Search
1967 articles for “efficient” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Historical X-Ray on Barrier to Girls Right to Education in Northern Nigeria
Abstract: This paper focuses on exploring the barrier to girls right to education in northern Nigeria. The paper analyzed that girls are discriminated in many aspects of life; it is belief that the girls are second-class citizen or mere infidel. These bring tremendous misrepresentation of girls and women from both family, schools, institution and the society in general. The paper used secondary sources of data and suggested that educational barrier, socio-economic, …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 10–18 Read article
-
Exploring Artificial Intelligence in the Finance Sector
Abstract: Artificial intelligence (AI), machine learning (ML), and progressive algorithms illustrate a substantial technological leap with wide applications across sectors like automobiles, healthcare, gaming, finance, entertainment, and more. The foremost objective of AI is to produce intelligent, independent systems capable of self-sustaining decision-making. This study delivers a concise summary of AI, concentrating on its transformative influence on finance, especially within banking, asset firms, derivatives markets, and insurance enterprises. It summarizes the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 16–23 Read article
-
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
-
6G Frontier Exploration Analysis: Technologies, Vision, Insight and Challenges
Abstract: 6G wireless communication represents a revolutionary leap forward in connectivity, offering unprecedented speed, reliability, and security. Emphasizing machine-to-machine communication, terahertz frequencies, and advanced security protocols, 6G aims to create a data-driven society where connectivity is instant and limitless. By integrating cutting-edge innovations such as artificial intelligence, 6G has the capacity to reshape various sectors, including healthcare, urban planning, and manufacturing, facilitating smarter and more efficient systems. The current paper provides …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
-
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
-
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
-
CNC-Based Rangoli Drawing Machine
Abstract: The CNC based Rangoli draw machine is an artful fusion of technology and traditional artistic expression. Those automated device, utilizing computer numerical control (CNC) principles, is designed for crafting intricate designs on sand or creating vibrant Rangoli patterns with precision and efficiency. Users can program the machine with their desired designs, specifying every detail, and watch as it meticulously dispenses sand or colored materials onto the canvas. It offers a …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 11–17 Read article
-
Integrating Blockchain with IoT: A Survey of Security Techniques and Future Directions
Abstract: Data is a resource that is more crucial than ever for each company that comes to mind. The ability to swiftly and efficiently collect data anywhere is made possible by current breakthroughs and trends such as cloud computing, IoT, data analytics, and others. One of those concerns is the need to strike a balance between privacy and the use of data for security in applications such as IOT, counterterrorism, and …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 25–31 Read article
-
Effect of Bismuth doping on Thiourea crystals : A NLO Material
Abstract: Single crystals of pure and thiourea-substituted bismuth were successfully grown using the slow evaporation solution growth technique at ambient temperature. The impact of thiourea doping on the crystal properties was thoroughly investigated. Solubility tests for the grown samples were conducted at various temperatures, providing crucial data on the dissolution characteristics. Structural characterization of these crystals was performed using single crystal X-ray diffraction (XRD), confirming their crystalline nature. Energy-dispersive X-ray spectroscopy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 10–16 Read article
-
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
-
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
-
Low-cost Vehicle Data Acquisition System
Abstract: The Vehicle and Driver Data Acquisition System Kit is an integrated solution designed to capture, analyze, and store essential information related to both vehicles and their drivers. This comprehensive kit incorporates cutting-edge sensors, communication modules, and data processing capabilities to provide a robust platform for real-time monitoring and post-event analysis. In the domain of electric vehicles (EVs), the need for effective data collection systems has become increasingly crucial. The current …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 9–14 Read article
-
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
-
Integration of IoT and Environmental Science: Vehicle Emission Monitoring Perspective
Abstract: — Since automobiles are the primary source of environmental pollution, an increase in automobile ownership also results in an increase in air pollution. Gases such as methane, butane, LPG, smoke (MQ2), carbon monoxide (MQ7), and hydrogen gas (MQ8) are all released from the vehicle as it smokes. Cars produce around half of the MQ2, MQ7, and one-fourth of the MQ9 in our environment, which contributes to global warming. The number …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 1–9 Read article
-
Integration of Computer Vision with Raspberry Pi in Surveillance Robotics
Abstract: An enhanced method for tracking the weather at a specific location and having the data viewable from anywhere in the world is the system described in this paper. The technology behind this is the Internet of Things (IoT), a state-of-the-art and efficient way to connect devices to the internet and connect everything in the world in a network.. Things like electronic devices, sensors, and vehicle electronics could be found here.Temperature, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 22–27 Read article
-
Centre Stage of Wireless Sensors in Healthcare: Application and Remote Patient Management
Abstract: The efficiency of wireless sensors in healthcare is greatly influenced by technological progress. The capabilities of these devices have been improved by advancements in wireless communication, data analytics, and sensor technologies. Patients may wear more comfortable, smaller, and more precise modern sensors. They have the ability to track many different physiological characteristics, ranging from simple vital signs to more intricate biomarkers. Understanding the massive volumes of data produced by wireless …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 10–16 Read article
-
Fuel Less Slingshot Rocket to Flies a Certain Distance Using Costless and Ecofriendly Fuel
Abstract: In this study, the rocket travels a certain distance by utilizing the force provided by the alternative of using potassium nitrate (KNO3) and sugar (C12H22O11). this initial burst reduces the amount of fuel needed for the rocket to achive the necessary speeds and altitudes. Slingshot physics involves using stored elastic energy to shoot something at high speed. This energy comes from specially made elastic bands for slingshots and is initially …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 14–19 Read article
-
Time-Series Analysis of Uber Ride Trends
Abstract: This article provides an in-depth analysis of Uber's data analytics, clarifying its crucial role in revolutionizing the transportation industry. It provides vital insights for stakeholders by carefully examining rider patterns, driving behaviors, and market dynamics. This study provides a thorough knowledge of Uber's impact on urban transportation and socio-economic landscapes by combining existing research and proposing fresh approaches. Uber is a digital company that has made multiple attempts to leverage …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 34–38 Read article
-
A Machine Learning-based Analysis of Climate Change
Abstract: Climatic variations are a pressing global challenge that demands immediate and comprehensive attention. A wealth of articles has been published on climate change mitigation and adaptation, yet there remains a need for innovative methods to explore the complexities of climatic variations and to devise more efficient and effective strategies for adjustment and alleviation. With technological advancements, machine learning (ML) and deep learning (DL) approaches have derived significant popularity across various …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 1–10 Read article
-
Sentinels of Safety: A Robotic Revolution in Autonomous Landmine Detection for Humanitarian Resilience
Abstract: Landmine Detection Robotic Vehicle Project is to create an autonomous robotic system that can identify landmines in dangerous locations. The rover navigates through a variety of terrains by using modern sensor technology, such as metal detectors and infrared photography, to detect buried landmines. The rover can distinguish between potentially dangerous items and harmless ones. The principal aim of the project is to optimise the efficacy and security of landmine removal …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 28–34 Read article