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90 articles for “Computational Intelligence”
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Artificial Intelligence in Cardiac Care
Abstract: Artificial intelligence (AI) is showed by artificial entity, a system is generally assumed to be a computer. AI systems are now in routine use in all disciplinary. It is also applied to any machine that exhibits traits associated with a human mind such as learning and problem solving. AI is the center to build computational models of intelligence. It is the stimulation of human intelligence by machines. It is probably …
Published in International Journal of Cardiovascular Nursing · Vol. 7, Issue 1, 2021 · pp. 17–19 Read article
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AI Techniques for Data Analytics and Data Science: Software Tools, Research Challenges, Applications: A Review
Abstract: Artificial intelligence is the branch of Computer Science in which multidisciplinary expertise is required and ultimately the main aim is to automate the activities of all human which require human intelligence. The main issue is to design or create machine that completely works like a human brain. Artificial Intelligence architecture focuses on evaluation and redesigns design process. Now days Data Science is most popular all around the world and is …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 1, 2019 · pp. 9–17 Read article
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Distributed computing and agent technology
Abstract: The technology of intelligent agents and multi-agent systems has fundamentally transformed distributed computations and software development changing the way in which complex, distributed computing and communicating systems are conceptualized, designed, assembled and implemented. In this paper, we study distributed computations in the context of agent organizations and principal-agent relation making emphasis on the organizational structure of agent functioning and interaction. To achieve higher generality and at the same time, better …
Published in International Journal of Distributed Computing and Technology · Vol. 3, Issue 2, 2017 · pp. 30–40 Read article
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Recent Trends and Innovations in Energy Efficiency: The Role of AI and Advanced Technologies in Revolutionizing the Energy Sector
Abstract: This comprehensive review delves into the recent trends and innovations shaping the landscape of energy efficiency. From the widespread adoption of energy-efficient appliances to the integration of advanced energy management systems, significant strides have been made in reducing energy sconsumption and mitigating environmental impact. The paper explores the pivotal role of energy storage solutions in enabling a more sustainable energy future, highlighting the advancements in battery technology, grid-scale storage, and …
Published in International Journal of Energetic Materials · Vol. 10, Issue 1, 2024 · pp. 8–16 Read article
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Utilizing AI in Civil Engineering for the Construction of Green Buildings
Abstract: Artificial Intelligence (AI) is a discipline in computer science dedicated to creating and applying intelligent machines. This includes exploring recent innovations and methodologies for implementing AI in civil engineering and providing an overview of advancements in the field. The significant progress in big data, deep learning, and machine learning technologies has been successfully applied across various civil engineering sectors. Key areas of AI research in civil engineering encompass structural management, …
Published in International Journal of Construction Engineering and Planning · Vol. 10, Issue 1, 2024 · pp. 31–38 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier
Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Adaptive Task Scheduling for IoT Devices Using Improved Genetic Algorithms in Mobile Edge Computing
Abstract: In order to tackle the growing complexity of intelligent services while staying within the resource limitations of mobile devices, this research explores how to optimize task scheduling in the context of mobile edge computing. The study's proposal of a new algorithm that improves computational efficiency and energy utilization in devices enabled by the Internet of Things (IoT) becomes more relevant as the IoT grows in popularity. This approach maximizes computing …
Published in International Journal of Microwave Engineering and Technology · Vol. 9, Issue 2, 2023 · pp. 19–33 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Predictive Brain Cancer Detection and Treatment Using Machine Learning and Artificial Intelligence
Abstract: Through the combination of Big Data and the computer science discipline of machine learning, significant insights may be gained. Machine learning may now be utilized to anticipate nearly any result based on any capability thanks to developing technology. By analyzing underlying patterns in the data, machine learning creates an appropriate model. Every day, medical sciences must overcome new obstacles, such as patients' lack of knowledge about the ailments they are …
Published in International Journal of Chemical Separation Technology · Vol. 9, Issue 1, 2023 · pp. 28–39 Read article
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SMART SURVEILLANCE: AI-DRIVEN DRIVER DROWSINESS DETECTION SYSTEM
