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32 articles for “parsing”
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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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Aspect-Based Sentiment Analysis Using a Hybrid Approach with Dependency Parsing
Abstract: The rapid expansion of digital communication has resulted in an unprecedented volume of consumer-generated textual data across online reviews, social media platforms, forums, and e-commerce websites. Extracting meaningful insights from this data is increasingly important for organizations seeking to understand customer opinions, preferences, and behavioral trends. Despite significant advances in sentiment analysis, many existing approaches primarily focus on surface-level features and often overlook deeper syntactic and semantic relationships within text. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article
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Scalability Analysis of Semantic Relational Key Terms based Document Clustering Using Parsing Text Calcification
Abstract: Abstract: Document agglomeration, one among the standard info mining ways, is an unsupervised learning worldview wherever agglomeration techniques endeavor to tell apart-inborn groupings of the text documents, with the goal that a meeting of clusters is made during which clusters show high intra-cluster closeness and low bury cluster likeness. The importance of document agglomeration rises out of the big volumes of matter documents created. Albeit varied document agglomeration techniques are …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 33–40 Read article
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Parsing of Sensory Perception in Oscillatory Networks Through Cross Frequency Coupling of Memory Synchronization: Revelation of Enhanced Learning by Autistic Brain
Abstract: The brain faces many complex problems when dealing with multidimensional signals, which is usually experienced as unitary precepts. We used neuronal spike patterns to determine synchronization dynamics of neuronal activity for computer-generated color patterns in aid of synchronization of neuronal activity for memory formation in autistic subjects. In particular, this gives functional organization of neuronal circuits and interesting relationships between these oscillations and interneuronal coupling that suggest an enhanced mechanism …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 4, Issue 2, 2014 · pp. 9–14 Read article
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Unsupervised Probabilistic Debugging
Abstract: We presented an unsupervised probabilistic approach for the debugging of the programs; where the focus is on diagnosing the wrong answers based on the proposed unsupervised semantic parsing algorithm. This approach can be implemented over other programming language. The parsing of the test cases are heuristically employed with the proposed parsing algorithm which reduces the computational complexity and rationally give better performing algorithms.
Published in Recent Trends in Programming languages · Vol. 1, Issue 3, 2014 · pp. 13–15 Read article
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Real Time Analysis of Twitter Data
Abstract: In last two decades, big data has emerged as one of the most trending fields of research. In today’s world, every minute, huge amount of structured and unstructured data is produced via various platforms. This data includes texts, images, and forums gathered from social media platforms. This increasing data implies a fundamental change in the way we analyze data since it is unable to analyze data using conventional methodologies and …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 6–14 Read article
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IoT Care: Breast Health
Abstract: In today's world, taking care of your wellbeing is of most extreme significance. The multiplication of wellbeing issues could be a genuine burden on specialists around the world, making it troublesome to viably treat each persistent. To ease the burden on specialists, there have been noteworthy progressive thoughts that have changed the healthcare industry. With the movement of computer innovation, it gets to be conceivable to create comes about more …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 21–28 Read article
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Exploring the Effectiveness of IoT in Virtual Doctor Robot Systems
Abstract: The design and development of a Virtual Doctor Robot (VDR) using Internet of Things technology is presented in this study with the goal of facilitating remote medical assistance. In light of the constraints associated with physical presence, especially in underprivileged areas like isolated parts of India during the COVID-19 pandemic, videoconferencing (VDR) is a viable means of bridging the gap between patients and physicians. The VDR makes accurate diagnostic and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 13–23 Read article
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Design and Optimization of Heat Dissipation Systems for Electric Vehicle Battery Packs: A Study on Advanced Cooling Techniques
Abstract: In order to guarantee battery safety, performance, and longevity, the increasing popularity of electric vehicles (EVs) has increased the demand for efficient heat management systems. With an emphasis on cutting-edge cooling methods, this study explores the design and optimization of heat dissipation systems for EV battery packs. The study compares cutting-edge techniques like phase change materials, micro channel heat sinks, and thermoelectric cooling systems with more conventional cooling techniques like …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–10 Read article
