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Research paper publication cost in India

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Research articles or papers help individuals to know authentic and scientifically proven information. Published research articles work as records and help upcoming researchers to find way ahead in their respective field.

Research scholars from India and abroad seek a publication platform just after completing their research work. Any organization or institute required funds to sustain in the business world so the research sector. Research on any topic requires funds from its beginning to completion of the project and then publication. Being aware of the payable amount helps in planning and arranging necessary things accordingly. That is why people most often search for research paper publication cost in India on search engines. Not only Indians but also scholars from other countries look for paper publication costs in India to publish research work easily.

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This blog will let one know how to publish research paper online India along with a platform where one can publish research articles effortlessly in no time.

How to publish research paper online

At present almost all the journals or publication platforms operate online. Journals have their own websites where individuals can directly submit their work for review and publication. Here in this segment will discuss the common procedure followed by most of the journals for paper publication.

  • Visit the journal’s website and get familiar with it.

  • Find the author’s guidelines and read carefully to know the procedure of article publications.

  • Some journals accept papers through paper submission form while some accepts directly through email. Check the mode of paper submission and prepare it accordingly.

  • After preparing the manuscript as per the guidelines go to the manuscript submission page and submit it as asked by the journal.

  • One should check all the details like name, email address, contact number, etc. before making final submission. Now wait for the editor’s response.

Research paper publication cost in india

By following the above steps one can go for online journal publication. Apart from that if you are looking for a good indexing journal then do visit ijsret.com it is an international journal working in the field of science, engineering, technology, management, etc. after acceptance one does not have to worry about formatting and other process of publication as its done by journal internal team.

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Designing Resilient Waste Management Systems For 21st-Century Cities: A Circular Economy Approach

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Authors: Olamide Ayeni, Opeyemi Alamutu

Abstract: The rapid urbanization of the 21st century has created unprecedented challenges for waste management systems, necessitating innovative approaches that integrate resilience and sustainability. This article examines the design and implementation of resilient waste management systems through a circular economy lens, addressing the critical need for sustainable urban development. By analyzing contemporary research and best practices, this study explores how cities can transform linear waste management models into circular systems that promote resource recovery, environmental protection, and economic viability. The article synthesizes evidence from global case studies and technological innovations to provide a comprehensive framework for designing resilient waste management systems that can withstand environmental, economic, and social pressures while contributing to urban sustainability goals

DOI: http://doi.org/10.5281/zenodo.17213748

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Classification of Online Toxic Comments Using Machine Learning Algorithms

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Classification of Online Toxic Comments Using Machine Learning Algorithms/strong>
Authors:-Professor Shubhangi Chatnale, Shivai P. Gore, Rutwik J. Shetty, Soham A. Mahajan

Abstract-The increasing prevalence of toxic comments on social media necessitates efficient automated systems for content moderation. This paper presents a machine learning-based approach to classifying toxic comments, aiming to detect harmful content such as hate speech, threats, and offensive language. We evaluate various supervised learning algorithms, including logistic regression, support vector machines (SVM), random forests, and advanced deep learning models such as recurrent neural networks (RNNs) and transformer-based models like BERT. Text preprocessing techniques like tokenization and feature extraction using TF-IDF and word embeddings are applied to optimize model performance. The models are trained on large labeled datasets and evaluated using accuracy, precision, recall, and F1-score. Our results show that deep learning models, particularly transformer-based architectures, achieve superior performance in identifying toxic comments, highlighting their effectiveness in supporting content moderation on social media platforms.

