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260 articles for “Data Pre-processing”
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Action Potential Monitoring Using Neuronanorobots: Neuroelectric Nanosensors
Abstract: Neuronanorobotics, a key future medical technology that can enable the preservation of human brain information, requires appropriate nanosensors. Action potentials encode the most resource-intensive functional brain data. This paper presents a theoretical design for electrical nanosensors intended for use in neuronanorobots to provide non-destructive, in vivo, continuous, real-time, single-spike monitoring of action potentials initiated and processed within the ~86 x 109 neurons of the human brain as intermediated through the …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 1, Issue 2, 2015 · pp. 20–41 Read article
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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 FPGA-Based Automatic Crash Detection and Airbag Deployment System
Abstract: Every year there are many people die or become injured due to car crashes around the world- -these injuries can vary from slight to severe. Airbags prevent car accident related injury and death. In order for the airbag to operate successfully (i.e., airbag to deploy properly, at the right speed, for the right amount of time) there has to be a decrease in the time that it takes to deploy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Facial Emotion Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and Haar Cascade classifiers. The suggested method uses CNN to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
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Sorption of Pb (II), Cd(II) and Zn(II) by synthesized nanocrystalline sodium potassium flurophlogopite (FGP)
Abstract: We have successfully synthesized nanocrystalline sodium potassium fluorophlogopite (FGP) crystals with controlled sizes from ≈ 25 nm to 100nm, using an organic tetrapropylammonium (TPA) hydroxide. We have been successfully synthesized material depends on the source of silicate and hydrothermal crystallization conditions. The synthesized materials were characterized by using different techniques such as X-ray diffraction, Energy Dispersive Analysis, Scanning Electron Microscope, Transmission Electron Microscopy and FTIR analysis. The use of sodium …
Published in International Journal of Composite Materials and Matrices · Vol. 9, Issue 2, 2023 · pp. 41–49 Read article
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GIS-Based Assessment of Flash Flood Hazard and Community Resilience in the Melamchi River Basin, Nepal
Abstract: Abstract: Flash floods are one of the most destructive natural hazards in mountainous regions due to their its rapid onset, high velocities, and short warning time. Erratic rainfall, cloudbursts, landslide, and climate-induced hydrological variability are the prime factors to trigger flash floods in the Himalayan region. The Melamchi River Basin in central Nepal has witness recurrent flash flood events, most notably the catastrophic 2021 flood. An Integrated hazard assessment and …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 12, Issue 1, 2026 Read article
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A Comprehensive Review of IoT-Enabled RC Boats for Real-Time Water Pollution Monitoring
Abstract: For all people today, drinking water is the most significant and precious resource. Real-time operations present new difficulties for drinking water utilities. Due to factors including dwindling water supplies, population growth, deteriorating infrastructure, etc., this problem developed. Better methods of checking the quality of the water are therefore required. The traditional approach to measuring water quality entails manually collecting water samples at various sites, followed by laboratory analytical procedures to …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 2, 2022 · pp. 20–27 Read article
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FPGA Improved I2C Protocol for Multiple Slave Device Using VHDL
Abstract: RTC, EEPROM, and an OV7620 image sensor are the slave devices that interact with the FPGA in this case (functioning as the I2C master device). Using the VHDL language, the process proceeds from system definition to functional design. The thesis presents the findings of simulated waveforms used for design verification. Additionally, hardware verification is carried out, and useful outcomes are shown. The results are compared with earlier reference work in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 · pp. 1–9 Read article
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FPGA Improved I2C Protocol for Multiple Slave Device Using VHDL
Abstract: RTC, EEPROM, and an OV7620 image sensor are the slave devices that interact with the FPGA in this case (functioning as the I2C master device). Using the VHDL language, the process proceeds from system definition to functional design. The thesis presents the findings of simulated waveforms used for design verification. Additionally, hardware verification is carried out, and useful outcomes are shown. The results are compared with earlier reference work in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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An Accurate Data Integrity in Edge computing
