[HTML][HTML] Modified Whale Optimization Algorithm based ANN: a novel predictive model for RO desalination plant

R Mahadeva, M Kumar, V Gupta, G Manik… - Scientific Reports, 2023 - nature.com
In recent decades, nature-inspired optimization methods have played a critical role in
helping industrial plant designers to find superior solutions for process parameters …

A novel AGPSO3-based ANN prediction approach: application to the RO desalination plant

R Mahadeva, M Kumar, A Goel, SP Patole… - Arabian Journal for …, 2023 - Springer
One of the critical issues faced by the desalination plants is an accurate analysis of their real-
time performance. Soft computing techniques are efficient in overcoming these issues and …

PID control design using AGPSO technique and its application in TITO reverse osmosis desalination plant

R Mahadeva, M Kumar, SP Patole, G Manik - IEEE Access, 2022 - ieeexplore.ieee.org
Desalination plants have an important concern regarding controlling the permeate flow rate
and pH during operability. This paper proposes the proportional integral derivative (PID) …

Desalination plant performance prediction model using grey wolf optimizer based ANN approach

R Mahadeva, M Kumar, SP Patole, G Manik - IEEE Access, 2022 - ieeexplore.ieee.org
The present era of advances in desalination plants revolves around the involvement of
artificial intelligence techniques in ameliorating their modeling and operational performance …

Recent prospects of medical imaging and sensing technologies based on electrical impedance data acquisition system

R Kumar, RK Ratnesh, J Singh… - Journal of The …, 2023 - iopscience.iop.org
This paper presents a cost-effective data acquisition & medical imaging system using
electrical impedance tomography (EIT). The presented method investigates & analyses the …

Deep transfer learning with multi-level features extraction approach for breast cancer classification

R Mahadeva, SP Patole, V Patel… - … on Innovations in …, 2023 - ieeexplore.ieee.org
Breast cancer is a deadliest disease worldwide among the women. By some means early
detection is very important to overcome it by prognosing on time. Deep networks having …

Detection And Classification of Lung Cancer CT Images Using Mask R-CNN Based Generated Mask Method

S Bhardwaj, EA Siddiqui, V Chaurasia… - … on Innovations in …, 2023 - ieeexplore.ieee.org
In the medical field, computer vision systems, and especially image diagnostics, provide a
wide range of useful tools. Computed tomography (CT) scans are the gold standard for …

IoT-Driven Experimental Framework for Advancing Electrical Impedance Tomography

R Kumar, RK Ratnesh, J Singh, A Kumar… - ECS Journal of Solid …, 2024 - iopscience.iop.org
This research paper focuses on the current emphasis on the latest industrial revolution,
particularly the innovative integration of artificial intelligence and the Internet of Things (IoT) …

Edge Detection and Color Mapping Based Diabetic Retinopathy From Fundus Images

R Mahadeva, M Rathore, V Chaurasia… - … on Innovations in …, 2023 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a serious disease which affects vision of diabetic patients. This
may cause partial and complete blindness. There are so many works have been carried in …

Automated Lung Cancer Detection using Prewitt Gradient Kernel & SVM from CT-Lung Images

M Tiwari, A Bhargava, V Chaurasia… - … on Innovations in …, 2023 - ieeexplore.ieee.org
It is well acknowledged that lung cancer is one of the leading causes of mortality globally.
The scientific community has worked diligently to develop methods for detecting lung cancer …