Browsing by Subject "Machine Learning"

Now showing items 1-12 of 12

    • Anomalies Detection in Radon Time Series for Earthquake Prediction Using Machine Learning Techniques 

      Gorasiya, Raghav (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Radioactive soil and water radon gas emission is a significant precursor to earthquakes.The meteorological parameters such as temperature, pressure, humidity,rainfall, and windspeed influence the radon gas emission from ...

    • Crime information extraction from news articles 

      Gohel, Prashant (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      In the modern era all news reportings are available in digital form. Most newsagencies put it on their website and are freely available. This motivates us totry extracting some information from online news reporting. While ...

    • Distributed TDMA scheduling in tree based wireless sensor networks with multiple data attributes and multiple sinks 

      Vasavada, Tejas Mukeshbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Data collection is an important application of wireless sensor networks. Sensors are deployed in given region of interest. They sense physical quantity like temperature, pressure, solar radiation, speed and many others. ...

    • Explanations by Counterfactual Argument in Recommendation Systems 

      Pathak, Yash (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      In recent advances in the domains of Artificial Intelligence (AI) and MachineLearning (ML), complex models are used. Due to their complexity and approaches,they have black box type of nature and raise the question of a ...

    • Machine learning in financial data EPS estimates 

      Sharma, Rohan (2020)
      The project “EPS Estimates” is as the name suggests a work on Earnings Per Share figures released by companies annually and quarterly. The whole project is intended to come up with a better consensus methodology for EPS ...

    • ML-based clients prioritization and ranking algorithm 

      Sharma, Rajat (2020)
      Kristal.AI is an AI-powered DigitalWealth Management Platform. It is one of the leading firms in the Fin-tech industry, which provide its customers a platform for wealth investments, It has a very well experienced committee ...

    • Object Recognition using Self Learned Features 

      Parikh, Ketul D. (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      A great deal of research has been centered around developing algorithms forlearning features from unlabelled information. Much advance has been made onbenchmark datasets by utilizing progressively complex unsupervised ...

    • Performance and power modeling on disparate computer systems using machine learning 

      Kumar, Rajat (2020)
      Performance and Power prediction is an active area of research due to its applications in the advancements of hardware-software co-development. We have performed experiments to evaluate the performance of several machine ...

    • Performance and power prediction on disparate computer systems 

      Amrutiya, Aditya (2020)
      Performance and Power prediction is an active area of research due to its applications in the advancements of hardware-software co-development. Several empirical machine-learning models such as linear models, tree-based ...

    • Set labeling of graphs 

      Kumar, Lokesh (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Given a universal set and its subsets, intersection graph can be characterized as the graph with one distinct subset of given universal set for each vertex of the graph and any two non-adjacent vertices have no element ...

    • The Study of Vertex Coloring Algorithms Using Heuristic Approaches 

      Lodha, Pratik (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Graph vertex coloring is one of the most studied NP-complete optimization problem (READ, 1972) [2]. The problem is that; given a graph G, determine the number of colors required to color G, so that no two adjacent vertices ...

    • VIU content access layer intelligent & flexible content selection 

      Marakana, Meet (2020)
      For OTT media streaming products like VIU, it is really important to increase the consumption of media content as much as possible. To get the highest benefit, the user must stay on the platform and consume numerous content. ...