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A modified generative adversarial networks with Yolov5 for automated forest health diagnosis from aerial imagery and Tabu search algorithm

Our environment has been significantly impacted by climate change. According to previous research, insect catastrophes induced by global climate change killed many trees, inevitably contributing to forest fires. The condition of the forest is an essential indicator of forest fires. Analysis of aerial images of a forest can detect deceased and living trees at an early stage...

Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network

Sandeep Kumar Mathivanan 3 7 P. Karthikeyan 4 7 Mohd Asif Shah 5 6 7 8 0 Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology , Avadi

A hybrid deep CNN model for brain tumor image multi-classification

The current approach to diagnosing and classifying brain tumors relies on the histological evaluation of biopsy samples, which is invasive, time-consuming, and susceptible to manual errors. These limitations underscore the pressing need for a fully automated, deep-learning-based multi-classification system for brain malignancies. This article aims to leverage a deep convolutional...

Detection and classification of adult epilepsy using hybrid deep learning approach

The electroencephalogram (EEG) has emerged over the past few decades as one of the key tools used by clinicians to detect seizures and other neurological abnormalities of the human brain. The proper diagnosis of epilepsy is crucial due to its distinctive nature and the subsequent negative effects of epileptic seizures on patients. The classification of minimally pre-processed...

Detection and classification of brain tumor using hybrid deep learning models

Accurately classifying brain tumor types is critical for timely diagnosis and potentially saving lives. Magnetic Resonance Imaging (MRI) is a widely used non-invasive method for obtaining high-contrast grayscale brain images, primarily for tumor diagnosis. The application of Convolutional Neural Networks (CNNs) in deep learning has revolutionized diagnostic systems, leading to...

Quad-port multiservice integrated optically transparent automotive antenna for vehicular classification applications

The demand for vehicular antennas increases in tandem with the need for multiple features in automobiles. The development of optically transparent antenna (OTA) has made it possible to deploy antennas on delicate surfaces such as glass. Earlier studies on OTA demonstrated its viability using materials such as transparent conducting oxides (TCO) and conductive polymers. A tri-band...

Understanding surgical smoke in laparoscopy through Lagrangian Coherent Structures

. Author Contributions Conceptualization: Sandeep Kumar, Miguel D. Bustamante, Ronan A. Cahill, Kevin Nolan. 11 / 13 Data curation: Sandeep Kumar, Caroline Crowley. Formal analysis: Sandeep Kumar ... , Caroline Crowley. Funding acquisition: Ronan A. Cahill, Kevin Nolan. Investigation: Sandeep Kumar, Caroline Crowley, Mohammad Faraz Khan, Miguel D. Bustamante, Kevin Nolan. Methodology: Sandeep Kumar

Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach

Intense sun exposure is a major risk factor for the development of melanoma, an abnormal proliferation of skin cells. Yet, this more prevalent type of skin cancer can also develop in less-exposed areas, such as those that are shaded. Melanoma is the sixth most common type of skin cancer. In recent years, computer-based methods for imaging and analyzing biological systems have...

Multifunctional twelve port frequency agile diversity antenna for indoor wireless applications

The recent resurgence of new-generation reconfigurable technologies delivers a plethora of various applications in all public, private and enterprise solutions over the globe. In this paper, a frequency reconfigurable polarization and pattern diverse Multiple-Input-Multiple-Output (MIMO) antenna is presented for indoor scenarios. The MIMO antenna is comprised of twelve radiating...

Abdominal fat depots and their association with insulin resistance in patients with type 2 diabetes

, P < 10−7), but not with SAT fat and IPAT-SV. However, in MetS subjects IPAT-SV Funding: Dr sandeep kumar mathur SKM) received grant from MMRS (Metabolic and molecular research society Jaipur), ICMR ... mass, but it did not show significant correlation with HOMA- IR. Supporting information S1 File. (XLSX) Author Contributions Conceptualization: Umesh Kumar Garg, Balram Sharma, Sandeep Kumar Mathur

Loss of CDH16 expression is a strong independent predictor for lymph node metastasis in Middle Eastern papillary thyroid cancer

Papillary Thyroid Cancer (PTC) is the most common type of thyroid cancer. The membrane-associated glycoprotein cadherin-16 (CDH16) plays a significant role in the embryonal development of thyroid follicles and cell adhesion. Previous studies have indicated a substantial downregulation of CDH16 in PTC. However, its role in Middle Eastern PTC has not been elucidated. We analyzed a...

