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90 articles for “Computational Intelligence”
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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization
Abstract: Intravenous (IV) infusion therapy is an essential component of modern healthcare, widely used for administering fluids, medications, and nutrients in clinical settings. However, traditional infusion monitoring methods rely heavily on manual observation by nursing staff, which increases the risk of human error, delayed interventions, and excessive workload. The integration of Artificial Intelligence (AI) into IV infusion systems has introduced a transformative approach to real-time monitoring, predictive analytics, and automated alert …
Published in International Journal of Nursing Critical Care · Vol. 12, Issue 1, 2026 · pp. 10–18 Read article
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Internet of Thing
Abstract: We are entering a new era of the computing technology that many are calling the Internet of Things (IoT). Machine to machine, machine to infrastructure, machine to environment, the Internet of Everything, the Internet of Intelligent Things, intelligent systems call it what you want, but it is happening, and its potential is huge. We see IoT as billions of smart, connected “things” (a sort of “universal global neural network” in …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 3, Issue 1, 2017 · pp. 5–8 Read article
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Developments of Photonic Ferroelectric Ceramic Compose
Abstract: This article is a study of imposed interposed crystal allotropic modification underexposure of electricity. Ferroelectric photonic ceramic powder and films are usual studied in preparation from adoptive transduction in the same crystal based on electrical gradient. Ferroelectric ceramics and thin films used to be processed by the sol-gel method, where empirical variables of interest have been their chemical composition, constituent phases, and microstructure. Functional attributes made metal oxide compose like …
Published in International Journal of Composite Materials and Matrices · Vol. 7, Issue 1, 2021 · pp. 37–44 Read article
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Intelligent Approaches to Functional Material Development
Abstract: By empowering systems to carry out tasks like decision-making and problem-solving that call for human-like intellect, artificial intelligence (AI) is revolutionizing technology. A key enabler of this progress is functional materials, designed through materials engineering to meet the needs of high-performance technologies like semiconductors, sensors, and memory storage. These materials are vital in ensuring AI systems operate efficiently by providing the computational power, energy efficiency, and sensory capabilities required. The …
Published in International Journal of Energetic Materials · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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Intelligent Gear Inspection: Defect Detection through Digital Image Processing Algorithms
Abstract: A significant contributor to poor reliability and a source of humiliation for businesses are gear problems. The majority of the inspection procedures used in these businesses are laborious and manually. More thorough and accurate inspection procedures are needed to improve accuracy in finding gear problems. The present work fills this gap by implementing a Gear Defect Recognizer that uses local thresholding in conjunction with computer vision methodology to spot potential …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 13–21 Read article
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Trucks Overload Detector and Controlling
Abstract: Trucks going beyond the legal mass bounds upsurge the danger of traffic accidents and damages to the structure. They likewise result in out-of-line rivalry between transport modes and organizations. It is important to guarantee a truck compilation to weight guideline. New innovations are being created for increasingly productive overload screening and requirement. Motion is the new innovation which enables trucks to be said something the traffic stream, with no disturbance …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 1, 2019 · pp. 15–20 Read article
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Soft Computing Techniques for the Integration of Distributed Energy Resources (DERs)
Abstract: One of the most attractive uses of AI in the energy sector is the integration of Distributed energy resources. Distributed energy resources relate to grids, the more complex energy networks are becoming for utilities to operate and manage. Mechanisms such as load and generation forecasting, demand response, power quality management, and voltage regulation, which have traditionally been used to manage DERs and the grid, are not sufficient. This is where …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 1–16 Read article
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Artificial Intelligence Applications in Mechanical Engineering: A Pathway to Industry 4.0
Abstract: Abstract— The emergence of Industry 4.0 signifies a groundbreaking change in the industrial landscape, propelled by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). This period represents the convergence of digital technologies with conventional manufacturing practices, resulting in the development of intelligent, interconnected, and autonomous production settings. For mechanical engineering—traditionally focused on physical systems, manual design, and empirical approaches—this shift has brought about an …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
