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613 articles for “interpreter”
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Munzijate Balgham with Interpretation to Their Mechanism of Action in Stroke Rehabilitation: A Review
Abstract: The basic line of treatment of Falij Balghami is use of Munzijate Balgham followed by Mushilat and Muqawwiyat. Munzijat is the group of drugs which suitably modify the consistency of morbid Akhlat to make them able to evacuate from the tissues, vessels and interstitial spaces. They act either by liquefying the consistency of Ghaleez Akhlat, or by thickening the Raqeeq Akhlat. Nuzj occurs over a period of time which varies …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 4, Issue 3, 2015 · pp. 9–15 Read article
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Fuzzy Algorithm Based Sentiment Analysis: Enhancing Accuracy and Interpretability
Abstract: Sentiment analysis is the technique of determining the point of view, polarity, and intensity of a text. A poll found that 93% of consumers read online evaluations before making a decision. Manually analysing these judgements is challenging. To determine the review's overall sentiment or thinking polarity, sentiment analysis may be employed. This study's goal is to classify product assessment qualities as positive, negative, or neutral. Polarity labelling, feature extraction, and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 1–7 Read article
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Land Use and Land Cover Analysis of Jharkhand Using Satellite Remote Sensing
Abstract: IRS P6 LISS III data was used to delineate different land use/land cover classes of Jharkhand using visual interpretation technique. Tone and texture were found most important for interpretation of different objects. A total of 42 classes of different land use/land cover categories were interpreted. Agricultural land with current fallow and forest areas dominated the landscape of Jharkhand by occupying 49% and 30% of total geographical area, respectively. Built-up (urban …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 1, Issue 1-3, 2012 · pp. 22–31 Read article
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Enhancing Explainability in Machine Learning Based Spam Email Detection Using LIME and SHAP
Abstract: Spam emails represent a continual and irritating cybersecurity issue due to the fast expansion of cyberspace communication. These messages are unwanted and, in some cases, dangerous, such as phishing schemes, identity theft, and the propagation of malware. They cause severe financial and data security threats to individuals and organizations. Conventional spam detection techniques, such as rule-based spamming, blacklisting, and keyword classification, are techniques that find it difficult to match adaptive …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 35–48 Read article
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Transcoder: Translate C++ to Python
Abstract: In computer science, there are different programming languages but the logic to implement a particular code remains same in every language. Many people have code bases in outdated programming languages like COBOL and switching those bases to more modern ones like Java, C++, or Python requires a significant investment of time and resources. Transcoder can conserve a lot of resources in the situation. This is a pilot project that we …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 13–18 Read article
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Exploration of The Justice Section from Book of Luminous Benefits Explanation by Mr. Nimat Allah Al-Jazairi (1050-1112 AH)Assist. Lecturer.
Abstract: This study included the topic of justice ,that was involving a lot of sayings ,and explanations of Mr. Nimat Allah Al-Jazairi saying: ((So justice)) is the interpretation, and justice in the language is the tendency , and in terminology is what the author mentioned .His saying: ((a built infinitive of the object)) ended. The purpose of this assessment is to refute the objection that the commentator Al-Radi mentioned to the …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 1, 2024 · pp. 35–46 Read article
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ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications
Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article
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AI-Powered ECG Prediction System for Detecting Cardiovascular Disease
Abstract: The proposed AI-powered CardioSmart Analyzer, an electrocardiogram (ECG) prediction system, presents an innovative and scientifically rigorous approach to the real-time automated analysis of ECG signals for diagnosing various heart conditions. This research focused on building a predictive model to identify cardiovascular diseases (CVD) using ECG data. A dataset comprising 2,840 12-lead ECG recordings was gathered from medical facilities in Gazipur, Bangladesh, over the period from June to August 2024. The …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 51–85 Read article
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A Qualitative Study on the Lived Experiences of Women with Polycystic Ovary Syndrome Attending Gynecology OPD, Bangalore
Abstract: Polycystic ovary syndrome (PCOS) is a prevalent hormonal disorder among women of reproductive age, affecting multiple aspects of their well-being, including physical, psychological, emotional, social, and spiritual dimensions. Despite its widespread occurrence, the lived experiences of women with PCOS remain inadequately understood. The present qualitative study aimed to explore and interpret these lived experiences to enhance professional awareness, improve understanding, and promote better support for affected women. A phenomenological research …
Published in International Journal of Midwifery Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 30–40 Read article
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Implement Explainable Machine Learning to Improve Conductivity in Polymer-CNT Nanocomposites: Supporting Adaptive, Flexible, and Long-Lasting IoT Wrap-Around Electronics Applications
