Authors: Ritu Mewade, S.S. Kushwaha

Abstract: Soil stabilization has become an increasingly vital aspect in modern Civil Engineering. Stabilizing soils using Cement, Fly-Ash, and GGBS offers an affordable and effective solution, applicable to a variety of soil types. Black Cotton soils, known for significant volume fluctuations with changes in moisture content, expand when moisture is added and contract when dried. By incorporating these materials, the stability and engineering properties of such soils can be enhanced. This project aims to evaluate the benefits of stabilizing Black Cotton soil with Cement, Fly-Ash, and GGBS. The use of industrial by-products like Fly-Ash and GGBS not only strengthens the soil but also reduces costs. The effectiveness of these stabilizers will be assessed through Standard and Modified Proctor tests. A comparative analysis of the test results will determine the optimal quantities of these materials needed to achieve maximum soil stability.

DOI: https://doi.org/10.5281/zenodo.17304393

Published by: vikaspatanker

Authors: Kunal Kartik

Abstract: Training convolutional neural networks (CNNs) from scratch using small data sets tend to suffer from over fitting with poor generalization therefore making the models to perform poorly in real world applications. This study examines the effectiveness of transfer learning through the exploitation of pre-trained CNN models and tuning the same to perform classification based on limited data. We measure the performance of popular architectures, including VGG16, ResNet50, and InceptionV3 on several small-scale datasets, including medical imaging and fine-grained object recognition. Systematic layer freezing, targeted fine-tuning, and data augmentation as a part of our methodology are aimed at increasing generalization. As the result shows, training transfer beats training from scratch significantly with fine-tuned models managing to gain up to 25% more accuracy and increased robustness over validation folds. Competitive results were obtained with feature extraction where little fine-tuning was done, which explains its usefulness with limited computational resources. The findings reiterate the value of transfer learning as an applicable solution to small datasets issues, and peers into the best strategies of fine-tuning CNN for data sparse environments.

Published by: vikaspatanker

Authors: Ritu Mewade, S.S. Kushwaha

Abstract: Soil stabilization has become an increasingly vital aspect in modern Civil Engineering. Stabilizing soils using Cement, Fly-Ash, and GGBS offers an affordable and effective solution, applicable to a variety of soil types. Black Cotton soils, known for significant volume fluctuations with changes in moisture content, expand when moisture is added and contract when dried. By incorporating these materials, the stability and engineering properties of such soils can be enhanced. This project aims to evaluate the benefits of stabilizing Black Cotton soil with Cement, Fly-Ash, and GGBS. The use of industrial by-products like Fly-Ash and GGBS not only strengthens the soil but also reduces costs. The effectiveness of these stabilizers will be assessed through Standard and Modified Proctor tests. A comparative analysis of the test results will determine the optimal quantities of these materials needed to achieve maximum soil stability

DOI: http://doi.org/10.5281/zenodo.17304393

Published by: vikaspatanker

Authors: Hannah Sholapur

Abstract: This paper examines the rising problem of online gambling among teenagers in India. With easy access to betting and gaming apps, many adolescents face growing financial, mental, and social risks. The study discusses how outdated laws and poor enforcement make it easier for young people to fall into gambling traps. It also looks at the emotional impact of addiction and suggests practical policy solutions that combine stronger regulation, awareness, and technology. Finally, the paper highlights the importance of financial literacy programs like Project Ardhika in helping students make responsible choices and avoid risky financial behavior.

DOI: http://doi.org/10.5281/zenodo.17302242

Published by: vikaspatanker

Authors: Patel Mohammed Safwan, Harsh Prajapati, Jaymin Makwana, Jay Padhiyar

Abstract: Tech Farm is an integrated agritech platform devel-oped to reshape the farming ecosystem by providing farmers with direct sales opportunities, timely digital advisories, and simpli- fied access to government initiatives. By reducing intermediary influence, fostering transparency, and equipping farmers with AI-enabled insights, Tech Farm enhances profitability, sustain- ability, and digital adoption. This paper discusses the platform’s underlying design principles, architecture, operational workflow, comparative evaluation with existing agritech models, challenges, and prospects. The anticipated socio-economic benefits highlight the transformative role of technology in strengthening agricul- tural communities. Additionally, this study explores how Tech Farm can become a replicable model globally, emphasizing the integration of IoT, blockchain, and AI in bridging gaps between traditional farming and modern agricultural practices

DOI: http://doi.org/10.5281/zenodo.17301693

Published by: vikaspatanker

Authors: Mr. S. Parthiban, Mr. B. Bharathi, Mr. S. Kishore, Mr. H. Mohamed Fazil

Abstract: The evolution towards smart living environments necessitates robust and user-centric control systems that transcend the limitations of traditional manual appliances. This paper presents the design and implementation of a centralized, dual-mode Internet of Things (IoT) system for intelligent home automation. The system provides seamless control over household devices through two distinct interfaces: a web-based application for remote monitoring and management, and a voice recognition module for hands-free operation. A key architectural feature is its dual-mode functionality, which ensures continuous operation by seamlessly switching between a cloud-based (online) mode for remote access and a local (offline) mode during internet outages. The hardware prototype is centered around an ESP32 microcontroller, which interfaces with sensors and relay modules, while a Firebase cloud backend synchronizes state with a React Native frontend. The successful implementation validates a reliable, convenient, and efficient solution that enhances user autonomy and bridges the gap between conventional home management and modern intelligent control systems. This work contributes a practical framework for developing resilient and accessible smart home technologies.

