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6. Fine Tuning LLM for Enterprise: Practical Guidelines and Recommendations

Author

J, Mathav Raj, VM, Kushala, Warrier, Harikrishna, and Gupta, Yogesh

Subjects
Computer Science - Software Engineering, Computer Science - Machine Learning
Abstract

There is a compelling necessity from enterprises for fine tuning LLMs (Large Language Models) o get them trained on proprietary domain knowledge. The challenge is to imbibe the LLMs with domain specific knowledge using the most optimial resource and cost and in the best possible time. Many enterprises rely on RAG (Retrieval Augmented Generation) which does not need LLMs to be ine-tuned but they are limited by the quality of vector databases and their retrieval capabilities rather than the intrinsic capabilities of the LLMs themselves. In our current work we focus on fine tuning LLaMA, an open source LLM using proprietary documents and code from an enterprise repository and use the fine tuned models to evaluate the quality of responses. As part of this work, we aim to guide beginners on how to start with fine tuning an LLM for documentation and code by making educated guesses on size of GPU required and options that are available for formatting the data. We also propose pre processing recipes for both documentation and code to prepare dataset in different formats. The proposed methods of data preparation for document datasets are forming paragraph chunks, forming question and answer pairs and forming keyword and paragraph chunk pairs. For code dataset we propose forming summary and function pairs. Further, we qualitatively evaluate the results of the models for domain specific queries. Finally, we also propose practical guidelines and recommendations for fine tuning LLMs., Comment: 17 pages, 12 tables, 3 figures

Published
2024

7. Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset

Author

Bui, Hung, Warrier, Harikrishna, and Gupta, Yogesh

Subjects
Computer Science - Machine Learning
Abstract

Electronic health record (EHR) is more and more popular, and it comes with applying machine learning solutions to resolve various problems in the domain. This growing research area also raises the need for EHRs accessibility. Medical Information Mart for Intensive Care (MIMIC) dataset is a popular, public, and free EHR dataset in a raw format that has been used in numerous studies. However, despite of its popularity, it is lacking benchmarking work, especially with recent state of the art works in the field of deep learning with time-series tabular data. The aim of this work is to fill this lack by providing a benchmark for latest version of MIMIC dataset, MIMIC-IV. We also give a detailed literature survey about studies that has been already done for MIIMIC-III., Comment: 7 pages, 1 figure, 3 tables

Published
2024

17. Analysis of Feature Extraction Technique LBP and Classification Model SVM for CECT Images

Author

Sarma, Rituparna, Gupta, Yogesh Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Hassanien, Aboul Ella, editor, Anand, Sameer, editor, Jaiswal, Ajay, editor, and Kumar, Prabhat, editor

Published
2024
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18. Biomedical Data Visualization

Author

Gupta, Yogesh, Chakrabarti, Amlan, Series Editor, Becker, Jürgen, Editorial Board Member, Hu, Yu-Chen, Editorial Board Member, Chattopadhyay, Anupam, Editorial Board Member, Tribedi, Gaurav, Editorial Board Member, Saha, Sriparna, Editorial Board Member, Goswami, Saptarsi, Editorial Board Member, Sharan, Aditi, editor, Malik, Nidhi, editor, Imran, Hazra, editor, and Ghosh, Indira, editor

Published
2024
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19. Biomedical Text Data Visualization

Author

Verma, Shikha, Gupta, Yogesh, Chakrabarti, Amlan, Series Editor, Becker, Jürgen, Editorial Board Member, Hu, Yu-Chen, Editorial Board Member, Chattopadhyay, Anupam, Editorial Board Member, Tribedi, Gaurav, Editorial Board Member, Saha, Sriparna, Editorial Board Member, Goswami, Saptarsi, Editorial Board Member, Sharan, Aditi, editor, Malik, Nidhi, editor, Imran, Hazra, editor, and Ghosh, Indira, editor

Published
2024
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20. Predicting Drought Based on Weather and Soil Data Analysis

