A5020305482- Water Quality Monitoring Technologies
- Energy Efficient Wireless Sensor Networks
- Artificial Intelligence in Healthcare
- Smart Systems and Machine Learning
- Advanced Authentication Protocols Security
- Internet of Things and AI
- Air Quality Monitoring and Forecasting
- Machine Learning and ELM
- Machine Learning and Data Classification
- ECG Monitoring and Analysis
- Rough Sets and Fuzzy Logic
- Cloud Data Security Solutions
- Access Control and Trust
- Hydrological Forecasting Using AI
- Cutaneous Melanoma Detection and Management
- EEG and Brain-Computer Interfaces
- Water Quality and Pollution Assessment
Jawaharlal Nehru Technological University, Kakinada
2017-2019
Acharya Nagarjuna University
2019
In Aquaculture, the yields (shrimp, fish etc.) depend on water characteristics of aquaculture pond.For maximizing yields, parameters which are to be kept at certain optimal levels in dissolved oxygen, temperature, salinity, turbidity, pH level, alkalinity and hardness, ammonia nutrient levels.These can vary a lot during period day rapidly change depending external environmental conditions.Hence it is necessary monitor these with high frequency, if not continuously, for timely analysis...
By the motivation of applicability sensor nodes in various appliances like military target tracking, wildlife monitoring, and surveillance, natural disaster relief, hazardous environment exploration, incessant monitoring water quality features can be too an important technology to scrutinize physicochemical parameters for increasing succumbs.For that reason, a diversity sensors positioned ponds gather need detection performed by exploiting data classification methods.Here, Convolutional...
Due to its intricacy, dermatology presents the most challenging and uncertain terrain for diagnosis. Skin conditions like Carcinoma Melanoma are frequently very identify in early stages much more define independently. The use of pattern recognition models automate detection has been studied by a number writers. This research describes novel Deep Convolutional Neural Network (DCNN) Disease Detection. photographs skin would undergo processing remove unwanted noise as well improve photos....
The genesis and spread of illnesses are a major concern in today's rapidly developing technological evolutionary environment.The prevention management using means have emerged as one the most pressing challenges facing medical community.With hectic schedules, it's nearly impossible to stick healthy routine.The problems above can be fixed by smart health monitoring system.Two emerging technologies Internet Things (IoT) artificial intelligence (AI).As more people relocate urban areas, idea...
Abstract The amount of data generated is increasing day by due to the development in remote sensors, and thus it needs concern increase accuracy classification big data. Many methods are practice; however, they limit many reasons like its nature for loss, time complexity, efficiency accuracy. This paper proposes an effective optimal approach using proposed Ant Cat Swarm Optimization-enabled Deep Recurrent Neural Network (ACSO-enabled RNN) Map Reduce framework, which incorporation Lion...
Thyroid is on the rise all across world in modern times.The prevalence of thyroid disease India notably high, reaching 1 10.Due to general public's lack knowledge, situation with that illness fast deteriorating.Early diagnosis crucial so medical professionals can administer effective treatment before condition worsens.This especially true when using deep learning (DL) predict sickness.One DL's strengths its ability how a will progress future.Once more, several feature selection procedures...
Due to the increasing demand on aquaculture, continuous monitoring of water quality and characteristics are significant for maximizing yields. Even though many physicochemical parameters available quality, knowledge domain experts expected analyze these find final decision about water. In order utilize artificially, we have developed a functional tangent tree algorithm which, predict ponds based physiochemical parameters. The proposed method predicting consists three important steps such as,...
<p>The roots of innovation are extending towards every field to provide ace solution. We cater an solution for aquaculture, where their yields (shrimp, fish, etc.) depends on the ponds water characteristics. The parameters depending must kept at certain optimal levels better cultivation Aqua. extremely project alterations during day and also alter upon environmental conditions i.e., it is necessary monitor these with high frequency. adopt wireless sensor networks aqua forms. This...
Abstract Aquaculture becomes very popular in economic where aquatic organisms, like fishes and prawns, are mainly dependent on the quality of water aquaculture pond. Also, constraints, which include turbidity, carbon dioxide, temperature, pH level, dissolved oxygen phosphorus, considered for achieving better performance. Hence, this paper presents an approach aqua status prediction based Deep Long Short‐Term Memory (Deep LSTM) classifier. The sensor nodes placed pond measuring parameters...
The leading death cause all over the world is heart disease. presence of arrhythmias has to be examined detect disease in early stage. abnormality beat rhythm known as Arrhythmia. speed can detected by Arrhythmia, it may too slow, fast or irregular patterns are considered Arrhythmia and there various types electrocardiogram (ECG) produces signals, classification such signals very crucial for knowing irregularity beat. As detection arrhythmia a challenging task, great demand an automatic...