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1966 articles for “modelling” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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The Rise of Fractional Calculus: Novel Applications in Engineering and Biological Systems
Abstract: Fractional calculus (FC) is an advanced mathematical framework that generalizes the classical concepts of differentiation and integration to non-integer, or fractional, orders. This extension of traditional calculus allows for the modeling of complex dynamic systems that exhibit behavior not easily captured by integer-order differential equations. Over the last few decades, fractional calculus has seen a rapid rise in popularity, particularly in applied mathematics, engineering, and biological sciences, due to its …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 7–11 Read article
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Remote Sensing and GIS-Based Approaches for Groundwater Contamination Assessment: A Comprehensive Review of Methods, Sources, and Emerging Trends
Abstract: Groundwater contamination poses a serious threat to sustainable water resources, especially in developing regions with limited monitoring infrastructure. This review provides an in-depth analysis of remote sensing (RS) and geographic information system (GIS) techniques applied to identify, monitor, and assess groundwater contamination. The study categorizes major sources of pollution, including industrial effluents, agricultural runoff, and geogenic inputs and examines how multispectral and hyperspectral satellite data contribute to indirect mapping of …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 39–49 Read article
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Hyper Personalization Using AI: Elevate Fitness
Abstract: In the modern era, many individuals find it challenging to prioritize their health and well-being due to busy lifestyles filled with work, academic, and personal obligations. Conventional fitness and nutrition programs often apply uniform strategies that overlook individual differences in body type, preferences, and goals. This lack of real-time feedback and contextual customization often leads to poor user engagement and unsatisfactory results over time. Elevate is a comprehensive, AI-powered fitness …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 10–21 Read article
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A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Hydrodynamic Assessment of a Proposed FSRU Development in the Visakhapatnam Outer Harbour
Abstract: This study presents a detailed hydrodynamic assessment of a proposed Floating Storage andRegasification Unit (FSRU) in the Visakhapatnam Outer Harbour. A depth-integrated, two- dimensional hydrodynamic model was developed using MIKE-21 Flexible Mesh (FM) to quantify theinfluence of the terminal layout, dredged pocket configuration, and vessel presence on tidal circulation, freshet-driven flows, and extreme-event conditions. Baseline simulations were performed using existing bathymetry and operational geometries, followed by proposed configurations that included …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 39–49 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
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Lumped Construction Sequence for Column Shortening Analysis in High Rise Building with Outrigger System
Abstract: The exact value of column shortening is not a straightforward task. Various parameters are affected on column shortening results like rate of construction sequence and reinforcement ratio. The building should stand with high stiffness and must be able to resist lateral deformation without having discomfort to the user. The excessive drift is controlled by using outrigger system. In high rise buildings, the construction sequence analysis and conventional sequence analysis are …
Published in Recent Trends in Civil Engineering & Technology Read article
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A Comparative Study on Beam Slab and Flat Plate Building Frame under Seismic Load
Abstract: The study delves to evaluate the performance of beam slab and flat plate slab in the building frame due to seismic load. Two models of the same layout plan and story levels were compared under seismic load as per BNBC 2016—one was a typical frame structure with beam slab i.e., model 1 and another one was a frame structure with a flat slab, i.e., model 2. Frame structure with beam …
Published in Journal of Structural Engineering and Management Read article
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A Review on Structural Design Analysis and Environmental Auditing of Railways
Abstract: In the present time, Indian railway is the major transport medium. It is so efficient, economic, and services are moderate eco-friendly technology. Changes are on the basis of engineering, logistics, time and luxury. The new structure has faced lots of challenges and every day demands led to some changes day to day. In so many years of Indian railway the tracks are challenging and quite tough which carries lots of …
Published in Journal of Energy, Environment & Carbon Credits Read article
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To Propose an Effective Process for Refurbishment Projects: through BIM
Abstract: Building refurbishments include enhancing, upgrading, renovating, retrofitting, and repairing existing structures. The construction sector considers it to be an important component. Building refurbishment projects are known for their high degree of complexity and uncertainty, which frequently incorporates elements like design changes and inadequate or unavailable information that may lead to various issues. Issues related to different stages of refurbishment projects were identified through literature and case studies. According to the …
Published in International Journal of Architectural Design and Planning Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Use of the Computer Statistics in Oncology
Abstract: Currently, the use of computer statistics and computer statistical modeling in oncology for obtaining an accurate diagnosis, determination of the choice of treatment method and its correction in the process of ongoing treatment, prediction of the outcome of the disease, and evaluation of the effectiveness of the chosen treatment tactics is a decisive factor. The use of computer statistics, based on an adapted scientific and statistical package of the SSP …
Published in Research & Reviews : Journal of Statistics Read article
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Design and Analysis of Engine Mount Bracket to Enhance the Crash Performance of the Engine Mounting System
Abstract: The gradual evolution of automobile industries led to rise in the competition in providing the customer with quality while riding and comfort. This compelled the designers of each component to pay close attention towards the production of high-quality components. In the present scenario of the engine mount bracket designing, the dominant parameters like design change and material change play a crucial role. In the current generation of automobiles, the chances …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 122–128 Read article
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Changes of the Function of Interstitial Cells of Cajal and Fecundity During Chronic Salpingitis: Experimental Study
Abstract: We have conducted this study to clarify the changes of the function of interstitial cells of Cajal and fecundity in chronic salpingitis white rat models which are made by infecting its vaginal cavity with Chlamydia. Background: Chlamydial infection is a sexually transmitted disease which is caused by Chlamydia trachomatis. 75% of the fallopian tube disease is thought to be due to anamnesis of asymptomatic Chlamydial infection and those who are …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 23–26 Read article
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Calorie Measurement and Food Recognition Using Machine Learning
Abstract: Nowadays, all over the world most people are suffering from different types of diseases or obesity. This is because of bad food habits or eating food without knowing the calorie and other sources from the foods. Precise techniques for gauging food and energy consumption play a vital role in addressing obesity. Offering users or patients accessible and smart solutions to assess their food intake and gather dietary information constitute valuable …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 1–9 Read article