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1122 articles for “prediction system”
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A Critical Analysis and Evidence-Based Study on The Impact of Sensory Health Screenings and Its Risk Factors In the Prediction and Prevention of Organ Damages
Abstract: ABSTRACTSensory organs operate the senses of vision, hearing, touch, smell and taste. In order to assess the type, severity, and locations of aberrant feeling, sensory examination is utilised. If the patient complains of diminished sensation, a sensory system exam is required. The main aim is to find out the sensory changes/impairments and its risk factors predictions in prevention of organ damages and to study the role of clinical pharmacist/Doctor of …
Published in Research and Reviews: A Journal of Health Professions · Vol. 12, Issue 3, 2022 · pp. 46–62 Read article
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AI-BASED SMART RESOURCE DEMANDAND PRICE PREDICTION USING MACHINE LEARNING FOR EFFICIENT RESOURCE MANAGEMENT
Abstract: AI and machine learning models now help manage resource supplies and price changes across key Indian markets. The development and application of advanced predictive analytics in India's agriculture supply chain and wholesale energy market systems are examined here. Although agriculture occupies over 40% of India's land area, it accounts for approximately 15–18% of the national Gross Domestic Product (GDP). In order to regulate the PDS, unify land information, and optimize …
Published in Trends in Electrical Engineering · Vol. 16, Issue 3, 2025 Read article
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Modeling Reaction Rate of Dispersion Coefficient and Oxygen Deficit on Nitrobacteria Transport in Onu-Imo River
Abstract: The migration rate of nitrobacteria in the Onu-Imo River was monitored based on some variables that determine the predictive model for such pollution transport. These parameters were factors applied in developing the derived model for the study. The variables were integrated into the system to monitor their various rates of impact on the transport process in the study environment. This was monitored by applying a one-dimensional flow transport system at …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 11, Issue 1, 2021 · pp. 28–41 Read article
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Improving the Brake Efficiency of Racing Vehicle
Abstract: Aim of our project is to increase the efficiency of disc brake by doing various iterations on the disc size, brake pad material and brake oil. This project is strictly concern with disc brake of bike. At vehicles technical inspection stations, the braking system of a load-carrying vehicle is tested when the vehicle is free of any load; however, such tests do not reflect the operation of the brakes in …
Published in Journal of Automobile Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 7–10 Read article
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Thermodynamic Optimization and Exergy-Based Performance Analysis of Hybrid Thermal Management Systems for Electric Vehicles
Abstract: The transition toward sustainable transportation has brought electric vehicles (EVs) to the forefront of modern engineering innovation. Despite their environmental benefits and improved energy efficiency, EVs face major thermal challenges that affect performance, safety, and durability. Efficient thermal management of batteries, power electronics, and electric drive systems is vital to ensure reliability under diverse operating conditions. This study presents a detailed thermodynamic optimization and exergy-based performance analysis of hybrid thermal …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
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Network Security Secure Communication in Industrial Networks
Abstract: In an era dominated by rapid industrial digitization, ensuring the security of communication in industrial networks has become a critical challenge. Industrial networks, which facilitate seamless communication between machines, devices, and systems, are increasingly targeted by cyber threats that can disrupt operations, compromise sensitive data, and jeopardize safety. This article delves into the key aspects of secure communication in industrial networks, emphasizing the role of advanced encryption techniques, robust authentication …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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The Future of Electronic Communication Systems in the Digital Age
Abstract: Electronic communication networks underpin modern society, offering seamless interaction across geographical, social, and economic borders. These systems are transforming into faster, more reliable, and smarter ones as digital technologies improve. This article discusses the future of Electronic Communication Systems in the context of 5G Technology, IoT, AI, and Quantum Communication. These technologies should revolutionise data transfer by increasing capacity, lowering latency, and enabling real-time communication across platforms. Due to need …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 39–48 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
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Intelligent Big Data Processing: Optimizing Analytics Pipelines Through Ensemble Machine Learning, Distributed Computing, and Adaptive AI Architectures
