Category Archives: Uncategorized

Authors: Ranjith Durgunala, Harshith Manchikkanti, Rahul Perugu, Sunadh Rithvik Ponnuru

Abstract: Therapid increase in sedentary lifestyles and unhealthy dietary habits has raised serious concerns regarding physical fitness and overall well-being. This project presents an AI Framework for Personalized Fitness & Diet Recommendation System designed to provide intelligent and customized health guidance. The system gathers essential user information including age, gender, height, weight, activity level, medical conditions, dietary preference, and fitness goals. Using this data, Body Mass Index (BMI) is calculated to assess the user’s health status. Machine learning algorithms analyze user profiles to generate personalized workout routines and diet plans tailored for fat loss, muscle gain, weight gain, or general fitness. A progress tracking module records daily weight, workout completion, and calorie intake to evaluate improvement. In addition, predictive models estimate expected fitness outcomes over 30, 60, and 90 days. The proposed framework enhances decision-making through data-driven insights, improves user engagement, and promotes sustainable lifestyle changes using artificial intelligence and machine learning techniques.

Published by: vikaspatanker

In today’s digital research environment, open access journal publication has become an important way to share knowledge with a global audience. Unlike traditional publishing, open access allows anyone to read research articles freely without subscription barriers. This model is transforming how information is accessed, used, and shared across the world.

Submit Your Paper  / Check Publication Charges

What is Open Access Publication?

Open access publication refers to a system where research articles are made freely available online for everyone. Readers can access, download, and use the content without paying any fees. This approach supports the idea that knowledge should be accessible to all, not limited by financial restrictions.

There are different types of open access models. Some journals provide immediate free access to all articles, while others may offer limited access or allow authors to archive their work in public repositories. Each model aims to improve the visibility and reach of research.

How Open Access Publishing Works?

The process of publishing in an open access journal is similar to traditional publishing. Authors submit their manuscript, which goes through peer review. Experts evaluate the quality, originality, and relevance of the research before it is accepted.

In many cases, open access journals charge an Article Processing Charge to cover editorial and publishing costs. However, some journals operate without fees, supported by institutions or organizations. It is important for researchers to check the policies before submission.

Benefits of Open Access Journals

• Open access publishing offers several advantages:
• Wider Reach and Visibility, knowledge Sharing
• Research becomes accessible to a global audience, increasing readership and impact.
• Higher Citation Potential
• Freely available articles are more likely to be read and cited by other researchers.
• Students, educators, and professionals can benefit from unrestricted access to research.
• Faster Dissemination
• Information spreads quickly without access barriers, supporting innovation and collaboration.

Challenges are also there to Consider

While open access is beneficial, there are some challenges:

• Some journals charge high publication fees
• Risk of low-quality or non-reviewed platforms
• Confusion between genuine and unreliable journals
• Researchers should always verify the credibility of a journal before submitting their work.

Choose the Right Journal

To ensure safe and effective publication, consider the following:

• Check if the journal follows a proper peer-review process
• Look for indexing in recognized databases
• Read author guidelines carefully
• Avoid journals that promise instant acceptance

Open access journal publication is a powerful way to share research with the world. It promotes transparency, accessibility, and academic growth. By choosing the right platform and maintaining research quality, authors can make their work widely available and impactful. As the demand for accessible knowledge continues to grow, open access publishing will remain a key part of the future of research communication.

Published by: Neeraj Mishra

Publishing a research paper without paying high fees is something many scholars look for, especially students and early-career researchers. The good news is that there are several platforms that allow free publication while still maintaining academic standards. However, finding the right one requires a bit of awareness and careful selection.

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Understanding Free Publication Options

Not all journals charge authors for publishing. Some operate on a model where readers or institutions cover the costs instead. These are often supported by universities, research organizations, or government bodies. Such journals focus on knowledge sharing rather than profit, making them ideal for researchers with limited budgets.

Key Features to Look For

When searching for a free journal, it is important to focus on quality rather than just cost. Here are a few essential points to consider:

Peer Review Process

A reliable journal always follows a proper review system. This ensures your research is evaluated by experts before publication.

Indexing and Visibility

Choose journals that are indexed in well-known academic databases. This helps your work reach a wider audience and improves credibility.

Clear Author Guidelines

Good journals provide detailed instructions for formatting, submission, and referencing. This reflects professionalism and transparency.

No Hidden Charges

Some journals claim to be free but later ask for processing or formatting fees. Always check their policies carefully.

Types of Free Journals

Free publication opportunities usually fall into a few categories:

Institution-Supported Journals

Managed by universities or colleges, these journals often promote academic research without charging authors.

