ملف الباحث

Amit Kumar

5 أوراق في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. ArchiNet: A Concept-token based Approach for Determining Architectural Change Categories

    2021 · Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering

    Causes of software architectural change are classified as perfective, preventive, corrective, and adaptive. Change classification is used to promote common approaches for addressing similar changes, produce appropriate design documentation for a release, construct a developer's …

  2. Mining Frequent Itemsets over Uncertain Database using Matrix

    2020 · International Journal of Innovative Technology and Exploring Engineering

    In the area of data mining for finding frequent itemset from huge database, there exist a lot of algorithms, out of all Apriori algorithm is the base of all algorithms. In Uapriori algorithm each items …

  3. Quantum machine learning with Qiskit: Evaluating regression accuracy and noise impact

    2024 · IET Quantum Communication

    Abstract Quantum machine learning (QML) can be employed in solving complicated machine learning tasks although the performance in examining the regression processes is only barely understood. Knowledge gaps are intended to be closed by studying …

  4. Advanced Hacker Forum Use Collection and Classification Methods for Preventive Cyber Threat Intelligence

    2024

    The issue of cyber dangers has become a major concern for society. In response to the increasing danger of cyberattacks, businesses have started making significant investments in the creation of “Cyber Threat Intelligence (CTI)” in …

  5. CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators

    2025 · Qeios

    Cryptocurrencies fluctuate in markets with high price volatility, which becomes a great challenge for investors. To aid investors in making informed decisions, systems predicting cryptocurrency market movements have been developed, commonly framed as feature-driven regression …