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90 articles for “Computational Intelligence”
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Face Recognition and Identification Using Computer Vision
Abstract: ABSTRACT In practice, identification of criminal in India is done through thumbprint identification. However, this type of identification has many constraints. Our face recognition poses to be able to detect face and recognize face automatically. Nowadays, face recognition systems use biometric for many security applications. This technique uses an image-based approach toward artificial intelligence by removing redundant data from face images through image compression using computer vision that compares a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 6–10 Read article
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A Review on Image Processing, and Artificial Intelligence for Image Analysis
Abstract: ABSTRACTIn this paper we reviewed Image processing and artificial intelligence in which a method is performed some operations on an image in order to get an improved vision or to get some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Nowadays, image processing is among rapidly growing technologies which is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 39–43 Read article
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Intelligent Supply Chain using IoT
Abstract: Abstract: With the emergence of the new technologies like – Big Data, Internet of Things, Blockchain, Artificial Intelligence, the way in which business are working today are fast changing. These technologies are making a huge impact in every sector of the industries, be it a manufacturing, retail, aerospace, Oil and Gas and others. The core process of any industry like supplies, product manufacturing or selling of a product to a …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 2, 2019 · pp. 8–19 Read article
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Impact of AI in HRM Practicing Job Satisfaction in Any other Hospital
Abstract: Artificial Intelligence (AI) is becoming more prevalent in organizations, presenting both opportunities and challenges for Human Resource Management (HRM). The integration of AI in HRM reflects the dual potential for advancement and complexities within organizational dynamics. Striking a balance in leveraging AI's benefits while addressing its challenges is crucial for effective HRM. In the medical field, Artificial Intelligence (AI) in hospitals involves the application of advanced computational algorithms and machine …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 2, 2023 · pp. 18–26 Read article
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Intelligent Traffic Control System for Emergency Ambulance
Abstract: The growth of population leads to rise in the number of vehicles. This resulting traffic jams and rush hour, congestion is the major barrier for the emergency ambulance are not able to reach their right destination in the right time. To solve this downside, we tend to return up with “intelligent control for emergency ambulance”. This system proposed clears the traffic block and traffic jams for emergency ambulance by turning …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 7–15 Read article
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Brain-Inspired Computing: The Rise of Neuromorphic AI
Abstract: Neuromorphic computing is an emerging computing paradigm that draws inspiration from the structure and operational principles of the human brain. By integrating ideas from neuroscience, computer design, and materials science, neuromorphic systems aim to deliver high-performance, low-power computation that is suitable for smart data processing. Unlike traditional von Neumann architectures, neuromorphic hardware uses massively parallel processing, event driven computation, and adaptive learning. This paper provides an overview of neuromorphic principles, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 2, 2026 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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The Impact of CAM on Digital Twin Technology inManufacturing Systems
Abstract: The integration of Computer-Aided Manufacturing (CAM) and Digital Twin technology is revolutionizing the manufacturing landscape by bringing together the strengths of process automation, real-time monitoring, and predictive analytics. CAM, which has long been used to optimize machining processes, automate toolpath generation, and control production workflows, plays a vital role in improving manufacturing efficiency and precision. On the other hand, Digital Twin technology, which creates a virtual replica of physical systems, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 6–10 Read article
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Innovations and Sustainability in Structural Engineering:Advanced Materials, Seismic Retrofitting, andComputational Analysis
Abstract: Abstract This paper explores the latest advancements in structural engineering, emphasizing sustainable practices, the development of advanced materials, and innovative computational techniques for structural analysis. Structural engineering, a fundamental discipline within civil engineering, is experiencing significant growth due to increasing environmental challenges, stricter building codes, and the need for more resilient infrastructure. To meet modern demands, advanced materials like high-performance concrete, fiber-reinforced polymers (FRPs), and shape memory alloys (SMAs) have …
Published in International Journal of Structural Engineering and Analysis · Vol. 10, Issue 2, 2024 Read article
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AI in e-Skin: A Study
Abstract: For years, the concept of electronic skin, or e-skin, has captivated imaginations. Imagine a material that could mimic the sensitivity, flexibility, and even the healing properties of human skin. This isn’t just science fiction anymore. E-skin, a network of flexible sensors and electronic components, is rapidly becoming a reality. And now, thanks to the power of artificial intelligence (AI), this technology is poised to revolutionize various aspects of our lives, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 8–16 Read article
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Revolutionizing Design and Manufacturing: The Role ofComputer Languages in CAD and CAM
Abstract: The evolution of computer languages has played a crucial role in the advancement of modern computational technologies, with significant contributions to fields, such as Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM). Computer languages provide the essential tools to communicate between human users and machine systems, enabling the automation of design and manufacturing processes. This review explores the development and classification of computer languages, highlighting their impact on CAD and CAM …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 30–34 Read article
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Beyond Words: Exploring the Boundaries of Text-to-Speech Technology
Abstract: This work presents a novel, effective, and economical method for turning text graphics into audio information in real-time. This method enables visually challenged individuals to efficiently interact with computers through a voice interface. Text extraction from color photographs is a tough computer vision task. Text-to-speech conversion uses OCR technology to convert English alphabets and numbers in images into voices. Of course! The main goal of real-time speech-to-text translation is the …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 2, 2023 · pp. 1–5 Read article
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Artificial Intelligence Based Path Finding and Decision Making in First Person Shooting Game
Abstract: One of the most important components of the game business is artificial intelligence (AI). In this paper, we have looked at how artificial intelligence technology may be utilised to issues that exist during game development and the addition of additionalfeatures. Two algorithms—the bots decision-making and path finding—are studied in this research article. A few AI strategies are explored, along with how they might be applied to solve game-related issues. These …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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An Overview on AI in Thermal Behaviour of Polymers
Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the thermalanalysis of polymers and composite materials has transitioned from experimental curiosity to acornerstone of material science. By replacing costly and time-consuming trial-and-errorlaboratory testing with predictive modeling, AI is accelerating the development of advancedthermal interface materials, fire-retardant polymers, and aerospace-grade composites. Theprediction and optimization of the thermal behavior of polymers and composite materialsrepresent a cornerstone of modern materials science, …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 12–16 Read article
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A Review of Real-Time Human Detection
Abstract: The real-time human detection and counting system leverages deep learning and computer vision to detect individuals, classify gender, and estimate age from live video feeds or CCTV footage. Implemented using flask as a lightweight web framework, the system manages user authentication, detection control, and real-time result display. A Python-based detection script operates asynchronously, ensuring smooth execution, while results – including counts of males, females, and total individuals – are stored …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 29–39 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Deep Learning Techniques for Optimizing Resource Allocation and Sustainability in the Next Generation of 6G Wireless Networks
Abstract: The upcoming sixth generation (6G) of wireless communication networks aims to meet challenging requirements such as ultra-reliable low-latency services, massive connectivity for billions of smart devices, and intelligent automation across highly diverse environments. Along with these goals, the issues of energy efficiency and environmental sustainability are becoming equally important, as the rising number of users and traffic volumes will directly increase power demand and carbon emissions. To lower total energy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Smart Waste Management System Using IoT
Abstract: Waste collection and to dispose is one of the biggest issue that world is facing. This requires huge expenditure and more costing includes manpower, collection bin vehicle cost, fuel cost, and proper ways to dispose it. This factor led the necessity of designing, implementing and executing an intelligent smart waste management system for proper dispose of waste. This paper concentrates on the implementation of smart waste management using IoT computing. …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 30–37 Read article