Abstract: Edge computing is the evolution and more-efficient form of Cloud computing and is the ability to process and store data faster, enabling for more efficient real-time applications. Since Cloud based storage is dependent on having an internet connection. If you want to access your data in your require time and place it will not possible without internet. It costs extra expenses for transferring and downloading records from the cloud. Also …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 25–28 Read article
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A Study on Machine-Learning-Driven Insight into theThermal Behavior of Polymers and Composite Materials
Abstract: The thermal performance of polymeric and composite systems underpins their suitability for aerospace, electronics, and energy‑storage applications, yet reliable prediction of temperature‑dependent properties remains a formidable challenge. In this work we present a data‑driven framework that harnesses modern machine‑learning (ML) techniques to forecast key thermal metrics – glass‑transition temperature (Tg), melting point (Tm), thermal conductivity (k), and decomposition onset (Td) – from a chemically informed descriptor space. A curated database …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article
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A Comprehensive Review of Metal Matrix Composites (MMCs)
Abstract: Abstract Metal Matrix Composites (MMCs) combine metallic matrices with reinforcing phases (ceramics, intermetallics, fibers, or particles) to achieve superior mechanical, thermal, and tribological properties compared with monolithic metals. This review surveys fabrication routes, reinforcement types, microstructural characteristics, mechanical and tribological behavior, machining challenges, applications across aerospace, automotive, electronics, and future directions including additive manufacturing, in-situ MMCs, and data-driven materials design. Critical challenges such as interface control, scalability, cost, and machinability …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Effectiveness of Structured Teaching Programme on knowledge and practice regarding life style modification to prevent hypertension among middle age adults
Abstract: ABSTRACT: A pre experimental study to assess the effectiveness of structured teaching programme on knowledge and practice regarding life style modification to prevent hypertension among middle age adults in selected rural area at district Hisar (Haryana) was conducted with the objectives to assess the pre-test knowledge score and practices score regarding life style modification to prevent hypertension among middle age adults and to evaluate the structured teaching programme regarding life …
Published in International Journal of Cardiovascular Nursing · Vol. 7, Issue 2, 2021 · pp. 34–41 Read article
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AN INTEGRATED COMPUTER-AIDED PROCESS PLANNING SYSTEM FOR THE MANUFACTURING OF A LEAF SPRING
Abstract: Computer-Aided Process Planning (CAPP) is a key enabling technology for integrating product design and manufacturing in a Computer Integrated Manufacturing (CIM) environment. This paper presents the development and implementation of an integrated, feature-based CAPP system for the manufacturing of an automotive leaf spring assembly. The proposed system bridges the gap between CAD and shop-floor activities by directly mapping design features to manufacturing operations. High-level manufacturing features such as base profiles, …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 10–23 Read article
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PATrIoT: Precision Agriculture Through Internet of Things
Abstract: The paper report is on the design of the sensor network when connecting agriculture to the IoT. Reliability, management, interoperability, low-cost and commercialization are considered in the design. Finally, we share our experiences in both development and deployment. This paper developed the decision support system to forecast agricultural production using IoT sensors. This system was also a unified system that supports the processes sowing seeds through selling agricultural products to …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 16–22 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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Implementation of Dropshipping Using Blockchain
Abstract: This research introduces a novel approach to dropshipping via integration of blockchain technology and smart contracts. Dropshipping is a business model where retailers avoid stocking products by directly fulfilling orders from wholesalers, and face challenges related to inventory management, understocking, overstocking, and financial risks attached. This also focuses on issues related to tampering of data and mishandling of products during the exit transits. Our study addresses these challenges by leveraging …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 29–34 Read article
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The Transformative Power of AI and Machine Learningin Education
Abstract: A revolutionary factor that evolves how learning is experienced and how educational systems function is the incorporation of artificial intelligence (AI) and machine learning (ML) in the classroom. Data- driven decision-making, administrative work automated processes, real-time feedback, and education personalization are all made possible by AI and ML technologies, which are no longer just found in research and industry. This study addresses the various ways that AI and ML can …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article