
431 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Richard S. Segall's research interests include the application of artificial intelligence and machine learning across various domains. He has investigated the use of these technologies for image processing in plant disease detection, as demonstrated in his 2024 publication on big data image processing for plant diseases. Segall has also explored AI's role in healthcare, with publications on its application for the detection and analysis of COVID-19 and other infectious diseases, as well as neural networks and machine learning for COVID-19 predictions.
His work extends to quantitative technology forecasting, including a review of trend extrapolation methods. Segall has also contributed to the understanding of open-source statistical software and its data processing capabilities. Further research includes the development of customer service chatbots utilizing Python, machine learning, and artificial intelligence, and exploring the present and future implications of ChatGPT in trans-disciplinary communications. Segall's scholarship metrics include an h-index of 10, 115 total publications, and 429 total citations.
Metrics
- h-index: 10
- Publications: 117
- Citations: 431
Selected Publications
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Integrated Data Analytics, Business Intelligence, and Machine Learning Architecture for SMEs (2026)
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Fitting the Void: Residual-Aware Geometric Packing for GenAI Workloads (2026)
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The Convergence of Big Data and AI Through Learning-Based Methods for Business Intelligence (2026)
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Unified Federated AI Framework for Credit Scoring (2026)
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Comparative Analysis of Edge vs. Cloud Contact Center Deployments: A Technical and Architectural Perspective (2025)
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Case Study on Understanding the Power of Retrieval Augmented Generation (RAG) (2025)
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Big Data Integration in Genomic Analysis (2025)
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Abstract P3086: Future Heart Motion Measurements in Deep Learning-based Predictive Imaging (2025)
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Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use? (2024)
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Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases (2024)
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Big Data Visualization for Black Sigatoka Disease of Bananas and Pathogen–Host Interactions (PHI) of Other Plants (2024)
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Image Processing of Big Data for Plant Diseases of Four Different Plant Categories (2024)
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Predicting Future Participation of Women in Space by Analyzing Past Trends (2024)
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A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence (2024)
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A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence (2024)
Collaboration Network
Top Collaborators
Daniel Berleant
University of Arkansas at Little Rock
10 shared publications
In database
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence
- Is technological progress a random walk? Examining data from space travel
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
Showing 5 of 10 shared publications
Venkata Jaipal Reddy Batthula
Southwestern College - Kansas (US)
10 shared publications
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Forecasting of a Technology Using Quantitative Satellite Lifetime Data
Showing 5 of 10 shared publications
Hyacinthe Aboudja
Oklahoma City University (US)
9 shared publications
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence
- Is technological progress a random walk? Examining data from space travel
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
Showing 5 of 9 shared publications
Peng-Hung Tsai
University of Arkansas at Little Rock
7 shared publications
In database
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
Showing 5 of 7 shared publications
Michael Howell
5 shared publications
In database
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
- Forecasting of a Technology Using Quantitative Satellite Lifetime Data
- Moore's law, Wright's law and the Countdown to Exponential Space
Prasanna Rajbhandari
Arkansas State University
4 shared publications
In database
- Image Processing of Big Data for Plant Diseases of Four Different Plant Categories
- Big Data Visualization for Black Sigatoka Disease of Bananas and Pathogen–Host Interactions (PHI) of Other Plants
- Big Data Integration in Genomic Analysis
- The Convergence of Big Data and AI Through Learning-Based Methods for Business Intelligence
Gao Niu
Bryant University (US)
3 shared publications
- A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities
- Overview of Big Data and Its Visualization
- Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing
Arjun Kaarat
Walmart (United States) (US)
3 shared publications
- Comparative Analysis of Edge vs. Cloud Contact Center Deployments: A Technical and Architectural Perspective
- Unified Federated AI Framework for Credit Scoring
- Fitting the Void: Residual-Aware Geometric Packing for GenAI Workloads
Lu Shen
University of South Florida (US)
2 shared publications
- Graph Sampling Through Graph Decomposition and Reconstruction Based on Kronecker Graphs
- Graph Sampling Through Graph Decomposition and Reconstruction Based on Kronecker Graphs
Les A. Piegl
University of South Florida (US)
2 shared publications
- Graph Sampling Through Graph Decomposition and Reconstruction Based on Kronecker Graphs
- Graph Sampling Through Graph Decomposition and Reconstruction Based on Kronecker Graphs
Vidhya Sankarasubbu
Arkansas State University
2 shared publications
In database
- Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious Diseases
- Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools
Ty Ebsen
University of Arkansas at Little Rock
2 shared publications
In database
- A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence
- A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence
Zichen Zhao
Yale University (US)
1 shared publication
- A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities
Zhijian Wu
New York University (US)
1 shared publication
- A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities
V. P. Kodali
1 shared publication
- Moore's law, Wright's law and the Countdown to Exponential Space
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