Academicians like professors, lecturers and researchers most of the time busy themselves in doing research and write it down on a paper to get it published in a reputed journal. Publishing paper in an academic journal opens a variety of opportunities in front of authors and gives them a new horizon that helps in their personal as well as professional growth. The main purpose behind publish article in journal is to share the information of research findings with the scholars, researchers and other individuals working in the same field of research. This blog will help academic and research scholars to know how to publish article in journal. 

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Following are the benefits one will get by publishing their article or research paper in an international journal:

Open accessibility – In the present time, most of the international journals gives free open access to the readers looking for scholarly articles. Journals open access system helps scholars research work in reaching to the vast audience working in the same field of research around the world and fulfill the aim of research publication. Freely accessible quality research databases encourage young research scholars to do more research and strengthen the research field.

Paper Publication Charges

Reliability – Scholar’s research work goes through an intense peer review system in which quality of research work gets improved and journal published quality work on their portal. This increased the reliability of the research work among academic individuals.

Increase citations – Individuals publishing in an international journal would increase citations for their research work. Journals publishing sites have a large number of audiences related to the domain or research area the author is working in. Many users visits paper publishing sites on a daily basis to find research databases for different reasons like gaining in depth knowledge on a particular topic, looking for ideas for the next research, seeking methods, or looking for previously published articles on the same topic for reference etc. they will likely to read published work and cite them in their work.

Community membership – Many journals run a community platform at their portal in which scholars and researchers having the same field of research or working in the same research domain can have their own communities as per their regions. Journal offers membership of these communities to the authors so that they can connect to the people working in the same department or research areas across the world.

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Scholars, researchers and other academic individuals who want to publish their research paper or articles but don’t have any idea what process is required in submitting paper to journal for research publication or what steps they should take so that their work gets published in a research journal. 

This blog will cover all the aspects that help young scholars as well as academic individuals who just begin their research journey and looking for portals for submitting article for publication. 

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Firstly cover the things one should know in advance if opting for an international journal for paper publications. Students should check the following before submitting a research article or paper in it.

Paper Publication Charges

Research domain – Check the research domain of the journal. If you are opting for a journal which does not publish in the same domain as yours then eventually submitted paper would get rejected in the first phase of reviewing. So why go with the way that does not lead anywhere instead of checking the archive section of the journal to know the prospective research areas of that journal.

Reviewing process – reviewing plays an important role while publishing research work. An author learns a lot through peer reviewing and works to improve their research work through the suggestions given by reviewers. Journal’s offer different types of peer reviewing single blind, double blind, open peer review etc to ensure the quality of the research papers before publication.

Editorial board – Some research papers  need expertise in related subjects.  One should check the editorial board of that journal whether they have the required expertise in related domains to ensure quality reviewing and relevant paper publication in the journal.  

Citations – citations show an average number or rate of the research papers cited by individuals. It reflects the quality of research work published in the journal.

Process of submitting paper to journal

• Go to the journal’s website and look for a submit paper portal. It can be named as manuscript submission, submit paper, submit manuscript etc. 
• Fill the details asked by the journal for paper submission. Like- author name, research domain, department, title of the paper, abstract, corresponding authors (if required), contact details, email, etc.
• Now upload the research document in the format accepted by the journal then click on the submit button.

You have successfully submitted your research paper to the journal. Now wait for the response from the other side. Generally it would take 10 to 15 days. So wait patiently. 

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Authors: Nirmal Kumar Jingar

Abstract: Supply chain operations frequently experience incidents such as delays, shortages, quality failures, and logistics breakdowns. Identifying root causes quickly is critical, yet current incident management processes are largely manual, reactive, and error-prone. Existing systems primarily use rule-based alerts or statistical anomaly detection. Although effective in detecting issues, they lack deep causal reasoning and fail to correlate multi-source data across suppliers, transportation, and operations. This results in delayed resolution and repeated incidents. This paper introduces an automated incident intelligence framework using agentic AI with root cause reasoning. Specialized agents monitor supply chain signals, detect anomalies, and collaboratively perform causal analysis using knowledge graphs and probabilistic reasoning. Generative AI supports hypothesis generation and explanation of root causes in natural language, enabling faster human understanding and response. The proposed system was evaluated on simulated and real operational datasets involving multi-tier supply chains. Results show a 30% reduction in mean time to root cause identification and 22% improvement in incident resolution accuracy compared to traditional approaches. Additionally, the system successfully identified hidden dependencies that were missed by baseline methods. This work demonstrates the effectiveness of agentic AI in transforming incident management from reactive monitoring to proactive intelligence.

