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1974 articles for “Approaches” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Enhancing Tourism with Augmented Reality
Abstract: The integration of Augmented Reality (AR) technology into the tourism sector has created new opportunities for improving how travelers interact with their environment. This study explores the innovative idea of using AR technology to transform the tourist experience by offering a seamless combination of interactive 3D models, historical information, and navigation assistance. The proposed concept centers on using AR-enabled QR code scanning to provide tourists with an immersive 360-degree exploration …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 9–14 Read article
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Implementation of Human Gesture Recognition Using CNN
Abstract: A gesture popularity system based entirely on convolutional neural networks (CNNs). Preprocessing techniques include segmentation, polygonal approximation, contour construction, morphological filters, and resource characteristic extraction. Various convolutional neural networks are employed for training and testing, with results compared to existing architectures and protocols. All generated measurements and convergence graphs produced at any point during education are examined and contested in order to verify the reliability of the approach offered. Our …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 24–37 Read article
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Remote Controlled Boat for Water Pollution Monitoring
Abstract: The global issue of water quality degradation caused by pollution has become a critical environmental concern. Leaving water unchecked for an extended period make it unfit for human needs and eradicate the entire water ecosystem. Water being considered as a vital element in sustaining living things need to be protected. To address this challenge, novel technological solutions are being devised to effectively monitor and manage water resources. This study introduces …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 1, 2024 · pp. 34–43 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Multi-factor Fused Lightpath QoT Prediction for Optical Networks: A Multiple Reservoir Analysis Strategy
Abstract: Investigating the channel quality of transmission (QoT) in-depth is crucial for responsive and instant transparent optical network management. However, current lightpath QoT predictions are devoted to univariate modeling. Due to the QoT metrics complicated time-varying process and the existing effects of inter-channel factors, despite the use of an advanced and efficient echo state network (ESN), it is difficult to obtain ideal results in univariate prediction mode. Thus, this paper considers …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 28–34 Read article
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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Food Insecurity: A Growing Threat to Nigeria’s National Security
Abstract: In Nigeria, the topic of food security has played a significant role in the national security equation. The study argues that though the strategic conception and approach are important in the articulation of threats analysis, the non-strategic conceptions like food security or insecurity are also important. It also examines the1erformance of this sector and the extent to which it could be employed as a catalyst to the defence of national …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 57–65 Read article
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Vault Fortify: A Secure Data Sharing Platform
Abstract: In an era marked by heightened concerns over privacy and security, the need for innovative approaches to data sharing platforms has become increasingly imperative. This paper presents StealthChat, a novel solution that combines steganography techniques with peer-to-peer (P2P) architecture to establish a secure and decentralized communication environment. Leveraging TypeScript, StealthChat offers users a seamless and intuitive interface for real-time data sharing while prioritizing privacy and confidentiality. The core architecture of …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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Effectiveness of Educational Module on Impact of Internet Addiction Among Adolescents
Abstract: Background of the study: Internet addiction involves excessive or unregulated obsessions, urges, or behaviors related to computer and internet usage, which result in negative consequences such as impairment or emotional distress. This phenomenon has garnered heightened interest among both the general public and researchers, a trend that mirrors the expansion of computer and internet availability. Aim: To assess the efficacy of a structured educational program addressing internet addiction and its …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 32–37 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques
Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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Leafguard: Smart Plant Health Detection
Abstract: Machine learning techniques, including traditional (shallow) ML, deep learning (DL), and augmented learning (AL), are being increasingly utilized for leaf disease classification. These methods involve feature extraction, data augmentation, and transfer learning to enhance model effectiveness and reduce the need for labeled data. The success of machine learning approaches in this domain hinges on the quality and quantity of data available. LeafGuard is a cutting-edge device with intelligent sensing systems …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 32–39 Read article
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Effectiveness of Deep Breathing Exercise on Respiratory Parameters Among Post Extubated Patients Admitted in ICUs
Abstract: Introduction: Deep breathing exercises may be used to restore lung oxygenation ventilation function and are anticipated to enhance respiratory parameters. Aim: This study was done to examine the effectiveness of deep breathing exercise on respiratory parameters among post extubated patients. Methodology: A quasi experimental (pre-test, post-test control group) with quantitative approach study was conducted to assess the effect of deep breathing exercise on respiratory parameters among 30 post extubated patients …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 25–31 Read article
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Role of Functional Regenerative Trilaminar Scaffold Dressing in Wound Bed Preparation
Abstract: Advancements in wound healing have incorporated tissue regeneration therapy as a crucial tool for managing both acute and chronic wounds. Bio constructs designed to facilitate wound regeneration utilize natural, artificial, or hybrid materials, collectively referred to as regeneration scaffolds. The components of regeneration scaffolds play a crucial role in enhancing the skin's natural self-renewal abilities and accelerating the healing process. These scaffolds are designed to provide essential growth factors and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 70–75 Read article
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Surface Level and Underwater Waste Removal System
Abstract: The paper introduces novel approach for surface and underwater waste collection, impact of water pollution can be devastating, affecting aquatic ecosystems, human health, and economies. Pollutants can harm aquatic plants and animals, disrupt ecosystems, and degrade water quality, making it unsafe for drinking, swimming, and other activities. Waterborne illnesses can also spread because of contaminated water, impacting groups of people who depend on tainted water supplies for hygiene and drinking. …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 2, 2024 · pp. 30–35 Read article
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Progeria Syndrome Unveiled: A Scientific Odyssey into Premature Aging Mechanisms and Therapeutic Frontiers
Abstract: Progeria, or Hutchinson-Gilford Progeria Syndrome (HGPS), is a rare and fatal genetic disorder in childhood, exhibiting features akin to premature aging. Despite normal appearances in infancy, affected children face accelerated aging with distinct facial characteristics, including micrognathia, dental malformations, lower body weight, early hair loss, decreased joint mobility, lipodystrophy, etc. The cause of HGPS is a point mutation that occurs at the exon 11 of the LMNA gene which normally …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 52–68 Read article
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Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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A Novel Solution to Oral Hygiene
Abstract: This paper proposes a novel approach to oral health monitoring through the development of a smart toothbrush equipped with a camera, pH sensor, and temperature sensor. The integration of these sensors allows for real-time monitoring and early detection of potential oral health issues such as cavities, gum disease, pyorrhea and enamel erosion. The camera provides visual data for assessing plaque buildup and other visible signs of oral health problems, while …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 29–34 Read article
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Investigating the Effect of Rational Emotional Behavioral Therapy Training on Sensitivity in Women’s & Mutual Relationships
Abstract: The topic of Haaz's research is to investigate the effect of rational-emotional behavioral therapy training on sensitivity in women's mutual relationships. The purpose of this research is to prepare and compile a program in which the concepts of the rational-emotional behavioral therapy approach are used in order to investigate sensitivity in women's mutual relationships after the implementation of its training to women. The statistical population includes 120 women with risky …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 18–25 Read article
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Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article