Government-Funded Journals

Supported by national or regional research bodies, they aim to encourage scientific and social research.

Benefits of Publishing for Free

• Publishing in a free journal offers multiple advantages:
• Reduces financial burden on students and independent researchers
• Encourages wider participation in academic research
• Allows focus on quality of work rather than publication cost
• Helps beginners build their research profile

While free journals are beneficial, researchers should stay aware. Avoid platforms that promise instant publication or lack proper editorial information. These may harm your academic reputation. Always verify authenticity before submitting your work.

Free journals are a great opportunity for researchers to share their ideas without financial stress. With careful selection and attention to quality, you can publish your work in a credible platform and contribute meaningfully to your field. Focus on originality, follow submission guidelines, and choose wisely your research deserves the right stage.

Published by: Neeraj Mishra

Publishing research work is an essential and special phase of academic journey. Not every researcher, student get funded to publish their paper work, whether to publish in international journal or national, both charge a high fee. But everything has its two sides, not all journals are same here. So today we will be having a talk about the journals to publish research paper for free and help the non-funded students and independent scholars.

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What Are The Journals Publishing Research For Free?

The journals allow research scholars to submit their paper without facing any problem of fee charges. They can submit and get published their paper without taking stress of paying money.

But here comes a challenge that is how to find these journals and writing a paper? Yes, paper writing becomes the most important part at this point as free publication relies on paper quality and free does not always mean zero charges for all the journals. So you are needed to visit and check official websites every time to avoid fake Jonas and get published easily in a reputed journal.

Your paper writing should include;

• An appropriate title
• Abstract
• Keywords
• Introduction
• Literature review
• Methodology
• Result, discussion and analysis
• Conclusion
• Reference

Cover all these essential parts while writing to not get confused.

Get a true journal

Find the journals which have these given traits;

• Guides for paper submission
• Reputed and authorized
• Follow peer review process
• Fast publication capacity
• Quick initial review result
• Grant publication e-certificate, ISSN and DOI

Submit your manuscript in the journal which publishes paper in your research subject area or multidisciplinary journal. After review you will be informed about acceptance, improvement or rejection. If paper gets accepted then it can get published, depending on paper quality. You can e-certificate as well. If asked for improvement, then make important changes and re-submit for re-evaluation and publication.

A free publication becomes most valuable when it is about publishing you research paper in national or international journal. Grab the opportunity and make yourself feel proud.

Published by: Neeraj Mishra

Authors: Gudimella Akhilesh, Peruri Karthik Sai, Kunburu Manikanta Reddy, Dr. Atul Kumar Ramotra

Abstract: Career decision-making among engineering students is often influenced by trends rather than a proper evaluation of individual skill sets, leading to skill–career mismatch. This project presents CareerLens, an explainable skill-based career recommendation system designed to guide students in selecting suitable academic streams and job roles. The system analyzes user-provided technical skills along with proficiency levels, maps them to predefined career requirements, and computes readiness scores to generate personalized recommendations. Additionally, it identifies skill gaps and suggests improvements to enhance career readiness. By emphasizing transparency, interpretability, and skill-driven guidance, CareerLens aims to bridge the gap between student capabilities and evolving industry demands.

DOI: https://doi.org/10.5281/zenodo.19550142

 

Published by: vikaspatanker

Authors: Mr.MD. Abdul kala, V.Krupa, M.pavani M. Hemanth sai

Abstract: Diabetic Retinopathy (DR) is a serious eye disease caused by long-term diabetes. It is one of the main causes of blindness around the globe. Early detection and prompt treatment are crucial to prevent permanent vision loss. Unfortunately, traditional diagnostic methods depend on the manual inspection of retinal fundus images by ophthalmologists. This process is time-consuming, subjective, and requires specialized skills. This project presents a Hybrid CNN-MLP Model for automated detection and classification of diabetic retinopathy using retinal images. The system combines Convolutional Neural Networks (CNN) for feature extraction and Multilayer Perceptron (MLP) for classification. The CNN component effectively captures spatial features like microaneurysms, hemorrhages, and exudates. Meanwhile, the MLP classifies these features into different levels of DR severity. The system is created using Python, TensorFlow/Keras, and Flask for online interaction. Users can upload retinal images, enter patient information, and receive real-time predictions with confidence scores, medical suggestions, and downloadable PDF reports. The system also keeps a record of patient history and provides visual analytics through graphs. This proposed model shows better accuracy, efficiency, and usability. It serves as a valuable tool for early screening and supports healthcare professionals in making decisions.