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A Review of AI and Machine Learning Techniques in Dew Point Pressure Prediction for Gas Condensate Systems
Abstract: Condensate gas reservoirs pose considerable management challenges due to their intricate phase behavior and the critical need for accurate predictions of dew point pressure (PDew). A precise determination of PDew is vital for optimizing production strategies, estimating reserves, and planning enhanced oil recovery operations. Traditional methods for PDew determination often involve experimental analyses that can be both costly and time-consuming, highlighting the necessity for alternative predictive models. This review consolidates …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 1, 2025 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Anomaly Detection Network for Surveillance Video
Abstract: Anomaly Activity is the prediction of a suspicious activity from a picture or video. This project would include using neural networks to detect suspicious human activity from real-time CCTV video. Human Anomaly Activity is a central issue in computer vision that has been researched for over 15 years. It is significant due to the large number of applications that can benefit from Activity detection. Human pose estimation, for example, is …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 13–20 Read article
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Leveraging Artificial Intelligence for Traffic Flow Optimization: A Case Study Approach
Abstract: AbstractTraffic congestion poses a significant challenge in urban environments, contributing to economiclosses, increased fuel consumption, environmental pollution, and diminished quality of life. Traditionaltraffic management approaches, such as pre-timed traffic signals and manual interventions, often failto adapt dynamically to fluctuating traffic conditions. This study explores the integration of artificialintelligence (AI) in traffic management to optimize traffic flow and reduce congestion. By leveragingAI-driven predictive models, deep reinforcement learning, and real-time traffic data, …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article
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Wireless Sensor Networks-Based Intelligent Transportation System
Abstract: Rising private vehicles in urban areas resulting more traffic and pollution in cities which requires an intelligent transportation system based on wireless sensor networks. Intelligent transportation systems (ITS) plays an important role in management of traffic. Wireless sensor networks is an emergent technology with an effective potential to overcome these difficulties and improves ITS. We will discuss their architectural and engineering challenges. The description of sensor node designed for sensing …
Published in International Journal of Broadband Cellular Communication · Vol. 4, Issue 1, 2018 · pp. 16–20 Read article
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Revolution in Mobile Communication by HC3 Technology
Abstract: ABSTRACT This article describes the idea of Human Centered Communication and Computing (HC3) technology. The aim of HC3 is to counterpoint communication and enhance human capabilities through interfaces that may convey a user’s ideas, sensations, sensitivity and intent. We have a tendency to find out biological data interfaces to alter folks, to act with data via increased senses and limbs. In this article, we discuss the future possibilities of this …
Published in International Journal of Broadband Cellular Communication · Vol. 5, Issue 1, 2019 · pp. 14–20 Read article
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A Study of Delta Modulation Techniques for Bandwidth- Efficient Signal Transmission
Abstract: Delta modulation is an important signal processing technique widely used in digital communication systems for efficient analog-to-digital signal conversion and bandwidth reduction. With the increasing demand for high-speed and low-complexity communication systems, bandwidth-efficient transmission methods have become essential in modern telecommunication networks. This study presents a comprehensive analysis of delta modulation techniques and their role in improving signal transmission efficiency in digital communication environments. The paper examines the operating principles …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 31–43 Read article
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 Read article
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Web Mining
Abstract: The advent of the World-Wide Web has overwhelmed home computer users with an enormous flood of information. To any point one can think about, one can discover bits of data that are made accessible by other web natives, going from individual clients that post a stock of their record accumulation, to significant organizations that work together over the Web. To be able to cope with the abundance of available information, …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 1, Issue 2, 2015 · pp. 1–10 Read article
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Harnessing the Potential of Chat Generative Pre-trained Transformers for Enhanced Dialogue Systems
Abstract: Artificial intelligence (AI) and machine learning have changed the scientific research scene in the last few years. Among these, chatbot technology has advanced significantly in recent years, particularly with the emergence of ChatGPT as a prominent artificial intelligence language model. This in-depth analysis explores ChatGPT's history, uses, main obstacles, and potential future developments. We start by looking at its inception, advancement, and underlying technology. Then, we look at its many …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 7–11 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article