A5101527009- COVID-19 diagnosis using AI
- Parasite Biology and Host Interactions
- Artificial Intelligence in Healthcare
- Forest ecology and management
- Fish Biology and Ecology Studies
- Aquaculture Nutrition and Growth
- Polyomavirus and related diseases
- AI in cancer detection
- IoT-based Smart Home Systems
- COVID-19 epidemiological studies
- Blockchain Technology Applications and Security
- Aquaculture disease management and microbiota
- Aquatic life and conservation
- IoT and Edge/Fog Computing
- Brain Tumor Detection and Classification
- Hepatitis B Virus Studies
- Hepatitis C virus research
- Energy Efficient Wireless Sensor Networks
- Smart Agriculture and AI
- Seedling growth and survival studies
- Imbalanced Data Classification Techniques
- Radiomics and Machine Learning in Medical Imaging
- Full-Duplex Wireless Communications
- Data Mining Algorithms and Applications
- AI in Service Interactions
Vellore Institute of Technology University
2016-2025
JSS Science and Technology University
2024
Indian Institute of Management Lucknow
2023
Tamil Nadu Agricultural University
2017-2023
Creative Commons
2023
Lord Buddha Education Foundation
2020-2022
Chhattisgarh Swami Vivekanand Technical University
2022
Mother Teresa Women's University
2022
United Arab Emirates University
2018-2021
Sri Sivasubramaniya Nadar College of Engineering
2018-2019
Integration of artificial intelligence (AI) techniques in wireless infrastructure, real-time collection and processing end-user devices is now high demand. It superlative to use AI detect predict pandemic colossal nature. Coronavirus disease 2019 (COVID-19) which originated Wuhan China has had disastrous effects on the global community overburdened advanced healthcare systems world. Globally; over 4 063 525 confirmed cases 282,244 deaths have been recorded as 11th May 2020 according European...
Lung cancer is among the most hazardous types of in humans. The correct diagnosis pathogenic lung disease critical for medication. Traditionally, determining pathological form involves an expensive and time-consuming process investigation. a leading cause mortality worldwide, with tissue nodules being prevalent way doctors to identify it. proposed model based on robust deep-learning-based detection recognition. This study uses deep neural network as extraction features approach...
New Sixth-generation (6G) networks rely heavily on the Intelligence Internet of Things (IIoT) to store and process data more efficiently. 6G is desired offer ultra-low latency, high bandwidth, improvised quality service that can effectively handle communication among nodes. All healthcare facilities must be outfitted with cutting-edge technology assist individual intelligent diagnosis, patient-centric treatment, a range other services both in hospital remotely. To make system ready adaptable...
MicroRNA-mediated regulation of gene expression appears to be involved in a variety cellular processes, including development, differentiation, proliferation, and apoptosis. Mir-146a is thought the innate immune response, its increased tissues associated with chronic inflammation. Among predicted targets for mir-146a, chemokine CCL8/ MCP-2 ligand CCR5 receptor potent inhibitor CD4/CCR5-mediated HIV-1 entry replication. In present study, we have analyzed changes mir-146a primary human fetal...
Litopenaeus vannamei is economically important shrimp species in worldwide aquaculture. This study was conducted to assess the effect of different levels probiotic Pediococcus pentosaceus (PP) on growth performance, feed utilization, digestive enzyme activity, intestinal microflora count and body composition L. vannamei. Four diets containing concentrations [0 (PP0), 106 (PPI), 107 (PPII) 108 (PPIII) CFU/g] PP were formulated. After 8 weeks feeding trial, experimental shrimps challenged with...
In recent times Autism Spectrum Disorder (ASD) is picking up its force quicker than at any other time. Distinguishing autism characteristics through screening tests over the top expensive and tedious. Screening of same a challenging task, classification must be conducted with great care. Machine Learning (ML) can perform in this problem. Most researchers have utilized ML strategy to characterize patients typical controls, among which support vector machines (SVM) are broadly utilized. Even...
The human neurotropic polyomavirus, JCV, contains an open reading frame within the late region of viral genome that encodes a 71-amino-acid protein, agnoprotein. Because accumulating evidence supports association between JCV infection and brain tumors, including medulloblastomas, we assessed presence Agno gene sequences expression agnoprotein in series 20 well-characterized medulloblastomas.Formalin-fixed, paraffin-embedded tumor tissue samples were used for amplification immunohistochemical...
Abstract Conventional techniques for identifying plant leaf diseases can be labor-intensive and complicated. This research uses artificial intelligence (AI) to propose an automated solution that improves disease detection accuracy overcome the difficulty of conventional methods. Our proposed method deep learning (DL) extract features from photos leaves machine (ML) further processing. To capture complex illness patterns, convolutional neural networks (CNNs) such as VGG19 Inception v3 are...
ABSTRACT Cell-type-specific transcription of the JC virus (JCV) promoter in glial cells initiates a series events leading to viral replication brain and development fatal demyelinating disease progressive multifocal leukoencephalopathy (PML) patients with neurologic complications due infection human immunodeficiency type 1. Here we employed an vitro primary cultures astrocytes compare transcriptional profile cellular genes after JCV by using oligonucleotide-based microarray 12,600 genes....
Bitcoin is a decentralized digital currency without central bank or single administrator sent from user to on the peer-to-peer bitcoin blockchain network intermediaries' need. In this trend analysis work, initial attributes are considered five sectors based financial, social, token, network, and that count thirteen attributes. The price, volume, market cap, mean dollar invested age, social dominance, development activity, transaction token age consumed, velocity, circulation, value realized...
<abstract><p>Fake face identity is a serious, potentially fatal issue that affects every industry from the banking and finance to military mission-critical applications. This where proposed system offers artificial intelligence (AI)-based supported fake detection. The models were trained on an extensive dataset of real images, incorporating steps like sampling, preprocessing, pooling, normalization, vectorization, batch processing model training, testing-, classification via...