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Explainable Prediction of Crop Disease Risk Using IoT Based Environmental Data: A Field Oriented Machine Learning Framework for Chhattisgarh
Environmental sensors can indicate conditions associated with crop disease, but a sensor reading alone cannot confirm an infection. This methodological paper develops an explainable machine learning framework for assessing rice disease risk in Chhattisgarh using time-stamped…
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Volume 14, Issue 10, October 2026
Published: 2026-09-30 Sr. Title of Research Paper/Article Author(s) e-Certificate Download Confirmation Letter 1 Explainable Prediction of Crop Disease Risk Using IoT Based Environmental Data: A Field Oriented Machine Learning Framework for…
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Blockchain-Based E-Voting System for Universities Using Secure Digital Identity Verification
Electronic voting in universities requires a careful balance among voter authentication, ballot secrecy, transparency, accessibility, and resistance to manipulation. Conventional campus election platforms generally rely on centralized databases, making election records dependent on a single administrative…
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Volume 14, Issue 9, September 2026
Published: 2026-08-31 Sr. Title of Research Paper/Article Author(s) e-Certificate Download Confirmation Letter 1 Blockchain-Based E-Voting System for Universities Using Secure Digital Identity Verification Dr Chethan H Download PDF
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Data-Driven Decision Making in Backend Engineering: Tools and Frameworks for Modern Startups
— Data-driven decision-making (DDDM) has become an essential aspect of backend engineering for modern startups, enabling informed decisions that are based on real-time data rather than intuition or guesswork. This paper explores various tools and frameworks…
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Vol. 14, Issue 08, August 2026
Published: 2026-07-31 Sr. Title of Research Paper/Article Author(s) e-Certificate Download Confirmation Letter 1 Data-Driven Decision Making in Backend Engineering: Tools and Frameworks for Modern Startups Dr. Neeraj Saxena Download PDF
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Effective Engineering Leadership in AI-Driven Startups: Bridging Technical and Strategic Goals
— Effective engineering leadership in AI-driven startups plays a crucial role in aligning technical expertise with strategic goals. As these startups focus on leveraging AI technologies, their success depends not only on the technical capabilities of…
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Leveraging Data Analytics for Personalized Audience Experiences: AI’s Role and Future Directions
— In the digital era, personalized audience experiences have become crucial for businesses and organizations aiming to enhance customer satisfaction and engagement. Leveraging data analytics in conjunction with artificial intelligence (AI) enables a dynamic and tailored…
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Engineering Management in AI-Driven Product Development: Best Practices and Case Studies
— The integration of Artificial Intelligence (AI) into product development processes has significantly transformed how products are conceived, designed, and delivered across industries. This paper focuses on exploring the best practices and case studies related to…
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Backend System Architectures for Machine Learning Applications in High-Growth Startups
— The rapid growth of startups in various industries has led to an increasing adoption of machine learning (ML) technologies. As startups scale, the need for robust backend system architectures that can efficiently support ML applications…