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816 articles for “machining time”
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Facial Recognition System Utilizing Real-time Deep Learning Techniques
Abstract: This research introduces an openly accessible deep learning-based framework designed for facial recognition. The system encompasses five key stages: face segmentation, detection of facial features, face alignment, embedding, and classification. Deep learning methods are employed for the extraction of fiducial points and embedding within the system. For the classification task, a Support Vector Machine (SVM) is utilized due to its efficiency in both training and inference phases. Notably, the system …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 14–20 Read article
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Forensic Face Portrait Fabrication and Identification
Abstract: In today's world, the general crime rate is increasing by the day, and law enforcement agencies must discover ways to speed up the overall process and assist them in bringing criminals to justice. Face recognition technology, for example, might be used to identify and authenticate the perpetrator. The traditional strategy is to employ forensic sketch artists' hand-drawn face sketches to identify the offender; updating this would necessitate identifying the culprit …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 21–30 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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Foundry 4.0: Revolutionizing Casting Production with Computerized Systems
Abstract: For a considerable amount of time, foundries used computers for handling inventory, waging, wages, accounting, personnel records, and quality control. Nearly all of the foundry's systems and machinery are computerized. Through the installation of computers in foundries, employees' workloads and levels of stress have reduced significantly, and the workplace feeling has greatly improved. This review paper explores the potential implications and functions of computers in foundries. A thorough explanation of …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 1–11 Read article
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Adventure Masterclass Travel App: Enhancing Experiences and Connectivity
Abstract: In an era where travel enthusiasts seek unique and exhilarating experiences, adventure tourism has emerged as a burgeoning sector in the global travel industry. This project aims to develop a mobile application tailored specifically for adventure travelers, catering to their diverse needs and preferences while ensuring seamless planning and execution of their expeditions. The proposed adventure travel application will integrate a plethora of features designed to enhance the overall travel …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 3, 2024 · pp. 1–10 Read article
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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Emerging Trends in 5G and Beyond-5G Wireless Networks
Abstract: Wireless networks have evolved in the blink of an eye from 4G to 5G and are progressing towards beyond-5G (B5G) frameworks, leading to revolutionary changes in connectivity, speed, and network smarts. This review discusses trending features, challenges, and future trends of 5G and B5G wireless communications technologies. It presents chief goals of 5G, such as ultra-low latency, high spectral efficiency, massive machine-type communication, and up to 10 Gbps user data …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 11–19 Read article
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Transformative Digital Learning Through AI Technologies
Abstract: The progress of artificial intelligence (AI) has brought about a remarkable change in the educational system. It has paved the way for the development of new educational paradigms like adaptive, personalized, and data-driven digital learning environments, replacing the old ones which were more or less teacher-cantered. In the new digital world, AI technologies have become the main drivers for educational systems to go digital and for human teachers to shift …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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AI-Based Cybersecurity Framework for Protecting Smart Surveillance Infrastructure in Mumbai
Abstract: Smart city infrastructures increasingly rely on interconnected surveillance systems to ensure safety, operational efficiency, and public trust. However, the rapid expansion of IoT-based monitoring technologies has introduced new cyber risks, especially in high-density metropolitan areas. This paper proposes an AI-driven cyber resilience framework targeting smart surveillance infrastructure as a critical smart-living domain, focusing on Mumbai as a case study. Using the CIC-IDS2017 dataset, a machine learning-based intrusion detection model is …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 Read article
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Advanced Lithium-Ion Battery Prognostics: A Comprehensive Review of Machine Learning Approaches for Remaining Useful Life Prediction
Abstract: The lithium-ion battery (LIB), as one of the main sources for portable power systems, has been increasingly popular owing to its widespread applications in electric vehicles, consumer electronics, aerospace and renewable energy. Despite their advantages in high energy density and long cycle life, LIBs suffer from degradation over time of aging and cycling, resulting in loss of performance, safety issues, and economic bottlenecks. Predicting their Remaining Useful Life (RUL) is …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 12–27 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 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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Face Mask Detection on Real Time Images and Videos using Deep Learning
Abstract: A big change has occurred in our day-to-day lives as a result of COVID-19. One of these changes is the widespread adoption of face masks as a preventative measure against the transmission of the virus. Because of this, face mask detection has developed into an indispensable technique in a variety of contexts, ranging from public areas to industrial settings. Artificial intelligence (AI) and machine learning algorithms are utilized in the …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 22–30 Read article
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Urban Smart Living: Home IoT Technology
Abstract: The practice of self-sufficiently regulating home appliances using various control system approaches is known as IoT smart city home automation. Many control strategies may be utilized to control the electrical and electronic appliances in the house, including the windows, refrigeration units, fans, lights, fire alarms, kitchen timers, and so on. Sync thousands of products to automate everyday tasks and create a home hub. With live cams, you can see how …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 26–32 Read article
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An Intelligent Modelling system for Automotive Vehicles
Abstract: In this paper it’s about the development of artificial intelligence that has fuelled technological advancements. Self-driving automobiles are an example of an innovative development. Nowadays, you may work or sleep in your car while driving to your destination without touching the steering wheel or accelerator. This project aims to create a workable model of a self-driving car capable of traveling on multiple tracks, including curved, straight, and straight followed by …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 32–40 Read article
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QSAR Modeling Techniques A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article
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Automation and Robotics for Quality Control in Manufacturing: A Review of Technologies and Applications
Abstract: Automation and robotics technologies have rapidly evolved, transforming modern manufacturing processes by improving productivity, quality, and operational efficiency. This review examines key advancements such as cloud robotics, machine vision, Industry 4.0 robotics, Building Information Modeling (BIM) combined with Computer Numerical Control (CNC), joystick-controlled automation, and intelligent manufacturing systems. These technologies utilize artificial intelligence (AI), machine learning (ML), digital twins, collaborative robots, programmable logic controllers (PLCs), and cyber-physical systems (CPS) to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 36–48 Read article
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Investigating the Influence of Process Parameters on Photochemical Machining of Phosphor Bronze Alloy Microchannels
Abstract: Microchannels are widely employed in microfluidic devices, biomedical systems, and compact heat exchangers, where their functional efficiency depends strongly on surface finish, dimensional control, and edge quality. Traditional machining techniques often face limitations in producing such features with the required precision, prompting the use of advanced micromachining methods. In the present work, photochemical machining (PCM) has been applied to fabricate serpentine-shaped microchannels in phosphor bronze. The study systematically investigates the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 837–846 Read article
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Selection of Maintenance Strategy Using Hybrid AHP-VIKOR Approach for a Smart Manufacturing Application in Industry 4.0
Abstract: In Industry 4.0, choosing the right maintenance strategy is important for improving machine performance, reducing downtime, and ensuring smooth operation in smart manufacturing systems. This study aims to find the most suitable maintenance strategy for a customized machine-making company by using a combination of AHP and VIKOR methods. In this study, four types of maintenance strategies are considered: breakdown maintenance, time-based maintenance, condition-based maintenance, and predictive maintenance. First, the AHP …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article
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Wet Multi Plate Clutch Failure: A Review
Abstract: To create a successful design that satisfies modern demands, the traditional theoretical method of computing temperature area, in particular the maximum temperature considered inside the surfaces of the friction take hold of disc best during the single engagement, is used. The entire engagement time was 5s, although the temperature fields were calculated during 6 consecutive engagements. In order to calculate the heat conductivity of the friction grasp machine, a three-dimensional …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 1–10 Read article