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1161 articles for “Analytical”
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Fractional Homotopy Analysis Transform Method for a Fin Having Temperature Dependent Internal Heat Generation
Abstract: Fractional Homotopy Analysis Transform Method (FHATM) is a new analytical tool for solving homogeneous and non-homogeneous fin equations. FHATM is a novel and innovative modification in Laplace Transform Algorithm (LTA) thus making analysis easier. Non-linear problems are solved by proposed technique without using Adomian and He’s polynomial which is a clear benefit of this new algorithm over decomposition and homotopy perturbation transform methods. This is an elementary technique which gives …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 1, 2019 · pp. 23–34 Read article
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Redefining Efficiency: Big Data Science in Supply Chain Design and Management
Abstract: The combination of resources, tools, and applications in the field of supply chain management (SCM) is rapidly expanding, creating both opportunities and challenges. The term "big data" is commonly used to refer to the large and complex sets of data that are now available. These data are believed to have the potential to improve decision making and increase profitability. To effectively analyze and utilize these data, new methods of data …
Published in Journal of Production Research & Management · Vol. 13, Issue 1, 2023 · pp. 6–10 Read article
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Enhancing Traffic Flow and Pedestrian Safety with Foot Over Bridges
Abstract: Recent advancements in foot over bridge design have seen the increased use of sophisticated analytical methods, high-quality materials, and innovative bridge concepts. Foot over bridges are becoming a popular choice in urban areas of India, providing pedestrians with a safe and convenient way to cross roads without encountering traffic. The aim of this project is to design a steel foot over bridge at VARTAK NAGAR NAKA POKHRAN ROAD NO.1, leveraging …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 30–48 Read article
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Investigate the Implication of “Self-service Business Intelligence (SSBI)”—a Big Data Trend in Today’s Business World
Abstract: Information is a life blood of any business organization. At present, the data will generate from many sources. It is scattered and unorganized in nature. To make a date meaningful, there are various data analytics tools. The data analytics are quantitative techniques and methods that can convert an unorganized data into organized and generate the meaningful information. Through information, business professionals’ can easily scrutinize the business conditions, understand the business …
Published in Current Trends in Information Technology · Vol. 10, Issue 1, 2020 · pp. 17–22 Read article
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Emerging Technologies Big Data and Cloud
Abstract: Cloud computing is a effective and rising generation to carry out large and complicated computing. It affords a such an surroundings that's reliable & fault tolerant to haven massive information disbursed control systems. Big statistics refers back to the incapacity of vintage statistics architectures to address new statistics units efficiently. In the current times, exceptional boom has been determined in massive statistics domain, generated thru cloud computing. Big statistics remedy …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 16–22 Read article
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Maths and Artificial Intelligence: Parallel Yet Intersecting Approach in School Curriculum
Abstract: Understanding students' level of math and working with them in handling their doubts, queries, deciding how they want to approach math, not only as a subject, but a way of interpreting it, thinking, living it, in a less stressed, anxiety and unnecessary troubles around it, which are generally there. We are studying uses of Artificial Intelligence (AI) in diagnosis of current standing of level of math in students and then …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 24–30 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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MedVerse AI: An Intelligent Digital Health Platform for Patient-Centric Healthcare and Proactive Disease Prediction
Abstract: The rapid digitization of healthcare has led to an unprecedented growth in medical data, ranging from diagnostic images and laboratory reports to electronic health records and clinical notes. Despite this abundance, patients and healthcare providers often struggle to extract meaningful insights due to data complexity and fragmentation. MedVerse AI proposes an intelligent digital health platform that unifies medical image analysis, clinical report interpretation, real-time interaction, and predictive disease analytics into …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 2, 2026 · pp. 1–7 Read article
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Artificial Intelligence for Polymer and Nanocomposite Materials: Performance Prediction, Manufacturing Optimization, and Future Perspectives
