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26 articles for “Tokens”
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A Real-time Visualization Framework to Enhance Prompt Accuracy and Result Outcomes Based on the Number of Tokens
Abstract: In the rapidly evolving domain of artificial intelligence (AI), the efficacy of user-generated prompts has emerged as a critical factor influencing the quality of model-generated responses. Current methodologies for prompt evaluation predominantly rely on post-hoc analysis, which often leads to iterative prompting and increased computational overhead. Furthermore, the challenge of “prompt hallucinations,” where AI models produce irrelevant or nonsensical responses, persists as a significant impediment to effective AI utilization. The …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 45–53 Read article
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Global Expansion of Cryptocurrencies and Their Effects on the Environment
Abstract: With the introduction of blockchain, trustless transactions between parties in different countries are now simple. The ability to enable robust and safe exchange between many sorts of tokens is a fundamental demand given the abundance of diverse tokens entering the cryptocurrency ecosystem. The bitcoin market's ICO boom has caused a stratospheric spike in the funding of research-based enterprises. The limited understanding of these various token types is preventing inexperienced developers …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 2, 2022 · pp. 20–27 Read article
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Virtual Reality Based Decentralized Educational Art Gallery
Abstract: One can experience the forefront of education by engaging with our virtual reality (VR) powered decentralized educational art gallery. This groundbreaking platform seamlessly integrates VR technology with decentralized networks, crafting an unmatched learning journey. Curated collections of art from diverse cultures and eras can be explored, accompanied by interactive educational modules that deepen one’s understanding of each piece. One can engage with fellow learners in real time, fostering collaboration and …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 31–37 Read article
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An Approach to Design a Compiler in Context of Lexical Analyzer (Scanner) and Parser Generation (Parser) Followed by Non-optimized Intermediate Code Generation using Compiler Construction Tools
Abstract: It is very tedious and lengthy task to write a compiler. To realize the various phases of compilers we can use some specific tools. These tools are called compiler construction tools. Furthermore, we call it as compiler-compiler, compiler-generators, or translator writing system. A mixture of compiler building tools are Scanner generator —it generates lexical analyzers. The patterns specified to these generators are in the type of regular expressions. The LINUX …
Published in Journal of Advances in Shell Programming · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Topic Detection in Tweets using Hashtags
Abstract: Data clustering is a common technique used for topic detection and identification in text. In this paper we propose tokenizing of hashtags as an effective and efficient way of generating bags of words for tweets (text messages on Twitter). The document- term matrix generated using these terms is smaller and more relevant compared to the full text tokenization. Tweets from the 2018 Oscars event tagged with #oscars hashtag were collected …
Published in Recent Trends in Programming languages · Vol. 5, Issue 2, 2018 · pp. 6–14 Read article
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Different NLP Libraries for Indian Languages
Abstract: Humans are by nature varied and multilingual. While English holds the title of the most commonly spoken language globally, Hindi is also widely used by people worldwide. Natural language processing (NLP) is the discipline of artificial intelligence (AI) concerned with providing computers the capacity to interpret text and spoken language in the same manner that humans can. People nowadays utilize products that employ NLP as their foundation, such as Alexa …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 8–14 Read article
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NFT Mining
Abstract: The idea behind Non-Fungible Token (NFT) really derives from an Ethereum token standard that aims to provide each token a distinct identity using recognizable indicators. Tokens of this type can be connected to digital attributes to serve as their individual identifiers. Through NFTs, all pronounced parcels can be freely traded with values that are based on their times, peculiarities, liquidity, and so on. The total amount of plutocrat used on …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 9, Issue 3, 2022 · pp. 17–22 Read article
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Forthcoming Technological Breakthroughs in the Metaverse Development
Abstract: The Metaverse represents an enduring and constant multiuser realm that merges the physical world with digital virtual elements. It stands as the cosmos beyond the realm of reality. The term “metaverse” refers to a shared, permanent, immersive, three-dimensional virtual environment that combines the physical and digital worlds and allows users to interact in real time while shopping, working, playing, and hanging out. Since the beginning of the internet, its quick …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 26–33 Read article
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Stress Perception among School-age Children
