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599 results on '"Singh, Gurjeet"'

10. Algorithm for Observation and Routing of Drones Based on Multi-detection and Mobilize

Author

Patel, Pramod Kumar, Singh, Gurjeet, Agrawal, Neeraj, Usmani, Dilshad, Nema, Rajesh Kumar, Bhadhouriya, Prachi, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, Tan, Kay Chen, Series Editor, Shrivastava, Vivek, editor, Bansal, Jagdish Chand, editor, and Panigrahi, B. K., editor

Published
2025
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12. Key challenges in prehospital and emergency care in Indonesia and Malaysia: a survey of frontline clinicians

Author

Akio Tokita, Hanako Nunokawa, Keibun Liu, Yuta Iwamoto, Tomohiro Sonoo, Konan Hara, Mikio Nakajima, Kiyomitsu Fukaguchi, Takanori Takeda, Amirudin Sanip, Dafsah A. Juzar, a/l Harvendhar Singh Gurjeet Singh, Lukito Condro, Monalisa Tobing, Muhammad Abdus-Syakur bin Abu Hasan, Nik Hisamuddin Nik Abdul Rahman, Orizanov Mahisa, Ramdinal Aviesena Zairinal, Mohd Khairulizwan bin Ramli, Mohd Afiq Mohd Nor, Tadahiro Goto, and Mohd Idzwan bin Zakaria

Subjects
Ambulance, Emergency room, Indonesia, Malaysia, quality improvement, Medicine, Biology (General), QH301-705.5, Science (General), Q1-390
Abstract

Abstract Rapid economic growth in Indonesia and Malaysia has widened the gap in emergency care supply and demand, intensifying challenges. Our study, from August to November 2022, assesses current diverse challenges in both countries' emergency care systems from frontline staff perspectives. The online survey involved emergency department (ED) personnel from 11 hospitals in Indonesia and Malaysia, drawing from an existing network. The survey collected data on respondents’ characteristics, factors affecting prehospital and ED care quality, missing clinical information, and factors influencing patients’ ED stay duration. With 83 respondents from Indonesia and 109 from Malaysia, the study identified common challenges. In both countries, inadequate clinical information from ambulances posed a primary challenge in prehospital care quality, while crowdedness during night shifts affected ED care quality. Frequent gaps in essential clinical information, such as family and medication history, were observed. Prolonged ED stays were associated with diagnostic studies and their turnaround time. This study offers insights into shared challenges in Indonesia and Malaysia's emergency care systems. Our findings stress recognizing common and country-specific challenges for enhanced emergency care quality in Southeast Asia, supporting tailored interventions.

Published
2024
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13. PyBADS: Fast and robust black-box optimization in Python

Author

Singh, Gurjeet Sangra and Acerbi, Luigi

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

PyBADS is a Python implementation of the Bayesian Adaptive Direct Search (BADS) algorithm for fast and robust black-box optimization (Acerbi and Ma 2017). BADS is an optimization algorithm designed to efficiently solve difficult optimization problems where the objective function is rough (non-convex, non-smooth), mildly expensive (e.g., the function evaluation requires more than 0.1 seconds), possibly noisy, and gradient information is unavailable. With BADS, these issues are well addressed, making it an excellent choice for fitting computational models using methods such as maximum-likelihood estimation. The algorithm scales efficiently to black-box functions with up to $D \approx 20$ continuous input parameters and supports bounds or no constraints. PyBADS comes along with an easy-to-use Pythonic interface for running the algorithm and inspecting its results. PyBADS only requires the user to provide a Python function for evaluating the target function, and optionally other constraints. Extensive benchmarks on both artificial test problems and large real model-fitting problems models drawn from cognitive, behavioral and computational neuroscience, show that BADS performs on par with or better than many other common and state-of-the-art optimizers (Acerbi and Ma 2017), making it a general model-fitting tool which provides fast and robust solutions., Comment: 7 pages, 1 figure. Documentation is available at https://acerbilab.github.io/pybads/ and source code is available at https://github.com/acerbilab/pybads

Published
2023

18. Multi-Response Optimization of Compression Molding Process to Increase Flexural Strength and Reduce Electrical Conductivity of GF/PP

Author

Singh, Mritunjay Kumar, Singh, Gurjeet, Agarwal, Neeraj, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, 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, Tan, Kay Chen, Series Editor, Venkata Rao, Ravipudi, editor, and Taler, Jan, editor

