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1336 articles for “AI-Based System”
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Comparison of Simulations Results of Fuzzy Logic, Neural Network and Conventional Scheme Based Controller for SAF in Constant Frequency Aircraft System
Abstract: SRF control strategy for finding reference currents for active power filters have been optimized using artificial neural network, fuzzy logic control and their performances have been evaluated. The acute analysis of comparison of the compensation capability based on THD and speedwell be done, and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown, and they will undoubtedly prove the …
Published in Journal of Aerospace Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 1–9 Read article
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Performance Evaluation of Neural Network and Conventional Control Techniques Based Shunt Active Power Filter for Constant Frequency Aircraft Power System
Abstract: Synchronous reference frame strategy for extracting reference currents for shunt active power filters have been modified using artificial neural network and its performances have been compared. The acute analysis of comparison of the compensation capability based on THD and speed will be done, and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown, and they will undoubtedly prove the …
Published in Journal of Aerospace Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 1–9 Read article
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Real-Time Browser-Based Early Warning System for Cyberbullying Detection in Online Platforms
Abstract: The rise in social networking through internet-based communication tools, Instagram, and YouTube, to name a few, significantly increases the risk of cyberbullying, thereby increasing psychological trauma on users, especially children, through adverse emotional states like anxiety, depression, etc. For a long time, researchers have been enhancing detection tools to counter cyberbullying, but their ability to detect only after the fact, along with limited support for English-based architecture, is a major …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 09–15 Read article
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Simulation and Performance Based Comparison of Artificial Intelligence Based Shunt Active Power Filter in High Frequency Aircraft System for Power Quality Improvement
Abstract: Synchronous reference frame strategy for extracting reference currents for shunt active power filters have been optimized by using fuzzy logic control and adaptive tabu search algorithm respectively; their performances have been compared. The acute analysis of comparison of the compensation capability based on THD and speed will be done and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 32–41 Read article
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A Review of Building-Integrated Photovoltaic/Thermal (BIPV/T) Systems
Abstract: AbstractFor the last years, Building Integrated Photovoltaic (BIPV) was the only gate to use PV solar energy into housing area. However, there is another type of building integration technology which is building integrated photovoltaic-thermal (BIPV/T) that is gaining popularity at a very high rate. Therefore, this paper presents a review of the BIPV/T existing technologies, presenting a general overview of the system, including historical projects developed from the 80’s till …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 10, Issue 1, 2019 · pp. 9–27 Read article
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Movie Popularity Content-based Database System Using Cloud Computing Based on Deep Learning and AI
Abstract: The digital age has brought rapid growth in both the production and consumption of movies within the entertainment industry. This surge in movie availability has created a need for effective methods to assist users in discovering films that align with their preferences. This paper introduces the concept of a “Movie Popularity Content-Based Database System,” designed to enhance the movie recommendation process by combining content-based filtering with popularity trends. In summary, …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 7–12 Read article
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Exploring Artificial Intelligence in Operating Systems for Consumer Enhanced Experience: Knowledge-Based Interfaces for Intelligent User Experience and System Optimization
Abstract: The convergence of knowledge-based systems, machine learning algorithms, and natural language interfaces that provide dynamic and context-sensitive behavior is another foundation for this change. AI-based operating systems are important because they can enhance user experiences via automation, self-optimization, and customization. AI signifies a new era of cognitive computing, from adaptive power management for desktops and embedded systems to predictive text and voice recognition on mobile devices. Furthermore, this ability to …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 26–30 Read article
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Simulation and Performance based Comparison of GA-Fuzzy-ANN based Shunt Active Power Filter for Power Quality Improvement in High Frequency Aircraft System
Abstract: A novel improved artificial neural network control primarily based craft shunt filter has been projected during this paper. The shunt active power filter model has been improved using Genetic algorithmic program and fuzzy logic. Genetic algorithmic program has been accustomed realize the optimum value of filter inductor; whereas fuzzy logic controller has been utilized in voltage control loop of the filter. The advance within the control scheme using artificial neural …
Published in Journal of Aerospace Engineering & Technology · Vol. 3, Issue 3, 2013 · pp. 62–70 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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A Comparative Study of ANN and Traditional Control Techniques based Active Shunt Power Filter for 400 Hz Aircraft Electric Power System
Abstract: Sinusoidal current control strategy for extracting reference current for shunt active power filters have been modified using artificial neural network (ANN) and its performances have been compared too. The acute analysis of comparison of the compensation capability is based upon THD, speedwell and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown in this paper, and they will undoubtedly …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 42–49 Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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The Role of Artificial Intelligence in Enhancing Athlete Performance and Training Strategies
