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275 articles for “Language modelling”
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Inductive Turing Machines of Higher Orders: Computability, Acceptability and Decidability
Abstract: In this paper, the basic forms of information processing by inductive Turing machines of the order n are explored where n 1. It is demonstrated that different types of acceptability, recognizability, and computability of sets and formal languages by inductive Turing machines of the order n are equivalent. This allows high flexibility in modeling functioning of computers and computer networks by choosing the better suited forms of information processing. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 2, 2021 · pp. 10–26 Read article
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Python: Empowering Data Science Applications and Research
Abstract: It was in 1991 that the first mention of Python came to light. Since it is one of the best programming languages, it is widely used in the data analytics industry. It is speedy, easy to use, and can smoothly alter data with no hiccups. It aids in the processes of data analytics generally, such as data collection, analysis, modelling, and visualization. Python stands out from other languages because it …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 27–33 Read article
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Sign Language Recognition Using Deep Learning
Abstract: People with hearing/speech disabilities use sign language to communicate their thoughts and feelings, but non-disabled people often find it hard to comprehend these hand gestures since they do not know sign language. This project aims to create a system that uses MediaPipe, LSTM and Keras for sign language recognition. The webcam will capture video footage of people performing sign language gestures, then MediaPipe will extract and identify the hand landmarks …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 35–43 Read article
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Role of Functional Programming Languages in Blockchain Applications
Abstract: Functional programming (FP) languages play an increasingly influential role in blockchain applications, offering features that address critical challenges such as security, scalability, and reliability. The inherent characteristics of FP—immutability, pure functions, statelessness, and concurrency support—align well with blockchain’s decentralized and deterministic structure, making FP languages a natural fit for developing secure and verifiable smart contracts. Languages like Haskell, OCaml, and Erlang have proven effective in minimizing code errors, enabling formal …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 21–27 Read article
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AI-Based Outfit Rating and Suggestion System
Abstract: The increasing demand for personalised fashion advice in the digital era has highlighted the need for intelligent, automated styling solutions. The AI-Based Outfit Rating and Suggestion System is a web- based platform that assists users in evaluating and improving their clothing choices through intelligent image analysis. Unlike conventional fashion applications that merely identify garment categories or suggest purchases, this system performs a holistic assessment of complete outfits by analysing colour …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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A Core Loss Model Based on Finite Element Method for Switched Reluctance Generator Considering Different Control Modes
Abstract: In the present paper, core loss modeling of switched reluctance generator (SRG) is proposed for the first time. Using ANSYS finite element (FE) package, 2D FE transient analysis of SRG is carried out and the stator pole flux waveform is predicted. To determine the flux waveforms in the different parts of the machine, an introduced mathematical flux model is considered and its algorithm is implemented in ANSYS Parametric Design Language …
Published in Trends in Electrical Engineering · Vol. 4, Issue 2, 2014 · pp. 26–33 Read article
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Google Play Store Analysis
Abstract: Google play store consists of millions of applications and several thousand apps are added on the play store every day. The competition is so fierce that it is really difficult for the developers to find out whether the app that is the product of his hard work is going to be successful or not. The main goal of the study is to create a tool that helps developers and organizations …
Published in Journal of Open Source Developments · Vol. 8, Issue 1, 2021 · pp. 11–25 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Hand Gesture Recognition
Abstract: The goal of this research is to detect and recognize hand motions. Photographs of hand gestures are captured using a camera and compared to images in the database; all images are divided in testing and training data set and converted into train. Record and test. record. This. records file trained in TensorFlow Mobile Net pre trained model. Loading of this model using karas gives us the best match of video …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 7–15 Read article
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Analysis of World Population Growth Using Python
Abstract: In this research work, we studied data analysis using the Python programming language. The fundamental steps in data analysis, such as cleansing, converting, and modelling of data is briefly explained in this study. In order to come up with good results, data analysis is required. Python has been used by us for data analysis. This language is interactive, interpreted, and follows an object-oriented programming paradigm. It is open source and …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 15–20 Read article