DOI: 10.61137/ijsret.vol.10.issue5.285
55

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Efficient Ultra High Voltage Conversion Using Multistage Boost Technology

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strong>Efficient Ultra High Voltage Conversion Using Multistage Boost Technology/strong>
Authors:-Assistant Professor R. Alamelu, R. Sureshkumar, R. Prasanth, S. Sakthivel

Abstract-An innovative ultrahigh step-up dc-dc converter that integrates a dual-stage boost converter, a coupled inductor, and a multiplier cell. The dual-stage boost converter provides an initial voltage boost, while the coupled inductor enables efficient energy transfer and recycling of leakage energy. The multiplier cell further amplifies the output voltage. This configuration reduces voltage stress on power switches, decreases the size of passive components, and ensures continuous input current. With these features, the proposed converter offers enhanced performance, making it suitable for applications requiring high voltage conversion with minimal power losses. The simulation prototype steps up the input voltage using a 150-W prototype converter from 25 V to 550 V using MATLAB.

DOI: 10.61137/ijsret.vol.10.issue5.284
55

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Radeon: An Innovative Malicious Discernment and Deterrance for Automaton Gadgets

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Radeon: An Innovative Malicious Discernment and Deterrance for Automaton Gadgets/strong>
Authors:-Venkatakrishnan Elangumaran

Abstract-Android clients are continually undermined by an expanding many malevolent (apps), conventionally called malicious. Malicious comprises a genuine danger to client security, cash, and gadget and record uprightness. In this work system note that, by concentrate their activities, system can arrange malicious into few social classes, every one of which plays out a constrained arrangement of mischievous activities that portray them. These mischievous activities can be characterized by checking highlights having a place with various Android levels. In this work, an innovative malicious location framework for Android gadgets whichever at the same time investigations the application by utilizing conduct models and keep an android application. This framework will be intended to take into records those practices attributes of pretty much every genuine malicious which can be found in nature. An epic host-based application which recognizes and adequately squares over 96% of noxious applications, which originate in distinction to three substantial data files with 3,000 applications, by abusing the collaboration of dual simultaneous classifiers conduct behavior-based locator. Broad investigations, likewise incorporates the examination of a tried of 9,800 authentic applications, have been led to demonstrate the not high negative caution rates, the insignificant execution overhead, restricted cordless utilization.

DOI: 10.61137/ijsret.vol.10.issue5.283
55

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The Expanding Universe: Dark Matter Causing Moon to Drift Apart From Earth

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The Expanding Universe: Dark Matter Causing Moon to Drift Apart From Earth/strong>
Authors:-Yashwini Gaur

Abstract-In the late 1960s, through Lunar Laser Ranging Experiments, it was discovered that the Moon is drifting apart from the Earth at a constant rate. This new discovery has created a buzz among the scientists, with widely speculated reasons such as tidal forces, and Earth’s rotation rate. This rate of the Moon drifting apart has been relatively stable over years, with an average rate of 3.8 centimeters (1.5 inches) per year. This research paper explores the factors contributing to the Moon’s gradual drift away from Earth and introduces an additional potential reason for this phenomenon; where dark energy and matter comes into the picture and plays a role by expanding the distance between the 2 celestial objects. This paper will discuss in detail about the effect of dark energy on local systems like the solar system. To conclude, this paper will analyze the gradual drift of the Earth and the Moon because of dark energy and matter, discuss about its distribution in the universe, and predict its future impact on local systems and bodies in detail.

DOI: 10.61137/ijsret.vol.10.issue5.282

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Impact of Short-Duration Rice Cultivation on Water Resource Management and Sustainability

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Impact of Short-Duration Rice Cultivation on Water Resource Management and Sustainability/strong>
Authors:-Nikam Jaiswal, Assistant Professor Dr. Gurshaminder Singh

Abstract-Water scarcity is rapidly becoming one of the most critical challenges facing global agriculture, particularly in regions that heavily depend on water-intensive crops such as rice. Traditional rice farming, which involves continuous flooding of paddy fields, consumes vast amounts of water, making rice cultivation unsustainable in many water-stressed regions. The need for innovative, water-efficient agricultural practices has led to the development and adoption of short-duration rice varieties, which offer a viable solution to reducing water use without compromising crop yield or food security. Short-duration rice varieties are characterized by their shorter growing periods, typically maturing within 90 to 110 days compared to conventional varieties that can take over 150 days. By requiring less time in the field, these varieties also demand significantly less water for irrigation, making them highly suitable for areas facing water scarcity, irregular rainfall, and unreliable irrigation infrastructure. In addition to reducing water consumption, short-duration rice contributes to the overall sustainability of farming systems by allowing for better synchronization with seasonal rains, enabling double or multiple cropping, and minimizing the need for groundwater extraction.

