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A Comparative Analysis of Lab View and PyTorch for Machine Learning: The gap between Experimentation and Production

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A Comparative Analysis of Lab View and PyTorch for Machine Learning: The gap between Experimentation and Production/strong>
Authors:-Archana Narayanan, Vishrut Jha, Joanne Anto

Abstract- This paper presents a comparative analysis of handwritten digit recognition performance between LabVIEW and PyTorch frameworks, utilizing a Convolutional Neural Network (CNN). The model is designed to classify digits from the MNIST dataset, which consists of 28×28 grayscale images of handwritten digits (0–9). The dataset includes 60,000 training images and 10,000 test images, providing a standardized benchmark for evaluating model performance. Metrics such as accuracy, training time, memory usage, and inference speed are evaluated. The results provide insight into the strengths and weaknesses of these frameworks in terms of efficiency, scalability, and usability. Results indicate that while both frameworks are effective, PyTorch offers faster training and inference, whereas LabVIEW demonstrates marginally better training accuracy.

DOI: 10.61137/ijsret.vol.10.issue6.402

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Fraud Detection in Financial Institutions: AI VS. Traditional Methods

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Fraud Detection in Financial Institutions: AI VS. Traditional Methods
Authors:-Chintamani Bagwe

Abstract-This research paper provides a comparative analysis of traditional rule-based fraud detection methods and emerging AI-based approaches in financial institutions. The study examines effectiveness, adaptability, operational efficiency, regulatory compliance, and implementation considerations of both methodologies. Through detailed evaluation supported by visual representations, the paper demonstrates that while AI-based methods offer superior detection accuracy, adaptability, and reduced false positives, traditional approaches provide greater transparency and established regulatory compliance frameworks. The findings suggest that hybrid approaches combining the strengths of both methodologies represent the optimal strategy for most financial institutions. The paper concludes with an examination of future trends and recommendations for financial institutions seeking to enhance their fraud detection capabilities.

DOI: 10.61137/ijsret.vol.10.issue6.654

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Securing the Digital Age: A Look at Cryptography and Network Security

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Securing the Digital Age: A Look at Cryptography and Network Security/strong>
Authors:-Professor Mugdha Dharmadhikari, Mr. Vaishnav Sabale

Abstract- The digital world thrives on the secure exchange of information across vast networks. This paper explores cryptography as a fundamental pillar of network security, ensuring data confidentiality, integrity, and authenticity. We delve into the core objectives of network security and how cryptography achieves them through encryption techniques. We explore both symmetric-key and asymmetric-key cryptography, along with their strengths and limitations. The paper further examines cryptography’s role in guaranteeing data integrity and sender authentication. We acknowledge the limitations of cryptography, including computational demands and the looming threat of quantum computers, which necessitates the development of post-quantum cryptography. Finally, the paper emphasizes the crucial role of ongoing research and development in cryptography to safeguard the ever-expanding digital landscape.

DOI: 10.61137/ijsret.vol.10.issue6.401

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Full Stack Web Application for Prediction and Diagnosis of Heart Disease

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Full Stack Web Application for Prediction and Diagnosis of Heart Disease/strong>
Authors:-Assistant Professor Ms. Dornadhula Danya, Suraj A U, Moju Kumar B L, Deepak Kumar Singh D, Shubhan GC

Abstract- In the modern era, Cardio-vascular disease has high prevalence and rate of mortality which proves how critical, identification and intervention strategies are, further highlighting the importance of incorporating this in developing heart disease prediction systems. The heart prediction system research revolves around using AI-driven techniques techniques to strengthen and make heart disease risk prediction robust and effective. The paper explains methodology, dataset characteristics, experimental setup, results and the design of the models in a AI-driven techniques heart prediction system. Additionally, the practical implications of the research output are discussed regarding the use of the system in real life for alleviating heart disease predictions and strategies.

DOI: 10.61137/ijsret.vol.10.issue6.400

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Power Consumption Analytics Using Cloud Platforms

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Power Consumption Analytics Using Cloud Platforms/strong>
Authors:-Muthuraja M, Krishnan T, Prakash Dass R, Deepak kumaran RMG, Bharath G

Abstract- The increasing demand for electricity and environmental concerns have created a critical need for advanced energy management solutions. This study presents an IoT and cloud-based analytics system that provides real-time insights into power consumption, enabling efficient energy utilization. Leveraging ThingSpeak as the cloud platform, the system integrates smart meters to monitor voltage, power factor, and energy trends. Key contributions include real-time anomaly detection, dynamic visualization, and customizable alert systems. The proposed methodology enhances user engagement and supports scalability for diverse energy applications.

DOI: 10.61137/ijsret.vol.10.issue6.399

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Predictive Maintenance with AI for Smart Homes

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Predictive Maintenance with AI for Smart Homes/strong>
Authors:-Revathi Renjini, Associate Professor S R Raja

Abstract- As homes are increasingly adopt smart technologies, their reliability as well as longevity have become paramount to avoid unnecessary downtime and ensure continuous, efficient operations. By incorporating Artificial Intelligence (AI) and Internet of Things (IoT) technologies this research enhances predictive maintenance and thereby contributing sustainability goals. Sensors are utilized to monitor real-time data like temperature, pressure, and vibrations from connected devices and systems. Using the machine learning models – linear regression and decision trees, this research demonstrates how AI can extract actionable insights from sensor data. This research showcases the potential to create more reliable, sustainable, and efficient predictive maintenance solutions that are not only low-cost and accessible but can be adapted for both small-scale and large industrial applications. These advancements will further enhance the predictive capabilities of the system and support long-term environmental sustainability by continuously optimizing resource consumption and reducing waste generation.

