Search
1074 articles for “prediction system”
-
Harnessing Artificial Intelligence for Sustainable Development in Jharkhand: Environmental and Socio-Economic Perspectives
Abstract: Jharkhand is derived from Indo-Aryan languages, comprising two words, “Jhar” meaning “Forest” and “khand” meaning “Land”, meaning FOREST LAND. Geographically, Jharkhand is India’s 15th-largest state, and population-wise, it is the 14th-largest. Despite Jharkhand accounting for India’s 40% mineral production, 39.1% of its population lives below the poverty line, and 19.6% of its children below the age of five are malnourished. It is plagued by a lot of environmental and socioeconomic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
-
Computational Modeling of Polymer Semiconductors for Electronic Applications
Abstract: Polymer semiconductors have become important materials in modern electronic applications because they combine semiconducting behavior with mechanical flexibility, low-cost processing, and tunable molecular structure. Their growing use in organic field-effect transistors, organic photovoltaics, organic light-emitting diodes, and flexible sensing devices has increased the need for accurate computational approaches that can predict material properties and device performance before experimental fabrication. This paper reviews the major computational modeling techniques used for polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 132–146 Read article
-
Investigation on Thermal and Modal Analysis of Brake Disc Made of SS410 And SS304 Using ANSYS
Abstract: The Primary purpose of the investigation is to investigate the vibration and noise that are present in the braking system. As a result of the application of braking force, the kinetic energy of the vehicle was transformed into heat, sound, and vibrational energy. The dynamic structural characteristics of the components that make up the braking system are closely linked to the modal behaviour, which refers to the vibration modes that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 346–358 Read article
-
Simulation and Experimental Analysis of Abuse Testing for Prediction of Life Cycle for Lithium Ion Battery Cell and Pack Level
Abstract: Lithium-ion batteries play a crucial role in contemporary technology, serving as the power source for everything from consumer gadgets to electric vehicles. However, their safety and longevity are significant influenced by the reperformance under extreme conditions, commonly referred to as ab use testing .This paper explores the simulation and analysis of ab use testing and life cycle prediction for lithium-ion batteries at both the cell and pack levels. Abuse testing …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 1–24 Read article
-
Smart Fitness Assistance using AI
Abstract: In computer vision, human body pose estimation is the study that aims at predicting the poses of human body parts and joints. In this project, visual languages are built based on skeleton poses. We present a real-time body tracking pipeline that predicts body posture. Once the joints of the body have been localised to represent a specific part of the human body, we can use them for wider ranges of …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 11–16 Read article
-
Energy and Exergy Analysis of Ammonia Water Operated Vapour Absorption Refrigeration System Using Artificial Neural Network Approach
Abstract: In this study, energy and exergy analysis have been performed of the ammonia-water operated vapour absorption refrigeration (VAR) system. Authors have trained artificial neural network (ANN) for predicting thermodynamic properties (specific enthalpy and specific entropy) of working fluid (ammonia-water). Authors have achieved coefficient of multiple determination (R2) value 0.9999 and the root mean square error (RMSE) value 0.00211 for input data set of saturated liquid and R2 value 0.999999 and …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 2, Issue 1, 2015 · pp. 7–20 Read article
-
Advancing Asthma Management: The Synergy of Systems Biology, Artificial Intelligence, and Next-Generation Therapeutics
Abstract: Asthma is an inflammatory disorder of the respiratory tract that is chronic and heterogeneous in nature and has various effects on millions of people. Being a chronic inflammatory disease, asthma remains incurable and the major conventional treatments offer limited success due to the mask nature of its pathophysiology. Systems biology/(AI), and next-generation has greatly enhanced knowledge and the management of asthma. The approaches based on gene, transcript, protein, and metabolite …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–12 Read article
-
An Innovative Approach to Find the Optimum Lubricant for Diverse Applications Based on Scikit-Learn Library Using Python
Abstract: This paper presents an innovative approach for finding the optimum lubricant using the Scikit-learn library in Python. The proposed approach uses a linear regression model to analyze a dataset of lubricant properties and performance, specifically the viscosity, wear, and friction. The model is trained on the dataset to predict the wear and friction for a given viscosity, which can be used to identify the optimum lubricant. By analyzing a dataset …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 25–35 Read article
-
Sensors-Based Electric Machine Design for Industry
Abstract: The integration of advanced sensors is fundamentally changing the economics and reliability of electric machines. It moves design focus from minimizing material cost and adhering to conservative standards toward maximizing operational availability and energy efficiency. In the industry of tomorrow, the electric motor will not be a passive collection of coils and steel, but a self-diagnosing, self-optimizing, and perhaps even self-healing asset—a sentient motor—driven by its highly refined sixth sense, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
-
Evolution of Lean Manufacturing in Mechanical Industries: From Traditional Tools to Digital Transformation
Abstract: Lean manufacturing has long been a foundational strategy for enhancing productivity, reducing operational waste, and improving overall efficiency in mechanical industries. Initially developed as part of the Toyota Production System, lean principles focused on eliminating non-value-adding activities and streamlining processes using a set of well-established tools such as 5S, Kaizen, Kanban, and value-stream mapping. Over the decades, these principles have been adopted and refined globally, particularly within the mechanical sector, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 13–18 Read article
