Výsledky vyhledávání - "Neeraj Dahiya"

Akademický článek

Optimizing cloud service provider selection with firefly-guided fuzzy decision support system for smart cities

Autor: Surjeet Dalal, Ajay Kumar, Umesh Kumar Lilhore, Neeraj Dahiya, Vivek Jaglan, Uma Rani

Publikováno v: Measurement: Sensors, Vol 35, Iss , Pp 101294- (2024)

Businesses that want to benefit from cloud computing must choose a Cloud Service Provider (CSP). Cost, performance, Reliability, security, and SLAs must be evaluated during the decision process. CSP assessment is tough because of uncertainties and er

Externí odkaz: https://doaj.org/article/295a638d49884e6895a3bc33c645b819

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Akademický článek

Deep learning–based urban energy forecasting model for residential building energy efficiency

Autor: Uma Rani, Neeraj Dahiya, Shakti Kundu, Sonal Kanungo, Sakshi Kathuria, Shanu Kuttan Rakesh, Anil Sharma, Puneeta Singh

Publikováno v: Energy Exploration & Exploitation, Vol 42 (2024)

Sustainable and inventive city design is becoming more and more dependent on the use of cutting-edge technology as smart cities develop further. Energy efficiency optimization in residential structures is an essential part of the puzzle as it helps c

Externí odkaz: https://doaj.org/article/1cd6dcd4bae84fd194d0799b780ce246

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Akademický článek

An optimized neural network with AdaHessian for cryptojacking attack prediction for Securing Crypto Exchange Operations of MEC applications

Autor: Uma Rani, Sunil Kumar, Neeraj Dahiya, Kamna Solanki, Shanu Rakesh Kuttan, Sajid Shah, Momina Shaheen, Faizan Ahmad

Publikováno v: Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-19 (2024)

Abstract Bitcoin exchange security is crucial because of MEC's widespread use. Cryptojacking has compromised MEC app security and bitcoin exchange ecosystem functionality. This paper propose a cutting-edge neural network and AdaHessian optimization t

Externí odkaz: https://doaj.org/article/ac15dcf946204a2b902fe231f2acd6dd

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Akademický článek

Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection

Autor: Neeraj Dahiya, Yogesh Kumar Sharma, Uma Rani, Shekjavid Hussain, Khan Vajid Nabilal, Anand Mohan, Nasratullah Nuristani

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)

Abstract Human monkeypox is a very unusual virus that can devastate society. Early identification and diagnosis are essential to treat and manage an illness effectively. Human monkeypox disease detection using deep learning models has attracted incre

Externí odkaz: https://doaj.org/article/d7cd5caea1544d9d8a4637fabad35866

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Akademický článek

Artificial Intelligence-Based Ensemble Learning Model for Prediction of Hepatitis C Disease

Autor: Michael Onyema Edeh, Surjeet Dalal, Imed Ben Dhaou, Charles Chuka Agubosim, Chukwudum Collins Umoke, Nneka Ernestina Richard-Nnabu, Neeraj Dahiya

Publikováno v: Frontiers in Public Health, Vol 10 (2022)

Machine learning algorithms are excellent techniques to develop prediction models to enhance response and efficiency in the health sector. It is the greatest approach to avoid the spread of hepatitis C, especially injecting drugs, is to avoid these b

Externí odkaz: https://doaj.org/article/777808ec15d04da9bf3d20263a0632b8

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A comparison of slope stability assessment techniques using different rock mass classification systems and finite element method (FEM): A case study from the Garhwal Himalayas, India

Autor: Neeraj Dahiya, Koushik Pandit, Shantanu Sarkar

Publikováno v: Journal of Earth System Science. 131

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65d9654c0615d863b0cbc3f8da55ebd3
https://doi.org/10.1007/s12040-022-01988-w

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Quantified landslide hazard assessment based on finite element slope stability analysis for Uttarkashi–Gangnani Highway in Indian Himalayas

Autor: Prachi Chandna, Koushik Pandit, S. Sarkar, Neeraj Dahiya

Publikováno v: Natural Hazards. 106:1895-1914

In the Indian Himalayan region, landslide is one of the most recurring natural disasters intimidating human lives and is detrimental to infra-structures, especially for roads or highways. Landslides occurring along the major highways need to be studi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7e394697671a4026945c26a54004bba2
https://doi.org/10.1007/s11069-021-04518-x

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