Category Archives: Uncategorized

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

Published by: vikaspatanker

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.

Paper Publication Charges

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.

Published by: vikaspatanker

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.

Published by: vikaspatanker

Waste Governance Models: Factors for Successful Waste Management and Food Waste Reduction
Authors:-Assistant Professor Anjali Jakhar, Assistant Professor Mohd Nayeem Ali, Assistant Professor Vikrant Kumar, Assistant Professor Aabid Ahmad, Assistant Professor Parveen Malik

Abstract- Effective waste management and food waste reduction are critical for sustainable development and environmental preservation. This review paper aims to provide a comparative analysis of waste governance models, focusing on the political, institutional, and regulatory factors that contribute to successful waste management. Critical analysis was done for the political factors influencing waste governance, emphasizing the significance of political will and commitment in driving effective waste management strategies. The role of political leadership and policy-making in shaping waste governance models is explored, along with the influence of stakeholder engagement and public participation. It is important to know about robust institutional structures and organizations involved in waste management and emphasize the role of collaboration and coordination among these institutions in achieving efficient waste management outcomes. Regulatory factors related to waste management and food waste reduction are evaluated to know about the impact of these on waste governance models and discusses the challenges and opportunities in implementing effective regulatory measures. Emphasis was made on need for comprehensive and flexible regulations that align with environmental objectives while considering socio-economic realities. Case studies from various regions and countries are presented to highlight successful waste governance models. Recommendations for policymakers, institutions, and stakeholders to improve waste governance models were also discussed.

DOI: 10.61137/ijsret.vol.9.issue4.342

Published by: Kajal Tripathi

Laws and Regulations of Waste Management on Environment Protection and 3R’s
Authors:-Assistant Professor Mohd Nayeem Ali, Assistant Professor Anjali Jakhar, Assistant Professor Vikrant Kumar, Assistant Professor Aabid Ahmad, Assistant Professor Parveen Malik

Abstract- India has published its ‘National Policy on environment’ in 2006 for protecting and conserving critical ecological systems and resources. The State is not an absolute owner, but a trustee of all natural resources, which are by nature meant for public use and enjoyment, subject to reasonable conditions, necessary to protect the legitimate interest of a large number of people, or for matters of strategic national interest There are global challenges effecting Global environment are climate change, stratospheric ozone depletion, and biodiversity loss. To combat the environment challenges all the countries have evolved the 3R’s.The 3R’s principle are Reduce, Reuse, Recycle. The aim of this paper is to study the laws and regulation of some of the developed countries which follow the 3R’s and to know whether the Indian legal framework is at par with the developed countries or is there scope for further improvement for better environment protection.

DOI: 10.61137/ijsret.vol.9.issue4.341

Published by: Kajal Tripathi

Effect of Solid Waste on Climate Change- A Review
Authors:-Assistant Professor Vikrant Kumar, Assistant Professor Mohd Nayeem Ali, Assistant Professor Anjali Jakhar

Abstract- Environmental science plays an important part in our daily life. It helps in solving the various issues which are arising in the environment very rapidly and without the checks. It is a burning topic at present. The objectives of the study are to know the global warming, climate change, environmental pollutions and solid waste management. This research is fully based on the secondary data. In this research I analyses the causes and their effects of environmental issues on human beings as well as on plants. I relies that these environmental issues has become a threat to everything and everyone on earth. In environmental issues, each country’s own contribution to worldwide emissions is small so that to solve global environmental problem one needs coordinated actions between countries.

DOI: 10.61137/ijsret.vol.9.issue4.340

Published by: Kajal Tripathi

Decentralized Finance (DeFi): Reshaping Indian Financial Systems
Authors:-Associate Professor Dr Ashfaq Ali

Abstract- Decentralized Finance (DeFi) has emerged as a disruptive force in global financial systems, offering alternatives to traditional banking through blockchain-based solutions. This paper explores the role of DeFi in reshaping India’s financial landscape, focusing on its potential to enhance financial inclusion, streamline cross-border transactions, and democratize investment opportunities. Despite significant opportunities, challenges such as regulatory uncertainty, technological barriers, and financial risks hinder its adoption. The paper provides an in-depth analysis of these issues and offers recommendations for leveraging DeFi to transform Indian financial systems.

DOI: 10.61137/ijsret.vol.9.issue4.339

Published by: Kajal Tripathi

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.

Published by: vikaspatanker

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.

 

Published by: vikaspatanker

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.

Published by: vikaspatanker