Abstract: The rapid growth of Internet of Things (IoT) technologies requires electronic components that are adaptable, lightweight, and durable, and that can continue to function well in diverse contexts and circumstances. Polymer–carbon nanotube (CNT) nanocomposites have become interesting choices for these kinds of uses because they are more flexible, conduct electricity better, and can be made to fit specific needs. However, improving conductivity in these heterogeneous systems remains a major challenge …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 238–254 Read article
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Stock Market Prediction Using Machine Learning: Techniques, Challenges, and Future Directions
Abstract: The continuous advancement of machine learning (ML) technologies has significantly transformed the field of financial forecasting, particularly in the area of stock market prediction. The ability to accurately forecast stock price movements and market trends plays a crucial role in supporting informed investment strategies and effective risk management. This paper provides a comprehensive review of recent developments in the application of ML techniques for predicting stock market behavior. It classifies …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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AI-Based House Price Prediction
Abstract: The housing market is one of the most dynamic and significant sectors of any economy, influencing both individual wealth and broader economic stability. Buyers, sellers, investors, and policymakers all rely on accurate housing price predictions. With the advent of artificial intelligence (AI) technologies, particularly machine learning algorithms, the task of house price prediction has seen remarkable advancements. This study provides a detailed overview of AI-based techniques for house price prediction. …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 1–7 Read article
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The Effect of the Cyclic Steam Stimulation on the Thermal Cement Bond: Cased Hole Wire Logging Evaluation (Segmented versus Original) Tools
Abstract: When focusing on the oil thermal well life integrity, One of the current trends is to optimize the use of the innovative solutions in order to improve the quality of the cement bonding (i.e. cement to pipe bond and formation). This trend is in a trail application in Fula North East thermal wells in Sudanese oilfields. The objective of this paper is to discuss how the Cyclic Steam Stimulation (CSS) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 9, Issue 3, 2019 · pp. 50–60 Read article
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Evaluation of Industry 4.0 Adoption Obstacles Through the Use of SMEs
Abstract: Industry 4.0 offers significant technology advancements, but businesses must overcome several obstacles before implementing it. Although a lot of work has gone into identifying the hurdles that most businesses face, the literature currently in publication has not taken the time to examine how these barriers relate to one another or what that means for practitioners. Within the framework of Portugal's manufacturing sector, we employ the interpretative structural modelling (ISM) technique …
Published in Journal of Production Research & Management · Vol. 13, Issue 3, 2023 · pp. 24–38 Read article
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Knowledge Regarding Rights and Welfare Schemes of Differently Abled Children Among Mothers in a Selected Special School, Kottayam
Abstract: The study was conducted ‘‘To assess the knowledge regarding rights and welfare schemes of differently abled children among mothers in a selected special school’’ The main objective of the study is to assess the level of knowledge of mothers regarding rights and welfare of differently abled children and their association with demographic variables. The current study employed a non-experimental descriptive research design. It involved 30 mothers with children under 12 …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 2, 2023 · pp. 1–7 Read article
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An Exploratory Pilot Study on the Traditional Siddha Anthropometric Diagnostic and Screening Method ‘Manikkadai Nool Measurement’ of Undergraduate Students in Thiruvananthapuram District of Kerala, India
Abstract: Aim: The aim is to study the distribution pattern of Manikkadai Nool measurement of students studying in an undergraduate college in Thiruvananthapuram district, Kerala and analyse the data statistically. Manikkadai Nool measurement is the circumference of forearm which is measured four-fingerbreadth above the wrist. Background: The traditional Tamil Siddha medical text ‘Agasthiyar Sudamanikkayaru Sutram’ exclusively discusses Manikkadai Nool measurement as a continuous variable ranging from 4 to 10 fb with …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 5, Issue 3, 2018 · pp. 5–11 Read article
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The Impact of Applied Artificial Intelligence in Scientific Research: Advancements, Challenges and Opportunities
Abstract: Artificial Intelligence, encompassing machine learning, natural language processing, and computer vision, is playing a pivotal role in revolutionizing scientific research across multiple fields, facilitating significant advancements and breakthroughs in various domains. This work present a comprehensive review of the applications of applied artificial intelligence in scientific research. I will discuss recent advancements, challenges, and the potential opportunities that AI presents for accelerating scientific discoveries and fostering interdisciplinary collaborations.
Published in Current Trends in Information Technology · Vol. 13, Issue 3, 2023 · pp. 14–19 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 Read article
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Development of Stable Operating System Using Unix
Abstract: Unix is a multi-user, multi-tasking, general-purpose operating system for Interdata 8/32 and PDP-11 computers from Digital Equipment Corporation. Since its creation in 1969, the Unix operating system has gained considerable notoriety for running on devices with varying processing capability, including microprocessors and mainframes, and for offering a standard execution environment setting across them. There are two components to the system. The program and services in the primary section are what …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 2, 2022 · pp. 9–14 Read article