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9 articles for “Probabilistic Programming”
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A Study on the Intersection of Human and Artificial Intelligence through Augmented Analytics
Abstract: The amount of exertion put in analytics by humans is colossal. Analytics today predominantly consists of performing the same steps repeatedly manually. Augmenting practices leverage the idea of automating the steps which are repeatedly done by humans and coalesce it with decision making capabilities of mankind. This will furnish us with applications where machines will understand data and make automated business analytics with the help of machine learning and AI. …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 7–12 Read article
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Unsupervised Probabilistic Debugging
Abstract: We presented an unsupervised probabilistic approach for the debugging of the programs; where the focus is on diagnosing the wrong answers based on the proposed unsupervised semantic parsing algorithm. This approach can be implemented over other programming language. The parsing of the test cases are heuristically employed with the proposed parsing algorithm which reduces the computational complexity and rationally give better performing algorithms.
Published in Recent Trends in Programming languages · Vol. 1, Issue 3, 2014 · pp. 13–15 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: Abstract This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT-based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 1–5 Read article
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Power Estimation of MAC Block for Artix 7 FPGA using Regression Technique
Abstract: This paper presents the power estimation approach using suitable machine learning technique. Artix-7 FPGA has been chosen as target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs have been given in the literature viz. probabilistic, statistical, and LUT based etc. However, this paper discussed a supervised machine learning approach namely curve fitting and regression analysis. The …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 27–37 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT- based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications Read article
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Comparison of Bit Error Rate and Interleaver in Coding Scheme
Abstract: The powerful channel coding schemes, namely, those based on turbo codes with different type of interleaver design and iterative scheme of decoding. The Shannon’s predictions to optimal codes would imply random like codes and intuitively implying that the decoding operation on these codes would be prohibitively complex in nature. A brief comparison of Turbo codes with different type interleaver will be given in this section, both in term of actual …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 1, 2020 · pp. 1–5 Read article
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Analysis of Project Management Optimization Using CPM and PERT in a Dynamic Business Environment
Abstract: In the current fast-changing business environment, organizations must remain agile and strategically responsive to unpredictable challenges such as supply chain disruptions, shifting consumer demands, and evolving market trends. Project management techniques like the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT) serve as valuable tools in helping businesses manage these complexities effectively. CPM is a time-focused method that identifies the longest sequence of dependent tasks in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 Read article
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VolleyNexis AI: A Multimodal Artificial Intelligence Framework for Opponent Strategy Prediction, Tactical Intelligence, and Athlete Performance Optimization in Volleyball
Abstract: The rapid advancement of Artificial Intelligence (AI) has profoundly transformed sports analytics, enabling deeper insights, real-time data analysis, and enhanced performance predictions. Noticeable results have been seen by enabling automated analysis of complex gameplay patterns along with athlete performance. Volleyball is a dynamic and strategic sport, which requires continuous tactical adjustments and constant monitoring of the player’s performance. This paper presents VolleyNexis AI, which is a multimodal artificial intelligence framework …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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Survey on Built in Self-Test (BIST) for FPGA Application
Abstract: The integration of Field- Programmable Gate Arrays (FPGAs) in various applications has surged in recent years due to their flexibility and reconfigurability. However, ensuring the reliability and functionality of these FPGAs is a critical concern. Built-in Self-Test (BIST) techniques have emerged as a promising solution to address this challenge by providing on-chip testing capabilities. This survey explores the landscape of BIST methodologies specifically tailored for FPGA applications. The study delves …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 3, 2023 · pp. 13–18 Read article