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1087 articles for “time machine”
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Thermal Performance Analysis and Optimization of Pin-Fin Heat Sink Using CFD, Taguchi Method, and Machine Learning
Abstract: Efficient thermal management is essential for improving the performance and reliability of modern engineering systems and electronic devices. This study presents the design, simulation, and optimization of a pin-fin heat sink using SolidWorks for three-dimensional modeling and ANSYS for thermal and computational fluid dynamics (CFD) analysis. Four different pin-fin geometries, namely square, pentagon, octagon, and circular fins, are considered to evaluate their thermal performance under varying operating conditions. Aluminum is …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 8–20 Read article
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Multi-functional UAV for Disaster Response and Management
Abstract: Unmanned Aerial Vehicles (UAVs), commonly known as drones, have become integral across diverse fields such as agriculture, surveillance, and defense, with expanding roles in critical operations like search and rescue and post-disaster management. Despite their versatility, current UAVs encounter challenges in disaster response due to limitations in flight time, costs, and accuracy, particularly in dynamic weather conditions. The UAV is equipped with features essential for disaster site surveillance, human detection, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Optimizing Urban Mobility with AI-Based Traffic Management
Abstract: Urban mobility is a pressing concern in modern cities, plagued by issues like traffic congestion and pollution. This research involves, "Optimising Urban Mobility with AI-based Traffic Management", delves into the potential of Artificial Intelligence (AI) to revolutionize traffic management. Focusing on AI algorithms, data analytics, and sensor technologies, the research aims to enhance traffic flow, reduce congestion, and improve overall efficiency. Through statistical analysis and simulations, the research evaluates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 34–43 Read article
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Real-time Monitoring of Alternator Using LabVIEW
Abstract: This paper mainly focuses on safety of students while performing lab experiments on machines like alternator, DC motor, Induction generator and synchronous machines etc. The problem arises in 3 phase alternator, where a student unintensionly touches the shaft part of the appratus. This may cause serious injury to student. To avoid this, some preventive mesaure should be taken . A software based pereventive measure is suggested in later part of …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 1, 2017 · pp. 30–34 Read article
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Video Anomaly Detection using Kalman Based Support Vector Technique
Abstract: AbstractThe digital video processing technology has boomed since last many years. The video processing is done using sum of absolute differences and with the image processing block set. We first calculate motion vectors between successive frames and use them to reduce redundant information. The method uses optical flow algorithm to calculate changes in the intensity of the pixels of the images. Median filtering is used for background extraction which is …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 4–11 Read article
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Optimization of Production Processes to Minimize Waste and Improve Efficiency in Automobile Servicing Plant Using Lean Six Sigma
Abstract: This study focuses on optimizing production processes within an automobile servicing plant to minimize waste and enhance efficiency through the application of lean six sigma (LSS) methodologies. Utilizing a case study approach, the research addresses real-time challenges related to productivity and waste reduction. Data collection involves assessing machine functionality metrics, material and labor flow at various stages of the servicing process. The optimization strategy integrates lean tools including value stream …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 47–63 Read article
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Automatic Seed Planting Using a Controller
Abstract: Agriculture is a critical sector that requires continuous innovation to meet the increasing global demand for food. Traditional seed planting methods often involve labor-intensive processes that are time-consuming and prone to inefficiencies. This project presents an automatic seed planting machine that integrates ESP32 microcontroller technology with various sensors and actuators to enhance the precision, speed, and efficiency of seed planting. The system is designed to automate seed dispensing, soil digging, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 1–8 Read article
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Optimization of process parameters in pocket milling of SAE304 based on tool path strategies using Taguchi method
Abstract: Surface roughness is the most significant factor in manufacturing industry to accept most of the machined components. In modern manufacturing CNC milling is one of the most commonly used machining process for different components. Pocket milling is building importance in plastic molding, Ship building and aircraft manufacturing. The surface finish is attained by finishing operations in most of the cases, which causes increase in production cost and time. This can …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 49–56 Read article
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Machine Learning Based Approaches for the Detection and Classification of Crop Leaf Diseases
