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629 articles for “computational”
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PERFORMANCE EVALUATION COMPARISON OF LMS AND NLMS ALGORITHM FOR AEC IN SPEECH PROCESSING
Abstract: ABSTRACTAn acoustic echo cancellation is a technique used to decrease the acoustic noise in corrupted speech signal. Adaptive filter is using to cancel the acoustic echoes. For better conversation in telecommunication application to achieve the control of acoustic echoes is important and for the proposed acoustic canceller echo algorithm is used to reduce unwanted noise. There is a requirement for more than thousands taps in acoustic echo path so this …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 2, 2019 · pp. 9–19 Read article
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A Comprehensive Approach to Design and Implement a Fast FIR Filter for Signal Processing Applications
Abstract: Signal processing, communications, and computers all rely heavily on the field of digital signal processing (DSP). In DSP important application is Finite impulse response (FIR) filter. The initial objective of this inquiry is to present an approach for an improved framework of a FIR digital filter through the programme level to the hardware level. It influences the decision on design approaches, architecture, and the efficient use of hardware. The window …
Published in International Journal of Microwave Engineering and Technology · Vol. 9, Issue 1, 2023 · pp. 1–19 Read article
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Cyber Crime: Description and Differentiation
Abstract: We are living in the Modern Era. Our lives are made easier and more comfortable in the modern world. The modern world has given rise to a wide range of crime. One of them is cybercrime. Cybercrime is an all-too-common occurrence around the world. People engage in cyber crime by disrupting networks, stealing others' valuable and private data, documents, hacking bank details and accounts, and moving money to their own …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 35–39 Read article
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Performance Analysis of Gradient-Based Focus Measures in a Parallax Affected SFF Scenario
Abstract: Abstract For scene reconstruction, shape from focus (SFF) is a popular technique in the field of computer vision. This is the fact that the SFF technique is based the focus levels of the pixels of the image preserves depth information. Conventionally, when there is a relative motion between the camera and the scene, SFF is implemented by using telecentric lenses, which avoid parallax effects. This becomes the chief component for …
Published in International Journal of Computer Aided Manufacturing · Vol. 1, Issue 2, 2016 · pp. 1–12 Read article
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Optimization and Analysis of Pulsation Dampener
Abstract: This paper presents a new method for generating computer-aided models and analysis of pulsation dampeners used in fluid power systems to reduce vibration. Pulsation dampeners are widely used in different energy systems to measure the backlash that is driven by power pumps. The vibrations caused by the power pumps in the water system can be strong enough to cause structural damage to the pipes if the pulsation dampener is not …
Published in International Journal of Computer Aided Manufacturing · Vol. 6, Issue 1, 2020 · pp. 53–56 Read article
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A review on Identification of Block Feature Through Step
Abstract: One of the major challenges in the implementation of CIM, which is anticipatedto meet the needs of the present manufacturing industry in terms of completeautomation of its operations, is the combination of CAD package and CAM system viaCAPP. To achieve complete automation, product data created throughout the designand modelling process and saved in the database of CAD packages (systems) shouldflow directly to CAPP and from CAPP to CAM for seamless …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 15–20 Read article
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Simulation of Local Area Network (LAN) By Using Packet Tracer as a learning tool
Abstract: Today, we utilise Computer systems to accomplish both our professional and leisure requirements.The majority of organizations rely on their correspondence, structure, modernization, online business solutions, and other processes to function as efficiently as possible. The best most fundamental PC system, according to many firms, is LAN, which is capable of helping connect systems in different geographic locations. A LAN enables efficient cost sharing of high computational information forklifts, such as …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 2, 2022 · pp. 19–25 Read article
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Diesel Engine Combustion and Emission Characteristics Study, Taking into Account the Potential of Biogas Substitution for the Purpose of Enhancing Environmental Cleanliness and Promoting Health