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Identification of Safest Path using Spatial Analysis
Abstract: Safety is of critical importance to an individual while travelling. The goal of this project is to provide an effective solution to the masses to ensure their safety when travelling from one place to another. The proposed system is developed by building a robust model by using police FIR data and crime news articles scraped from the web. Techniques from Natural Language Processing(NLP) have been used to convert the unstructured …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 2, 2020 · pp. 17–24 Read article
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Study and analysis of the Double Data Rate SDRAM Controller for High-speed Interfacing with Processing Device
Abstract: A real-time embedded system must now manage many programs running concurrently. Increased Data Rate Because of its burst access, speed, and pipeline features, synchronous DRAM is a typical memory-building material. DDR transfers are performed using synchronous dynamic access memory. The memory controller must be set with a pipelined design for various applications and systems to perform effectively. The purpose of this study is to design a DRAM controller that will …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 8–13 Read article
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Electronics and Communication Design of an AI-Powered Smart Chair for Real-Time Multilingual Interaction
Abstract: Revolutionizing the passive listening experience, a smart chair designed for presentation attendees goes far beyond mere cushioning, dynamically adapting to individual posture and offering ergonomic support to combat fatigue during lengthy sessions. Equipped with integrated sensors, these intelligent seats can subtly prompt listeners to adjust their position for optimal comfort and focus, sometimes even providing gentle haptic feedback for key takeaways or to signal important transitions in the presentation. Furthermore, …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 16–29 Read article
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The Role of Optimization and Probability in Shaping Artificial Intelligence
Abstract: This study discusses the basic roles of optimization algorithms and the theory of probability in the process of evolution and development of Artificial intelligence (AI). First, we introduce the role played by the next generation of leading-edge optimization algorithms developed since gradient descent to evolutionary strategies with respect to the learning of high-level AI models and how to enable them to learn to effectively explore high-dimensional parameter spaces. At the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 123–128 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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Massive Data Capturing and Transmission using Big Data Analytics Model with Machine Learning Prediction
Abstract: Deep learning techniques are widely used in many branches of research and engineering, including language processing, image classification, and speech recognition. Similar to this, processing vast amounts of data is restricted by a number of classical data processing approaches. To deal with information progressively with incredible exactness and effectiveness, huge information investigation requests spic and span, complex calculations in light of machine and profound learning methods. Recent research has, however, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 3, 2022 · pp. 23–30 Read article
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Software Approach for Implementing Production Fuzzy Inference Rules for a Hybrid Ensemble Model
Abstract: AbstractThis article provides an overview of the decision tree induction software and random forest ensemble. The general programmatic principles of building a fuzzy decision tree in the Microsoft Visual Studio integrated development environment using the object-oriented C # language on the. Net Framework platform are described. It can be used to develop a hybrid ensemble classifier model.
Published in Recent Trends in Programming languages · Vol. 7, Issue 3, 2020 · pp. 8–16 Read article
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A Study on Emerging Models for Cloud Computing and Services
Abstract: Cloud computing is an emerging area of distributed computing that offers many potential benefits to organizations by making information technology (IT) services available as a commodity. The strengths and weaknesses of the different cloud technologies, configurations, service models, and deployment methods should be considered by organizations evaluating services to meet their requirements. In this this paper we discusses “A study on Emerging models for Cloud Computing and Services” in various …
Published in Recent Trends in Programming languages · Vol. 3, Issue 1, 2016 · pp. 28–35 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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NLP Revolution in Education Feedback Analysis: Trends and Challenges
Abstract: Artificial Intelligence (AI) is a rapidly growing area of study in many domains like research and business. Various subsets of AI, such as Machine Learning, Deep Learning, and Natural Language Processing (NLP), are employed to address diverse aspects of data processing and modeling. This review is about the impact of AI on the education system and students feedback for the analysis is required for the enhancement of the technology used …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 1, 2023 · pp. 21–25 Read article