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1974 articles for “Event Chain Methodology (ECM)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Advancements in Seismic Analysis Based on Shear Walls Composite Materials
Abstract: In this study more than 30 research papers are thoroughly reviewed in the area of Seismic Analysis based on Shear Walls. Seismic performance evaluation is used to assess a construction's seismic behavior in accordance with predetermined performance criteria. These methods have been applied in a number of assessment studies to investigate the seismic behavior of shear wall designs, and their findings have advanced the field overall. Shear wall is works …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 235–243 Read article
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Empowering Knowledge: Design and Development of Expert Systems with Shell Programs
Abstract: Even if one never intends to write scripts, mastery of shell scripting is an essential skill for anybody hoping to advance in system administration. For instance, a Linux computer uses the shell scripts to start services and restore system settings when it first boots up. Gaining an in-depth understanding of these starting scripts facilitates the analysis and possible optimization of system behavior. Because scripts may be written in short bursts …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 1–4 Read article
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Designing Engaging Interactive Animatronics: Strategies and Implementation Insights
Abstract: The field of animatronics uses robotic systems to imitate realistic movements and activities in mechanical figures. To enhance the recognition and performance of the animatronic as a relationship mediator, it is important that the animatronics in recreational games be perceived as human companions to create productive interaction scenarios. This study describes the design and implementation of a Java- based programming method, an Adriano microcontroller, an open environment, a depth camera …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 27–33 Read article
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Jarvis the Voice Assistant for Desktop
Abstract: This study presents the development and execution of a cutting-edge multilingual voice partner using JavaScript, HTML, CSS, and Python for the frontend and backend, independently. The voice accomplice is planned to appreciate and address client inquiries in various lingos, making it a significant gadget for people of all ages and foundations. The front end of the voice associate is created using JavaScript, HTML, and CSS, which give a simple to …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 28–39 Read article
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Floristic Diversity and Phenological Aspects of Paddy Field Weeds of Janjgir-Champa, Chhattisgarh
Abstract: Present study deals with survey of floristic diversity and phenological aspects of paddy fields weeds of Janjgir-champa. A survey was done during 2019 to 2023, at the peak point of weed growth. An unwanted plant which is harmful to farmers and crop is called weed. For this study, study area was divided into five sites viz. (Aphrid, Champa, Kurda, Hathnevra and Naila). In present findings 112 weed species belonging to33 …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 2, 2024 · pp. 13–30 Read article
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An Extensive Analysis of Computer-Aided Drug Design for Novel Psychotropic and Neurological Substances
Abstract: A comprehensive review of the use of computer-aided drug design (CADD) in the creation of innovative neurologic and neuropsychiatric medications is given in this article. It discusses the challenges in traditional drug discovery approaches and highlights the role of computational methods in accelerating the identification and optimization of drug candidates targeting psychiatric and neurological disorders. The method of finding new drugs has been completely transformed by Computer-Aided Drug Design (CADD), …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 19–27 Read article
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A Secure and Transparent Voting System Leveraging Ubiquitous Computing and Blockchain Technology
Abstract: Ubiquitous computing and blockchain technology are two pivotal innovations driving significant changes in the digital world. This article explores the intersection of these technologies, analyzing how their combination can unlock new opportunities and address existing challenges. Ubiquitous computing envisions seamlessly integrating computing capabilities into everyday objects and environments, aiming to enhance user experience and efficiency. Meanwhile, blockchain technology, known for its decentralized and secure nature, offers robust solutions for transparency, …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 2, 2024 · pp. 9–13 Read article
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Different Aspects of the Role of AI in Developed and Developing Countries and the Indian Economy
Abstract: Nothing is permanent; change is a constant in our world, often bringing both positive and negative effects. Modern technology is now ubiquitous, benefiting countries while also posing challenges. The critical question is the impact of artificial intelligence (AI) in the future. AI concepts have roots in ancient India, seen in the stories of epics and Upanishads, such as the Pushpak Viman in Ramayana and Sanjay’s divine vision in Mahabharata. This …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Sentiment Analysis of X (Formerly Twitter) Using Machine Learning
Abstract: Sentiment analysis is a methodology to determine the nature and behavior of each and every user for the content posted on the social media platform in the form of post and feed. Consumers of the online platform are encouraged to post reviews of the product that they purchase. Little attempt is created by Amazon to confine or limit the content of these reviews. The number of reviews for various merchandise …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 28–37 Read article
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Towards Intelligent Healthcare: Artificial Intelligence’s Impact on Healthcare
Abstract: Artificial Intelligence (AI) stands as a transformative force within healthcare, offering multifaceted support to various processes and medical professionals. This comprehensive study investigates the extensive array of AI applications and its potential to reshape the healthcare landscape. Specifically, it examines the utilization of deep-learning methodologies in harnessing vast medical datasets to enhance healthcare provision. Expanding beyond theoretical discussions, this study scrutinizes AI's role in breast cancer, seizure, and tumor detection, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 77–83 Read article
