Jyoti Srivastava's research while affiliated with Madan Mohan Malaviya University of Technology, Gorakhpur (U.P.) India and other places
What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
Publications (15)
Ad hoc wireless networks can limit creativity, and wireless sensor networks can enhance innovation. The functionalities of components inside a wireless ad hoc network depend on characteristics such as random access memory capacity, battery life, and storage capacity. Several factors such as lack of protection, insufficient infrastructure, ease of c...
The energy-efficient path selection algorithm proposed in this paper balances the conflicting goals of maximizing network lifetime and minimizing energy usage routing in mobile ad hoc networks (MANETs). The proposed strategy maximizes lifetime energy efficiency, MANET, and deep learning. Produce the data after building the network by carrying out a...
This study focuses on deep learning methodologies as it examines the spectrum of sentiment analysis techniques. Identifying the emotional tone or attitude reflected in textual information is called sentiment examination, an important component of natural language processing. A subset of machine learning called deep learning has completely changed t...
5 G wireless sensor network is a network of sensors that can collect data on its own and can be set up anywhere.The most important goals for designing a WSN are to save energy and keep data transfers safe. As workstation networks get more complicated, researchers from a wide range of fields are starting to pay attention to the rise of network-based...
Wireless sensor networks can support much more innovation than ad hoc wireless networks (AHW). For an ad hoc wireless network to work, it needs to have enough processing power, storage space, and battery life. Because they are open, don’t have security, have weak infrastructure, can be set up quickly, and are near potential conflict zones, they can...
Graph theory is one of the most significant ideas. It has wide applications in our daily lives. Graph coloring is one of the concepts of graph theory. On the basis of the basics of requirements, different coloring methods are used. In deconstructing avionics, airport connectivity is the most important and crucial component. It has been used in vari...
Image processing fields, such as separating data from healthcare images, can benefit greatly from using deep learning algorithms. This can be extremely beneficial. For the treatment of someone with a brain tumour, discovering the tumour as soon as possible is critical. The patient's life expectancy would increase if the tumour was discovered sooner...
Citations
... Deploying WSNs in remote environmental monitoring scenarios, such as wildlife conservation or ecological research, necessitates reliable intrusion detection mechanisms. The proposed approach can contribute to securing these networks against unauthorised access, ensuring the continuity of data collection, and minimising the risk of interference in sensitive ecological studies [34]. ...
... A United Nations study predicts that by 2050, there will be close to 10 billion people on Earth, could potentially reach 11 billion by around 2100. The need to produce more food for this rapidly expanding population has led to a surge in the adoption of intensive agricultural methods [4]. Human livelihood is mainly depends on agriculture, which is the world's primary source of food and economic growth. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/11431281085806470-1663911183638_Q64/Sumit-Kumar-370.jpg)
... Furthermore, existing taxonomies serve as a backbone for the ethical and legal governance of AI applications in healthcare [70]. They guide the ethical design, informed consent, data privacy, and the explainability of AI decisions, which are paramount in safety-critical contexts [71]. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/517715837112320-1500444482894_Q64/Shiva-Prakash-11.jpg)
