Category Archives: Uncategorized

Authors: Khushboo chandra, Dr. Harbansh dixit

Abstract: The incorporation of Artificial Intelligence (AI) in judicial processes is perhaps the greatest technological innovation which has impacted legal systems globally. In India, there has been an increasing trend among the judicial systems towards adopting new technologies in order to increase efficiency, transparency, accessibility, and administration of justice. With the incorporation of technologies like e-Courts, virtual court sessions, electronic case management systems, and AI-enabled legal research tools, the groundwork has been laid for a technology-driven mechanism for administering justice. However, AI has not been adopted to replace judicial decision-making process in India but has been used to assist judges, lawyers, researchers, and court staff in performing monotonous and data-intensive tasks. These trends have become even more pertinent considering the huge number of pending cases and increasing need for justice.The present work will discuss how the use of AI has evolved in the Indian judicial system by considering the technological advancements made so far, judicial reforms, legal issues arising therefrom and possible future scenarios. The study will explore the benefits and risks associated with the use of AI in improving judicial efficiency in India. This study will adopt a doctrinal approach to qualitative research through constitutional provisions, court judgments, policies, government reports, and scholarly work. It contends that AI should only be viewed as assistive technology and not as something that should replace human judges.

DOI: https://doi.org/10.5281/zenodo.23279967

Published by: vikaspatanker

Authors: Ms. Tejaswini Angre, Aryan Dass, Dev Thakker, Nirvaan Shah, Priyansh Jain, Tanya Prabhakar

Abstract: Operations Research (OR) is a scientific and analytical approach used to solve complex problems and support effective decision-making in real-life situations. It applies mathematical models, statistical techniques, optimization methods, and computational tools to identify the best possible solutions under given constraints. Operations Research has a wide range of applications in various fields, including healthcare, transportation, supply chain management, manufacturing, finance, agriculture, and education. In healthcare, it helps optimize hospital resources and patient scheduling. In transportation, it assists in route planning, traffic management, and reducing travel costs. In industries, it improves production planning, inventory control, and resource allocation. Similarly, businesses use Operations Research to minimize costs, maximize profits, and improve overall efficiency. This study explores the practical applications of Operations Research in real-life scenarios and highlights its importance in solving problems, utilizing resources efficiently, and improving organizational performance. The application of Operations Research enables individuals and organizations to make informed, data-driven decisions and achieve better outcomes in an increasingly complex and competitive environment.

DOI: https://doi.org/10.5281/zenodo.23276409

Published by: vikaspatanker

Authors: Ankit Kumar, Bhuvaneshwaran V, Maheshwaran C, Thulasidass M

Abstract: Modern e-commerce platforms contain millions of products, making it increasingly difficult for customers to discover products that match their individual requirements. Traditional recommendation systems primarily depend on collaborative filtering, product popularity, or keyword-based search. Although these techniques are useful, they may perform poorly when users have limited interaction histories, when products are newly introduced, or when customers express their requirements using natural language.This paper presents ShopMind AI, an intelligent e-commerce recommendation and semantic search framework designed to combine multiple sources of information within a unified per-sonalization architecture. The proposed framework integrates user preferences, historical interactions, product attributes, behavioral signals, semantic product representations, and con-textual search information. A hybrid recommendation strategy combines collaborative signals, content-based similarity, pop-ularity information, and semantic similarity. In addition, a transformer-based semantic representation layer enables users to search for products using natural-language descriptions rather than relying exclusively on exact keyword matching. The architecture also supports product comparison, price-related information, personalized recommendations, explain-able recommendation signals, and scalable vector-based re-trieval. The paper describes the system architecture, data-processing pipeline, recommendation model, semantic-search mechanism, evaluation methodology, scalability considerations, and potential future improvements. The proposed framework is intended to provide a practical foundation for developing more intelligent and user-centered e-commerce applications.