Author

Gupta, Yogesh, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Yang, Xin-She, editor, Sherratt, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2024
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21. A Review of Brain Tumor MRI Classification and Feature Extraction Using Varying Methods

Author

Agarwal, Sunil Kumar, Gupta, Yogesh Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Sharma, Harish, editor, Shrivastava, Vivek, editor, Tripathi, Ashish Kumar, editor, and Wang, Lipo, editor

Published
2024
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22. Prognosis of Dengue Incidences in India Using LSTM with Multivariate Data

Author

Sharma, Shruti, Gupta, Yogesh Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kumar, Sandeep, editor, Balachandran, K., editor, Kim, Joong Hoon, editor, and Bansal, Jagdish Chand, editor

Published
2024
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23. Prediction of HDFC Bank Stock Price Using Machine Learning Techniques

Author

Gupta, Yogesh, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Verma, Om Prakash, editor, Wang, Lipo, editor, Kumar, Rajesh, editor, and Yadav, Anupam, editor

Published
2024
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24. A Comparative Study of Deep Learning Methods for Short-Term Solar Radiation Forecasting

Author

Singh, Praveen Kumar, Saraswat, Amit, Gupta, Yogesh, Goyal, Sunil Kumar, Gupta, Yeshpal, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Goyal, Sunil Kumar, editor, Palwalia, Dheeraj Kumar, editor, Tiwari, Rajiv, editor, and Gupta, Yeshpal, editor

Published
2024
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25. Real-Time Network Traffic Analysis for Threat Detection

Author

Gupta, Yogesh, Saraswat, Amit, Goyal, Sunil Kumar, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Goyal, Sunil Kumar, editor, Palwalia, Dheeraj Kumar, editor, Tiwari, Rajiv, editor, and Gupta, Yeshpal, editor

Published
2024
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28. Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update

Author

Nguyen, Hiep, Phan, Lam, Warrier, Harikrishna, and Gupta, Yogesh

Subjects
Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Federated learning (FL) is an emerging technique used to collaboratively train a global machine learning model while keeping the data localized on the user devices. The main obstacle to FL's practical implementation is the Non-Independent and Identical (Non-IID) data distribution across users, which slows convergence and degrades performance. To tackle this fundamental issue, we propose a method (ComFed) that enhances the whole training process on both the client and server sides. The key idea of ComFed is to simultaneously utilize client-variance reduction techniques to facilitate server aggregation and global adaptive update techniques to accelerate learning. Our experiments on the Cifar-10 classification task show that ComFed can improve state-of-the-art algorithms dedicated to Non-IID data.

Published
2022

29. Major proliferation of transposable elements shaped the genome of the soybean rust pathogen Phakopsora pachyrhizi

Author

Gupta, Yogesh K, Marcelino-Guimarães, Francismar C, Lorrain, Cécile, Farmer, Andrew, Haridas, Sajeet, Ferreira, Everton Geraldo Capote, Lopes-Caitar, Valéria S, Oliveira, Liliane Santana, Morin, Emmanuelle, Widdison, Stephanie, Cameron, Connor, Inoue, Yoshihiro, Thor, Kathrin, Robinson, Kelly, Drula, Elodie, Henrissat, Bernard, LaButti, Kurt, Bini, Aline Mara Rudsit, Paget, Eric, Singan, Vasanth, Daum, Christopher, Dorme, Cécile, van Hoek, Milan, Janssen, Antoine, Chandat, Lucie, Tarriotte, Yannick, Richardson, Jake, Melo, Bernardo do Vale Araújo, Wittenberg, Alexander HJ, Schneiders, Harrie, Peyrard, Stephane, Zanardo, Larissa Goulart, Holtman, Valéria Cristina, Coulombier-Chauvel, Flavie, Link, Tobias I, Balmer, Dirk, Müller, André N, Kind, Sabine, Bohnert, Stefan, Wirtz, Louisa, Chen, Cindy, Yan, Mi, Ng, Vivian, Gautier, Pierrick, Meyer, Maurício Conrado, Voegele, Ralf Thomas, Liu, Qingli, Grigoriev, Igor V, Conrath, Uwe, Brommonschenkel, Sérgio H, Loehrer, Marco, Schaffrath, Ulrich, Sirven, Catherine, Scalliet, Gabriel, Duplessis, Sébastien, and van Esse, H Peter

