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676 articles for “lever”
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The BambooBuddy: An AI-powered Chatbot for Enhancing Bamboo Yield in India
Abstract: Bamboo farming is essential for sustainable agriculture and environmental preservation. This project presents BambooBuddy, a chatbot developed to assist farmers and surveyors in managing bamboo-related inquiries. The system leverages a structured dataset stored in recommendations.csv to provide precise and relevant recommendations based on user queries. By utilizing the flask framework for web development and incorporating Cohere’s natural language processing capabilities, BambooBuddy facilitates seamless interaction and enhances user experience. The chatbot …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 12–18 Read article
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Harnessing the Power of Big Data for Personalized Marketing
Abstract: In today’s digital age, big data has revolutionized the way businesses engage with customers, driving a shift from traditional blanket marketing strategies to highly personalized campaigns. By examining large volumes of data gathered from various sources like social media, websites, and transaction records, companies can gain valuable insights into consumer behavior, preferences, and buying patterns. Personalized marketing leverages these insights into craft-tailored experiences that resonate with individual customers. For instance, …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 19–22 Read article
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Tomato Food Delivery
Abstract: Tomato food delivery systems face numerous challenges, such as duplicate documents, lack of security, and insufficient transparency. This paper proposes a solution using the MERN (MongoDB, Express.js, React, Node.js) stack to address these issues by creating an electronic public administration system that ensures secure, transparent, and efficient record-keeping. Leveraging MongoDB, the proposed system, automates the maintenance of records and registration documents, utilizing a consensus-based contract for streamlined loan settlement processes …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 12–19 Read article
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AI-Driven Promotion Platforms: Increasing Customer Engagement in Banking
Abstract: Artificial Intelligence has been in talk since data was considered as an asset. Using this data, prolific information has been extracted to gather detailed information and create datasets. Artificial intelligence is shaping the narrative of the world in the 21st century. It has become a driving force behind innovation, influencing various industries and redefining traditional practices. Artificial intelligence has revolutionized customer engagement strategies across industries, particularly Banking. This study explores …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 87–92 Read article
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Bringing Serverless Edge Computing to School Administration: Challenges and Opportunities
Abstract: Serverless edge computing is revolutionizing app development by creativity in infrastructure management. However, traditional cloud-based serverless architectures can suffer from latency and reliability issues when serving users at the edge of the network. While edge computing brings storage and computing closer to data sources, upgrading performance and reducing network issues. This paper explores the convergence of serverless edge computing, examining the opportunities and challenges that arise from this integration. Delving …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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Innovative strategies in capsule formulation from concept to market
Abstract: Innovative strategies in capsule formulation have revolutionized drug delivery and nutraceutical development, offering advanced solutions from initial concept to market release. This report explores the transformative techniques at each stage of capsule formulation, detailing novel approaches in ingredient selection, encapsulation technology, and manufacturing processes. By leveraging advancements in artificial intelligence, encapsulation methods, such as liposomal and nanoparticle technologies, and materials science, formulators can optimize the bioavailability, stability, and targeted delivery …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article
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The Evolution of Ion Propulsion Systems: A Comprehensive Review of Technologies and Applications
Abstract: Field-Emission Electric Propulsion (FEEP) represents a cutting-edge advancement in electric propulsion systems, leveraging the principle of ion emission through intense electric fields to generate precise and efficient thrust for spacecraft. This study explores the working mechanisms, performance characteristics, and applications of FEEP thrusters in the context of modern space exploration. FEEP systems utilize liquid metals, such as cesium or indium, as propellants, which are ionized at the emitter tip and …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 1, 2025 · pp. 16–22 Read article
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An Evidence Based Analytical Study on Capability of ChatGPT in Advanced AI Based Patient Drug Counseling
Abstract: The application of ChatGPT in providing drug counseling to patients offers the best approach to enhancing policies of healthcare support in decision-making. Aim and Objectives: The present study mainly involves an evaluation of the capability of ChatGPT in the management of drug counseling among patients suffering from various metabolic disorders. Methodology: The present study was a community-based interventional study conducted for a period of 12 months from October 2023 to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 8–13 Read article
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Real-Time Ocean Monitoring and Early Warning Systems with IoT Technology
Abstract: The increasing frequency of extreme weather events, rising sea levels, and threats to marine biodiversity This paper explores the application of IoT in enhancing real-time ocean monitoring and early warning systems, focusing on the deployment of smart sensors, connected buoys, and data analytics to collect key parameters such as temperature, salinity, pH, and wave activity. To preserve and responsibly utilise the seas, oceans, and marine resources in support of sustainable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 13–24 Read article
