Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis

G Li, L Chen, J Liu, X Fang - Energy, 2023 - Elsevier
Timely and accurate fault diagnosis (FD) in building energy systems (BESs) can promote
energy efficiency and sustainable development. Especially the heating, ventilating, and air …

Energy consumption prediction in electrical appliances of commercial buildings using LSTM-GRU model

SK Mohapatra, S Mishra… - … on Advancements in …, 2022 - ieeexplore.ieee.org
As with economic growth and urbanization, there is a significant impact on energy
consumption in residential and commercial buildings. Analyzing the energy consumption of …

Fault diagnosis for cross-building energy systems based on transfer learning and model interpretation

L Chen, G Li, J Liu, L Liu, C Zhang, J Gao, C Xu… - Journal of Building …, 2024 - Elsevier
Timely and accurate fault diagnosis in building energy systems is crucial for improving the
energy efficiency of equipment and realizing energy savings. With the widespread use of …

Designing a smart and intelligent ecosystem for autistic children

M Sen, K Sharma, S Mishra… - 2023 4th international …, 2023 - ieeexplore.ieee.org
In this paper, we discuss the usage of smart and machine learning based model to aid
children with autism. Children with autism require constant care because you never know …

Assessing the current landscape of AI and sustainability literature: Identifying key trends, addressing gaps and challenges

S Tripathi, N Bachmann, M Brunner, Z Rizk… - Journal of Big Data, 2024 - Springer
Abstract The United Nations' 17 Sustainable Development Goals stress the importance of
global and local efforts to address inequalities and implement sustainability. Addressing …

Sustainable development and supply chain management in renewable-based community based self-sufficient utility: An analytical review of social and environmental …

X Bo, B Yi - Sustainable Energy Technologies and Assessments, 2024 - Elsevier
Abstract Smart Island Energy Management (SIEM) heralds a new era in sustainable island
energy utilization, orchestrating an innovative system that optimizes efficiency and …

Parkinson risks determination using SVM coupled stacking

S Dutta, S Choudhury, A Chakraborty, S Mishra… - International Conference …, 2023 - Springer
Biomarkers obtained from a person's voice may provide interpretations into brain-related
risks like Parkinson's disease due to their cognitive aspects. This audit portrays as of late …

A normalized ANN model for earthquake estimation

D Mehta, PP Das, S Ghosh, S Mishra… - … on applied artificial …, 2023 - ieeexplore.ieee.org
Earthquake is one of the most devastating natural catastrophes, mainly because there is
rarely any advance notice and hence little opportunity to react. This makes the issue of …

ECG-based cardiac abnormalities analysis using adaptive artificial neural network

P Patra, V Ved, S Chakraborty, S Mishra… - … on innovative computing …, 2023 - Springer
Electrocardiogram (ECG) is generally used to detect cardiac risks due to its lucidity and non-
invasiveness. During the past decades, several studies have helped to create an automatic …

Crop yield forecasting with precise machine learning

S Verma, S Sinha, P Chaudhury, S Mishra… - International Conference …, 2023 - Springer
In India, the impact of global weather variation has severely impacted the majority of
agricultural products. Farmer decision-making will be aided by this research, which will …