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, Generic health relevance, Good Health and Well Being, Phakopsora pachyrhizi, DNA Transposable Elements, Glycine max, Ecosystem, Basidiomycota, Cell Proliferation
Abstract

With >7000 species the order of rust fungi has a disproportionately large impact on agriculture, horticulture, forestry and foreign ecosystems. The infectious spores are typically dikaryotic, a feature unique to fungi in which two haploid nuclei reside in the same cell. A key example is Phakopsora pachyrhizi, the causal agent of Asian soybean rust disease, one of the world's most economically damaging agricultural diseases. Despite P. pachyrhizi's impact, the exceptional size and complexity of its genome prevented generation of an accurate genome assembly. Here, we sequence three independent P. pachyrhizi genomes and uncover a genome up to 1.25 Gb comprising two haplotypes with a transposable element (TE) content of ~93%. We study the incursion and dominant impact of these TEs on the genome and show how they have a key impact on various processes such as host range adaptation, stress responses and genetic plasticity.

Published
2023

31. Survival Analysis on Structured Data using Deep Reinforcement Learning

Author

G, Renith, Warrier, Harikrishna, and Gupta, Yogesh

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Survival analysis is playing a major role in manufacturing sector by analyzing occurrence of any unwanted event based on the input data. Predictive maintenance, which is a part of survival analysis, helps to find any device failure based on the current incoming data from different sensor or any equipment. Deep learning techniques were used to automate the predictive maintenance problem to some extent, but they are not very helpful in predicting the device failure for the input data which the algorithm had not learned. Since neural network predicts the output based on previous learned input features, it cannot perform well when there is more variation in input features. Performance of the model is degraded with the occurrence of changes in input data and finally the algorithm fails in predicting the device failure. This problem can be solved by our proposed method where the algorithm can predict the device failure more precisely than the existing deep learning algorithms. The proposed solution involves implementation of Deep Reinforcement Learning algorithm called Double Deep Q Network (DDQN) for classifying the device failure based on the input features. The algorithm is capable of learning different variation of the input feature and is robust in predicting whether the device will fail or not based on the input data. The proposed DDQN model is trained with limited or lesser amount of input data. The trained model predicted larger amount of test data efficiently and performed well compared to other deep learning and machine learning models.

Published
2022

32. Network state Estimation using Raw Video Analysis: vQoS-GAN based non-intrusive Deep Learning Approach

Author

G, Renith, Warrier, Harikrishna, and Gupta, Yogesh

Subjects
Computer Science - Multimedia, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Content based providers transmits real time complex signal such as video data from one region to another. During this transmission process, the signals usually end up distorted or degraded where the actual information present in the video is lost. This normally happens in the streaming video services applications. Hence there is a need to know the level of degradation that happened in the receiver side. This video degradation can be estimated by network state parameters like data rate and packet loss values. Our proposed solution vQoS GAN (video Quality of Service Generative Adversarial Network) can estimate the network state parameters from the degraded received video data using a deep learning approach of semi supervised generative adversarial network algorithm. A robust and unique design of deep learning network model has been trained with the video data along with data rate and packet loss class labels and achieves over 95 percent of training accuracy. The proposed semi supervised generative adversarial network can additionally reconstruct the degraded video data to its original form for a better end user experience., Comment: 18 pages, 10 figures

Published
2022

34. The soybean rust pathogen Phakopsora pachyrhizi displays transposable element proliferation that correlates with broad host-range adaptation on legumes

