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Publishing a research paper is a proud moment. It represents hard work, late night efforts, data analysis, researching, writing, rewriting, and patience. But what happens when a journal asks for charges as a submission or publication fee? That’s where questions begin.
Before making any payment, it’s important to understand how academic publishing actually works.

Submit Your Paper  / Check Publication Charges

What Are the Normal Charging Publication Journals?
In academic publishing, fees are usually called APC (Article Processing Charges). These charges vary depending on the publisher:
Traditional journals often charge low or no fee.
Open-access journals may charge less.
Follow genuine peer review process
Proper editorial board with real scholars
Transparent submission guidelines and payment gateways.
Open access to free reading for pre-published articles.
Provide DOI and ISSN depending on journal policies.
An affordable fee with fast publication and providing digital publication certificate.

If a journal cannot clearly show these credentials, paying a large amount becomes risky. Major publishers may charge higher fees, but they also provide strong indexing, global visibility, and strict peer review systems.

Think Before You Invest

Publishing is not just about adding one more paper to your CV. It is about credibility, visibility, and long-term academic value. Spending a huge amount on a journal that does not offer strong recognition may not help your academic or professional growth.

Before making any payment we aware of the followings;

Verify the official website carefully

Confirm indexing claims

Cross-check contact details

Compare fees with other journals in your field

Check for reputation and impact factor

Confirm for the creditability and reliability

Research is valuable, your effort is valuable. But your money is valuable too. A smart researcher does not just write well, they also choose wisely where to publish. Always evaluate, compare, and then decide.

Published by: Neeraj Mishra

Authors: Nagender Yamsani

Abstract: This study examines the growing need to embed intelligence directly into master data platforms to improve regulatory compliance, operational transparency, and data quality monitoring in complex enterprise environments. Organizations increasingly struggle to maintain consistent governance and audit readiness as data volumes expand across distributed systems, creating a research problem centered on how artificial intelligence and structured evidence mapping can enhance visibility and decision support. The purpose of this research is to develop and evaluate a framework that integrates AI enabled dashboards with master data governance workflows to support continuous compliance and quality assurance. A mixed methodological approach was applied, combining evidence mapping of prior governance and analytics models with architectural synthesis and scenario based evaluation in enterprise data management contexts. The findings demonstrate that intelligent dashboards, when supported by automated metadata analysis, anomaly detection, and lineage driven monitoring, significantly improve detection of data quality risks, accelerate audit preparation, and enhance stewardship effectiveness. The study introduces an architectural model that aligns monitoring, policy enforcement, and predictive analytics within a unified governance layer. These contributions extend existing research in data governance and enterprise analytics by providing a practical and scalable design framework. The results highlight the strategic importance of integrating intelligence into master data platforms, offering guidance for industry practitioners and establishing a foundation for further academic research on autonomous governance and continuous data assurance.

DOI: https://doi.org/10.5281/zenodo.18770933

 

Published by: vikaspatanker

Authors: Tanvi Ramkumar Sunewad, Shahin Tanvir Shaikh, Divya Hemant Dhende, Diksha Datta Jethe

Abstract: Paralysis is a debilitating condition that significantly impairs a patient’s ability to move and communicate, often resulting from neurological disorders, spinal cord injuries, or diseases such as stroke. According to the World Health Organization, stroke and related neurological conditions are among the leading causes of long-term disability worldwide, emphasizing the need for continuous and reliable patient monitoring systems. The Paralysis Patient Health Care Monitoring System is an advanced, technology-driven solution designed to continuously monitor the vital parameters and safety of paralyzed patients in hospitals or home environments. The system integrates biomedical sensors to track essential health indicators such as heart rate, body temperature, blood pressure, oxygen saturation (SpO₂), and movement detection. These parameters are processed through a microcontroller-based unit and transmitted via wireless communication modules to caregivers or medical professionals in real time. The proposed system also incorporates emergency alert mechanisms, enabling patients to communicate distress signals through minimal physical input, such as eye blink detection or slight finger movement sensors. In critical situations, automated notifications are sent to caregivers or healthcare providers to ensure immediate medical intervention. Data collected by the system can be stored in a cloud-based database for continuous analysis, enabling long-term health trend monitoring and improved clinical decision-making. The system enhances patient safety, reduces the burden on caregivers, and supports timely medical response, ultimately improving the quality of life for paralysis patients. In conclusion, the Paralysis Patient Health Care Monitoring System provides an efficient, reliable, and cost-effective approach to continuous health monitoring, promoting better patient outcomes through real-time data tracking, remote accessibility, and intelligent alert mechanisms.