DOI: 10.61137/ijsret.vol.10.issue5.281

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A Comprehensive Web-Based Application for Digital Book-Keeping, Payment Process, and Secure Peer-to-Peer Transaction

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A Comprehensive Web-Based Application for Digital Book-Keeping, Payment Process, and Secure Peer-to-Peer Transaction/strong>
Authors:-Assistant Professor Shivangi Sharma, Devansh Gautam, Sanjana Rajput, Ritik Ghosh, Purva Pardhi

Abstract-This paper presents the designing of a web-based financial application that implements digital bookkeeping and payment management features considering the needs of small and medium-sized businesses (SMBs). Identified financial management challenges for SMBs to track their expenses and debts as well as to make UPI-based payments are considered. The added feature of the app is the sound peer-to-peer payment with state-of-the art technologies including usage of biometric authentication, face recognition, and near-field communication. This will enable smooth financial transactions and, consequently, enhance security thereby reducing reliance on intermediaries and risk of frauds. It then delves into technical architecture, security features, and user experience, extending that with business implications of the application in a scenario of commission-based benefits. The thesis then discusses market potential and scalability of the app.

DOI: 10.61137/ijsret.vol.10.issue5.280

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Blockchain Technology in Global Healthcare: A Paradigm Shift

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Blockchain Technology in Global Healthcare: A Paradigm Shift/strong>
Authors:-Dr.Rohith Jampani

Abstract-The global healthcare landscape is rapidly evolving, driven by technological advancements, demographic shifts, and rising expectations for personalized, secure, and efficient medical care. However, healthcare systems face a myriad of challenges, including fragmented data systems, cybersecurity threats, inefficiencies, and opaque supply chains. Blockchain technology, with its decentralized, immutable, and transparent nature, has emerged as a promising solution to these issues. It enables a new paradigm for secure, interoperable, and scalable healthcare systems, addressing not only technological inefficiencies but also policy, regulatory, and ethical challenges. This research explores the application of blockchain technology in healthcare, providing case studies and insights into its transformative potential for enhancing patient-centered care and data security.

DOI: 10.61137/ijsret.vol.10.issue5.279

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Classification of Packet Length Spectral Analysis for IoT Network Traffic Using Random Forest Extra Tree Categorization

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Classification of Packet Length Spectral Analysis for IoT Network Traffic Using Random Forest Extra Tree Categorization/strong>
Authors:-N.Deena Nepolian, Dr.Abhisha Mano, B.P.Beno Ben

Abstract-The swift advancement of the Internet of Things (IoT) has ushered in a wealth of benefits, allowing countless interconnected devices to interact and exchange data effortlessly. Previously, network traffic including unusual patterns, was mainly produced by established, secure endpoints with strong security features, like smartphones. With the advent of the Internet of Things (IoT) no matter how small or intricate device, now has the capability to produce unusual levels of network activity. One of the biggest challenges facing the IoT industry is network traffic, which can have a negative impact on the overall performance of IoT devices and systems. To address this issue, a random forest classifier has been developed specifically for classifying IoT data. Extra Trees offer a significant benefit by minimizing bias. This is achieved by randomly sampling from the entire dataset when building the trees. Random Forest is a widely recognized machine learning technique which favours accuracy, reliability, flexibility and scalability. The process of data preprocessing involves transforming unrefined data into a refined dataset. Chi-square based feature extraction is utilized to extract relevant information and this technique enhances classification by selecting the most important features from the extraction regions. In the end, the chosen characteristics are inputted into both an extra tree and random forest classifier to ensure precise categorization and the implementation of this endeavor is carried out utilizing Python programming.

DOI: 10.61137/ijsret.vol.10.issue5.278

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