An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database

Heart disease is a significant global cause of mortality, and predicting it through clinical data analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for diagnosing and predicting heart disease by analyzing healthcare data. Previous studies have extensively employed ML techniques in medical research for heart disease prediction. In this study, eight ML...

Federated learning based futuristic biomedical big-data analysis and standardization

: Sandeep Kumar Mathivanan, Sukumar Rajendran. Formal analysis: Afifa Salsabil Fathima, Sandeep Kumar Mathivanan. Funding acquisition: Zhongming Zhao. Methodology: Afifa Salsabil Fathima, Syed Muzamil Basha ... , Syed Thouheed Ahmed. Supervision: Saurav Mallik, Zhongming Zhao. Visualization: Syed Muzamil Basha, Sandeep Kumar Mathivanan. Writing – original draft: Afifa Salsabil Fathima, Saurav Mallik. Writing

TVFx – CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique

, Princess Nourah Bint Abdulrahman University , P.O. Box 84428, Riyadh 11671 , Saudi Arabia 7 Sandeep Kumar Mathivanan Saurav Mallik Najah Alsubaie 8 Radiological Sciences Department, College of Applied ... Kumar Mathivanan 3 7 Saurav Mallik 4 5 7 Najah Alsubaie 6 7 Mohammed S. Alqahtani 7 8 9 0 Department of Electrical Engineering, Indian Institute of Technology , Hyderabad., Hyderabad , India 1 School

Multimodal hybrid convolutional neural network based brain tumor grade classification

An abnormal growth or fatty mass of cells in the brain is called a tumor. They can be either healthy (normal) or become cancerous, depending on the structure of their cells. This can result in increased pressure within the cranium, potentially causing damage to the brain or even death. As a result, diagnostic procedures such as computed tomography, magnetic resonance imaging, and...

Medical supply chain integrated with blockchain and IoT to track the logistics of medical products

Nowadays blockchain technology plays a vital role in creative developments and important discoveries in the world. Blockchain develops secure and trustworthy platforms for data sharing in various application areas such as secure sharing of medical data, Anti-money laundering, tracking systems, Supply chain, and logistics monitoring, Crypto-currency exchange, etc. Today’s Supply...

Signatures of a surface spin–orbital chiral metal

The relation between crystal symmetries, electron correlations and electronic structure steers the formation of a large array of unconventional phases of matter, including magneto-electric loop currents and chiral magnetism1,2,3,4,5,6. The detection of such hidden orders is an important goal in condensed-matter physics. However, until now, non-standard forms of magnetism with...

A Comparative Analysis of Multidimensional COVID-19 Poverty Determinants: An Observational Machine Learning Approach

article is solely governed by the terms of such publishing agreement and applicable law. Authors and Affiliations Sandeep Kumar Satapathy1  · Shreyaa Saravanan1 · Shruti Mishra1  · Sachi Nandan Mohanty2

Review: Single attribute and multi attribute facial gender and age estimation

Facial age and gender recognition have vital applications as consumer profile prediction, social media advertisement, human-computer interaction, image retrieval system, demographic profiling, customized advertisement systems, security and surveillance. This paper presents a study on Single Attribute (Attribute: either Gender or Age) and Multi-Attribute (both Gender and Age...

A Father's Son

Literary Magazine: Vol. 68: Iss. 1 - A Father’s Son Sandeep Kumar Mishra The mourners were not plentiful the day of the funeral. Charvik Sharma had not been a popular man in this life, having dedicated