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90 articles for “Computational Intelligence”
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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Design and Optimization of Gas Turbine Blades for High-Temperature Operations
Abstract: Abstract The design and optimization of gas turbine blades for high-temperature operations are critical to enhancing the efficiency and reliability of power generation and propulsion systems. These components operate under extreme conditions of heat, pressure, and mechanical stress, making their performance pivotal to the overall effectiveness of turbines. This study explores the key factors influencing blade performance, emphasizing the importance of material selection, thermal barrier coatings, aerodynamic design, cooling mechanisms, …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 22–27 Read article
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A Review of Adaptive Power Control Methods in Broadband Networks
Abstract: Broadband communication networks have experienced rapid growth due to the increasing demand for high-speed wireless connectivity, multimedia services, cloud computing, and Internet-based applications. As network traffic and user density continue to rise, efficient power management has become an essential requirement for maintaining communication quality, improving spectrum utilization, and reducing overall energy consumption. Adaptive power control methods play a critical role in optimizing transmission performance by dynamically adjusting signal power according …
Published in International Journal of Broadband Cellular Communication · Vol. 12, Issue 1, 2026 · pp. 17–28 Read article
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Toward Sustainable Intelligence: A Framework for Green AI Adoption
Abstract: The rapid expansion of Artificial Intelligence has shattered the illusion of the cloud as an ethereal entity, revealing a massive physical infrastructure with a staggering environmental price tag. The traditional Red AI paradigm – where success is measured solely by accuracy through brute-force scaling – has created an unsustainable trajectory. Training a single large-scale model like GPT-3 requires 1,287 MWh of electricity, while the necessary cooling systems evaporate millions of …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article
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Exploring the Role of CAD Systems in Modern Engineering and Manufacturing
Abstract: Abstract Computer-Aided Design (CAD) systems have revolutionized various industries, providing professionals with sophisticated tools to design, analyze, and optimize products with greater precision and efficiency. These systems integrate both hardware and software to assist engineers, architects, and designers in creating and manipulating detailed representations of physical objects. This article explores the evolution of CAD systems, their core components, types, and applications across diverse sectors like automotive, aerospace, manufacturing, and architecture. …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 24–29 Read article
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Deep Learning with CNNs: A Survey of Techniques and Real-World Applications
Abstract: Convolutional Neural Networks (CNNs) have emerged one of the most powerfully used tools in deep learning, particularly in image and pattern recognition tasks. CNNs are being revolutionized through deep learning resulting in a dominant architecture in computer vision as well as other various domains. This paper provides a comprehensive survey of CNN-based deep learning, its methodologies, regularizations, and computational efficiencies. We also address the challenges and future directions of CNN. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article
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Recent Changes in the Signal System
Abstract: Recent years have seen big improvements in signal systems, thanks to fast progress in communication technologies, artificial intelligence, and hardware capabilities. Signal systems are very important for modern technology. They are the basis for many different uses, including telecommunications, transportation, industrial automation, and medical diagnostics. Signal systems are all about making, sending, processing, and understanding signals, whether they are analogue or digital, so that information may be shared easily. As …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Hybrid Digital–Analog Signal Processing Framework forEnhanced Data Transmission in Next-Generation Wireless Communication Systems
Abstract: The rapid advancement of next-generation wireless technologies such as 5G and 6G has created an increasing demand for high data rates, low latency, and energy-efficient communication systems. Conventional digital signal processing techniques, while flexible and accurate, often suffer from high computational complexity and power consumption, whereas analog signal processing provides low-latency and energy-efficient solutions but lacks adaptability and robustness. This paper proposes a novel hybrid digital–analog signal processing framework that …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 50–59 Read article
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A Study on CNN-Based Image Mosaicing
Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This work introduces a fundamental paradigm shift, proposing a deep convolutional neural network (CNN) architecture designed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article