Financial technology (FinTech) has drawn much attention among investors and companies. While conventional stock analysis in FinTech targets at predicting stock prices, less effort is made for profitable stock recommen...
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A number of attempts have already been implemented formally to solve road traffic congestion. However, the objective strategy type of road traffic engineering could not be proven truly. Try and error is one inefficien...
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Cryptocurrency price prediction is all about the digital currency called as cryptocurrency this software helps the new user to raise the understanding level regarding the cryptocurrency. Cryptocurrency like Bitcoin, E...
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Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty *** are exploring machine learning to predict softwa...
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Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty *** are exploring machine learning to predict software bugs,but a more precise and general approach is *** bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning ***,these studies are not generalized and efficient when extended to other ***,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification *** methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a *** National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were *** reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.
Supplier evaluation has a crucial role in maintaining efficiency in the food industry supply chain. Machine learning approaches can be employed to formulate models aimed at analyzing and evaluating supplier performanc...
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With the rapid development of the Internet, telemedicine information systems (TLS) appear more and more around us. Nevertheless, the security of patient’s medical infor-mation remains one of the most critical factors...
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Digital content industry, encompassing areas such as digital games, computer animation, digital audio-visual applications, and digital art, plays a pivotal role in today's and future developmental trends. Maya 3D ...
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Fully homomorphic encryption (FHE) is a useful cryptographic primitive. It makes a third-party manipulate data in the ciphertext space and therefore is a key technology for privacy-preserving outsourcing services. The...
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作者:
PrathyakshiniPrathwiniPratheeksha Hegde, N.VaishaliRashmi, N.Kumar, Archana Praveen
NMAM Institute of Technology Department of Information Science and Engineering Karkala Nitte India
NMAM Institute of Technology Department of Master of Computer Applications Karkala Nitte India
NMAM Institute of Technology Department of Computer Science and Engineering Karkala Nitte India Manipal Academy of Education
Manipal Institute of Technology Department of Computer Science and Engineering India
Speech recognition systems play an integral role in numerous applications, from virtual assistants to accessibility tools. This paper offers a new viewpoint to speech recognition utilizing computer vision and deep lea...
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In order to improve video delivery, an Enhanced Explicit Port Forwarding (EEPF) solution is proposed. Data are divided into ordinary packets and video packets using a packet identification mechanism. Traditional mecha...
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