To improve cybersecurity threat identification and incident response capabilities, the suggested cloud-based darknet traffic analysis and categorization system incorporates cutting-edge machine learning algorithms and...
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Skin disease classification is a critical aspect of dermatological diagnostics, with millions of people globally affected by diverse conditions. Skin diseases, ranging from infectious to neoplastic, are traditionally ...
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In today's culture, waste management holds an important role in urban areas as the increase in waste dumping may lead to health issues as well as make the environment contaminated. The current waste management sys...
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The use of information technology to trade information, deliver services, and other things is becoming more and more commonplace in the era of technological advancement. Tendering is one such area where the public and...
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Network Intrusion Detection System (NIDS) is most momentous safety techniques in mobile networks. Intrusion detection (ID) is significant approach aimed at identifying attacks then applying it on security procedures t...
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The hydropower plants are crucial for safeguarding the consistency and the safety of the power generation *** research work presents a extensive study onthe classification of the electrical faults and the fault detect...
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Brain tumors are a significant health concern in India, with an estimated 40,000 to 50,000 new cases diagnosed annually. The country's limited healthcare resources and infrastructure exacerbate the challenge, lead...
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In the modern technological era, the applications of Artificial Intelligence (AI) have been growing exponentially. The sports industry has also experienced an increased demand for AI and Machine Learning (ML) techniqu...
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The term sentiment analysis deals with sentiment classification based on the review made by the user in a social *** sentiment classification accuracy is evaluated using various selection methods,especially those that d...
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The term sentiment analysis deals with sentiment classification based on the review made by the user in a social *** sentiment classification accuracy is evaluated using various selection methods,especially those that deal with algorithm *** this work,every sentiment received through user expressions is ranked in order to categorise sentiments as informative and *** order to do so,the work focus on Query Expansion Ranking(QER)algorithm that takes user text as input and process for sentiment analysis andfinally produces the results as informative or *** challenge is to convert non-informative into informative using the concepts of classifiers like Bayes multinomial,entropy modelling along with the traditional sentimental analysis algorithm like Support Vector Machine(SVM)and decision *** work also addresses simulated annealing along with QER to classify data based on sentiment *** the input volume is very fast,the work also addresses the concept of big data for information retrieval and *** result com-parison shows that the QER algorithm proved to be versatile when compared with the result of *** work uses Twitter user comments for evaluating senti-ment analysis.
This paper concentrates on enhancing customer care and booking services with the introduction of a system named Language Bridge. Utilizing advanced technologies, in-cluding speech recognition and natural language proc...
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