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Ensuring Data Traceability Across Multiple Cloud Environments
Abstract: This study investigates the challenges and solutions for ensuring data traceability across multiple cloud environments. With organizations' increasing reliance on cloud infrastructure, maintaining data traceability is crucial for compliance, data integrity, and secure data management. The diversity of cloud systems, spanning public, private, and hybrid models, introduces complexities in tracking data lineage, access, and movement. This study delves into multi-cloud strategies' technical and operational hurdles, such as varying data formats, …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 08–22 Read article
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Algae as Bio-Fertilizer
Abstract: Bio-fertilization represents a sustainable agricultural practice that leverages bio-fertilizers to enhance soil nutrient levels, thereby increasing agricultural productivity eco-friendly and feasible substitute for pollution-free agricultural applications, soil microflora has been used to increase biomass production and improve soil fertility. Numerous cyanobacteria, including species like Oscillatoria angustissima, Nostoc sp., and Anabaena sp., are known to be efficient nitrogen-fixing biofertilizers. Acuteodesmus dimorphus, Spirulina platensis, Chlorella vulgaris, Scenedesmus dimorphus, Anabaena azolla, and Nostoc …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 1, 2025 · pp. 32–41 Read article
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Statistical Methods in Law: Analysing Trends and Patterns in Judicial Outcomes
Abstract: The research paper explores the integration of statistical techniques within the domain of legal science, emphasizing their role in assessing and interpreting ongoing trends. By employing methods such as descriptive statistics, inferential statistics, and multivariate analysis, the study highlights how empirical data can effectively uncover disparities in areas like sentencing practices, risk assessments, and the evaluation of policy outcomes. These statistical tools enable researchers and legal professionals to identify patterns, …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 32–36 Read article
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Quantitative Approaches to Legal Decision-Making: The Mathematics of Justice
Abstract: The research paper examines the application of quantitative approaches to decision-making in legal systems, presenting the concept of "mathematical justice." As legal systems grow increasingly complex, the adoption of statistical and data-driven methods can provide valuable insights, offering clarity and consistency to judicial processes. By leveraging these methods, courts and policymakers can make more informed, evidence-based decisions, enhancing both fairness and accountability within the justice system. The paper is divided …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 27–31 Read article
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Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix
Abstract: Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 34–46 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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AI Activity to Enhance Productivity, Creativity, and Sustainable Development of AI in Healthcare
Abstract: The application of artificial intelligence (AI) in healthcare is revolutionizing the industry by fostering both productivity and creative approaches to patient care and medical research. This study explores how artificial intelligence (AI) is reshaping healthcare by streamlining workflows, improving diagnostic precision, and supporting personalized treatment plans. AI-powered technologies are reshaping the way medical professionals approach patient care, providing tools that not only automate routine administrative and clinical tasks but also …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 21–29 Read article
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AI: Revolutionizing Pharmacy Practice and Enhancing Patient Care and Safety
Abstract: The use of artificial intelligence (AI) in pharmacy is transforming medication management, improving patient care, and boosting safety. By leveraging cutting-edge technologies, such as machine learning, natural language processing, and predictive analytics, AI enables pharmacists to develop personalized treatment plans and anticipate possible adverse drug reactions. AI-driven systems enhance operational efficiency by streamlining inventory management, prescription processing, and administrative duties, allowing pharmacists to devote more time to patient care. Additionally, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 13–20 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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The Pursuit of Passion: Navigating Career Choices in Today’s Competitive Landscape
Abstract: In today’s world, it’s common to see people chasing after name, fame, and wealth. While there’s nothing inherently wrong with ambition, this persistent pursuit often comes at the expense of genuine happiness, fun, and enjoyment. This is particularly evident among teenagers, who face immense pressure from their parents, peers, and societal expectations. Parents often place their unfulfilled dreams and aspirations onto their children, hoping they will achieve swift success and …
Published in International Journal of Children · Vol. 2, Issue 1, 2025 · pp. 32–36 Read article
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Mathematical Models of Agricultural Cycles in Tribal Astronomy
Abstract: This paper delves into the intricate connection between traditional tribal agricultural practices and astronomical observations, showcasing how indigenous communities have historically relied on celestial movements to guide essential farming activities. By observing the phases of the moon, solar cycles, and the positions of star constellations, tribes have developed precise methods for determining the optimal timing for planting, harvesting, and seasonal planning. These astronomical practices are deeply embedded in their cultural …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 9–17 Read article