Remani Naga Venkata Jagan Mohan

• M.Tech[CSE], Ph.D[CSE]
• Professor (Associate) at SRKR Engineering College

Unrelenting plant diseases continue to pose a serious challenge to the agricultural sector around the world, undermining the production, food security, and economic stability of people. Conventional control systems are usually not timely assessed on their risks, and they do not consider the intricate element interdependence between environmental, b...

Modern criminal investigations include various cutting-edge scientific methods, including hybrid models, game theory, and machine learning. Criminal investigations consist of the examination of data that is utilized as evidence. In this sense, many significant and innovative studies on the crime uncertainty research of criminals have been carried o...

The software reliability model estimates the probability of data failure in a specific environment, significantly impacting reliability and trustworthiness. The paper study focuses on cluster crime data, i.e., indeterministic in Neutrosophic Logic, using a software reliability model. The study utilizes reinforcement learning, Neutrosophic logic, an...

Andhra Pradesh is one of the leading agricultural states in India, with a diverse range of crops, including rice, cotton, sugarcane, and fruits and vegetables. However, like many other regions, Andhra Pradesh faces several challenges related to the agricultural supply chain, like fragmentation of land, a lack of storage and processing facilities, a...

Agriculture plays a major role in a country's economy and GDP. Most of the farmers still follow old and conventional farming practices which may lead to crop failure. They depend on brokers/middlemen. Create a huge loss for the farmers due to which suicidal rates have increased. Provides accurate results as it considers various factors like soil an...

The greatest risk factor for ASD (autism spectrum disorder) disorders is blood lipids. If abnormal blood lipid levels in pregnant women can be predicted early, early involvement can be used to preserve the infant’s health. This paper studies pregnant women with dyslipidemia problems. It first analyses the time series of non-ASD comorbid diagnoses f...

The demand for agricultural goods could be affected by variables such as population growth and consumer tastes. Environmental and zoonotic risks jeopardise crop yields as well as the dependability of distribution and storage networks. Governments can aid in addressing issues of supply and demand by enacting policies like price controls and subsidie...

Explainable artificial intelligence (XAI) is a set of techniques and procedures that makes it possible for individuals to comprehend and trust the results generated by machine learning algorithms. Explainable AI explains AI models, their effects, and possible biases to guarantee results in AI-powered decision making that are accurate, equitable, tr...

Blockchain technologies have been getting a lot of attention lately, in part because of how popular Bitcoin and Ethereum have become. As more industries use blockchain technology, there is a growing need for tools that make it easier to enforce regulations, such as tools that monitor, evaluate, and make sure that the data kept by blockchain systems...

Supervised/unsupervised machine learning processes are a prevalent method in the field of Data Mining and Big Data. Corona Virus disease assessment using COVID-19 health data has recently exposed the potential application area for these methods. This study classifies significant propensities in a variety of monitored unsupervised machine learning o...

Agriculture plays a major role for smallholder farmers in primary and secondary processing, supply chains, and infrastructure that enhance resource efficiency and marketing by decreasing market intermediaries. This paper explores the possibilities of using Blockchain technology in agriculture. The agricultural sector has a great need for informatio...

Machine learning is the kind of process to turns out to be an undividable fraction of any methodical work is mostly because of the simplicity of use and the simplicity of generation of data. The data generation task is pricey or tedious, the data is usually generated in parallel amid various research groups and they are communal by scientists. For...

Farmers cultivating crops without permission from agriculture centres and farmers might choose some crops to Grow without complete knowledge of climatic and soil conditions, resulting in crop failures and further losses due to low rates set by middlemen for selling the yield, leading to an increase in farmer suicides and a data scalability problem...

In the realms of information technology and electronic business facilitation, Blockchain technology is one of the most widely discussed topics. Agriculture is a well-known and well-publicized, but as its use expands to new industries, this technology has the potential to change the way we do business today. Blockchain is a decentralised distributed...

The significance of prisoner's dilemma in making two completely rational individuals might not cooperate even their best interest to do so. Every criminal investigation is strongly reliant on crime data classification and optimization. In this work, we extended prisoners' dilemma for crime data classification and its optimization. A confusion matri...

Andhra Pradesh is based on agriculture. The majority of the state's residents work as farmers on land that belonged to their ancestors. Many agricultural goods are exported from Andhra Pradesh. The local crops include tobacco, mango, rice, cotton, sugarcane, chilli paper, and sugarcane. Every farmer wants good seeds and a quality growth crop, which...

Group key management with privacy preserving and trust still remains a precarious and stimulating issue for securing multicast communications in an energy embarrassed large wireless ad‐hoc networks (WANETs). To address this, few researchers with the adaption of blockchain technology and practical usage of a privacy‐preserving smart contract as grou...

A well-known strategy for facial recognition is image-processing technique. This process is extracting the faces through perspective orientation using the semicircular approach. The semicircular approach is primarily based on angle-oriented photo popularity, which is evolved from the authors by considering the scale and pose. If the size of the ima...

The corona grows very fast in the present day. People with corona symptoms are spreading people unknowingly. Because this is one of the reasons to corona cases fast grow thing actually corona test is possible but some peoples didn't support to doctors and government. Once the same repeat though India still has all the corona positive cases. So my p...

then we find some issues of retrieving query processing and response time also. We propose to machine learning for query processing system and response time using hadoop. In this paper are simple changes to retrieving query process in hadoop using some techniques and the queries performance will make a huge difference in the response times.

Objectives: Diabetes is a major public health problem and mainly affects the eyes, the kidney and the foot. This work focuses on diabetic foot to device new strategies for early diagnosis of diabetic foot in hospitals from the analysis of thermal images. Method/Statistical Analysis: In the presence of a triggering factor, it may lead to ulceration...

In every picture recognition system, the input image is selected and compared with the database image for the matching process. If Input image size is not equivalent to database size, the input image is to be resized to match with the size of database image. Before going to compare the pose of the image in both input and database images by using No...

In general, any field consists of unnecessary data. Several algorithms exist to remove unwanted data because it cannot seal to this processes. Research Scholars are still studying to complete this work. For Instance, face recognition system suffers in-depth pose verification problem over the last few decades. To solve this problem we used angle ori...

The vast volume of data is collected and it needs to be analyzed rapidly for Quality of Data and Quality of Service (QoS), both are used for verification of sharing the information not only for web applications, but also used for many user applications over a network. In this paper, we proposed MapReduce (i.e., Parallelized and Distributed) process...

Software growth models depend on one key assumption about evolution of software systems. It is by continuously identifying and removing the faults whenever failures are identified. This processes to increases the reliability of the software. The data on failures and fixing of the faults is typically obtained during the final stages of testing. In t...

In recent years, large data sets are used not only for internet application but also used on normal applications. A beneficial research results in the area of similarity-based data retrieval techniques, a favorable approach. As a result, the inclusion of similarity-based retrieval techniques of image data into DBMS is currently an active research i...

In recent years, large data sets are used not only for internet application but also used on normal applications. A beneficial research results in the area of similarity-based data retrieval techniques, a favorable approach. As a result, the inclusion of similarity-based retrieval techniques of image data into DBMS is currently an active research i...