DOI: 10.61137/ijsret.vol.10.issue6.398

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Energy Storage Systems

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Energy Storage Systems/strong>
Authors:-Ahmed R. Alharbi

Abstract- This review paper provides an in-depth analysis of diverse energy storage systems, emphasizing their significance, operating principles, and practical applications in tackling contemporary energy issues. As the global shift towards sustainable energy gains momentum, effective Energy Storage Systems (ESS) play a pivotal role in maintaining the balance between supply and demand, especially in the integration of renewable energy sources. The paper explores an extensive array of energy storage solutions, such as Thermal Energy Storage (TES), Chemical Energy Storage (CES), Electrochemical Energy Storage (EcES), Electrical Energy Storage (EES), Hybrid Energy Storage Systems (HES), and Mechanical Energy Storage (MES). By conducting a comparative assessment, it highlights the strengths and weaknesses of each approach and provides insights into emerging trends and challenges within the sector. Furthermore, the study focuses on optimizing Gravity Energy Storage (GES) systems using the Taguchi method to improve energy efficiency and system reliability, showcasing the potential of GES as a viable and adaptable solution for sustainable energy storage.

DOI: 10.61137/ijsret.vol.10.issue6.397

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Where Can I Publish My Research Paper for Free

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Most of authors look for the free publication of the research content. But it was found that publisher takes large amount of time to review and put down lot of correction in the submitted paper copy. So this article help scholars who are searching for Where Can I Publish My Research Paper for Free. Most of publisher I the market are paid and they do review process for no money. Put of such paid set of journal some publishers do same work without any charges. This directly increases the review time as publisher feel that if they do not get money then at least some information is shared by the journal with the upcoming issues. So read following set of important filters that ultimately reduces the searching load of the young scholars.

Submit Your Paper  / Check Publication Charges

  • Find the research domain related paper on different search engine. Such set of journals will be filter by matching research area of the author.

  • Researcher not only work on project but also write down paper with a great hope of publication so paying to the journal is not expectation of the author. But each of author need to cross this hurdle of publication either go with paid or unpaid journals.

  • Further each journal has its own word/ latex format that is must for the publisher to be submit in such free journals.

  • Some for journal write down that writing publication in 1 day need to be aware of such journals as they might show free publication but later charge on the basis of formatting, grammar correction, number of authors, number of pages in article, number of color pages in article, etc.. So before submission just clear or read the hidden charges of the journal apart from the FREE publication fees.

  • Check the validity of the paper as many of scholars do publication in unknown publishers who just run website do not have valid set of publishing license.

  • Free of cost publisher generally do not provide Open Access to the readers as those journals earn by the subscription model, hence such publication has very less chance of citations.

Where Can I Publish My Research Paper for Free

So authors not only search for Where Can I Publish My Research Paper for Free but also consider all above points so the objective of the publication get achieve. Based on the research field of the paper scholar should go with journal who provide FREE, FAST, OPEN ACCESS publication with more chance of citation as well.

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Best International Journals to Publish Research Papers

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Publication of research content depends on publisher domain. Researcher or author always finds for Best International Journals to Publish Research Papers but reaching a journal that fulfill author requirement is not easy. Scholars always depends on search engine that redirects to some very know website / publishers. But publication with such journals is not possible with beginners, as level of research and writing of research both need in such publication. People who are dependent on guide or mentor always suggest such big publisher. So to resolve such handwork of finding a good journal is resolve by applying following set of operations:

Submit Your Paper  / Check Publication Charges

  • List relevant journals of author research area.

  • Check publication fees of each journal and filter those which are affordable.

  • Do not go with Free / unpaid journals as those journals are very competitive and need long time to review.

  • Check current publication of volume and issue of each journal as sometime publisher do publication with an objective to publish in particular field.

  • Check review process steps with time as well. Some of publishers takes months to review paper.

  • Further read publication author guidelines as many of publisher reject submitted just because that paper is not in prescribed format.

Best International Journals to Publish Research Papers

Take advice from the mentor or some other senior research fellow to know more about journal. It is always suggest not to submit same paper copy in more than one journals. People who are looking for Best International Journals to Publish Research Paper should also check content and flow of the paper does that flow matches the desired publisher published paper flow. In some of papers writing literature survey is different for each publisher some are focusing on the flow of paper like a story other finds the journey of research done so far. To get good publication in less tie always try to submit good length paper that explains all set of work with example and visuals. Publisher are desired to get the paper but that should match the journal requirement so more of readers get attract towards the journal issue. In few of journal that takes extra charges to reduce the review time those journals are not always bad, as publication body has to generate funds for the journal survival.

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Design and Development of Exam Kit for Children with Dysgraphia Disorder

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Design and Development of Exam Kit for Children with Dysgraphia Disorder/strong>
Authors:-Pavana A, Rakshitha G A, Sahana Shirishail Patil, Nagesh P, Dr. Jenitta J

Abstract- Children with Dysgraphia, a learning disorder that affects handwriting and fine motor skills, face significant barriers to academic progress and confidence building. This project introduces a novel. By integrating a Raspberry Pi with Optical Character Recognition (OCR) and advanced machine learning algorithms, the system provides precise, real-time feedback on let- ter formation, spacing, and stroke direction. The kit incorporates an intuitive interface, supported by a TFT display, QPC 1010 camera, and peripheral devices, ensuring accessibility and ease of use.To enhance engagement, gamified learning elements are in- tegrated, fostering an enjoyable and motivational environment for skill development. The system seeks to increase self-confidence, enhance motor coordination, and improve handwriting accuracy. By establishing a connection between technology and education. This project provides a portable and scalable solution for schooling that enables kids with dysgraphia to overcome obstacles and succeed academically.

DOI: 10.61137/ijsret.vol.10.issue6.395

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