DOI: https://doi.org/10.5281/zenodo.18769831

 

Published by: vikaspatanker

Authors: Ketaki Nanaware, Vedant Dhopate, Atharv Hapse

Abstract: This research paper details the creation of a versatile smart IoT device using the ESP32 microcontroller, MIT App Inventor, and Google Firebase. The device integrates multiple interfaces for real-time data collection, processing, and control, making it ideal for applications in smart homes, industrial automation, and environmental monitoring. The ESP32 handles sensor data (e.g., temperature and humidity) and communicates with Google Firebase for real-time data storage. Users interact through a mobile app developed with MIT App Inventor, which allows monitoring, configuration, and control of connected devices, such as motors. The system also employs MDNS and HTTP servers for efficient local network communication. Key features include dynamic data collection, real-time visualization on the mobile app, and remote device control. The integration with Firebase ensures scalability and secure data handling. This IoT solution demonstrates flexibility and potential for diverse applications, with future enhancements possible through additional sensors and advanced analytics.

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Published by: vikaspatanker

Authors: Khodke Pawan Rajendra, Prof. Dr.U.S.Ansari

Abstract: Offshore steel fixed jacket platforms are essential structural systems that support exploration and production operations in harsh marine environments. These platforms are subjected to complex and fluctuating environmental loads, including wind, waves, currents, and seismic forces, which significantly influence their stability and long-term performance. Bracing systems play a crucial role in enhancing lateral stiffness, improving load distribution, and reducing structural deformations in offshore jackets. This study investigates the structural behaviour of offshore steel fixed jacket platforms equipped with different bracing configurations using SAP 2000. A detailed finite element model was developed, incorporating realistic material properties, geometric parameters, and environmental load combinations based on standard design codes. Static and dynamic analyses were performed to evaluate displacement, base shear, stress distribution, natural frequency, and overall stiffness under combined environmental loading. The comparative assessment revealed notable differences in performance among various bracing layouts, with some configurations demonstrating superior resistance to deformation and improved stability. The study emphasizes the importance of selecting an optimal bracing system to enhance the safety, reliability, and efficiency of jacket platforms. The findings provide valuable insights for design optimization and contribute to the advancement of offshore structural engineering practices.

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Published by: vikaspatanker

Authors: Dr. Priyanka B. Shingade

Abstract: Positivity questions occupy a central place in algebraic combinatory: given a naturally occurring symmetric or quasisymmetric, or polynomial function, when does it expand with nonnegative coefficients in a preferred basis monomial, elementary, Schurz, etc. This survey/research-style paper organizes classical and recent positivity problems, summarizes principal techniques, records key breakthroughs, and lists open conjectures and directions. We emphasize (i) classical positivity phenomena Littlewoods–Richardson, Schurz- and e- positivity, (ii) structural conjectures such as the Stanley–Stem bridge and Macdonald positivity problems and their recent status, (iii) positivity for representation-theoretic multiplicities Kroenke, platysma, and (iv) modern tools that have proved or advanced these questions. We close with a curated bibliography of key references and suggested research directions.

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Published by: vikaspatanker

Submitting a paper is the major compliment a scholar, researcher or a student can feel. They work a lot researching with day and night efforts, writing and then search for a journal which can publish papers immediate and without taking a high publication charge. So students, here we will walk through to know how we can easily make submission of a research paper.

Submit Your Paper  / Check Publication Charges

Complete writing of a paper
First write a real, true, not copied, and honest paper maintaining a well structure. Here are some key points to write a research paper;

Research/survey – make a great and deep research in the topic or subject you are writing. You can visit some open access journals which provide fee reading of before published and indexed, authorized papers related to your subject. Such as you are writing or interested in science, technology or engineering you can visit journal proving fee reading for all relevant readers, researchers.

Title – opt an appropriate and accurate title name well suits on the content.

Abstract and keywords – write down 150-200 words in abstract about the content, keywords as some words or phrased. .

Introduction – describe the research about what, why and how you are writing paper. Also create an outline this helps to guide through writing showing where and what to write.

Literature review – write the content which you are concerned to prove in simple words.

Methodology – describe the methods or survey you did during research. How you found the result.

Result – give result and findings you got and wanted to prove.

Conclusion – a brief summary about the whole content, in the words easy to understand and can prove your side simply.

