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1953 articles for “experience” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Depiction-inspired Recipe Generator Using Deep Learning
Abstract: Machine learning has become a crucial part of modern life, influencing various domains. Its applications range from enhancing data-driven business decisions to enabling autonomous vehicles. Advances in machine learning have brought about notable changes in how we interact with technology. In the culinary world, the idea of creating food recipes from images has gained increasing interest. This entails the development of innovative systems that seamlessly convert visual input, such as …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 47–55 Read article
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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
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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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HYGROTHERMAL ANALYSIS OF FUNCTIONALLY GRADED MATERIAL PLATES
Abstract: This study introduces a novel higher-order shear deformation theory, tailored to accommodate various loading conditions experienced by laminated plates. The theory is specifically designed for the hygrothermal analysis of functionally graded plates. Three homogenization methods are used to calculate the Young's Modulus that is Power law distribution, The exponential distribution and The Mori-Tanaka scheme. Navier's solution scheme is used for flexural analysis of Functionally graded plates simply supported at all …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 44–62 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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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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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
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A Study On Improving The Performance Of Concrete Using Coconut Fibers
Abstract: The aim of this study is to explore the incorporation of coconut fiber into M30 grade concrete and assess its impact on the strength characteristics. A literature review of different fibers is conducted and highlighting the working parameters. This research focuses to explore the efficacy of employing coconut fibers as micro reinforcement in concrete. The investigated properties encompass the compressive strength of the coconut fibers reinforced concrete (CFRC) at different …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 26–36 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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Development of a Machine Learning and Artificial Intelligence Based Model Aimed at Forecasting the Prognostic Impact of C-Reactive Protein in Myocarditis
Abstract: The specific role of inflammation markers in myocarditis remains uncertain. We investigated the diagnostic and prognostic significance of C-reactive protein (CRP) levels at the initial diagnosis among myocarditis patients. Our retrospective study enrolled patients clinically suspected (CS) or biopsy-proven (BP) with myocarditis, with available CRP data at diagnosis. We collected patient information, including clinical, laboratory, and imaging findings at diagnosis and follow-up visits. We utilized machine learning methods, specifically random …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 12–24 Read article
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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
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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A Comprehensive Guide to Application Development Using Flutter
Abstract: Developers are forced to either write the same application many times for other operating systems or use a similar but inferior solution that compromises native performance and accuracy in favor of portability. Flutter is a toolkit developed by Google that helps programmers create apps that look and feel great on different devices like phones, tablets, and computers. What is special about Flutter is that one can write code once and …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 35–41 Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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Tropospheric Variation of Point Refractivity Gradient and Geo-climatic Factor over a Coastal Location in Tropical Nigeria
Abstract: Accurate assessment of refractivity gradient and Geo-climatic factor is crucial for maintaining reliable radio signal propagation in clear-air environments. These parameters are essential for determining the fade margin necessary to ensure a stable and effective wireless radio link, given the unstable nature of the atmosphere through which the signals travel. It is crucial to have accurate knowledge of these characteristics, particularly at microwave antenna heights of around 70 meters, in …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 28–42 Read article
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Sense Wear: Empowering Accessibility for the Visually Impaired
Abstract: “Sense Wear: Empowering Accessibility for the Visually Impaired ”This paper presents a novel approach to enhancing accessibility for visually impaired individuals through the integration of computer vision technology with wearable garments, specifically hoodies. The proposed system leverages object recognition algorithms to assist users in identifying and navigating their surroundings independently. By embedding a small camera and processing unit within the hoodie, real-time visual data is captured and analyzed to detect …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Gesture-Based Virtual HCI: Enhancing Computer Interaction
Abstract: In a time when human-computer interaction (HCI) is changing quickly, generating user-friendly interfaces is essential. This paper presents a new technique to HCI using virtual mouse and keyboard systems based on gesture recognition. This system replaces classical input devices by permitting users to control their computers with hand gestures using computer vision techniques. We created an optical mouse and keyboard technique that can recognize hand gestures recorded by a regular …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Implementing Smart Voting Systems: Challenges and Opportunities
Abstract: This article offers a detailed explanation of the process for creating an innovative electronic voting system that utilizes the flexibility and efficiency of the Raspberry Pi. This method aims to improve voting security, transparency, and user-friendliness by employing digital technology and a mechanism called the Voter Verified Paper Audit Trail (VVPAT). The proposed system comprises several components, including a Raspberry Pi for control, candidate selection buttons, a camera for voter …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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ColorCraft: Using Psychology to Create Meaningful Interior Designs
Abstract: This research delves into the crucial role of color psychology in interior design, which profoundly influences the atmosphere, mood, and perception of a space. By scrutinizing the connection between color and psychology, designers can effectively craft environments that evoke desired emotions and behaviors in occupants. The paper thoroughly examines existing literature on color psychology, elucidating how different colors provoke specific emotional and physiological reactions. It also explores the cultural and …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 20–27 Read article
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Open AI Chat GPT in Educational System: Evaluating the Efficacy of AI driven Learning
Abstract: This research delves into the effects of implementing OpenAI ChatGPT into educational systems and how it affects the results of student learning. The cutting-edge natural language processing model known as OpenAI ChatGPT has the ability to provide adaptive and individualized learning experiences, which might completely transform conventional teaching approaches. The purpose of this research is to determine if ChatGPT is more effective than more conventional approaches in enhancing students' interest, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article