Abstract: The exceptional mechanical properties, design flexibility, and lightweight nature of polymer composite and nanocomposite materials make them indispensable in a wide range of applications, including aerospace, automotive, construction, biomedical, and energy sectors. The optimization of the strength, durability, and manufacturing efficiency of polymer composite and nanocomposite materials is highly challenging because their performance depends on matrix composition, reinforcement type, fiber or nanoparticle distribution, interfacial interactions, processing conditions, and environmental factors. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Driven Dairy Ledger: Enhancing Efficiency with Machine Learning
Abstract: The dairy business nevertheless has ongoing difficulties with financial management, record-keeping, and operational effectiveness, which frequently lead to resource mismanagement, human mistakes, and revenue losses. These problems are most noticeable on small- to medium-sized farms where manual labor is the primary method. This study introduces an AI-driven Dairy Ledger, a complete machine learning-powered system designed to automate and optimize key dairy functions, such as tracking cow feed orders, managing milk …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 36–46 Read article
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Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management practices. Rapid developments in computer vision (CV), machine learning (ML), deep learning (DL), natural language processing (NLP), and predictive analytics have increased the use of AI in a variety of rural industries. In agriculture, AI-driven technologies support precision farming, crop yield prediction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Accessavior: AI-Driven Real-Time Adaptive Web Interfaces for Intelligent User Experiences
Abstract: As the web has become more diverse, many traditional, one-size-fits-all web accessibility solutions that must be configured manually have proven inadequate in meeting the needs of each user. This paper introduces “Accessavior”, which is an intelligent, behavioural pattern-driven accessibility framework that can automatically customize the personalization of web interfaces based on the interaction patterns of users. The proposed system will continuously track cursor behaviours such as cursor movements, keystroke characteristics, …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 14–22 Read article
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Dynamic Price Model for E-Commerce
Abstract: Retailers may now respond to fluctuating demand, inventory levels, competitor activities, consumer traits, and market circumstances using dynamic pricing, a data-driven technique that has become more significant in e-commerce. Modern pricing systems are much more complex and responsive than they were in the past due to the fast advancements in artificial intelligence (AI), machine learning (ML), big data analytics, and reinforcement learning. This review critically examines recent developments in dynamic …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 45–55 Read article
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On the Formula for Distribution of Prime Numbers
Abstract: The detailed derivation of the distribution of prime numbers, the research result originally presented in the 2013’ monograph Study of Analytic Number Theory: Riemann’s Hypothesis and Prime Number Theorem with Addendum on Integer Partitions published with Cam- bridge International Science Publishing, is once again presented in this paper with the purpose to give an insight to unfamiliar authors.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 1, Issue 1, 2014 · pp. 16–19 Read article
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On the Riemann Hypothesis in The Light of The Littlewood Criterion of Equivalence
Abstract: In 1859, Riemann extended the Euler study onto the case of a complex variable according to then new Cauchy's complex analysis. According to his point of view, all non-trivial zeros of the Riemann zeta function are located on the critical line s=1/2+it, where t is a real number. In 1912, Littlewood presented the equivalence criterion for the Riemann Hypothesis based on the Mertens function. In this paper, the Riemann Hypothesis …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 1, Issue 2, 2014 · pp. 26–35 Read article
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Accelerating Database Application Development with JsonPowerDB: A Case Study of Student Enrollment Web Form
Abstract: This paper presents the utilization of JsonPowerDB, a developer-friendly database server with REST API services, in the context of a student enrollment web form. JsonPowerDB offers high performance, lightweight, Ajax-enabled, and serverless features, making it a powerful real-time database for dynamic websites, mobile apps, and data analytics portals. The web form was developed using frontend technologies such as HTML, CSS, JavaScript, and Bootstrap, while JsonPowerDB served as the backend for …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 8–27 Read article
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Tracer Application in Study of Reaction Kinetics using Duolite ARA-9366B and Duolite A-638
Abstract: Radiotracer isotopes 131I and 82Br were used to study the iodide and bromide ion-isotopic exchange reactions taking place in two anion exchange resins Duolite ARA-9366B (nuclear grade) and Duolite A-638 (non-nuclear grade) under different operational parameters like temperature and ionic concentration of exchanging medium. The results of present investigation indicate an existence of strong positive linear co-relationship between amount of ions exchanged and concentration of ionic solution; while existence of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 5, Issue 1, 2014 · pp. 34–44 Read article