An Optimized Bio-inspired Localization Routing Technique for Sustainable IIoT Networks & Green Cities

P Chithaluru, F Al-Turjman, T Stephan, M Kumar… - Sustainable Cities and …, 2023 - Elsevier
Abstract The industrial Internet of Things (IIoTs) network life is shortened due to sensor node
(SN) energy limitations and computational capability. As a result, optimum node location …

An opportunistic energy‐efficient dynamic self‐configuration clustering algorithm in WSN‐based IoT networks

S Tumula, Y Ramadevi, E Padmalatha… - International Journal …, 2024 - Wiley Online Library
The demand for the Internet of Things (IoT) has significantly increased in the current
scenario; specific sectors that require IoT include industrial automation, home control, health …

Hybrid Metaheuristics with Deep Learning based Fusion Model for Biomedical Image Analysis

M Obayya, MK Saeed, N Alruwais, SS Alotaibi… - IEEE …, 2023 - ieeexplore.ieee.org
Biomedical image analysis has played a pivotal role in modern healthcare by facilitating
automated analysis and interpretation of medical images. Biomedical image classification is …

A cooperation federated forwarder selection technique for maximizing network lifetime in wireless sensor network

R Tiwari, P Chithaluru, K Kumar, M Kumar, T Stephan - Sādhanā, 2023 - Springer
Abstract Wireless Sensor Network (WSN) fulfills the requirements to solve real-life
applications due to their unattended nature. But, the main constraint faced by researchers is …

[HTML][HTML] An intelligent FL-based vehicle route optimization protocol for green and sustainable IoT connected IoV

P Narsimhulu, P Chithaluru, F Al-Turjman, V Guda… - Internet of Things, 2024 - Elsevier
Abstract The intelligent Internet of Vehicles (IoV) provides superior results in effectively
addressing complex transportation challenges. Predicting vehicle traffic, crashes, demand …

Automated biomedical image classification using multi-scale dense dilated semi-supervised u-net with cnn architecture

B PR, A BK - Multimedia Tools and Applications, 2024 - Springer
Biomedical research heavily relies on automated image classification to enhance
understanding of protein structure and function. This study proposes a novel approach for …

A Systematic Investigation of Image Pre-processing on Image Classification

P Dehbozorgi, O Ryabchykov, T Bocklitz - IEEE Access, 2024 - ieeexplore.ieee.org
AI-powered image analysis is a transformative technology with immense potential to
enhance diagnostics and patient care. Accurate medical image assessment plays a crucial …

An optimized meta‐heuristic clustering‐based routing scheme for secured wireless sensor networks

G Kiran Kumar, SK Prashanth… - International Journal …, 2024 - Wiley Online Library
Privacy and security present significant challenges in wireless sensor networks (WSNs). In
order to enhance security, the sensor network is equipped with high throughput. While the …

Real-time Detection of Taikyoku Shodan Karate Kata Poses Using Classical Machine Learning and Deep Learning Models

M Walid, M Ameen, A Atia - 2023 International Mobile …, 2023 - ieeexplore.ieee.org
The research discusses the necessity for a precise feedback karate training system utilizing
machine learning (ML) and deep learning (DL) models to facilitate real-time pose detection …

Weed and Crop Detection in Rice Field Using R-CNN and Its Hybrid Models

N Shekhawat, S Verma, M Agarwal, M Jailia - International Conference on …, 2023 - Springer
Mostly, Weeds are the responsible for agricultural losses in recent years. Removing weeds
is a challenging task as there are much similarity between weed and crop in terms of texture …