Abstract: In this study, a real-time application for driver drowsiness detection based on machine learning and deep learning is developed. Accidents, including traffic accidents, are now a frequent cause of fatalities and injuries among people. One of the major contributing factors to traffic accidents and a significant threat to road safety is drowsy driving. As a result, there are more people dying and getting hurt every year. Serious traffic accidents have …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 29–35 Read article
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Integration of CAD – CAM SYSTEM FOR NEXT – Generation smart manufacturing
Abstract: Abstract The emergence of Industry 4.0 has transformed traditional manufacturing by promoting automation, intelligence, and connectivity across production systems. Integrating Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) has become essential for achieving seamless data exchange, efficient product design, and precise manufacturing operations. This integration enables a unified digital workflow that connects design intent directly to machining processes, thereby reducing errors, improving productivity, and shortening product development cycles. Advanced technologies such …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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System Infringement Challenges in Smart Cities
Abstract: We can increase the urban service use, improve sustainability and minimize environmental harm so that the idea of green infrastructure aims to improve the living standard of the citizens. Cybersecurity is the key issue facing smart cities. To store, process and transmit data we can use data protection, as well as the software infrastructure, all topics covered by cybersecurity. Internet of things (IoT) and internet of everything (IoE) are used …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 7–12 Read article
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Genre Classification of Music Using Machine Learning
Abstract: One of the most important technological advances of the 21st century is artificial intelligence (AI) and machine learning. They are revolutionizing computers, banking, healthcare, agriculture, music and travel. A strong model has mastered many difficult learning tasks. Speech analysis is one area of artificial intelligence. This includes finding information about music, creating music, and categorizing music. Music data is one of the most complex source data available today. This is …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 17–28 Read article
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Intelligent Building Systems: A Progression of Sustainability and Efficiency through Remote Monitoring,Data Analytics, and Automation
Abstract: Abstract: Cities are confronted with never-before-seen issues pertaining to resource management, energy consumption, and environmental sustainability as global urbanization picks up speed. As a result, integrating intelligent building systems has become a game-changing way to deal with these urgent problems. The present study delves into the various components that make up intelligent building management systems, including HVAC control, computerized maintenance management system (CMMS), building management system/building automation system (BMS/BAS), data …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 10, Issue 1, 2024 · pp. 38–47 Read article
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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A Review on Artificial Intelligence, Internet of Things and Wearable Technology for Smart Healthcare
Abstract: The healthcare industry is no longer an isolated area unaffected by technology advancements. Healthcare is driven by technology more than any other force, and it will continue to evolve in spectacular ways in the future. Artificial Intelligence, Internet of Things, Big Data, Cloud Computing, Smart Wearables, and other cutting-edge healthcare technologies have transformed traditional healthcare into smart healthcare. Technology has allowed us to keep a close eye on our health …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 26–34 Read article
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Artificial Intelligence in Cyber Security
Abstract: Security isn't working. While security as a level of IT spend keeps on developing at a powerful rate, the expense of security breaks is becoming significantly quicker. Associations are spending near $100 billion on a bewildering cluster of security items. Truth be told, it isn't exceptional for CISO associations to have 30 to 40 security items in their condition. Be that as it may, in the event that you ask …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 1, 2019 · pp. 9–14 Read article
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A Role of Machine Learning for Students' Academic Success Prediction
Abstract: This research paper aims to identify early predictions of students’ academic success with the help of different indicators. One of the crucial parts of the study is identifying additional indicators that play an essential role in defining students' academic success. Early prediction of success will be helpful for various stakeholders such as students, parents, educators/teachers, institutions, universities, and the government. Machine Learning is a part of Artificial Intelligence (AI) and …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article