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501 articles for “Real-time computing”
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The Role of Symmetry in Topological Insulators and Superconductors
Abstract: Topological insulators and superconductors constitute a class of quantum materials characterized by insulating bulks and symmetry-protected conducting boundaries. Symmetry principles, notably time-reversal (TRS), particle-hole (PHS), and chiral symmetry, play a fundamental role in determining the topological phases and their classification within the Altland-Zirnbauer scheme. TRS protects gapless surface states in topological insulators, while PHS stabilizes Majorana modes in topological superconductors. Symmetry-protected topology extends this framework by considering partial symmetry breaking, …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 01–05 Read article
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Progress and Uses of Satellite Remote Sensing
Abstract: Satellite remote sensing has become an important tool for watching, studying, and controlling both natural and man-made systems on Earth. Satellite sensors collect electromagnetic radiation that is reflected or transmitted from the Earth's surface. This data is needed for environmental monitoring, resource management, and hazard assessment. Recent improvements in sensor resolution, data processing techniques, and cloud-based platforms have made remote sensing applications much more accurate and easier to use. The …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 8–19 Read article
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Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
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Integration of Smart Mobile Toilet with an Online Application
Abstract: AbstractDemonetization brought about a paradigm shift in computerized installments which led to an exponential rise in the usage of digital applications. The project aims at integration of the previously developed Optimized Smart Mobile Toilet with Android applications which involves the usage of XML and Core JAVA for the Full Stack Development. The major focus is on the development of two mobile applications on Android Studio so as to monitor the …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 2, 2020 · pp. 20–27 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Strategic Integration of Machine Learning in Polymer Composite Development: A Framework for R&D Portfolio Management and Technological Adoption
Abstract: The progress of advanced polymer composites is slow, costly and unpredictable due to traditional methods of trial-and-error research. As materials informatics and data-driven modeling speed up the process of discovering technology, there exists a huge disconnect between computational predictions on one hand and strategic decision-making on the other in research and development (R&D). To solve this issue, this paper presents the Agile Materials-Intelligence (AMI) Framework, a systematic combined methodology that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1272–2286 Read article
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Self-Tuning Wireless Power Transfer System Using Reinforcement Learning for Dynamic Electric Vehicle Charging
Abstract: The rapid growth of electric vehicles (EVs) has intensified the demand for efficient, reliable, and user-friendly wireless power transfer (WPT) systems capable of supporting dynamic charging under varying operating conditions. This paper presents a self-tuning wireless power transfer system employing deep reinforcement learning (DRL) to optimize power transfer efficiency in real time. Unlike conventional WPT controllers that rely on fixed compensation parameters or predefined control rules, the proposed framework continuously …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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A Taxonomy of Machine Learning Techniques
Abstract: Learning is any process by which a system improves performance from experience. Training a model simply means learning (i.e., determining) good values for all the weights and therefore the bias from labeled examples. Machine learning (ML) is a sub-field of artificial intelligence that creates machines which exhibits learning capability and improve their performance from experience without being explicitly programmed. ML focuses on the creation of computer programs that can access …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 18–25 Read article
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Computational and Molecular Aspects of DNA Profiling in Forensic and Biomedical Sciences
Abstract: DNA profiling has changed many diverse modern sectors, from health and criminal justice to ancestry research and animal conservation. It is one of the most important scientific instruments of our time. This technique makes it possible to identify people, analyze family relationships, and learn more about biology by looking at unique genetic markers in a person’s DNA. DNA profiling has changed the way forensic science works by making it easier …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 14–18 Read article
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Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Supply Chain Design Considering Social and Environmental Risks
Abstract: The aim of the research is to design a supply chain taking into account social and environmental risks. In this research, an attempt was made to present a model that, by considering variables close to the real world, simultaneously considers cost and sustainability issues for designing a meat supply chain network, including locating facilities, using technology in them, how products flow in the network, etc. In order to examine the …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 35–43 Read article
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Music Recommendation System and Mood Tweak Using Facial Emotion Recognition
Abstract: A user’s emotions can be detected through their facial expressions, these characteristics can be parsed, and the information can be used to improve the user’s experience. With the computing capabilities of on-board graphic processing, there is a new trend of functionality being considered in the field of emotion detection. The use of Convolutional and Recurring Neural Networks (CNN & RNN) to conduct a comparison on which deep learning can be …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 1, 2022 · pp. 43–49 Read article
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Smart Programmable Energy Meter with Bill Estimation
Abstract: The idea of a rechargeable electricity energy metre, similar to how we recharge our mobile phones, is a smart one. In this project, we are developing a computerised system using a microcontroller called the 8051 and a GSM module. The project's major goal is to create an energy metre that sends SMS notifications to consumers to let them know exactly how much energy each load is consuming and how much …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 1, 2023 · pp. 15–20 Read article
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Smart QR Based Parking System
Abstract: Abstract: Today parking management is a big issue in our society because of rapid growth in a number of vehicles day by day so in order to manage this problem, there has to be a solution, which helps getting rid of problems arising due to the lack of a proper parking management system. Hence finding a parking space has become an unpleasant experience in many metropolitan cities. There are many …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 3, 2019 · pp. 12–18 Read article
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IoT and Autonomous RC Boats for Water Quality Assessment: Trends, Challenges, and Future Prospects
Abstract: Nowadays the application of Internet of things (IoT) increasing in many applications like drone, remote control vehicles, electrical vehicle, etc. In this paper we proposed a way to check quality of water present in vast water bodies by Remote Controlled (RC) Boat. This RC environmental monitor boat collects water quality data and sends it online via the Internet of Things. So that we maintain the water by clean from received …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 1, 2025 · pp. 13–21 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Exhaustive Search Meets DNA Sequencing: A Comprehensive Review of TSP-Based Approaches
Abstract: Exhaustive search is a highly computational complex algorithm that checks every possibility to obtain the best solution. We illustrate an exhaustive search by applying it to three important problems: the traveling salesman problem, the knapsack problem, and the assignment problem. In this paper, we took a traveling salesman problem to explain DNA Sequencing. Since traveling salesman problem is an algorithmic problem that finds the shortest route between a set of …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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Pseudo Random Encoders Simulation and Implementation
Abstract: This article discusses pseudo-random position encoders and their basic built-in parts, but pays special attention to a new approach in their development. A new, more flexible method for improving and testing proposed pseudo-random encoders, based on virtual instrumentation. In particular, the problems of generating pseudo-random strings and converting pseudo-random code to natural code are discussed, implemented, and tested using the LabVIEW software package. The goal of this study is to …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 35–40 Read article
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Modern Technology Demonstrates the Understanding of Forecasting in the Age of A rtificial I ntelligence and Big Data, Minds Versus Machines
Abstract: AbstractArtificial Intelligence (AI) is a machine learning process and it is the easiest and fastest way to implement business plan. Now a day, automation brings the most value for applying to narrow, repetitive and quick business decisions. It has made thousands of times a day, saving labor hours, replacing the more boring aspects of knowledge work. That’s why AI has proved successful at automating repetitive finance tasks, machine processes such …
Published in Research and Reviews : Journal of Computational Biology · Vol. 9, Issue 1, 2020 · pp. 4–9 Read article