Abstract: Traditional data analytics methods are facing significant challenges due to the explosive rise of digital data. Global data generation is expected to reach nearly 175 zettabytes by 2025. This puts significant pressure on existing computing infrastructure. Conventional analytics methods often struggle with scalability, processing speed, and smart decision-making. Rule-based systems and standalone machine learning models frequently cannot handle the complexity and scale of modern big data environments effectively. To tackle …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 1–11 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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A Real-Time System for Efficient Laundry Resource Allocation in University Dormitories
Abstract: Adequate management of the available resources in communal places like university dorms is important in improving the convenience of the students, and in providing optimal use of these facilities. This paper describes the design and implementation of a real-time system on efficient allocation of resources when it comes to laundry in a university dormitory. The system also seeks to counter the challenges that are prevalent among students such as long …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Industry 4.0 and Smart Manufacturing: A Review
Abstract: This review looks at Industry 4.0 and smart manufacturing's idea, enabling technologies, implementation issues, and future prospects. Drawing on recent literature, the paper synthesizes key pillars such as the Industrial Internet of Things (IIoT), cyber-physical systems (CPS), artificial intelligence, digital twins, and additive manufacturing. It highlights integration requirements across supply chains, cyber security concerns, workforce implications, and standards activities that influence adoption. The literature survey focuses on empirical studies and …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 14–17 Read article
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Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
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New Methods for the Prediction of Multiphase Flow through Wellhead Choke in Gas-Condensate Reservoirs
Abstract: Abstract The wellhead chokes are installed in order to stabilize oil and gas flow rates in production and operation disciplines. Most of the existing empirically derived correlations and predictive models to estimate choke performance have been proposed for oil fields production and operational conditions, and particularly production systems and reservoirs involved with condensation of the gaseous phase still suffer from a detailed consideration on the development of reliable predictive models. …
Published in Journal of Offshore Structure and Technology · Vol. 4, Issue 1, 2017 · pp. 1–10 Read article
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Real-Time Supply Chain Monitoring with Blockchain: A Decentralized Approach
Abstract: This study presents the development and implementation of a Blockchain-Enhanced Shipment Management and Tracking System (SMTS) to address key challenges in the logistics and shipping industry, such as inefficiencies, lack of transparency, security concerns, and high operational costs. Utilizing blockchain technology, particularly Hyperledger Fabric, the SMTS creates a decentralized, immutable ledger that enhances real-time shipment tracking, ensures data integrity, and improves security by reducing fraud and unauthorized tampering. Smart contracts …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
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A Review on Use of CFD in Combustion Modelling
Abstract: The study of the CFD in various sectors is becoming very efficient day by day. In The study of the CFD in various sectors is becoming very efficient day by day. In this paper, a review on combustion modelling is presented in detail and the future scope is also discussed. Combustion modelling has become popular because of its advanced technology and easy computational work in a wide area of application. …
Published in Recent Trends in Fluid Mechanics · Vol. 2, Issue 2, 2015 · pp. 26–32 Read article
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Simulation of Electric Vehicles DC Engine Performance
Abstract: This works develops a simulation model to predict the performance of direct current electric motors for electric vehicles (EV), mainly focused on the required power and mechanical torque as a function of the driving conditions. The simulation, therefore, has been based on the dynamic conditions of the electric vehicle to reproduce the current driving in urban routes or intercity travels. The model has been applied to synchronous and asynchronous transmission …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 3, 2021 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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Evaluating Open-Source Large Language Models for Educational Applications
Abstract: Mobile healthcare technologies generate sensitive information through electronic health records, smartphones, wearable sensors, medical imaging systems, and remote monitoring platforms. These distributed data sources can improve disease prediction, continuous monitoring, clinical decision support, and personalized healthcare, but centralized collection creates substantial privacy, security, interoperability, and data-governance concerns. Federated learning (FL) provides a distributed machine learning paradigm in which participating healthcare institutions and personal devices collaboratively train models while retaining raw …
Published in Journal of Open Source Developments · Vol. 13, Issue 2, 2026 · pp. 10–21 Read article