DOI: https://doi.org/10.5281/zenodo.19549841

 

Published by: vikaspatanker

Authors: Mrs. G. Monika, B. Bindu, U. Edukondalu, K.Varshith

Abstract: Insider threat is one of the biggest problems facing organizational security since insiders are individuals with authorized access to an organization’s information assets. Organizational security solutions can only detect outsider attacks and do not perform effectively when faced with malicious behaviors or accidental acts carried out by insiders. In this research paper, a method of detecting insider threat using behavioral anomaly is outlined. This solution aims at continuous observation of user behavior such as logging on, file access and general interaction with the system resources. Machine learning algorithms are employed in modeling user behavior and alerting any deviation that can imply an act of malice.

DOI: https://doi.org/10.5281/zenodo.19549305

 

Published by: vikaspatanker

Authors: Rajat Vijaybahadur Singh, Prasad Balasaheb Varpe, Pranav Navnath Lokhande, Krushna Suresh Awate

 

Abstract: Agriculture plays a vital role in the economy, and efficient farming techniques are essential for increasing crop productivity. Fertilizer application is one of the most important processes in agriculture, but traditional methods of applying fertilizers are time-consuming, labor-intensive, and often result in uneven distribution. To overcome these problems, a solar-powered fertilizer spraying machine is developed in this project. The main objective of this project is to design and fabricate a cost-effective, eco-friendly, and efficient fertilizer spraying system that reduces manual effort and ensures uniform spraying. The machine consists of a solar panel, battery, solar charge controller, water motor pump, storage tank, nozzle, flow pipes, and a four-wheel frame. The solar panel converts sunlight into electrical energy, which is stored in the battery and used to operate the motor pump. The pump creates pressure to spray the fertilizer solution through the nozzle in the form of fine droplets. The system provides several advantages such as reduced labor, time saving, uniform distribution of fertilizers, and low operating cost due to the use of solar energy. The four-wheel structure makes the machine portable and easy to operate in agricultural fields. It is especially useful for small and medium-scale farmers. This project demonstrates the effective use of renewable energy in agriculture and contributes to sustainable farming practices. The developed machine is simple in design, economical, and capable of improving overall agricultural efficiency and productivity.

DOI: https://doi.org/10.5281/zenodo.19548929

 

Published by: vikaspatanker

Authors: P. Dr. K. Rama Linga Reddy, Penumarty Srilakshmi Bhanupriya, Nikitha Mora, B. Suchitra, Sruthi Gujjula

Abstract: The paper describes the design of an Autonomous Signal Deception and Offensive System to be used at the Battlefield – a Simulink-based RF electronic warfare (EW) simulation system based on an earlier created hardware prototype, the Ultrasonic Deception System. In the previous system, four deception methods, including range deception, angle deception, stealth, and noise injection are shown with Arduino Mega and ultrasonic sensors, and the choice of the technique is done manually by an operator. The proposed system completely removes any manual involvement and adds five important extensions: autonomous selection of deception techniques with a randomized decision engine, an offensive electromagnetic pulse (EMP) generation subsystem, a cryptographic Identification Friend or Foe (IFF) protocol based on challenge-response authentication via XOR operations and pre-shared secret keys, an accurate RF channel model including path loss, propagation delay, and additive white Gaussian noise (AWGN). This system is implemerandi-based technique selection, and a Countermeasure Generation block that generates high-amplitude EMP pulses. The results of simulations show that autonomous threat classification is successful, the deployment of unpredictable deception techniques, and the possibility to quantify the degradation of the enemy system. Performance is analyzed based on six metrics such as IFF classification accuracy, deception effectiveness, SNR degradation, Shannon channel capacity, deception unpredictability entropy and system health degradation rate.

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Dr. P.Vamsi krishna raja, Nama Venkata Bhaskara Sudheer

Abstract: Electric load forecasting plays a crucial role in efficient power system operation and energy management. Accurate prediction of electricity demand helps in reducing operational costs and improving system reliability. However, traditional forecasting methods often fail to handle complex and non-linear patterns present in real-world data. To address this issue, this paper proposes a machine learning–based approach using Extreme Gradient Boosting (XGBoost) for electric load forecasting. The proposed system utilizes historical load data along with important features such as time and temperature to train the model. Data preprocessing and feature selection techniques are applied to improve data quality and model performance. XGBoost, a powerful ensemble learning algorithm, is employed to capture complex relationships and enhance prediction accuracy. The model is evaluated using standard performance metrics, and the results demonstrate improved accuracy and efficiency compared to conventional methods. The proposed approach provides a reliable and scalable solution for electric load forecasting, supporting better decision-making in power system planning and management.

DOI: http://doi.org/10.61137/ijsret.vol.12.issue2.179

Published by: vikaspatanker