Abstract: Crop leaf diseases pose a significant threat to agricultural productivity worldwide, leading to substantial crop losses and economic consequences. Timely and precise identification and categorization of these diseases are vital for effective disease management and safeguarding crops. Over the past years, machine learning methods have gained prominence due to their potential to automate disease diagnosis and classification procedures. This review paper presents an overview of the various machine learning based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 31–38 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Enhancement of Strassen’s Matrix Using Scilab
Abstract: The paper “Enhancement of Strassen’s Matrix Multiplication” is divided into two phases. 1st phase aims at providing ease in the calculations done in ordinary matrix multiplication and using encryption and decryption techniques which enhances security measures. This paper encourages the people to perform less complex calculations. T(n)=7T(n/2)+O(n^2), nlogba=nlog 27==n^2.81, Master’s method T(n)=O(nlog7). The number 2.81 may not seem much smaller than 3, but because the difference is in exponent, the …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 1, 2016 · pp. 27–34 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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Optimizing Machinability in Wire EDM of AISI P20 Steel Employing Composite Material Wires with Hybrid Neural Network Approach
Abstract: AISI P20+Ni steel is extensively used for forging dies, plastic moulds, and automotive die components due to its excellent polishability, hardness, and homogeneity. This research utilizes Wire Electrical Discharge Machining (WEDM) to process pre-hardened AISI P20+Ni steel, focusing on minimizing both recast layer thickness (RLT) and kerf width (KW). The performance of wires made from composite materials, including zinc-coated brass wire (ZBW), cryogenically treated ZBW (CZBW), and ultrasonic vibration-assisted brass …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1120–1133 Read article
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Machine Translation (MT) Technique: A Review
Abstract: Machine translation (MT) is the process of automatically translating the content from one language (the Source or the input) into another (The Target or the Output) by the use of Artificial Intelligence. The advantage of machine translation is that it can translate large amounts of text in a very short period of time. Translation was one of the first implementations of computing power, beginning in the 1950s. This Project focuses …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 7–10 Read article
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Advances in Trauma Surgery: Innovations, Historical Perspectives, and Future Directions in Patient Care
Abstract: Trauma care has evolved significantly over the past few decades, with innovations in surgical techniques, medical devices, and procedural protocols enhancing the outcomes for patients experiencing life-threatening injuries. This article explores recent surgical innovations in trauma care, focusing on advancements in hemorrhage control, rapid trauma intervention, and the use of novel technologies to improve surgical precision and recovery. Key developments such as hemostatic agents, minimally invasive techniques, and the integration …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 Read article
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Low-cost Machine Learning-Based Sensor-based Activity Recognition for Patients with Financial Difficulties
Abstract: Elderly and schizophrenic patients are compelled to obtain treatment at home due to a lack of resources, putting them at risk for patient neglect and other health issues. This is particularly troublesome for prescription yoga or fitness programs, which are hard for doctors to keep an eye on all the time. We have looked into an automated method that tracks patients’ everyday behaviors using machine learning- based techniques in order …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 7–17 Read article
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Cyberattack Detection and Prevention Using Empowering AI Tools
Abstract: With more organizations entering the digital transformation sphere, the opportunities and risks in cyberspace have increased and gone up in levels of sophistication and occurrence. Many of these developments are attributed to the limits of existing cyber security solutions where addressing new threats requires advanced detection technologies and techniques. Cyber threats gained a new meaning and dimension with artificial intelligence (AI) coming into play in ways that supplement security systems …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Real-time Criminal Detection Using Face Recognition
Abstract: The objective of this project is to create a criminal face detection system that utilizes machine learning algorithms like TensorFlow and Scikit-learn, implemented in the Python programming language. To handle image processing, OpenCV will be utilized, while SQL will manage the current criminal database. The high-resolution pictures in the database will be split into various components and utilized for training the model, which can identify specific features to recognize the …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 1–7 Read article
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Development of Water Trash Collector System: A Review
Abstract: A serious garbage crisis has emerged, notably in aquatic bodies, because of rising urbanisation, corruption, and worldwide economic expansion. We have created an automated system for cleaning rivers utilising an Arduino-based floating garbage collector machine to address this problem. The system is fueled by solar energy, allowing for a backup energy supply and water recycling, which helps reduce waste. The system collects plastic and glass bottles and other lightweight floating …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 1, 2023 · pp. 25–30 Read article