DOI: http://doi.org/10.5281/zenodo.18628070

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Academic and research individuals often look for journals in their related fields to publish research papers or articles, to find databases for ongoing or upcoming research, gain knowledge, etc. As we know research is a continuous process which requires both time and money at same time. 

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Why choose journal with doi

DOI or digital object identifier provides a process to identify the online published documents, articles, research  papers and other work.  An international Journal with doi provides many advantages to scholars and researchers who published a research paper or article in it. Journals offers DOI for the research paper helps authors in getting global identity through their research work.

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Most of the time when we explore journal’s websites it is found that some of them state one thing and do others. They write and show the logo of doi on their website but in reality they did not provide any. In this case the one who suffers loses is the author.  So it would be better to ensure whether the journal stating is correct or not. Because getting a DOI number is not that easy for everyone. One has to fulfill all the requirements along with paying a good amount for getting a DOI number for their published work. 

If a journal is published for free then the amount of DOI most of the time bear by the journal itself. In the case of a paid journal it is the author.

How to find out the DOI is authentic or fake:

To check whether the DOI provided by the journal is real or fake just go to DOI official website and put the reference doi number of the journal into the search box presented at the website. Then click on the search button. If the doi is correct then it will show the journal’s name or profile on the window. In other cases it would show none.

 

Advantages

There are many advantages one can have by associating journals with doi. They are discussed in the following points:

Separate URL – DOI provides a separate URL for each online published content. It gives a Unique identification number which reflects the source of the content and provides a global identity to the research paper individually.

Validity – DOI of a research paper increases the validity of that research paper or article. One can look for it source anytime which can not be possible if  if a research paper had a DOI then it 

Increase number of citations – a doi no provides a unique identity to research paper or article and helps scholars in locating the content they are looking for from the original sources. By using DOI one can easily use or arrange citations and references in their research papers / articles. 

Authenticity of the articles – Before DOI there was no platform available that helps in authenticating the citation and references. DOI helps in finding the original sources of the published content and indirectly controls the issue of plagiarism.

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Authors:-Smita Waskale, Arjun singh Parihar , Manisha Kadam

Abstract- Heart related diseases presently pose one of the major threat worldwide. Heart abnormalities show a wide variation because of which accurate diagnosis becomes challenging. Phonocardigram (PCG) signals and their analysis has opened up a new paradigm in telemedicine. The abrupt fluctuations and the randomness of the PCG signals make them difficult to analyze and extract key parameters called features. Conventional Fourier techniques fail in this regard. In this paper, we have proposed a wavelet based technique wherein the discrete wavelet transform (DWT) have been used for the processing and feature extraction of the PCG signals has been done subsequently. The features extracted are energy, variance, entropy and standard deviation. The features extracted can be subsequently utilized for the classification of the PCG signals using the Conjugate Gradient Algorithm. The three categories of classified are: stenosis, regurgidation and normal. It has been shown that the proposed algorithm attains an accuracy of 93%.

DOI: 10.61137/ijsret.vol.9.issue4.101

Cite: Smita Waskale, Arjun singh Parihar , Manisha Kadam. “A Deep Learning Based Approach for Heart Disease Classification using PCG Datasets”. IJSRET Volume 9 Issue 4, July-Aug-2023.

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Authors: Vanaja Kumari Degala

Abstract: Early prediction of student academic performance has become an essential research problem in higher education due to increasing dropout rates and declining academic outcomes. The ability to identify at-risk students at an early stage enables institutions to implement timely interventions and personalized academic support. With the rapid growth of educational data, machine learning (ML) techniques have shown significant potential in extracting meaningful patterns from student records. This paper presents a comprehensive machine learning-based framework for early prediction of student academic performance using pre-admission data and first-year academic attributes. Several supervised learning algorithms, including Logistic Regression, Support Vector Machine, Random Forest, K-Nearest Neighbors, and Extreme Gradient Boosting (XGBoost), are evaluated. Dimensionality reduction using t-distributed Stochastic Neighbor Embedding (t-SNE) is employed to visualize high-dimensional student data. Experimental results demonstrate that combining admission scores with first-year course performance significantly improves prediction accuracy. The proposed approach can assist academic institutions in proactive decision-making to enhance student success and retention.