Reference – the sources, books or platforms used.

After complete writing, search for a reliable journal where the paper can be submitted easily and no submission fee stress. Check for the traits;

• Reliable and maintain credibility
• Free reading access of all already published articles
• Give indexing and recognition
• DOI and ISSN (According to journal policy and paper quality)
• A digital publication certificate
• Mandatory copyright form
• Quick publication and peer review system
• High impact factor value
• Proper submission guidelines maintain transparency and payment getaways. (If charging)

Submit the paper filling all the details with manuscript, mail, contact information, name title etc. the international journals help a lot to provide high reach of audience and which also help new and fresher scholars to encourage for future research.

Published by: Neeraj Mishra

Authors: Gowri A, Mohamed Sathik Z, Moses Saveriyar A, Sanjay P

Abstract: Construction sites are among the most hazardous work environments due to unsafe practices and the improper use of Personal Protective Equipment (PPE). To address these safety challenges, this project proposes an AI-based Construction Site Safety Violation Detection System that automatically identifies unsafe behaviors and PPE violations in real-time video streams. The system utilizes computer vision and deep learning techniques to detect workers, safety gear such as helmets and vests, and hazardous actions including entry into restricted zones and working at heights without protection. A tracking-by-detection approach is employed to monitor individuals across video frames, while pose estimation and action recognition models analyze human posture and movements to classify unsafe activities. When a safety violation persists beyond a predefined duration, the system generates instant alerts to enable timely intervention. This automated approach enhances workplace safety, reduces human supervision effort, and helps construction organizations proactively prevent accidents and injuries.

DOI: https://doi.org/10.5281/zenodo.18766472

Published by: vikaspatanker

Authors: Dr. Amudha G, Porselvi B, Radha A, Usha Mahi Pon

Abstract: Rising electricity demand and the need for sustainable energy solutions have encouraged exploration of alternative micro-generation technologies. This study investigates the use of piezoelectric powered flooring systems to harvest mechanical energy from human footsteps in high-footfall areas such as railway stations, commercial buildings, and educational institutions in India. By converting mechanical stress into electrical energy, piezoelectric materials offer a method of generating supplementary power without requiring additional land or fuel resources. The proposed work presents the system design framework, working principle, and feasibility of large-scale implementation within public infrastructure. Performance estimations indicate that although piezoelectric flooring cannot replace conventional energy sources, it can contribute to localized power needs and support smart, energy-efficient urban environments. The study highlights the potential of integrating energy harvesting technologies into everyday infrastructure to promote sustainable development.

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Published by: vikaspatanker

Authors: Pranabesh Ghosh, Abhishek Konar, Tahsina Tabia

Abstract: The microbial ecosystem within a wastewater treatment facility serves multiple functions-removal of contaminants, recycling nutrients, and recovering resources. However, conventional process monitoring focuses on bulk physicochemical data, limiting information on the microbial processes driving system function. Recent advancements in multi-omics technologies—metagenomics, metatranscriptomics, metaproteomics, and other omics domains—have significantly advanced the study of the microbial communities in wastewater treatment by allowing researchers to comprehensively describe a microbial community's composition, functional capacity, and metabolic activity. Omics technologies have improved knowledge of the biological processes governing the nitrogen, phosphorus, and carbon cycles in wastewater, and the technologies can identify new contaminants and antibiotic resistance genes. When paired with predictive bioprocess modelling, multi-omic data enhances operational control and system stability and promotes energy-efficient process design. Omics data have revealed opportunities for the modernized wastewater treatment plant (WWTP) to transition to a water resource recovery facility (WRRF), wherein the plant can produce methane, recover nutrients, generate biopolymers, and contribute to the carbon economy. Despite advancements utilizing multi-omics technologies, there remain obstacles. Ongoing and emerging challenges include the high cost of sequencing, data integration difficulties, limited applicability to real-time processes, and a lack of infrastructure in developing regions. Closing the gap on process-scale implementation of multi-omics technologies will require standardized testing, multi-disciplinary collaboration, and the use of artificial intelligence control systems. Multi-omics techniques signify a changing of the guard in precision ecological engineering and the development of sustainable, climate-resilient, and resource-efficient bioprocess systems for wastewater treatment. Sustained technological advancement and integration at the systems level will be essential for the future of energy-positive and carbon-neutral wastewater treatment.

DOI: https://doi.org/10.5281/zenodo.18755909

 

Published by: vikaspatanker