DOI: https://doi.org/10.5281/zenodo.23263005

Published by: vikaspatanker

Authors: Yusuf Ahmad, Lucia D Ambruoso, Pamela Abbotta

Abstract: – Background: Health research widely promotes community engagement and involvement, yet no previous studies have examined approaches, operationalisation, and efficiency across disciplines and regions. Methods: We conducted a scoping review with Joanna Briggs Institute guidance and reported in line with PRISMA-ScR. We searched Google Scholar, MEDLINE, EMBASE and CINAHL, and sampled grey literature from relevant organisational websites. We included empirical health research and grey literature published in English (January 2015–June 2025). References were screened against the inclusion criteria, and relevant data were extracted and charted deductively against Arnstein’s Ladder of Citizen Participation. Results: No grey literature met the inclusion criteria. Twenty-four peer-reviewed publications were included. 16 engagement approaches were identified. Diverse, yet context-specific. There is a noteworthy overlap in approaches, designs and methods. 87.5% were qualitative, 8.3% quantitative, and 4.16% mixed-methods. 79.5% were used to report findings from a research project, and 21% were used to discuss the process and practice of community engagement itself. The evidence base was geographically concentrated in sub-Saharan Africa (n=18), with limited representation from Latin America and other LMIC regions. 87.5% have engagement consistent with “citizen power” (partnership, delegated power, or citizen control), with communities participating as partners or having substantial influence over the direction of engagement, yet tokenistic practices persist. Conclusions: CEI in LMIC empirical health research is feasible and often substantive, but reporting and evaluation are inconsistent, and equity gaps persist. A clearer taxonomy, transparent documentation of decision rights and resourcing, and pragmatic measures of CEI quality and impact are required.

DOI: http://doi.org/10.5281/zenodo.23255715

Published by: vikaspatanker

Authors: Mashiba Alfred Kalaba, Dr. C. Maria Ugin Joseph

Abstract: The study investigated the use of graphical methods by teachers when teaching coordinate geometry in Zambian secondary school to be specific in Chainda, Chalimbana and Chongwe secondary schools in Chongwe district Lusaka province. Coordinate geometry is an important topic in mathematics that connects algebra and geometry through graphical representations. However, many learners experience difficulties in understanding the topic due to abstract teaching approaches. The study examined how teachers apply graphical techniques, the challenges they encounter, and the effects of graphical methods on learners’ understanding. A descriptive research design was used. Data were collected from mathematics teachers and learners through questionnaires, interviews and classroom observations. Findings reveal that graphical methods improve learners’ conceptual understanding, engagement, and performance in coordinate geometry. However, limited teaching resources, insufficient teacher training and time constraints hinder effective use of graphical approaches. The study recommends increased teacher training, provision of teaching aids and integration of digital tools such as GeoGebra to enhance the teaching of coordinate geometry.

DOI: http://doi.org/10.5281/zenodo.23212369

Published by: vikaspatanker

Authors: K. Prathip, G. suresh

Abstract: This study evaluates the seismic response of a G+15 reinforced-concrete framed building for three geometric configurations: a setback building on level ground, a step-back building on 30° sloping ground, and a step-setback building on 30° sloping ground. Three-dimensional models were analysed in STAAD.Pro using the equivalent static lateral-force method and linear time-history concepts in accordance with the source study's IS 1893:2002 framework. The comparative assessment covers storey drift, storey shear, time period, displacement, and column actions including shear force, bending moment, torsion and axial force under critical load combinations. The results demonstrate strong sensitivity of seismic response to vertical and plan irregularity and to the change in column geometry caused by sloping terrain. The setback configuration develops comparatively larger tensile moments in several critical cases, while short columns in the step-back and step-setback configurations require particular design attention. The complete numerical result tables, response curves, model views and comparative plots from the project study are retained in this manuscript to support transparent comparison among the three configurations.

DOI: http://doi.org/10.5281/zenodo.23211320

Published by: vikaspatanker

Authors: Rohit Agnihotri.

Abstract: The rapid proliferation of cloud-native environments, decentralized workforces, and API-driven architectures has exposed critical limitations in conventional Identity and Access Management (IAM) systems. This article examines the emergence of Agentic Artificial Intelligence (AI)-driven IAM frameworks as a transformative paradigm for enterprise security. Drawing on empirical data from industry reports, peer-reviewed studies, and real-world deployment analyses, we evaluate the architecture, operational benefits, risk dimensions, and governance requirements of AI-powered IAM systems. Our findings indicate that agentic AI integration yields measurable improvements across breach detection (up to 87%), provisioning speed (82%), and compliance automation (91%), while simultaneously introducing novel challenges in auditability, model explainability, and adversarial robustness. We propose a multi-layered governance model and research agenda to guide responsible adoption.

