Applications, Modern Trends, and Challenges of Multiscale Modeling in Smart Cities

D Mondal, A Ratnaparkhi, A Deshpande… - … of Research on Data …, 2023 - igi-global.com
Megacities are intricate systems that struggle with difficulties including overcrowding, subpar
urban design and planning, inadequate mobility and public transportation, subpar …

FuzzyNet-Based Modelling Smart Traffic System in Smart Cities Using Deep Learning Models

PK Mall, V Narayan, S Pramanik… - … of Research on Data …, 2023 - igi-global.com
The current lockouts, climatic variations, population expansion, and constraints on
convenience and natural resource access are some of the factors that are making the need …

An adaptive image steganography approach depending on integer wavelet transform and genetic algorithm

S Pramanik - Multimedia Tools and Applications, 2023 - Springer
Steganography is the art and a science of obscuring the presence of communication by
hiding content in electronic media and so obscuring the presence of communication from the …

An effective secured privacy-protecting data aggregation method in IoT

S Pramanik - Achieving Full Realization and Mitigating the …, 2022 - igi-global.com
Because privacy concerns in IoT devices are the most sensitive of all the difficulties, such an
extreme growth in IoT usage has an impact on the privacy and life spans of IoT devices …

A real-time smart sewage cleaning UAV assistance system using IoT

P Iyyanar, R Anand, T Shanthi, VK Nassa… - … of Research on Data …, 2023 - igi-global.com
There is a boom in autonomous systems with rapid technological development that cannot
adapt without human interaction to actual life conditions. Such programs will free people …

[PDF][PDF] Wearable sensors for evaluation over smart home using sequential minimization optimization-based random forest

N Gupta, S Janani, R Dilip, R Hosur… - International Journal of …, 2022 - pmu.edu
In our everyday life records, human activity identification utilizing MotionNode sensors is
becoming more and more prominent. A difficult issue in ubiquitous computing and HCI is …

Capsule network-based disease classification for Vitis Vinifera leaves

AD Andrushia, TM Neebha, AT Patricia… - Neural Computing and …, 2024 - Springer
The primary source of food is extracted from the plant. Take care of and maintain the plants
in real-time to enhance human survival. Diseases in plants can directly lead to a reduction in …

Machine Learning Frameworks in Carpooling

V Veeraiah, V Talukdar, K Manikandan… - … of Research on AI and …, 2023 - igi-global.com
Due to the development in human population and their requirements, the vehicular
population on the globe is increasing day by day in the medium of public transportation. As a …

Identifying disease and diagnosis in females using machine learning

S Pramanik, SK Bandyopadhyay - Encyclopedia of Data Science …, 2023 - igi-global.com
Here, the researchers are trying to prepare a model for identifying whether a patient is
diabetic or not. The Pima Indian Dataset has been used in this case study. There are two …

Genetic algorithm and machine learning

RR Chandan, S Soni, A Raj, V Veeraiah… - … , Policies, and Reform, 2023 - igi-global.com
Genetic algorithm is based on the natural search process, which mimics natural growth and
employs approaches inspired by natural evolution to solve optimization problems …