Abstract: Necessity for alternative fuels arises from the escalating energy requirements and the detrimental effects of fossil fuel emissions on environmental well-being. Alternative fuels have been extensively researched to improve energy efficiency. A study examines how alternative fuel affects compression ignition (CI) engine performance, pollution, and combustion. Biogas is investigated as a diesel engine fuel substitute in this study using computational fluid dynamics (CFD). Upon doing a thorough examination of the …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 9, Issue 1, 2023 · pp. 24–39 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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Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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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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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Recent Advances in the Development and Performance Optimization of Advanced Metallic Alloys
Abstract: The continuous demand for high-performance materials in aerospace, automotive, energy, and biomedical industries has accelerated research and development in advanced metallic alloys. Metallurgy and alloy design play a crucial role in achieving superior mechanical, thermal, and chemical properties while maintaining cost efficiency and sustainability. This study presents a comprehensive overview of recent advances in metallic alloy development, focusing on novel alloying strategies, microstructural control, and performance optimization techniques. Emphasis is …
Published in International Journal of Metallurgy and Alloys · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Intelligent Communication Networks for Telematics and Telemetry Applications: A Comprehensive Review
Abstract: Intelligent communication networks have become a fundamental component of modern telematics and telemetry systems, enabling reliable, real-time, and data-driven communication across various industrial, transportation, healthcare, and environmental monitoring applications. The rapid growth of wireless communication technologies, Internet of Things (IoT) devices, cloud computing, and artificial intelligence has significantly enhanced the efficiency, scalability, and adaptability of telematics and telemetry infrastructures. This review paper presents a comprehensive analysis of recent developments in …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 46–57 Read article
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DEVELOPING A DRIVER DROWSINESS DETECTION SYSTEM (DDDS)
Abstract: Driver drowsiness accounts for over 18% of all traffic accidents in India, making it a major contributing factor. This study proposes a real-time, edge-based Driver Drowsiness Detection System (DDDS) that detects early fatigue signs and alerts drivers prior to accidents. The system employs a multimodal, bimodule strategy. In order to track face traits such eye closure, blink rate, yawning, head position, and gaze direction, the first module uses computer vision. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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Safety, Toxicology, and Regulatory Science of CT Nano‐Contrast Agents in Radiology
Abstract: Nanoparticle-based contrast agents for X-ray computed tomography (CT) seek to overcome limitations of conventional iodinated small-molecule media but raise distinctive safety, toxicology, and regulatory science questions. Nano–bio-interactions specific to CT nanocontrast include reticuloendothelial system (RES) uptake, long-term hepatic and splenic retention, size-dependent renal versus hepatobiliary clearance, and potential immunogenicity and genotoxicity, all strongly influenced by particle composition, size, shape, surface charge, and coating chemistry. Robust preclinical evaluation requires harmonized in …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 36–47 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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The Principal role of Carbon nanostructures and quantum size effect onquantum Gravity wave and Space applications
Abstract: Carbon bears several important nanostructures including carbon quantum dots, Carbon nanotube,fullerene, and Graphene. These nanomaterials are sensitive and wide area of research innanotechnology era and nanomedicine. The possibility of sensing, simulating, and performingquantum computation at nanoscale makes carbon nanostructures quit suitable in quantumteleportation, space probe studies, and artificial breathing. This research is focused on the impactof such carbon based structure and quantum size effect on the quantum gravity waves. Thus, …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 11, Issue 2, 2025 Read article
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CAE Analysis and Material Selection for Chassis of 4-Wheel Efficycle
Abstract: ABSTRACT This paper presents a comprehensive Computer-Aided Engineering (CAE) analysis and material selection study for the chassis of a four-wheel Efficycle — a hybrid human-electric powered vehicle designed for student competitions and sustainable mobility applications. The objective of the study is to evaluate the structural integrity, stiffness, and crashworthiness of the chassis under various loading scenarios including front impact, side impact, rollover, and torsional loads. Using CAD models developed in …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 9–18 Read article
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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