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275 articles for “Language modelling”
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VLSI Based Traffic Light Controller
Abstract: This study details the development and realization of an advanced traffic light control system utilizing VHDL (Very High-Speed Integrated Circuit Hardware Description Language) in conjunction with FPGA (Field Programmable Gate Array) technology. The system is designed to regulate a four-way intersection, with one primary high-traffic road intersecting with a less congested side road. To enhance traffic efficiency and minimize idle times, the model incorporates intelligent features such as a vehicle …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 40–47 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Information Security Risk Assessment Evaluation Applying AHP
Abstract: Information security has turn into a vital issue to most firms, organizations, or governmental institutions today. Anyone can transfer any data through a borderless world that causes great risk for everything connected to network. In this environment, information risk assessment is essential approach to monitor the specific threats for individuals/organizations, beside to identify and emphasize information. Nevertheless, organizations confront some problems in selecting most convenience method in meeting their needs. …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 3, 2020 · pp. 21–33 Read article
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Machine Learning Using Python
Abstract: Machine learning (ML) is a subset of artificial intelligence (AI) that enables software applications to become more accurate at predicting outcomes without explicitly programming them to do so. Machine learning algorithms predict new output values by using historical data as input. In this project, we have used data from the 1994 U.S. Census to model people's income using numerous supervised algorithms of your choice. The best candidate algorithm will then …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 25–37 Read article
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Animated Transient Response of High Voltage Power Line Towers Equipped with Nonlinear Footing Resistances
Abstract: This study focuses, among other objectives, on the use of animation techniques for visualizing the electromagnetic transients in high voltage power line towers. The model includes parameters such as the tower’s footing resistance and its location-dependent surge impedance. It describes the governing algebraic/partial differential equations expressed in terms of the current and voltage distributions as functions of time and location. The transients are assumed initiated by a lightning discharge of …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 44–52 Read article
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AI Powered Invention in Pharmaceuticals Boosting Innovation
Abstract: Artificial intelligence has the potential to transform the drug discovery process, making the process more efficient, accurate and faster. But the success of artificial intelligence depends on the availability of good data, resolution of ethical issues, and awareness of the limitations of artificial intelligencebased methods. The present article examined the benefits, challenges, and shortcomings of skills in the workplace and suggested strategies and practical actions to overcome current challenges. Data …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 102–107 Read article
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Standard for Exchange of Products (STEP) based feature Recognition System for Prismatic Parts
Abstract: Feature extraction is considered as the bridge between Computer Aided Design (CAD) and Computer Aided Process Planning (CAPP). This work is concerned with understanding the problem of how to manipulate and extract information from CAD solid models by using Standard for Exchange of Product data model (STEP) files and its further use in downstream manufacturing operations. Emphasis is placed on recognizing and classifying manufacturing features from the Boundary Representation (BREP) …
Published in Journal of Production Research & Management · Vol. 1, Issue 1-2-3, 2011 · pp. 73–91 Read article
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Website Summarization Using Deep Learning
Abstract: They are a lot of websites, articles and blogs on the internet with a lot of textual information it is sometimes impossible to read all of them, without knowing the underlying summary of the whole text. The whole concept is to reduce or minimize the entire Textual information into a small summary of important information present in the documents so that we get an idea of what the blog or …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 7–12 Read article
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Digital PID Chip Design and FPGA Synthesis
Abstract: The industrial applications follows the control operations based on closed loop system due to their stability and controllable desired response. The proportional-integral-derivative (PID) controller is one the most adopted controller in dynamic control systems. In some industries, specific PID controllers are used for particular control. The PID control is used for early days staring form mechanical and pneumatic designs, and its implantation is based on analog circuits using transistors. There …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 2, 2018 · pp. 13–19 Read article
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Voice Assistant Based On AI
Abstract: Voice control is a significant emerging element that is revolutionizing how people can live. The voice assistant is frequently utilized in laptops and cellphones. AI-based Operating systems with built-in voices that can detect human speech are known as voice assistants. The voice assistant will collect sounds from the microphone, translate it to text, and send it over GTTS (Google text to speech). The English-language audio file created by the GTTS …
