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Jul 22, 2024 | 
onlinelibrary.wiley.com | Chitkara Punjab India |Nitin Goyal |Sanjay Kumar Dhurandher |Mamta Nain
CONFLICT OF INTEREST STATEMENT The authors declare no conflict of interest. REFERENCES 1, , . Advancement of routing protocols and applications of underwater wireless sensor network (UWSN)—a survey. J Sens Actuator Netw. 2020; 9(2): 19. doi:10.3390/jsan9020019 2, , , , . A survey on MAC protocols for underwater wireless sensor networks. IEEE Commun Surv Tutor. 2014; 16(3): 1433-1447. doi:10.1109/SURV.2014.013014.00032 3, , . Underwater optical wireless communications: overview. Sensors.
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Jul 11, 2024 | 
thescxchange.com | Kai Hoberg |Nikhil Singh |Nitin Goyal |Franz Dinkelacker
The landscape of forecasting is undergoing a significant transformation, driven by the advent of much smarter forecasting engines that utilize artificial intelligence (AI) and machine learning and the accessibility of structured “demand driver” data (for example, promotions, weather, or events). These innovations are dramatically improving the forecasting accuracy of planning systems, enabling them to achieve, and frequently surpass, the accuracy levels of human planners.
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Jun 17, 2024 | 
pubs.rsc.org | Nitin Goyal |Yi-bo Hu
Tailoring Single-metal Atom Catalysts: A Strategic Defects Engineering Approach for Electrochemical Reduction Reactions
Single metal atom catalysts (SMAC) are gaining attention as a promising material in chemical transformation and energy conversion technologies due to their well-defined geometric structures and efficient atom utilization.
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May 2, 2024 | 
onlinelibrary.wiley.com | Nitin Goyal |Ashutosh Kumar Singh |Rakesh Kumar |Manni Kumar
CONFLICT OF INTEREST STATEMENT The authors declare no conflict of interest. REFERENCES 1, , , , , . Underwater wireless sensor networks: a review of recent issues and challenges. Wirel Commun Mob Comput. 2019;6470359. doi:10.1155/2019/6470359 2, , , , . Underwater sensor network applications: a comprehensive survey. Int J Distrib Sensor Netw. 2015; 11(11):896832. 3, , . Continuous monitoring of water quality using portable and low-cost approaches. Int J Distrib Sensor Netw. 2013; 9(6):249598.
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Feb 11, 2024 | 
onlinelibrary.wiley.com | Prabhjot Kaur |Anand Mishra |Nitin Goyal |Sachin Gupta
CONFLICT OF INTEREST STATEMENT The authors declare that they have no conflicts of interest to report regarding the present study. REFERENCES , , , & (2021). Tomato plant disease detection using transfer learning with C-GAN synthetic images. Computers and Electronics in Agriculture, 187, 106279. , , , , & (2020). Optimizing pre trained convolutional neural networks for tomato leaf disease detection. Complexity, 2020, 1–6. , , & (2023).
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Dec 25, 2023 | 
mdpi.com | Chetna Gupta |Vikas Khullar |Nitin Goyal |Kirti Saini
All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.
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Nov 10, 2023 | 
onlinelibrary.wiley.com | Meenakshi Aggarwal |Vikas Khullar |Nitin Goyal |Rashi Rastogi
CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. REFERENCES 1, , , . Brain tumor classification using ensemble classifiers. Proceedings of the International Conference on Electronics and Renewable Systems, ICEARS 2022. IEEE; 2022: 875-878. doi:10.1109/ICEARS53579.2022.9752177 2, . Brain tumors. Am J Med. 2018; 131(8): 874-882. doi:10.1016/j.amjmed.2017.12.039 3, . Federated learning for medical image analysis with deep neural networks. Diagnostics. 2023; 13(9): 1-18.
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Sep 26, 2023 | 
mdpi.com | Meenakshi Aggarwal |Vikas Khullar |Nitin Goyal |Rama Gautam
1. IntroductionThe agricultural sector plays a vital role in the economic advancement of any country. It provides fundamental raw materials, which act as the foundation for numerous industries. The production of agriculture is significantly impacted by rice, a crop that is grown all over the world. Over 50% of the global population, mainly in Asia, Africa, and America, relies primarily on rice as a food source.
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Sep 7, 2023 | 
frontiersin.org | Chunlei Xia |Nitin Goyal |Lingxian Zhang
1 IntroductionPlant protection is a crucial aspect of agriculture, and precise disease detection and early forecasting are pivotal for maximizing crop yields. Presently, the identification and prediction of crop diseases heavily depend on local plant protection agencies. Nevertheless, constrained resources and a scarcity of experts present obstacles to the widespread implementation of scientific prevention and control strategies across diverse regions.
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Aug 8, 2023 | 
mdpi.com | Meenakshi Aggarwal |Vikas Khullar |Nitin Goyal |Abdullah Saleh Alammari
3.5. Proposed Federated Learning Framework for Rice Leaf Disease Images ClassificationThe need for rice leaf disease images classification arises from the desire to safeguard rice crops, enhance agricultural productivity, and ensure food security. By leveraging technology to develop accurate and efficient detection methods, farmers can be empowered with the necessary tools to effectively manage and mitigate the impact of rice leaf diseases.