Abstract: Introduction: Prosody is the inflection embedded in speech. The perception of prosody is necessary to understand a spoken utterance, especially to appreciate the intricacies of languages. The influence of prosody is also beyond the boundaries of a sentence and provides speech its emotional tone. Prosody or the supra-segmental is made of stress (accent), intonation (pitch patterns) and the rhythmic (timing) pattern of language. Acoustically, it is described in terms of …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 6, Issue 2, 2019 · pp. 4–9 Read article
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CredBud: The Ultimate Student Platform
Abstract: In the rapidly evolving educational landscape, effective management of student performance, attendance, and engagement is essential for fostering accountability, motivation, and academic growth. Addressing the limitations of traditional methods, CredBud introduces an innovative digital platform designed to revolutionize academic management. This secure, user-friendly ecosystem empowers both students and faculty to enhance efficiency and collaboration. CredBud’s key features include a credit allocation and grading system to monitor academic progress, a theoretical …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–9 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Study of Finite State Machines as Language Recognizer
Abstract: Finite State Machines (FSMs) play a fundamental role in computer science and linguistics as language recognizers. This study presents an exploration of the principles and applications of FSMs as efficient tools for recognizing formal languages. The study delves into the theoretical foundations of FSMs and their practical implementation in various language recognition tasks. The fundamental ideas of FSMs, including as states, transitions, and input symbols, are introduced in this study. …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 18–24 Read article
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Tomato Food Delivery
Abstract: Tomato food delivery systems face numerous challenges, such as duplicate documents, lack of security, and insufficient transparency. This paper proposes a solution using the MERN (MongoDB, Express.js, React, Node.js) stack to address these issues by creating an electronic public administration system that ensures secure, transparent, and efficient record-keeping. Leveraging MongoDB, the proposed system, automates the maintenance of records and registration documents, utilizing a consensus-based contract for streamlined loan settlement processes …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 12–19 Read article
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Building a Modern Land Registration System: Leveraging Node.js and React.js for Efficiency, Security and Scalability
Abstract: Land registration systems are critical for safeguarding property ownership and enabling efficient real estate transactions. However, traditional systems often suffer from inefficiencies, including lengthy processing times, susceptibility to fraud, and limited accessibility. This study proposes a modernized Land Registration System (LRS) leveraging Node.js for backend development and React.js for frontend design to address these challenges. The system integrates real-time data processing, automated document verification, and role-based access control (RBAC) to …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 1–6 Read article
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AI-Based Sentiment Analysis of Public Perception Under Bangabandhu Sheikh Mujibur Rahman
Abstract: Sheikh Mujibur Rahman, known as Bangabandhu, played a pivotal role in Bangladesh’s post-liberation period (1971–1975). Understanding public sentiment during his leadership is crucial for historical analysis. This study employs Artificial Intelligence (AI)-based Sentiment Analysis to examine public perception through archived newspapers, parliamentary speeches, and historical records. Using Natural Language Processing (NLP) techniques, including sentiment classification and opinion mining, we analyze textual data to assess the prevailing public mood during his …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 21–29 Read article
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Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Encoder-Decoder Based Fine-Tuned Model for Code Doubt Solver
Abstract: As we are growing in technology, more technologically skilled persons are needed in industry. They all often rely on programming in their daily work, and when some doubts arise, they seek help from teachers to LLMs like GPT to Deepseek. However, when errors arise, then comes hectic part to troubleshoot and resolve the error. Usually, people seek help from some LLMs like GPT, or Deepseek for the solution; they give …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 35–42 Read article
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Design And Implementation Of A Multi-Modal Mobile Application Safety Analytics Utilizing Nlp
Abstract: This study suggests a multi-modal mobile app safety analytics platform that uses natural language processing (NLP) to handle voice, text, and SOS messages. For effective intent recognition and decision-making, the platform processes all messages in a standard text or SOS flag format. Tokenization and normalization are used to process text communications, whereas noise reduction and text conversion are used to handle voice messages. For a quicker response, the SOS messages …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Seal of Authenticity: Innovative Stamp Paper Management System
Abstract: The goal in this undertaking is to create the stamps Sheet Control System, a desktop tool for controlling the Seal Newspapers stock system.. The Stamp Inventory Management System (SPMS) refers to the system and processes to manage all the activities regarding the stamp papers. This kind of system might be employed to save client information, maintain stamps, update daily stamp sales information, store information about token entry sites, and even …
Published in Journal of Production Research & Management · Vol. 13, Issue 1, 2023 · pp. 18–24 Read article