Published in Recent Trends in Programming languages · Vol. 9, Issue 2, 2022 · pp. 18–26 Read article
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Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges
Abstract: The incorporation of artificial intelligence (AI) into robotics has transformed the industry by greatly improving robots' capacity to carry out complex and autonomous functions in a wide range of sectors. This paper explores the evolution, applications, and challenges associated with AI-driven robotics. It examines key AI methodologies employed in robotics, including machine learning, natural language processing (NLP), computer vision, and planning/control algorithms, which enable robots to perceive, learn, and interact …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 31–43 Read article
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Depression Detection Using Machine Learning: A Comprehensive Review
Abstract: Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods. With the growing availability of digital behavioral data and significant progress in machine learning (ML), new possibilities have emerged for the automated detection of depression. This review offers a detailed examination of recent advancements in ML-driven approaches to identifying depressive symptoms. It covers a range of …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
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Real-Time Browser-Based Early Warning System for Cyberbullying Detection in Online Platforms
Abstract: The rise in social networking through internet-based communication tools, Instagram, and YouTube, to name a few, significantly increases the risk of cyberbullying, thereby increasing psychological trauma on users, especially children, through adverse emotional states like anxiety, depression, etc. For a long time, researchers have been enhancing detection tools to counter cyberbullying, but their ability to detect only after the fact, along with limited support for English-based architecture, is a major …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 09–15 Read article
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Regression Analysis of Research Data using R Programming
Abstract: ABSTRACTThe goal of the review paper is discussing the relationship between various types of regression analysis whose output was sufficiently analyzed using R programming. The primary purpose of this paper is to explain the relationship of linear, multiple, quantile and polynomial regression models to achieve final conclusion with different data sets. Therefore, this paper presents the easiest way of regression analysis commands and R programming strengths for of data analysis. …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 42–50 Read article
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A Medical Expert System to Manage Disease using Oversampling and Decision Tree
Abstract: Now-a-days modern technology is joining hands with traditional system of medical diagnosis and treatment to alleviate health related problems faced by modern age due to its lifestyle and hectic work pressure. Therefore, it is paramount to develop a system that can identify the major causes of health related problems beforehand, so that people can follow some precautionary measures to prevent those causes and can have hassle free life. Decision tree …
Published in Recent Trends in Programming languages · Vol. 7, Issue 1, 2020 · pp. 27–33 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
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Comprehensive Review of Moebius Syndrome: Clinical Landscape, Etiology, and Therapeutic Challenges
Abstract: Moebius syndrome, a rare congenital neuromuscular disorder, presents with non-progressive facial weakness, limited eye abduction, and diverse manifestations affecting cranial nerves. This comprehensive review explores its clinical landscape, emphasizing the need for extensive investigations into its elusive etiology and genetic underpinnings. The estimated prevalence is 1 in 250,000 live births, with sporadic cases prevailing. Initial symptoms, evident from birth, encompass difficulties in sucking, and feeding, and absent facial expressiveness. Beyond …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 27–38 Read article
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Harnessing AI and NLP to Transform Pharma Education Personalization, Learning, and Skill Development
Abstract: Particularly with NLP technologies, it is revolutionizing pharmaceutical education, enhancing human creativity, personalizing learning, and improving student outcomes. AI models like those from Open AI’s Chat GPT are increasingly integrated into educational practices that offer a solution to issues, such as teacher shortages, resource limitations, and the inefficient use of traditional teaching methods. This paper explores the diverse ways through which AI and NLP technologies are transforming pharma education within …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 7–13 Read article
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Retrieval of Secure Data Using One Time Password
Abstract: Characterization and taking care of the issue of viable and secure positioned catchphrase seek over scrambled cloud information. Positioned look significantly improves framework, ease of use by giving back the coordinating documents in a positioned request with respect to certain pertinence criteria (e.g., catchphrase recurrence), subsequently make one stage nearer towards down to earth organization of privacy-saving information, facilitating administrations in cloud computing. To enhance the security for the information …
Published in Recent Trends in Programming languages · Vol. 3, Issue 2, 2016 · pp. 19–24 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article