Abstract: Artificial Intelligence (AI) is transforming modern sports by improving athlete performance, training methods, and decision-making processes. The integration of AI technologies such as machine learning, data analytics, wearable sensors, and computer vision has enabled coaches and sports scientists to analyze large amounts of performance data with greater accuracy and efficiency. Athletes' physiological indicators, movement patterns, injury risks, and recuperation processes are all monitored by these technology. Training regimens can therefore …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Oceanmind Systems: AI-Driven Marine Life Intelligence for Climate Prediction and Ocean Ecosystem Stability
Abstract: Oceans regulate global climate systems, support biodiversity, and serve as critical carbon sinks, yet they remain under-monitored relative to their ecological importance. Traditional oceanographic methods rely heavily on satellite sensing, buoy networks, and periodic marine surveys, which often fail to capture real-time biological dynamics at micro-ecosystem levels. This paper introduces OceanMind Systems, an artificial intelligence (AI)-driven marine intelligence framework that integrates marine life behavior, oceanographic data, and computational modeling to …
Published in International Journal of Marine Life · Vol. 3, Issue 2, 2026 Read article
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Understanding the Role of Remote Sensing Techniques in Monitoring Air Quality for Effective Adherence to Environmental Impact Assessment Practices in Nigeria
Abstract: The paper reviews the Nigerian Environmental Impact Assessment (EIA) Act, outlining the established air quality thresholds and emission caps for stationary sources. The standard applies to; common pollutants like sulphur dioxide, carbon monoxide, ozone, particulate matter and nitrogen oxides; toxic metals such as arsenic, nickel, cadmium and mercury; as well as volatile organic compounds, ammonia, antimony, zinc, formaldehyde and radon.It also describes the major classifications of remote sensing applications, including …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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AI Impact: Unpacking Brain Duplication in Everyday Life
Abstract: Brain duplication technique is impactful in several industries to reduce the cost and human efforts. Ai-based systems are being implemented in education, health, technology, manufacturing, production and other sectors. Hence, the following work has developed a clear understanding of the brain duplication technique and its impact on human activities.The essential elements have encapsulated the utilization of computer algorithms like machine learning, natural language processing, deep learning, and similar technologies.Hence, the …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 21–26 Read article
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AI-Enabled Recycling of Thermoplastic Polymer Waste in Hospitals: A Circular Economy Pathway Toward Green Hospital Certification
Abstract: This review research explores the latest role of AI in improving thermoplastic waste management for hospitals in terms of segregation accuracy, operational efficiency, and circular economy outcomes. Seventy-five relevant studies were analysed, and it was reported that AI-based systems, especially CNNs, YOLO models, and sensor-fusion approaches, achieved high accuracy in the identification and sorting of medical plastics, often above 90%. Early evidence also reveals improvements in the reduction of contaminants, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 170–182 Read article
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Smart Dustbin for Household Using Internet of Things (IoT)
Abstract: This article, titled “Smart Dustbin for Household Using Internet of Things (IoT)”, introduces an innovative solution to manage household waste effectively. In today's fast-paced world, many individuals find it challenging to dispose of garbage regularly due to busy schedules. This IoT-based system aims to address this issue by employing sensors and connectivity to monitor the fill-level of dustbins in real time. By utilizing ultrasonic sensors and microcontrollers like the ESP32, …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 2, 2024 · pp. 38–48 Read article
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IoT-based Patient Fall Detection and Alerting System for Patient Safety
Abstract: This paper presents an Internet of Things (IoT) based patient fall detection and alerting system designed to enhance patient safety in healthcare settings. Falls among patients, especially in hospitals or care facilities, can lead to severe injuries and complications. The proposed system utilizes wearable sensors integrated with IoT technology to continuously monitor the movements and activities of patients. Machine learning algorithms are employed to analyze sensor data in real time, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 9–14 Read article
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Current Updates On Employability Of Artificial Intelligence In Healthcare Science & Research
Abstract: Over the centuries, tools have been developed to increase refinement to manipulate different tools in many ways to use human digital computers. It can perform the same types of numerical and symbolic operations that can be done by ordinary people, but faster and more reliable. Artificial intelligence algorithms applied to computer applications and software. Include knowledge-based systems. AI is the science that mimics the mental skills of humans in computers. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 72–77 Read article
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ChatGPT vs. Google Search Engine: Usage and Popularity Among Bangladeshi University Students
Abstract: The cultivation of new educational technologies, particularly artificial intelligence (AI), has transformed the world of education. AI-based systems like ChatGPT are quickly emerging as the go-to platform for students. This study intends to analyze and evaluate the use and reliability of ChatGPT and Google search engine as resources for learning among public and private university students in Bangladesh. The study used Google Forms questionnaires with 31 respondents, mostly students, and …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 01–14 Read article