Search Results - "Cherukuri, Aswani Kumar"
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Intrusion Detection Model Using Fusion Of Chi-Square Feature Selection And Multi Class SVM
Published in Journal of King Saud University. Computer and information sciences (01-10-2017)“…Intrusion detection is a promising area of research in the domain of security with the rapid development of internet in everyday life. Many intrusion detection…”
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A comprehensive survey on formal concept analysis, its research trends and applications
Published in International journal of applied mathematics and computer science (01-06-2016)“…In recent years, FCA has received significant attention from research communities of various fields. Further, the theory of FCA is being extended into…”
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Rule Acquisition in Formal Decision Contexts Based on Formal, Object-Oriented and Property-Oriented Concept Lattices
Published in TheScientificWorld (01-01-2014)“…Rule acquisition is one of the main purposes in the analysis of formaldecision contexts. Up to now, there have been several types of rules informal decision…”
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Comparison of reduction in formal decision contexts
Published in International journal of approximate reasoning (01-01-2017)“…In formal concept analysis, many reduction methods have recently been proposed for formal decision contexts, and each of them was to reduce formal decision…”
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Three-way conceptual approach for cognitive memory functionalities
Published in International journal of machine learning and cybernetics (01-02-2017)“…Human brain represents the information and stores it as memory. They are stored in different parts of the brain and are linked together by associations. When a…”
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Improving Accuracy of Intrusion Detection Model Using PCA and optimized SVM
Published in Journal of computing and information technology (01-06-2016)“…Intrusion detection is very essential for providing security to different network domains and is mostly used for locating and tracing the intruders. There are…”
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Anomaly Detection Using XGBoost Ensemble of Deep Neural Network Models
Published in Cybernetics and information technologies : CIT (01-09-2021)“…Intrusion Detection Systems (IDSs) utilise deep learning techniques to identify intrusions with maximum accuracy and reduce false alarm rates. The feature…”
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Machine learning-based prediction models unleash the enhanced production of fucoxanthin in Isochrysis galbana
Published in Frontiers in plant science (16-10-2024)“…The marine microalga is prolific producer of fucoxanthin, which is a xanthophyll carotenoid with substantial global market value boasting extensive…”
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A study and analysis of recommendation systems for location-based social network (LBSN) with big data
Published in IIMB management review (01-03-2016)“…Recommender systems play an important role in our day-to-day life. A recommender system automatically suggests an item to a user that he/she might be…”
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Guest Editorial: Special issue on explainable AI empowered for indoor positioning and indoor navigation
Published in CAAI Transactions on Intelligence Technology (01-12-2023)“…The authors further explore how smartphones sensors utilise data for object movement alongside Bluetooth Low Energy beacon based localisation with the help of…”
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A Secure Peer-to-Peer Image Sharing Using Rubik’s Cube Algorithm and Key Distribution Centre
Published in Cybernetics and information technologies : CIT (01-09-2023)“…In this work, we build upon an implementation of a peer-to-peer image encryption algorithm: “Rubik’s cube algorithm”. The algorithm utilizes pixel-level…”
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A study and analysis of recommendation systems for location-based social network (LBSN) with big data
Published in IIMB management review (01-03-2016)Get full text
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The Rise of Generative Artificial Intelligence and Its Impact on Education: The Promises and Perils
Published in Computer (Long Beach, Calif.) (01-05-2023)“…While we applaud the promise and value of generative artificial intelligence and Chat Generative Pretrained Transformer–like tools, leveraging their potential…”
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Embrace open-environment machine learning for robust AI
Published in National science review (01-08-2024)“…Dive into the novel OpenML paradigm, unveiling its transformative approach to robust AI in dynamic environment, shaping Automated Machine Learning with…”
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Distributed three-way formal concept analysis for large formal contexts
Published in Journal of parallel and distributed computing (01-01-2023)Get full text
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Query expansion using named entity disambiguation for a question‐answering system
Published in Concurrency and computation (25-02-2020)“…Summary Due to the exponential growth in the size of available data, people often prefer direct answers in many cases, instead of a set of ranked documents…”
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Scalable algorithm for generation of attribute implication base using FP-growth and spark
Published in Soft computing (Berlin, Germany) (01-07-2021)“…Formal concept analysis (FCA) is an unsupervised machine learning technique used for knowledge discovery and representation. A major task in FCA is the…”
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Deep learning for Covid-19 forecasting: State-of-the-art review
Published in Neurocomputing (Amsterdam) (28-10-2022)“…The Covid-19 pandemic has galvanized scientists to apply machine learning methods to help combat the crisis. Despite the significant amount of research there…”
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Quantum-inspired ensemble approach to multi-attributed and multi-agent decision-making
Published in Applied soft computing (01-07-2021)“…Decision-making is the process of selecting a belief among several other candidate beliefs. The selected belief is usually regarded as a decision while the…”
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Decision-making in cognitive paradoxes with contextuality and quantum formalism
Published in Applied soft computing (01-10-2020)“…Contextuality in human cognition can be defined as the existence of thoughts that are locally consistent and globally inconsistent. Absence of contextuality in…”
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