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A Deep Learning Based Approach for Heart Disease Classification using PCG Datasets
Authors:- Smita Waskale, Arjun singh Parihar , Manisha Kadam

Abstract- Heart related diseases presently pose one of the major threat worldwide. Heart abnormalities show a wide variation because of which accurate diagnosis becomes challenging. Phonocardigram (PCG) signals and their analysis has opened up a new paradigm in telemedicine. The abrupt fluctuations and the randomness of the PCG signals make them difficult to analyze and extract key parameters called features. Conventional Fourier techniques fail in this regard. In this paper, we have proposed a wavelet based technique wherein the discrete wavelet transform (DWT) have been used for the processing and feature extraction of the PCG signals has been done subsequently. The features extracted are energy, variance, entropy and standard deviation. The features extracted can be subsequently utilized for the classification of the PCG signals using the Conjugate Gradient Algorithm. The three categories of classified are: stenosis, regurgidation and normal. It has been shown that the proposed algorithm attains an accuracy of 93%.

Cite: Smita Waskale, Arjun singh Parihar , Manisha Kadam. “A Deep Learning Based Approach for Heart Disease Classification using PCG Datasets”. IJSRET Volume 9 Issue 4, July-Aug-2023.

 

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Modeling and Analysis of Grid Connected Induction Generator for Wind Power Application: Review
Authors:-M. Tech. Scholar Mohit Kumar, Assistant Professor Harjit Singh

Abstract- Over the past few decades, there has been an increasing use of induction generator particularly in wind power applications. In generator operation, a prime mover (turbine, engine) drives the rotor above the synchronous speed. Stator flux still induces currents in the rotor, but since the opposing rotor flux is now cutting the stator coils, active current is produced in stator coils, and motor now operates as a generator, and sends power back to the electrical grid. Based on the source of reactive power induction generators can be classified into two types namely standalone generator and Grid connected induction generator. In case of standalone IGs the magnetizing flux is established by a capacitor bank connected to the machine and in case of grid connection it draws magnetizing current from the grid.

Cite: Mohit Kumar, Harjit Singh. “Modeling and Analysis of Grid Connected Induction Generator for Wind Power Application: Review”. IJSRET Volume 9 Issue 4, July-Aug-2023.

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Enhancement of Micro-strip performance with improvement of antenna gain and feeding technique
Authors:- Pawan Kumar Nishad, Ashish Suryavanshi

Abstract- The goal of this observed is to design and analysis the Microstrip Patch Antenna which covers the Ultra Wide Band 3.1 to 10.6 GHz. This synopsis covers study of basics and fundamentals of microstrip patch antenna. A series of parametric study were done to find that how the characteristics of the antenna depends on its various geometrical and other parameters. The various geometrical parameters of the antenna are the dimensions of the patch and ground planes and the separation between them and it also includes the dielectric constant of the substrate material. The parametric study also contains the study of different techniques for optimizing the different parameters of antenna to get the optimum results and performance. This is a simulation based study. The design and simulation of the antenna is carried out using microwave Studio simulation software. Four antennas with different types of shapes were designed which cover the entire UWB range. The First designed antenna has two half circular patches which are overlapped to each other. A narrow rectangular slit is added to the patch to improve the performance of antenna.

Cite: Pawan Kumar Nishad, Ashish Suryavanshi. “Enhancement of Micro-strip performance with improvement of antenna gain and feeding technique”. IJSRET Volume 9 Issue 4, July-Aug-2023.

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Authors: Santhosh Reddy BasiReddy

Abstract: Customer Relationship Management and enterprise workflow platforms increasingly rely on artificial intelligence to automate decisions related to customer engagement, compliance enforcement, risk evaluation, and operational prioritization across complex organizational environments. While AI-driven automation improves efficiency, consistency, and scalability, it also introduces ethical, legal, and governance challenges that traditional workflow systems were not designed to address. Automated decisions can directly affect customer rights, financial outcomes, regulatory compliance, and organizational reputation, making responsible AI integration a critical architectural and operational concern. This article examines ethical and responsible AI frameworks as they apply to CRM and business workflows, with particular emphasis on governance structures, human oversight mechanisms, transparency, and accountability. By synthesizing established standards, process modeling practices, and human-centered AI research, the paper proposes a structured framework for embedding ethical safeguards into enterprise automation while maintaining operational effectiveness, regulatory alignment, and long-term organizational trust.

DOI: http://doi.org/10.5281/zenodo.18326172

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