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TiO₂ Nanostructured Material-based Gas Sensor for Detecting Oxygen and LPG Gases
Abstract: This Paper investigates the use of TiO2 nanowires and nanotetrapods on glass and silicon substrates for sensing combustible gases such as LPG (Liquid Petroleum Gas) and Oxygen. The growth of Titanium dioxide (TiO2) nanowires/nanorods/nanotetrapods was investigated using both physical and chemical methods. In thermal evaporation method, both with and without vacuum conditions, was employed to synthesize various TiO2 nanostructures. A vacuum coating machine was utilized to create uniform TiO2 thin …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 443–451 Read article
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An Analytical study of Government Scheme for Farmers in Gujarat: Impact, Implementation Challenges, and Policy Implications
Abstract: Gujarat’s economy is mostly dependent on agriculture, which increases food security, rural employment, and state revenue. Despite the state’s notable progress in irrigation infrastructure and agricultural commercialization, Gujarat farmers continue to face challenges, such as market volatility, water scarcity, unpredictable weather, and rising input costs. The governments of Gujarat and India have implemented several initiatives aimed at addressing these problems, including crop insurance, irrigation expansion, farm mechanization, income support, digital …
Published in International Journal of Rural and Regional Development · Vol. 4, Issue 1, 2026 · pp. 38–44 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Design and Fabrication of Automated Channel Cleaner
Abstract: This paper focuses on the design and fabrication of automated channel cleaning system. Water is a basic necessity of humans & all living beings. There is plenty of water on earth but that is not suitable for human use. For some purpose clean water is more important if used. The impurities is present in water can cause hazardous disease.. Debris in drain water can be only like empty bottles, polythene …
Published in Journal of Production Research & Management · Vol. 10, Issue 2, 2020 · pp. 6–12 Read article
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Transforming Healthcare Through Big Data: Applications, Challenges, and Future Perspectives
Abstract: Healthcare institutions produce substantial amounts of information through electronic health records, laboratory systems, medical imaging technologies, patient monitoring devices, and various digital healthcare platforms. Managing and interpreting these continuously growing datasets through conventional approaches can be difficult and time-consuming. Big Data technologies offer advanced methods for storing, processing, and analyzing healthcare information efficiently, enabling healthcare professionals to obtain valuable insights for clinical and administrative purposes. This review explores the growing …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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A Comparative Study about the Ransomware
Abstract: At Present day, cyber-crime is increasing at an alarming rate. A lot of people become targets of cyber-crime and due to a lack of knowledge of how to deal with it quickly; they lost a lot of money and personal data. One of this cyber-crime is ransomware. With a full-scale ransomware attack costing on averages an eye-watering US$1,852,872. In 2020 there were 304 million attacks in ransomware attacks and the …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 3, 2021 · pp. 8–15 Read article
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DESIGN OF MACHINE SHAFT IN FATIGUE LOADING BY USING C++ PROGRAMMING LANGUAGE
Abstract: In the case of power transmission sometimes that was a fluctuating or repetitive load comes on drive shaft or driven shaft in working condition. At that time shaft as well as gear or pulley which are mounted on the gear shaft is also comes under the fatigue loading. To determine the shaft diameter under dynamic condition we should consider length of shaft, diameter of pulley and gear, tension on pulley …
Published in Trends in Machine design · Vol. 3, Issue 1, 2016 · pp. 75–81 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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Paper for Generating Sketch Description
Abstract: Graphs are a key method for catching and correspondence data in a wide range of areas. They are additionally a profitable piece of the early plan procedure, helping us investigate thoughts and arrangements in a casual situation. There is expanding enthusiasm for building frameworks that can consequently decipher freehand drawings. Sketch distinguishment frameworks are at present being produced for some areas, however can be prolonged to fabricate in the event …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 1, 2015 · pp. 9–18 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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Career Counselling and Personality Assessment App
Abstract: From the early foundations of career counselling, the role of self-awareness in making informed career choices has been well recognized. Frank Parsons, widely regarded as the pioneer of career counselling, emphasized the necessity of understanding oneself to make wise career decisions. He proposed that this self-awareness should be systematically connected to job requirements and opportunities through logical reasoning and structured analysis. This approach aims to empower individuals to make well-informed …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 63–69 Read article