Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jasmin Praful Bharadiya"'
Autor:
Burak Cinar, Jasmin Praful Bharadiya
Publikováno v:
Asian Journal of Research in Computer Science. 16:1-14
Cloud computing has become increasingly popular in recent years, evolving into a computing paradigm that is both cost-effective and efficient. It has the potential to be one of the technologies that has had the most significant impact on computing th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc3659b7a47cbf1ae2d6838d6dd71aab
https://doi.org/10.9734/ajrcos/2023/v16i1330
https://doi.org/10.9734/ajrcos/2023/v16i1330
Autor:
Jasmin Praful Bharadiya
Publikováno v:
European Journal of Technology. 7:58-66
In NLP research, unsupervised or semi-supervised learning techniques are increasingly getting more attention. These learning techniques are capable of learning from data that has not been manually annotated with the necessary answers or by combining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c933d8d4f07426c5c489acf317f48bd
https://doi.org/10.47672/ejt.1473
https://doi.org/10.47672/ejt.1473
Publikováno v:
Journal of Engineering Research and Reports. 24:29-44
The art of predicting crop production is done before the crop is harvested. Crop output forecasts will help people make timely judgments concerning food policy, prices in markets, import and export laws, and acceptable warehousing. It is possible to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e3fc0275087366ffd98c68babc24638
https://doi.org/10.9734/jerr/2023/v24i12858
https://doi.org/10.9734/jerr/2023/v24i12858
Autor:
Jasmin Praful Bharadiya
Bayesian machine learning is a subfield of machine learning that incorporates Bayesian principles and probabilistic models into the learning process. It provides a principled framework for modeling uncertainty, making predictions, and updating belief
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::721beda44bdcc8e65f2b64fadb470557
Autor:
Jasmin Praful Bharadiya
Recurrent Neural Networks (RNNs) have become competitive forecasting methods, as most notably shown in the winning method of the recent M4 competition. However, established statistical models such as exponential smoothing (ETS) and the autoregressive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c968d8ef458061e55bf396673e17a19
Autor:
Jasmin Praful Bharadiya
Deep learning has recently been applied to scene labelling, object tracking, pose estimation, text detection and recognition, visual saliency detection, and image categorization. Deep learning typically uses models like Auto Encoder, Sparse Coding, R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26df4d6e6cd1d0787faa3f42dcd0cb84
Integrating Artificial Intelligence (AI) presents immense opportunities and daunting challenges in the rapidly evolving finance landscape as AI-driven algorithms and models revolutionize decision-making and enhance efficiency, concerns about bias, et
Artificial Intelligence (AI) permeates our daily lives, revolutionizing routine tasks. However, the profound implications of AI on business management demand meticulous scrutiny. Leaders and organizations must proactively shape strategies to align wi
The two-volume set LNCS 15404 and 15405 constitutes the refereed proceedings of the 22nd International Conference on Service-Oriented Computing, ICSOC 2024, held in Tunis, Tunisia, during December 3–6, 2024. The 38 full papers and 19 short papers p