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276 articles for “Accuracy”
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Advances in Gender Classification from Facial Images Using CNNs: A Comprehensive Review
Abstract: Predicting age and gender from facial images is important for various uses, like social interactions, security, and customizing user experiences. Despite progress in facial recognition technology, getting accurate and reliable predictions is still a challenge. This paper reviews recent advancements in Convolutional Neural Networks (CNNs) for age and gender classification, comparing their effectiveness to traditional methods. CNNs excel in extracting features from images and have shown notable improvements in accuracy …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 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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Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
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Face and Speech Emotion Recognition
Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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Utilizing Remote Sensing and GIS for Water Quality Monitoring
Abstract: The integration of remote sensing and Geographic Information Systems (GIS) offers a sophisticated approach for monitoring and safeguarding water quality. This review examines how remote sensing technologies and GIS can be combined to observe key water quality indicators, such as turbidity, chlorophyll levels, and surface temperature. Remote sensing provides comprehensive, real-time data, which, when analyzed using GIS, enables detailed spatial examination and visualization of water quality patterns. This synergy enhances …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 1, 2024 · pp. 45–51 Read article
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Kinetic Modeling of Biomass Pyrolysis for Renewable Energy Production.
Abstract: Biomass pyrolysis is a promising technology for renewable energy production, offering a sustainable alternative to fossil fuels. This process involves the thermal decomposition of organic materials in the absence of oxygen, resulting in the generation of bio-oil, syngas, and biochar. Kinetic modeling of biomass pyrolysis is essential for optimizing the process and enhancing the yield and quality of the products. This abstract presents a comprehensive review of kinetic models used …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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AI-Based Fraud Detection in Financial Transactions
Abstract: Financial fraud continues to pose a severe danger to individuals, businesses, and the global economy, necessitating the development of effective and innovative detection and prevention approaches. This research study examines the use of artificial intelligence (AI) techniques to detect fraudulent conduct in financial transactions. This paper investigates the advancements, challenges, and courses of AI-based fraud detection in financial transactions through a thorough examination of the research, case studies, and practical …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 1–9 Read article
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Facial Recognition in Education: Revolutionizing Attendance Tracking for Enhanced Efficiency and Security
Abstract: The goal of this project is to develop a facial recognition-based attendance system for educational institutions to improve and modernize the current system and make it more effective and efficient than it was in the past. The distinctive features of the human face allow for individual identification. Since there is little chance of a face deviating or being duplicated, it is utilized to trace identification. The article also covers the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Biosensors Powered by Nanotechnology forContinuous Insulin Delivery and GlucoseMonitoring in Diabetes Management
Abstract: Diabetes mellitus is a chronic metabolic disorder that necessitates continuous glucose monitoring and precise insulin delivery for effective management. Traditional methods often fall short in maintaining the necessary levels of accuracy and convenience, thereby posing challenges in achieving optimal glycemic control. Nanotechnology-enabled biosensors have revolutionized this field by leveraging the unique properties of nanomaterials, offering significant improvements in sensitivity, selectivity, and biocompatibility. This article delves deeply into the transformative role …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 1, 2024 · pp. 13–24 Read article
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Air-Driven Sheet Metal Cutting System
Abstract: A fundamental component of all industries is the sheet metal cutting process. Typically, medium- and small-sized businesses will use a manually operated sheet metal cutting machine. Our product, "Pneumatically Actuated Sheet Metal Cutting," was designed and constructed to cut GI sheet metal with less time and high prison. Typically, sheet metals are cut manually, which takes more time and lacks accuracy. Further hydraulic devices are available for cutting sheet metal. …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 1, 2024 · pp. 30–44 Read article
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Automated Medication Dispenser with Alert Mechanism
Abstract: An increasing number of people are becoming older and developing chronic illnesses, which increases the demand for effective drug management programs. We introduce the Automatic Medicine Dispenser with Alert System, a revolutionary tool that has the potential to revolutionize the way individuals with complex treatment plans handle their drugs in answer to this pressing necessity. This state-of-the-art instrument aims to facilitate drug administration and promote adherence, improving patients' general health …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 46–54 Read article
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Smart Monitoring of Vibration in CNC Turning Tool Holders: Arduino-Based Sensor Interface
Abstract: Vibrations are a common problem in CNC turning operations, affecting the machine tool's overall performance and productivity. The geometrical accuracy and surface quality are reduced as a result of repeated vibrations, reducing tool life. Vibrations can now be sensed and responded, thanks to new advancements in electronic technology. The goal of this research work is to use a 3D accelerometer(sensor) to measure vibrations and determine the value of vibration and …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 7–27 Read article
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Facial Expressions Detection Using Machine Learning
Abstract: Facial expressions are necessary in human communication and understanding emotions. First and foremost, identifying emotions is a critical factor for many businesses to comprehend how their customers are responding to the things they have introduced. It can also be utilized to find out if the amenities provided to their staff are meeting their needs. Additionally, it has a plethora of other applications, such as utilizing a camera to identify someone's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 11–16 Read article
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Enhancing Business Efficiency with SAAS Solutions for Person Tracking and Inter Communication
Abstract: This abstract explores the versatile applications of software as a service (SAAS) products across several key business domains, including person tracking, communication (chatting), order and billing systems, customer management, and outstanding management. SAAS solutions have revolutionized person tracking by providing comprehensive tools for monitoring and managing personnel activities in real time, from attendance tracking to performance evaluation, thereby fostering a productive and accountable workforce. Similarly, SAAS-based communication platforms have transformed …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 15–21 Read article
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Robotic Surgery in Healthcare Setting: Application, Current Advancements, and Future Perspectives of Robotic Surgery
Abstract: Robotic surgery, utilizing computer-controlled robots, has transformed minimally invasive procedures. This review delves into its evolution, applications, and future impact on healthcare. The Da Vinci system is globally employed, providing surgeons’ precision and flexibility. Originating in the late 1980s, robotic surgery has expanded across clinical domains. Specialized training is essential for surgeons entering this field. Various types of robotic surgeries offer benefits such as smaller incisions, quicker recovery, and improved …
Published in International Journal of Medical Surgical Nursing · Vol. 7, Issue 1, 2024 · pp. 47–52 Read article
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Simultaneous Analysis of Radar Look Angel and Placement of Features to Identification of Terrain Feature (Mianrahan Basin in West of Iran
Abstract: In this study, the effect of look angle and placement of feature than radar sensor to detection of the effects of geomorphological features was conducted simultaneously. In this study, the C-band of satellite images Sentinel -1 was used. The images were captured in two different look angles and two different look directions. Four features such as valley, blade, alluvial fans and debris was extracted by visual interpretation of the images, …
Published in International Journal of Landscape Planning and Architecture · Vol. 3, Issue 1, 2017 · pp. 1–10 Read article