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A Study of Clinical Education Practice of Clinical Instructors Accompanying Nursing Students of Kashmir Division, Deployed for Clinical Posting in SKIMS Soura
Abstract: Introduction: Clinical education also called clinical teaching, is one of the practical based approaches whereby the students are exposed to natural and practical settings. Clinical education refers to the process of educating and training healthcare professionals, such as medical students, nurses, or other allied health professionals, in a real-world clinical setting. This form of teaching is crucial for translating theoretical knowledge into practical skills and fostering the development of clinical …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 2, 2024 · pp. 32–38 Read article
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Extractive Text Summarization: An Application Based Study
Abstract: Text summarization is an essential tool for extracting important information from lengthy texts or documents. Text Summarization has two main methodologies namely: Extractive Summarization and Abstractive Summarization. This study concentrates on extractive summarising, which selects significant sentences straight from the source material to create a summary. It is a popular option for many practical applications since it frequently produces summaries that are more accurate in terms of substance. In abstractive …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 41–48 Read article
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CALMA: A Personalized Android-based Salon Appointment Booking System
Abstract: Amidst the hustle and bustle of modern life, discovering moments of calm and self-nurturing is a precious indulgence. The CALMA salon appointment application is a revolutionary solution designed to bridge the gap between tranquility and the beauty and grooming industry. The research aims to provide users with an intuitive, user-friendly, and informative platform that seamlessly integrates the technologies of Flutter, Figma, Firebase, Spring Boot, and MySQL. CALMA goes beyond being …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 109–121 Read article
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Prediction of Mobile Phone Price Using Machine Learning Classifiers
Abstract: One cannot imagine one's life without mobile phones; in today's digital era, mobile phones have become a necessity for everyone to fulfil their various demands like messaging, communication, entertainment, productivity, research, shopping and many more. In a thriving market of mobile phones where new smartphones are launched every year with new advanced features and various designs, determining the expense of a mobile can be a trouble-some tasks for consumers. In …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 101–108 Read article
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AI Hindi Poem Generator
Abstract: The Hindi Poetry Generator project represents a pioneering initiative in the domain of computational creativity, blending machine learning algorithms and natural language processing methodologies to craft poetic expressions in the Hindi language. Rooted in the vast landscape of Hindi literature, this project harnesses the power of deep learning models to generate evocative and culturally significant poetry. At its core, the system relies on neural networks and sophisticated language modeling techniques …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 10–16 Read article
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Planktonic Organisms as Bio-indicators of Pollution in Aquatic Environments
Abstract: Planktonic organisms play a pivotal role in aquatic ecosystems, serving as vital bio indicators of pollution levels. This review offers a thorough exploration of their significance in assessing environmental health in aquatic environments. We delve into the diverse array of planktonic taxa, encompassing phytoplankton, zooplankton, and bacterioplankton, and examine their responses to various pollutants such as nutrient enrichment, chemical contaminants, and microplastics. These organisms exhibit remarkable sensitivity to environmental changes, …
Published in International Journal of Marine Life · Vol. 1, Issue 2, 2024 · pp. 21–26 Read article
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Optimization of Biohybrid Polymer Synthesis Using Fuzzy Inference Systems
Abstract: This investigation proposes a methodology to optimize biohybrid polymer synthesis using fuzzy inference systems (FIS). The study combines fuzzy logic principles with mathematical calculations for finding the best synthesis parameters to enhance the synthesis quality. This study consists on a sample about the use of FIS on optimisation of polymer synthesis, where they show the process of fuzzification, rule base creation, inference mechanism and defuzzification using the centroid method through …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 36–47 Read article
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Neuro-Fuzzy Control Systems: A Cross-Domain Review
Abstract: This paper presents a comprehensive review of the application of neuro-fuzzy control systems in various industries. Using the combined strengths of neural networks and fuzzy logic, neural-fuzzy control systems emerge as versatile tools to solve challenging control challenges It begins with clarifying the theoretical basis of neural fuzzy systems, and emphasizing their scalability, definition, and robustness. Specific examples in each domain highlight the effectiveness of neuro-fuzzy control in solving real …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 29–38 Read article
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Study of the Trends and Customer Buying Behaviour in The Automobile (Car) Industry
Abstract: This study examines car buying behavior in India, one of the largest automotive markets globally, contributing significantly to the Gross Domestic Product (GDP). Understanding how consumers decide on car purchases is essential for manufacturers and marketers. The research involved a comprehensive methodology, including a literature review, questionnaire design, survey distribution, and data analysis, to gain insights into Indian car buyers' preferences and trends. The findings reveal that young adults, primarily …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 9–18 Read article
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Fluidic Engineering: Investigating Cutting Fluids’ Effect on Machined Surface Roughness
Abstract: The primary goal of this experimental study project is to determine the optimal cutting fluid by experimenting with two distinct oil kinds and compositions. Thirty-six compositions of cutting oil are obtained by mixing three distinct oil compositions, such as mineral oil and paraffin oil, with six different additive and anti-foaming agent compositions. Then, using a trial-and-error methodology, we employed these 36 cutting oil compositions for drilling operations with constant pressure …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 27–42 Read article