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Daily Archives: April 15, 2025

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AI-Driven Business Intelligence and Decision Making: Turning Data into Actionable Insights

AI-Driven Business Intelligence and Decision Making: Turning Data into Actionable Insights
Authors:-Aditya Kokate/strong>

Abstract- The integration of Artificial Intelligence (AI) into Business Intelligence (BI) is revolutionizing how organizations make decisions by automating data analysis and enhancing predictive capabilities. Traditional BI systems rely on static reporting and retrospective data interpretation, limiting their responsiveness in dynamic environments. In contrast, AI-powered BI systems leverage Machine Learning (ML), Natural Language Processing (NLP), and cognitive computing to transform raw data into actionable insights. This paper explores the architecture, implementation, and impact of AI-driven BI systems, emphasizing real-time analytics, predictive modeling, and explainable AI. The study demonstrates how AI enhances operational efficiency, data accuracy, and strategic foresight, offering a competitive advantage to modern enterprises.

DOI: 10.61137/ijsret.vol.11.issue2.339

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Hand Gesture Recognition in Low-Light Environments Using Deep Learning

Hand Gesture Recognition in Low-Light Environments Using Deep Learning
Authors:-Sujal Suraywanshi, Ganesh Waje, Diya Jain, Prajyot Jagtap/strong>

Abstract- Hand gesture recognition has attracted enormous interest because of its extensive application in human-computer interaction, sign language understanding, and augmented reality. Recognizing hand gestures in low light conditions is a difficult task to achieve because the visibility is low, there are noises, and feature details get lost. Here, we propose a detailed survey of recent techniques in hand gesture recognition for low-light conditions by employing deep learning methods. We present the difficulties involved with low-light environments, such as illumination changes and background noise. In addition, we discuss different deep learning-based methods for hand detection and gesture classification and present their effectiveness in improving recognition accuracy under difficult lighting conditions. We conclude by offering a comparative assessment of these methods based on primary performance indicators like accuracy, processing time, and resistance to low-light conditions.

DOI: 10.61137/ijsret.vol.11.issue2.338

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Designing Explainable Large Language Models for Critical Decision-Making in Healthcare: A Review-Based XAI Perspective

Designing Explainable Large Language Models for Critical Decision-Making in Healthcare: A Review-Based XAI Perspective
Authors:-Roshan Nikam, Parv Shah, Anish Shinde, Chaitanyaa Kashid/strong>

Abstract- Large Language Models (LLMs) are changing the world of healthcare by simplifying clinical documentation, diagnosing, and making medical decisions. Despite their promise, the black-box-like behavior of LLMs poses severe challenges in a healthcare scenario where trust, interpretability, and accountability are of utmost importance. This paper investigates the LLM interpretability techniques in the medical domain based on the salient insights obtained from an extensive survey of Explainable AI (XAI) literature. It looks into post-hoc explanation techniques (SHAP, LIME), collaborative human-AI decision-making frameworks, and interpretable approaches such as neurosymbolic systems. Highlighted are the main issues: algorithmic bias, hallucinations, healthcare compliance, and algorithmic inefficiencies. It is posited that structured prompting, especially Chain-of-Thought (CoT) reasoning enhanced by diagnostic logic, would ensure that LLM actions, in terms of outputs and explanations, are much more in sync with clinical reasoning, thus enhancing transparency while preserving performance. It is concluded that, drawing on the insights gained from XAI, the more interpretable LLMs promote clinicians’ trust in AI systems’ conduct and consequently promote ethical and effective integration into the healthcare setting. The way forward is to focus on some direction to maintain the balance between model accuracy and interpretability and cater to evolving regulatory requirements.

DOI: 10.61137/ijsret.vol.11.issue2.337

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Free Publication Fee Journals

International journals are an important source of knowledge, helping to advance research for future generations. Researchers take various steps to publish their work in different repositories, aiming for renowned journals that provide both visibility and recognition. Among them, some authors seek free publication fee journals, which offer the same benefits but at no cost.

Submit Your Paper  / Check Publication Charges

These journals follow strict evaluation measures to ensure that new researchers do not misuse resources and that low-quality papers are removed. High-quality journals that offer free publication often cover their expenses by charging subscription fees from readers rather than from authors.

Journals can be categorized based on free and paid publication charges. However, obtaining all the benefits in both types is not always possible. Paid journals streamline the publication process, making it faster and more efficient. In contrast, free journals often require authors to be patient, as the review process takes longer, and revisions must be made according to reviewer comments.

Some benefits of paid publication include:

  • Responsive publishers with multiple communication channels, including email and phone support.
  • Formatting assistance, allowing authors to focus on research and improving their paper content.
  • Active reviewer follow-ups, with the option to change reviewers if feedback is delayed.
  • Free access to readers, ensuring global visibility, which is a key advantage over free journals.
  • Well-maintained journal portals, updated to meet search engine requirements, resolving technical issues efficiently.

Most mentors serve as reviewers in different journals, but due to their busy schedules, finding time to review papers and follow up on author updates can be challenging. Some journals have a limited pool of reviewers and are constantly in need of new reviewers to verify and evaluate papers. This is one of the limitations of free publication fee journals.

Free Publication Fee Journals

This article helps scholars understand the limitations of free journals and the advantages of paid journals, allowing them to make informed decisions based on their academic and research requirements. Additionally, if a paper is of high quality and covers a novel research topic, it is more likely to be cited by others, further expanding the research domain.

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Development and Modification of Waste Paper Recycling Machinese

Development and Modification of Waste Paper Recycling Machinese
Authors:-Mo Mohseen

Abstract- Paper is used daily with learning institutions such as universities and schools being the main consumers. Due to its single usage it ends up being disposed hence most of the paper waste remains idle and unutilized although it is a valuable resource. Therefore, this paper explores the design of a cheap and efficient manually operated paper recycling machine. The design used integration of acquired knowledge on the recycling technology, existing manually operated and available paper recycling machines to form a cheap but efficient paper recycling machine. The benefits of the machine are not only centered on the merits of recycling paper but by the in-cooperation of the manually driving system which will also curb the high unemployment rates in developing countries. Due to the design being not 100% efficient due to the gear box, belt and chain transmission, the estimated efficiency is equal to 90% but using the 90% for design, the design power input is 450 watts and since an average person can produce 100 Watts constantly therefore 2 people are necessary to drive the machine.

DOI: 10.61137/ijsret.vol.11.issue2.336

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