Author

Gupta, Yogesh K, Marcelino-Guimarães, Francismar C, Lorrain, Cécile, Farmer, Andrew, Haridas, Sajeet, Ferreira, Everton Geraldo Capote, Lopes-Caitar, Valéria S, Oliveira, Liliane Santana, Morin, Emmanuelle, Widdison, Stephanie, Cameron, Connor, Inoue, Yoshihiro, Thor, Kathrin, Robinson, Kelly, Drula, Elodie, Henrissat, Bernard, LaButti, Kurt, Bini, Aline Mara Rudsit, Paget, Eric, Singan, Vasanth, Daum, Christopher, Dorme, Cécile, van Hoek, Milan, Janssen, Antoine, Chandat, Lucie, Tarriotte, Yannick, Richardson, Jake, do Vale Araújo Melo, Bernardo, Wittenberg, Alexander, Schneiders, Harrie, Peyrard, Stephane, Zanardo, Larissa Goulart, Holtman, Valéria Cristina, Coulombier-Chauvel, Flavie, Link, Tobias I, Balmer, Dirk, Müller, André N, Kind, Sabine, Bohnert, Stefan, Wirtz, Louisa, Chen, Cindy, Yan, Mi, Ng, Vivian, Gautier, Pierrick, Meyer, Maurício Conrado, Voegele, Ralf Thomas, Liu, Qingli, Grigoriev, Igor V, Conrath, Uwe, Brommonschenkel, Sérgio H, Loehrer, Marco, Schaffrath, Ulrich, Sirven, Catherine, Scalliet, Gabriel, Duplessis, Sébastien, and van Esse, H Peter

Subjects
Human Genome, Biotechnology, Genetics, Aetiology, 2.2 Factors relating to the physical environment
Abstract

ABSTRACT: Asian soybean rust, caused by Phakopsora pachyrhizi, is one of the world’s most economically damaging agricultural diseases. Despite P. pachyrhizi’s impact, the exceptional size and complexity of its genome prevented generation of an accurate genome assembly. We simultaneously sequenced three P. pachyrhizi genomes uncovering a genome up to 1.25 Gb comprising two haplotypes with a transposable element (TE) content of ~93%. The proliferation of TEs within the genome occurred in several bursts and correlates with the radiation and speciation of the legumes. We present data of clear de-repression of TEs that mirrors expression of virulence-related candidate effectors. We can see a unique expansion in amino acid metabolism for this fungus. Our data shows that TEs play a dominant role in P. pachyrhizi’s genome and have a key impact on various processes such as host range adaptation, stress responses and genetic plasticity of the genome.

Published
2022

35. Source Printer Identification using Printer Specific Pooling of Letter Descriptors

Author

Joshi, Sharad, Gupta, Yogesh Kumar, and Khanna, Nitin

Subjects
Electrical Engineering and Systems Science - Image and Video Processing
Abstract

The digital revolution has replaced the use of printed documents with their digital counterparts. However, many applications require the use of both due to several factors, including challenges of digital security, installation costs, ease of use, and lack of digital expertise. Technological developments in the digital domain have also resulted in the easy availability of high-quality scanners, printers, and image editing software at lower prices. Miscreants leverage such technology to develop forged documents that may go undetected in vast volumes of printed documents. These developments mandate the research on creating fast and accurate digital systems for source printer identification of printed documents. We extensively analyze and propose a printer-specific pooling that improves the performance of printer-specific local texture descriptor on two datasets. The proposed pooling performs well using a simple correlation-based prediction instead of a complex machine learning-based classifier achieving improved performance under cross-font scenarios. The proposed system achieves an average classification accuracy of 93.5%, 94.3%, and 60.3% on documents printed in Arial, Times New Roman, and Comic Sans font types respectively, when documents printed in only Cambria font are available for training., Comment: 34 pages, 5 figures, Journal

Published
2021

36. Targeting S6K/NFκB/SQSTM1/Polθ signaling to suppress radiation resistance in prostate cancer

Author

Clark, Alison, Villarreal, Michelle R., Huang, Shih-Bo, Jayamohan, Sridharan, Rivas, Paul, Hussain, Suleman S., Ybarra, Meagan, Osmulski, Pawel, Gaczynska, Maria E., Shim, Eun Yong, Smith, Tyler, Gupta, Yogesh K., Yang, Xiaoyu, Delma, Caroline R., Natarajan, Mohan, Lai, Zhao, Wang, Li-Ju, Michalek, Joel E., Higginson, Daniel S., Ikeno, Yuji, Ha, Chul Soo, Chen, Yidong, Ghosh, Rita, and Kumar, Addanki P.