Published
2024
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19. ANN Modeling and Optimization of Process Parameters for Material Removal Rate in Electrical Discharge Machining of OHNS Steel

Author

Agarwal, Neeraj, Singh, Gurjeet, Patel, Pramod Kumar, Mishra, Rahul, Singh, Mritunjay Kumar, Yadav, Anil Singh, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, 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, Tan, Kay Chen, Series Editor, Venkata Rao, Ravipudi, editor, and Taler, Jan, editor

Published
2024
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20. Optimization of High-Performance GNRFET Technology-Based 6T-SRAM Cell Using Jaya Algorithms

Author

Patel, Pramod Kumar, Agrawal, Neeraj, Singh, Gurjeet, Raghuwansi, Ashish, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, 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, Tan, Kay Chen, Series Editor, Venkata Rao, Ravipudi, editor, and Taler, Jan, editor

Published
2024
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26. A Case Study on Nutek India Limited, Regarding Deep Fall in Share Price

Author

Singh, Gurjeet and Nagar, Pankaj

Subjects
Quantitative Finance - General Finance
Abstract

Manipulating the security price is an act of artificially inflating or deflating the price of a security. Generally, manipulation is defined as a series of transactions designed to raise or lower a price of a security or to give the appearance of trading for the purpose of inducing others to buy or sell. In essence, a manipulation is intentional interference with the free forces of supply and demand. In this paper we have tried to study the reasons behind drastic fall in share price of Nutek India Limited.

Published
2022

27. Machine Learning Models in Stock Market Prediction

Author

Singh, Gurjeet

Subjects
Quantitative Finance - Statistical Finance, Computer Science - Machine Learning
Abstract

The paper focuses on predicting the Nifty 50 Index by using 8 Supervised Machine Learning Models. The techniques used for empirical study are Adaptive Boost (AdaBoost), k-Nearest Neighbors (kNN), Linear Regression (LR), Artificial Neural Network (ANN), Random Forest (RF), Stochastic Gradient Descent (SGD), Support Vector Machine (SVM) and Decision Trees (DT). Experiments are based on historical data of Nifty 50 Index of Indian Stock Market from 22nd April, 1996 to 16th April, 2021, which is time series data of around 25 years. During the period there were 6220 trading days excluding all the non trading days. The entire trading dataset was divided into 4 subsets of different size-25% of entire data, 50% of entire data, 75% of entire data and entire data. Each subset was further divided into 2 parts-training data and testing data. After applying 3 tests- Test on Training Data, Test on Testing Data and Cross Validation Test on each subset, the prediction performance of the used models were compared and after comparison, very interesting results were found. The evaluation results indicate that Adaptive Boost, k- Nearest Neighbors, Random Forest and Decision Trees under performed with increase in the size of data set. Linear Regression and Artificial Neural Network shown almost similar prediction results among all the models but Artificial Neural Network took more time in training and validating the model. Thereafter Support Vector Machine performed better among rest of the models but with increase in the size of data set, Stochastic Gradient Descent performed better than Support Vector Machine.

Published
2022
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33. An Optimal Sampling Design to Capture the Watershed-Scale Soil Moisture Dynamic in a Tropical Agricultural Watershed of Eastern India

Author

Singh, Gurjeet, Panda, Rabindra Kumar, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Dutta, Subashisa, editor, and Chembolu, Vinay, editor

Published
2023
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34. Optimization of Injection Moulding Process Parameters Using Hybridization Approach

Author

Alam, Md. Mofid, Pachorkar, Padmakar, Singh, Gurjeet, Agarwal, Neeraj, Yadav, Rakesh, Prasad, Jagdish, Srivastava, Ashish, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Nayak, Ramesh Kumar, editor, Pradhan, Mohan Kumar, editor, Mandal, Animesh, editor, and Davim, J. Paulo, editor

Published
2023
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35. Parameter Optimization for Titanium Superalloy for Electrical Discharge Machining Using Advanced Optimization Techniques

Author

Agarwal, Neeraj, Singh, Gurjeet, Ahmed, Irshad, Agarwal, Abhishek, Yadav, Rakesh, Yadav, Anil Singh, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Nayak, Ramesh Kumar, editor, Pradhan, Mohan Kumar, editor, Mandal, Animesh, editor, and Davim, J. Paulo, editor

Published
2023
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