-
A review of Autonomous Maintenance System using Weighted product method (WPM) method
Abstract: Autonomous maintenance is a method in manufacturing, which Dedicated to machine operators Maintenancetechnicians Believing, basic maintenance Assigns responsibility for tasks. Objective of this thesis Finding the best locationAutonomous Maintenance System Weighted product method (WPM). This paper is the a weighted product for solving the routing decision problem Model (WPM) is used. Every Dynamically assign weights to criteria This proposed scheme Considers the relevant valuation method for Database Management, Data Storage, …
Published in Journal of Production Research & Management · Vol. 12, Issue 3, 2022 · pp. 26–34 Read article
-
A Review on Digital Twin Technology in Robotics
Abstract: Digital Twin (DT) technology has emerged as a transformative concept in robotics and automation, enabling virtual representation of physical systems, real-time monitoring, and performance optimization. This review explores the foundations of Digital Twin, its integration in robotic systems, key enabling technologies, applications, current challenges, and future research directions. The paper concludes by highlighting how Digital Twin transforms design, control, prediction, and human-robot collaboration.Digital Twin technology is transforming the field of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
-
Experimental and Numerical Investigation of Corrosion-Induced Failures in Copper-Tin Alloy (Cu-Sn) and Aluminum-Magnesium Alloy (Al-Mg) Connectors: A Stress–Corrosion Coupling Analysis
Abstract: The utilization of an integrated experimental and finite element modelling (FEM) methodology, this study investigates the degradation and failure mechanisms in polymer composite electrical connectors exposed to aggressive environmental conditions. Epoxy- and polyamide-based composites, reinforced with carbon and glass fibers, were subjected to accelerated salt spray and humidity–temperature cycles to simulate prolonged outdoor exposure. Electrochemical and environmental aging experiments revealed that chloride ions and moisture ingress were responsible for matrix …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 366–379 Read article
-
Thermodynamic design data of ammonia-sodium thiocyanate absorption heat pump systems simultaneous cooling and heating using ANN approach.
Abstract: The aim of this study is to train neural network which predict thermodynamic design data without involving role of thermodynamic properties, temperature concentration complex relationship and formula of coefficient of performance. Authors have presented values of weights and bias obtained from the trained ANN through which one can formulate mathematical equations for predicting thermodynamic design data. Authors have achieved coefficient of multiple determinations R2 as 0.99999, 0.99997 and 0.99953 for …
Published in Journal of Thermal Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 30–36 Read article
-
Site Suitability Analysis of Soil and Water Conservation Structures in Sillod Watershed, Maharashtra, India using Geographic Information System Approach: A Case Study
Abstract: Watershed development and management programs envisage the development activities along with sustainable utilization of natural resources would raise the living standards of watershed inhabitants. Construction of soil and water conservation structures is the main activity of watershed development program. Location of soil and water harvesting structures in watershed is very important factor for efficient watershed development program. Construction of water harvesting structures at best suitable location will not only conserve …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 22–32 Read article
-
An Efficient LoRa-Enabled Fault Detection Using Self-Powered IoT Device
Abstract: This study describes a revolutionary internet of things (IoT) solution for effective defect detection in a variety of applications. By utilizing an IoT device that generates energy from the surroundings, the suggested solution gets around the drawbacks of conventional battery-operated gadgets. The suggested approach makes use of a self-sustaining IoT gadget that can capture energy from the surroundings to get beyond the drawbacks of conventional battery-powered IoT devices. Longer functioning …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–13 Read article
-
Advanced Computational Models for Predicting Molecular Interactions
Abstract: Understanding molecular interactions is essential for a number of disciplines, including biochemistry, materials science, and medication development. Traditional experimental methods, while accurate, are often time-consuming and expensive. Advanced computational models have emerged as powerful tools to predict molecular interactions efficiently. In order to predict the behavior and interactions of molecules at the atomic and subatomic levels, this paper reviews the most recent developments in computational techniques, such as machine learning …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
-
A Comprehensive Study of Sensor and Camera Fusion for Real-Time Parking Space Detection
Abstract: Due to the rapid growth in urban vehicle density, there have been major problems in the effective management of parking space, which has caused congestion, more traveling time, wastage of fuel, and environmental pollution. Conventional parking systems are very ineffective, as they are based on manual surveillance and cannot provide drivers with much real-time information. To overcome these challenges, the present paper explores the design, development, and operation of a …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
-
Wireless Biosensing Polymer Composites for Smart Healthcare Devices
Abstract: The wireless biosensing polymer composites have been found as one of the possible solutions in developing flexible, real-time and intelligent healthcare monitoring systems. Biomimic polymer matrices coupled with conductive nanomaterials can be used to design an understanding of physiological signals (strain, pressure, and temperature) that are highly sensitive and adaptable sensors. The attachment of these sensors to wireless communication systems, such as the Bluetooth Low Energy and Wi-Fi, eases the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 14, 2026 Read article