Published
2024
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38. Analysis on Speech Emotion Recognizer

Author

Gupta, Yogesh, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Hassanien, Aboul Ella, editor, Castillo, Oscar, editor, Anand, Sameer, editor, and Jaiswal, Ajay, editor

Published
2023
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39. Biometric Inheritance Pattern Synthesis and Features’ Extraction

Author

Sharma, Vimlesh, Gupta, Yogesh Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Joshi, Amit, editor, Mahmud, Mufti, editor, and Ragel, Roshan G., editor

Published
2023
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40. Patch Embedding as Local Features: Unifying Deep Local and Global Features via Vision Transformer for Image Retrieval

Author

Phan, Lam, Nguyen, Hiep Thi Hong, Warrier, Harikrishna, Gupta, Yogesh, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wang, Lei, editor, Gall, Juergen, editor, Chin, Tat-Jun, editor, Sato, Imari, editor, and Chellappa, Rama, editor

Published
2023
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41. Wine Quality Prediction Based on Machine Learning Techniques

Author

Gupta, Yogesh, Saraswat, Amit, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Dwivedi, Sanjeet, editor, Singh, Sanjeev, editor, Tiwari, Manish, editor, and Shrivastava, Ashish, editor

Published
2023
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42. Image Transliteration from Vernacular Languages

Author

Gupta, Yogesh, Saraswat, Amit, Raghuwanshi, Ghanshyam, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Dwivedi, Sanjeet, editor, Singh, Sanjeev, editor, Tiwari, Manish, editor, and Shrivastava, Ashish, editor

Published
2023
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43. Prediction of Short-Term Solar Radiation Using Machine Learning Methods

Author

Singh, Praveen Kumar, Saraswat, Amit, Gupta, Yogesh, Goyal, Sunil Kumar, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Dwivedi, Sanjeet, editor, Singh, Sanjeev, editor, Tiwari, Manish, editor, and Shrivastava, Ashish, editor

Published
2023
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45. Underwater Image Restoration and Enhancement Based on Machine and Deep Learning Algorithms

Author

Gupta, Yogesh Kumar, Saxena, Khushboo, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Kumar, Ashwani, editor, Fister Jr., Iztok, editor, Gupta, P. K., editor, Debayle, Johan, editor, Zhang, Zuopeng Justin, editor, and Usman, Mohammed, editor

Published
2022
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46. Artificial Intelligence Based Techniques for Underwater Image Restoration and Enhancement

Author

Gupta, Yogesh Kumar, Saxena, Khushboo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rathore, Vijay Singh, editor, Sharma, Subhash Chander, editor, Tavares, Joao Manuel R.S., editor, Moreira, Catarina, editor, and Surendiran, B., editor

Published
2022
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47. Effective OT Cyber Security for Modern Grid Operations and Asset Management

Author

Ojha, Anil Kumar, Gupta, Yogesh, Mazumdar, Amit, Verma, Aakash, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Pillai, Reji Kumar, editor, Singh, B. P., editor, and Murugesan, N., editor

Published
2022
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50. Comparison of cycloplegia with atropine 1% versus cyclopentolate 1%

Author

Singh, Ram, Amitava, Abadan, Sharma, Nikita, Gupta, Yogesh, Raza, Syed, Bose, Aparna, and Meena, Ganga

Subjects
Health
Abstract

Byline: Ram. Singh, Abadan. Amitava, Nikita. Sharma, Yogesh. Gupta, Syed. Raza, Aparna. Bose, Ganga. Meena Purpose: Cycloplegic refraction is mandatory for children to know the eye's refractive status. In this [...]

Published
2023

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