DOI: http://doi.org/10.5281/zenodo.17301332

Published by: vikaspatanker

Authors: Aneesh Sai Grandhi, Allan Saldanha, Anjali Heda, Vrushabh Brahmbhatt, Dr. Vanishree K

Abstract: Cloud computing typically means the availability of computational resources such as software, storage, servers and networks on-demand. Such models allow users to access and use resources without any need to own or manage physical infrastructure. The pricing models for these cloud platforms is one of the challenges in the field of cloud computing. Research is being carried out in order to determine the best mechanism for pricing models that cloud providers can adopt and set fair prices for the services offered.

Published by: vikaspatanker

Authors: Shravan Kumar Reddy Padur

Abstract: Post-merger integration (PMI) remains one of the most challenging aspects of mergers and acquisitions. While financial and strategic objectives dominate public announcements, it is the integration of IT systems—ERP platforms, HR applications, customer management, and data infrastructures—that often determines success or failure. Historical evidence shows that IT mismatches can delay synergy realization, inflate costs, and even derail mergers altogether. Until the mid-2010s, PMI processes were largely manual, dependent on siloed IT teams, bespoke scripts, and protracted ERP harmonization projects. This often resulted in multi-year integration timelines and recurring risks of disruption. By 2025, however, advances in automation, DevOps, integration platforms as a service (iPaaS), observability frameworks, and generative AI (GenAI) have transformed PMI into a structured, programmable process. Today, automation-first strategies enable IT leaders to consolidate infrastructures, migrate workloads, and enforce governance with reduced reliance on manual oversight. This paper reviews the evolution of PMI strategies from 2010 to 2025, highlights automation-driven blueprints, presents emerging GenAI and agentic AI applications, and examines challenges and future trajectories.

DOI: https://doi.org/10.5281/zenodo.17292252

 

Published by: vikaspatanker

Authors: Shravan Kumar Reddy Padur

Abstract: Enterprise IT teams increasingly seek platforms that allow developers and operations staff to deliver solutions without lengthy provisioning cycles, as delays in provisioning can undermine agility, competitiveness, and customer satisfaction. Oracle Application Express (APEX), when paired with Oracle REST Data Services (ORDS), provides a powerful low-code environment that accelerates the creation of self-service portals while ensuring secure and governed access to enterprise data. By 2018, the platform had advanced significantly, introducing REST-enabled SQL for seamless data exchange, Oracle JET-based visualization for modern, responsive interfaces, and tighter integration with cloud-native deployment models—shifting its role from a lightweight departmental tool into a strategic enterprise platform. These capabilities enabled organizations to foster a culture of innovation, empower non-specialist developers, and reduce the workload on centralized IT teams. This article examines how APEX self-service applications contribute to enhanced developer productivity, operational efficiency, and alignment with contemporary DevOps and SRE practices, with supporting architectural diagrams highlighting the progression from traditional production topologies to secure, cloud-based deployments.

DOI: https://doi.org/10.5281/zenodo.17292089

 

Published by: vikaspatanker

Authors: Shravan Kumar Reddy Padur

Abstract: Enterprises in the early 2000s relied on static perimeter firewalls, monolithic rule sets, flat subnetting structures, and heterogeneous operating platforms that were adequate for client–server models but quickly proved fragile under the accelerating demands of virtualization, mobility, and regulatory compliance. These limitations gave rise to the imperative of network modernization, a process that is far more than a routine technical refresh and instead represents a strategic transformation. Modernization encompasses the redesign of firewall policies into layered and abstracted models to reduce misconfiguration risks, the re-architecture of subnetting schemes into hierarchical and modular structures to improve scalability and control, and the orchestration of cross-platform upgrades that integrate virtualized and legacy systems while maintaining resilience. Drawing from research and practice between 2000 and July 2016, this article synthesizes how organizations adopted abstraction frameworks, distributed enforcement mechanisms, and virtualization-aware network interfaces to create adaptive infrastructures. Three representative figures are used to contextualize this transformation: (1) abstraction in firewall management, (2) virtualization-driven network interfaces, and (3) distributed firewall topologies. The analysis underscores that modernization is not a tactical exercise but a governed, programmatic shift that depends on repeatable processes, structured governance, and incremental execution to sustain long-term enterprise agility and security.

DOI: https://doi.org/10.5281/zenodo.17291987

 

Published by: vikaspatanker