A decade review on smart cities: paradigms, challenges and opportunities

T Singh, A Solanki, SK Sharma, A Nayyar… - IEEE Access, 2022 - ieeexplore.ieee.org
Smart City has been an emerging research domain for Government, Businesses, and
researchers in the last few years. The Indian government is also interested and investing lots …

[HTML][HTML] Overview of smart aquaculture system: Focusing on applications of machine learning and computer vision

TTE Vo, H Ko, JH Huh, Y Kim - Electronics, 2021 - mdpi.com
Smart aquaculture is nowadays one of the sustainable development trends for the
aquaculture industry in intelligence and automation. Modern intelligent technologies have …

DL-CNN-based approach with image processing techniques for diagnosis of retinal diseases

A Tayal, J Gupta, A Solanki, K Bisht, A Nayyar… - Multimedia …, 2022 - Springer
Artificial intelligence has the potential to revolutionize disease diagnosis, classification, and
identification. However, the implementation of clinical-decision support algorithms for …

A review of movie recommendation system: Limitations, Survey and Challenges

M Goyani, N Chaurasiya - ELCVIA: electronic letters on computer vision …, 2020 - ddd.uab.cat
Recommendation System is a major area which is very popular and useful for people to take
proper decision. It is a method that helps user to find out the information which is beneficial …

An abstractive text summarization technique using transformer model with self-attention mechanism

S Kumar, A Solanki - Neural Computing and Applications, 2023 - Springer
Creating a summarized version of a text document that still conveys precise meaning is an
incredibly complex endeavor in natural language processing (NLP). Abstract text …

[HTML][HTML] Multi-lingual opinion mining for social media discourses: An approach using deep learning based hybrid fine-tuned smith algorithm with adam optimizer

AK Shahade, KH Walse, VM Thakare… - International Journal of …, 2023 - Elsevier
Multi-lingual opinion mining has become an important research area in natural language
processing, particularly in the context of social media, as it provides valuable insights from …

A machine learning method for prediction of stock market using real-time twitter data

S Albahli, A Irtaza, T Nazir, A Mehmood, A Alkhalifah… - Electronics, 2022 - mdpi.com
Finances represent one of the key requirements to perform any useful activity for humanity.
Financial markets, eg, stock markets, forex, and mercantile exchanges, etc., provide the …

Grey Wolf Optimization Based CNN-LSTM Network for the Prediction of Energy Consumption in Smart Home Environment

T Singh, A Solanki, SK Sharma, NZ Jhanjhi… - IEEE …, 2023 - ieeexplore.ieee.org
In smart homes, the management of energy is gaining huge significance among researchers
in recent times. This paper presents a system for predicting power utilization and scheduling …

Role of smart buildings in smart city—components, technology, indicators, challenges, future research opportunities

T Singh, A Solanki, SK Sharma - Digital cities roadmap: IoT …, 2021 - Wiley Online Library
The connected future of smart cities starts with smart buildings. Nowadays,“Smart City”
initiatives are growing around the globe. In order to have smart cities, it's important to …

[HTML][HTML] Connecting the indispensable roles of iot and artificial intelligence in smart cities: a survey

H Nguyen, D Nawara, R Kashef - Journal of Information and Intelligence, 2024 - Elsevier
The pace of society development is faster than ever before, and the smart city paradigm has
also emerged, which aims to enable citizens to live in more sustainable cities that guarantee …