Hydrogen fuel as an important element of the energy storage needs for future smart cities
A considerable amount of non-dispatchable photovoltaic and wind power have always been
planned in smart cities, however, the problem of massive energy storage has not yet been …
planned in smart cities, however, the problem of massive energy storage has not yet been …
IoT based smart and intelligent smart city energy optimization
Z Chen, CB Sivaparthipan, BA Muthu - Sustainable Energy Technologies …, 2022 - Elsevier
With the effective result of IoT architecture in all research areas, we propose IoT framework
based energy efficient smart and intelligent street road lighting system that consist of IoT …
based energy efficient smart and intelligent street road lighting system that consist of IoT …
Applications of machine learning in knowledge management system: a comprehensive review
As new generations of technology appear, legacy knowledge management solutions and
applications become increasingly out of date, necessitating a paradigm shift. Machine …
applications become increasingly out of date, necessitating a paradigm shift. Machine …
Fake reviews classification using deep learning ensemble of shallow convolutions
Online reviews have a decisive impact on consumers' purchasing decisions. This opens the
doors for spammers and scammers to post fake reviews for promoting non-existent products …
doors for spammers and scammers to post fake reviews for promoting non-existent products …
Emotion detection in roman urdu text using machine learning
Emotion detection is playing a very important role in our life. People express their emotions
in different ways ie face expression, gestures, speech, and text. This research focuses on …
in different ways ie face expression, gestures, speech, and text. This research focuses on …
Energy and latency reductions at the fog gateway using a machine learning classifier
NK Suryadevara - Sustainable Computing: Informatics and Systems, 2021 - Elsevier
Abstract Machine Learning (ML) techniques have changed the analysis of massive data in
the Internet of Things (IoT) environment very effectively. In the IoT theme of applications …
the Internet of Things (IoT) environment very effectively. In the IoT theme of applications …
RETRACTED ARTICLE: Transparency in healthcare and e-commerce: detecting online fake reviews using a dense neural network model with relevance mapping
N Deshai, BB Rao - Soft Computing, 2023 - search.proquest.com
In today's generation, many healthcare organizations moving towards patient-centred quality
assessment, transparency strategies, and practices. Therefore, online reviews are the part of …
assessment, transparency strategies, and practices. Therefore, online reviews are the part of …
Lightweight sustainable intelligent load forecasting platform for smart grid applications
With the global electricity demand witnessing a 3.1 percent jump in 2017, there is an
increasing need for incorporating intermittent renewable energy sources and other …
increasing need for incorporating intermittent renewable energy sources and other …
Rubert: A bilingual roman urdu bert using cross lingual transfer learning
In recent studies, it has been shown that Multilingual language models underperform their
monolingual counterparts. It is also a well-known fact that training and maintaining …
monolingual counterparts. It is also a well-known fact that training and maintaining …
Melta: A method level energy estimation technique for android development
Development of energy-aware applications requires the understanding of energy
consumption at the fine-grained level of methods and functions. Several hardware and …
consumption at the fine-grained level of methods and functions. Several hardware and …