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International Conference on Emerging Trends in Mathematics and Statistics (IC-ETMS)

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Articles

Integrating Deep Learning with Statistical Time Series Analysis

Dr. Aditya Sharma, Dr. Kavya Reddy, Dr. Sunil Mehta, Dr. Tanvi Iyer, Dr. Aarav Nair, Dr. Michael Clark

Year: 2024 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Time series analysis has seen significant advancements with the integration of deep learning models. This research explores innovative methods for combining statistical approaches with deep learning architectures to analyze and forecast time-dependent data. By utilizing hybrid models, we address challenges such as seasonality, noise reduction, and irregular patterns in datasets. Applications in sectors like energy, finance, and transportation showcase the improved predictive capabilities of our methods. The findings highlight the synergy between statistical and deep learning tools, paving the way for robust, adaptive models in real-world scenarios.

Robust Statistical Models for Predicting Pandemic Outbreaks

Dr. Priya Sen, Dr. Vikram Malhotra, Dr. Sanjay Jain, Dr. Ruchi Gupta, Dr. Anand Bhattacharya, Dr. Sophia Martinez

Year: 2024 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Predicting pandemic outbreaks is crucial for public health preparedness. This study proposes robust statistical models incorporating real-time data streams and epidemiological trends. By integrating Bayesian inference and stochastic modeling, we enhance the accuracy of outbreak forecasts. The proposed framework is validated using historical pandemic data, showcasing its adaptability to new and evolving pathogens. Our results underscore the importance of advanced statistical methodologies in supporting timely decision-making and intervention strategies.

Advances in Statistical Methods for AI-Driven Data Fusion

Dr. Shreya Desai, Dr. Rohit Kulkarni, Dr. Meenal Verma, Dr. Anuj Ghosh, Dr. Abhinav Reddy, Dr. Laura Thompson

Year: 2024 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Data fusion is a cornerstone of modern AI applications, combining information from diverse sources. This paper introduces advanced statistical methods for optimizing AI-driven data fusion. By addressing challenges like data heterogeneity and uncertainty, our approach ensures seamless integration of multimodal datasets. We illustrate the effectiveness of these techniques through case studies in autonomous systems and medical diagnostics. The research demonstrates the pivotal role of statistics in enhancing the reliability and interpretability of AI solutions.

Statistical Perspectives on Neural Network Optimization

Dr. Nidhi Agrawal, Dr. Sameer Patil, Dr. Arjun Chawla, Dr. Poonam Das, Dr. Rajesh Kaushik, Dr. Benjamin Wright

Year: 2024 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Neural network optimization remains a key area of research in machine learning. This paper investigates statistical perspectives to improve optimization techniques in neural networks. We propose novel gradient-based algorithms that incorporate incorporate statistical regularization to enhance convergence rates and mitigate overfitting. Experiments conducted on benchmark datasets demonstrate improved performance metrics. Our findings offer a statistical lens to refine machine learning frameworks, fostering innovation in AI development.

Novel Statistical Approaches to Evaluate Renewable Energy Efficiency

Dr. Sneha Rao, Dr. Gaurav Mishra, Dr. Kartik Singh, Dr. Anjali Sharma, Dr. Manish Bansal, Dr. Emily Foster

Year: 2024 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Evaluating the efficiency of renewable energy systems requires innovative statistical tools. This study introduces new approaches to model and analyze energy generation data. By applying regression analysis and machine learning algorithms, we address variability and predict performance under different scenarios. The proposed methods are validated using real-world solar and wind energy datasets. Our research highlights the critical role of advanced statistics in driving sustainable energy innovations.

Statistical Modelling of Consumer Behavior in Digital Ecosystems

Dr. Akash Gupta, Dr. Varun Iyer, Dr. Ritika Malhotra, Dr. Kavita Singh, Dr. Divya Menon, Dr. John Carter

Year: 2024 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Digital ecosystems generate vast amounts of consumer behavior data, necessitating robust analytical methods. This paper presents statistical models to predict consumer preferences and purchase patterns. By integrating cluster analysis with predictive modeling, we provide insights into market segmentation and product optimization. The models are tested on e-commerce datasets, showcasing their accuracy and practical applications. This research bridges the gap between statistical theory and real-world digital analytics.

Statistical Analysis of Quantum Computing Algorithms

Dr. Tarun Deshpande, Dr. Shalini Kapoor, Dr. Ajay Nair, Dr. Radhika Verma, Dr. Mukesh Arora, Dr. Olivia Brown

Year: 2024 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The intersection of quantum computing and statistics offers exciting opportunities for algorithm development. This study evaluates quantum algorithms from a statistical perspective, focusing on error mitigation and performance optimization. By applying statistical inference to quantum computational processes, we identify pathways for enhancing algorithmic efficiency. Experimental simulations validate our approaches, demonstrating their potential for scalable quantum applications. This research underscores the complementary roles of statistics and quantum science.

Statistical Innovations in Supply Chain Optimization

Dr. Harsha Kulkarni, Dr. Ravi Shukla, Dr. Piyush Mehta, Dr. Neeta Chatterjee, Dr. Ramesh Balakrishnan, Dr. Samantha Wilson

Year: 2024 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Supply chains are increasingly complex, requiring advanced statistical methods for optimization. This paper introduces innovative models that combine stochastic processes with linear programming to optimize supply chain logistics. Case studies in manufacturing and retail sectors demonstrate significant cost and time savings. Our research contributes to enhancing the resilience and efficiency of supply chains, particularly in uncertain market conditions.

Statistical Tools for Real-Time Weather Prediction

Dr. Kriti Sinha, Dr. Aravind Menon, Dr. Mohit Yadav, Dr. Vandana Gupta, Dr. Suresh Pillai, Dr. Jennifer Lee

Year: 2024 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Real-time weather prediction poses significant challenges due to the dynamic nature of atmospheric data. This study presents statistical tools for real-time analysis, integrating machine learning with traditional weather models. By utilizing ensemble methods and time series analysis, we achieve higher accuracy in short-term weather forecasts. Validation on regional datasets highlights the practicality of our approach. This research enhances decision-making in agriculture, disaster management, and urban planning.

Statistical Evaluation of Blockchain Security Models

Dr. Prateek Bhardwaj, Dr. Snehal Rane, Dr. Vinayak Joshi, Dr. Malini Deshmukh, Dr. Yogesh Kulkarni, Dr. William Turner

Year: 2024 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Blockchain technology promises secure and transparent transactions, yet faces vulnerabilities requiring statistical scrutiny. This paper evaluates blockchain security models through statistical analysis, focusing on cryptographic algorithms and consensus mechanisms. By applying probabilistic modeling, we assess risks and propose mitigation strategies. Our findings highlight the importance of rigorous statistical evaluation in fortifying blockchain systems against emerging cyber threats.


International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

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