DOI: https://doi.org/10.5281/zenodo.23209786

Published by: vikaspatanker

Authors: Renuka Kantilal Thange, Dr. Hitesh Sharma

Abstract: The rapid advancement of Artificial Intelligence (AI) is transforming professional photography by introducing intelligent systems that assist photographers in technical and creative decision-making. While AI-powered tools have significantly improved image enhancement and editing, limited research has explored their collaborative role in professional toddler photography, where creativity, lighting precision, child comfort, and safety are equally important. This study proposes a Human–AI collaborative framework that integrates intelligent lighting systems with the expertise of professional photographers to optimize lighting selection during toddler photography sessions. The research examines how AI-assisted recommendations can support decisions regarding natural, artificial, and hybrid lighting environments while maintaining the photographer's creative control. A mixed-method research design is proposed, involving professional photographers and parents to evaluate image quality, creativity, workflow efficiency, toddler comfort, and overall photographic outcomes. The study aims to demonstrate that Human–AI collaboration enhances decision-making rather than replacing professional expertise. The proposed framework contributes to intelligent photography practices by combining computational intelligence with artistic creativity and offers practical guidelines for integrating AI into professional toddler photography.

DOI: https://doi.org/10.5281/zenodo.23205864

Published by: vikaspatanker

Authors: Professor (Dr.) Lalith Kumar Dharavath

Abstract: Modern law enforcement agencies face the dual challenge of managing complex public safety threats while maintaining strict institutional accountability. This paper explores the integration of artificial intelligence (AI), automation, and advanced digital tools within modern policing frameworks. By analyzing current implementations—including predictive policing algorithms, automated facial recognition, automated license plate readers (ALPRs), and AI-driven evidence management systems—this study assesses how these technologies enhance operational efficiency, accelerate response times, and optimize resource allocation. Furthermore, the paper addresses critical systemic challenges, specifically targeting algorithmic bias, citizen privacy concerns, data security vulnerabilities, and the regulatory frameworks required to govern automated decision-making. Ultimately, this research provides a balanced framework for law enforcement executives and policymakers, demonstrating how agencies can leverage cutting-edge technical innovation while upholding the core principles of ethical, transparent, and community-oriented justice.

DOI: http://doi.org/10.5281/zenodo.23184750

Published by: vikaspatanker

Authors: Nweke James, Emenike Wami, Awajiogak Anthony Ujile, T.O. Goodhead

Abstract: This study investigates biogas production from water hyacinth (Eichhornia crassipes) through anaerobic co-digestion with cow dung in order to enhance methane yield and process stability. Experiments were conducted in 18.9 L batch digesters operated at 75% working volume, an organic loading rate of 3.5 g VS L⁻¹ day⁻¹, and a hydraulic retention time of 70 days under mesophilic conditions (29–38 °C). Six feedstock configurations were evaluated, comprising mono-digestion of water hyacinth and five water hyacinth–cow dung co-digestion ratios. Mono-digestion of water hyacinth produced 42.3 L kg⁻¹ VS, while the optimal 2:1 water hyacinth–cow dung ratio achieved the highest cumulative biogas yield of 54.9 L kg⁻¹ VS, representing a 29.8% increase. Biogas upgrading using a three-stage purification system (ferric oxide, sodium hydroxide, and silica gel) increased methane concentration from 60.05% to 86.02%, yielding a calorific value of 31.46 MJ m⁻³. Kinetic modelling based on coupled first-order hydrolysis and Monod microbial growth equations showed excellent agreement with experimental data (R² = 0.984, RMSE = 0.263 L). The results demonstrate that anaerobic co-digestion of water hyacinth with cow dung provides an efficient, environmentally sustainable pathway for renewable energy generation while simultaneously addressing aquatic weed management challenges.

DOI: https://doi.org/10.5281/zenodo.23182991

Published by: vikaspatanker