Bosubabu Sambana

Bosubabu Sambana, Hillary Sunday Nnadi, Mohd Anas Wajid et al.

Plant diseases pose significant challenges to farmers and the agricultural sector at large. However, early detection of plant diseases is crucial to mitigating their effects and preventing widespread damage, as outbreaks can severely impact the productivity and quality of crops. With advancements in technology, there are increasing opportunities for automating the monitoring and detection of disease outbreaks in plants. This study proposed a system designed to identify and monitor plant diseases using a transfer learning approach. Specifically, the study utilizes YOLOv7 and YOLOv8, two state-ofthe-art models in the field of object detection. By fine-tuning these models on a dataset of plant leaf images, the system is able to accurately detect the presence of Bacteria, Fungi and Viral diseases such as Powdery Mildew, Angular Leaf Spot, Early blight and Tomato mosaic virus. The model's performance was evaluated using several metrics, including mean Average Precision (mAP), F1-score, Precision, and Recall, yielding values of 91.05, 89.40, 91.22, and 87.66, respectively. The result demonstrates the superior effectiveness and efficiency of YOLOv8 compared to other object detection methods, highlighting its potential for use in modern agricultural practices. The approach provides a scalable, automated solution for early any plant disease detection, contributing to enhanced crop yield, reduced reliance on manual monitoring, and supporting sustainable agricultural practices.

Yuvaraju Chinnam, Bosubabu Sambana

In a nutshell, "the cloud" refers to a collection of interconnected computing resources made possible by an extensive, real-time communication network like the internet. Because of its potential to reduce processing costs, the emerging paradigm of cloud computing has recently attracted a large number of academics. The exponential expansion of cloud computing has made the rapid expansion of cloud services very remarkable. Ensuring the security of personal information in today's interconnected world is no easy task. These days, security is really crucial. Models of security that are relevant to cloud computing include confidentiality, authenticity, accessibility, data integrity, and recovery. Using the Hybrid Encryption this study, we cover all the security issues and leaks in cloud infrastructure.

Yuvaraju Chinnam, Bosubabu Sambana

On social media platforms, the act of predicting reposting is seen as a challenging issue related to Short Message Services (SMS). This study examines the issue of predicting picture reposting in SMS and forecasts users' behavior in sharing photographs on Twitter. Several research vary. The paper introduces a network called Image Retweet Modeling (IRM) that models heterogeneous image retransmission. It considers the user's previous reposting of the image tweet, the next contact in the SMS, and the preferences of the reposted person. Three aspects connected to content. A text-guided multimodal neural network is developed to create a novel multi-faceted attention ranking network methodology. This allows for learning the joint image Twitter representation and user preference representation in the prediction job. Multiple experiments conducted on extensive data sets demonstrate that our approach outperforms current methods on Social Network platforms.

Bosubabu Sambana, Priyanka Mishra

Brain-Computer Interface(BCI) systems support communication through direct measures of neural activity without muscle activity. Brain-Computer Interface systems need to be validated in long-term studies of real-world use by people with severe disabilities, and effective and viable models for their widespread dissemination must be implemented. Finally, the day-to-day and moment-to-moment reliability of BCI performance must be improved so that approaches the reliability of natural muscle-based function. This review discusses the structure and functions of BCI systems, clarifies terminology integration and progress, and opportunities in the field are also identified and explicated based on the current availability of invasive recording technologies used for BCI systems.

Bosubabu Sambana

Blockchain is a decentralized ledger used to securely exchange digital currency, perform deals and transactions efficient manner, each user of the network has access to the least copy of the encrypted ledger so that they can validate a new transaction. The blockchain ledger is a collection of all Bitcoin transactions executed in the past. Basically, it's distributed database that maintains continuously growing tamper-proof data structure blocks that holds batches of individual transactions. The completed blocks are added in a linear and chronological order. Each block contains a timestamp and information link which points to a previous block. Bitcoin is a peer-to-peer permissionless network that allows every user to connect to the network and send new transactions to verify and create new blocks. Satoshi Nakamoto described the design of Bitcoin digital currency in his research paper posted to a cryptography listserv 2008. Nakamoto's suggestion has solved the long-pending problem of cryptography and laid the foundation stone for digital currency. This paper explains the concept of bitcoin, its characteristics, the need for Blockchain, and how Bitcoin works. It attempts to highlight the role of Blockchain in shaping the future of banking , financial services, and the adoption of the Internet of Thinks and future Technologies.