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64 articles for “Domain Analysis Tools”
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Supertools Explorer: A One-stop Shop for Digital Productivity
Abstract: A comprehensive set of software programs called Supertools Explorer was developed to assist companies in optimizing their websites for search engines. The website offers a variety of tools, such as keyword research, on-page optimization, competitor analysis, link building, and statistics, which can assist businesses in enhancing their search engine visibility and increasing organic traffic to their website. The website's robust keyword research tool can assist companies in locating the most …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 1–11 Read article
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MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models
Abstract: The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention. In response to this need, this research introduces a novel collection of open-source, instruction-tuned large language models (LLMs) specifically designed to facilitate transparent and accurate mental health evaluations. Leveraging a newly developed dataset, which integrates multiple tasks and diverse …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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A Time Domain Analysis on Chip High Speed VLSI Optical Interconnection Network
Abstract: Intrachip optical interconnects (OIs) have the potential to outperform electrical wires and to ultimately, solve the communication problem, and to obtain high-performance integrated circuits. In this study, the International Technology Roadmap for Semiconductors (ITRS) is used as a reference to fulfill the requirements of silicon-based ICs must satisfy to successfully perform copper electrical interconnects (IEs). Keywords: Integrated optoelectronic circuits, optoelectronics, optical interconnects (ICs), silicon photonicsCite this ArticleAbhishek Sharma, Sudhir Kumar …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 3, 2018 · pp. 36–44 Read article
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Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
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Predicting And Forecasting Stocks
Abstract: Stock value estimation may be a well-liked and vital topic in money and tutorial studies. Share Market is associate untidy place for predicting since there aren't any vital rules to estimate or predict the value of a share within the share market. Several ways like technical analysis, basic analysis, statistical analysis, and applied mathematics analysis, etc. area unit all want to conceive to predict the value within the share market …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 1, 2022 · pp. 1–5 Read article
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From Noise to Insight: An Academic Study of Electrical Signal Processing
Abstract: Electrical signal processing is very important for turning raw, often noisy data into useful and actionable information. This article gives a simple and easy-to-understand summary of the basic ideas and methods used in electrical signal processing, such as filtering, signal representation, modulation, and spectrum analysis. The focus is on how to effectively eliminate noise and interference to improve the quality and dependability of signals. The conversation connects ideas from theory …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 10–21 Read article
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Preliminary In Silico Analysis of Choline Monooxygenase and Betaine Aldehyde Dehydrogenase from Suaeda monoica Forssk. and its Expression in E. coli.
Abstract: AbstractIn a tropical country like India, the yield of crop plants is majorly affected by soil salinity and drought. One of the strategies to address this problem is by introducing genes responsible for salinity/drought tolerance in crop plants. Such genes could be identified and isolated from mangrove plants, as they are known to have evolved certain physiological mechanisms to augment saline environments. One such mechanism is the accumulation of Glycine …
Published in Research and Reviews : Journal of Computational Biology · Vol. 9, Issue 1, 2020 · pp. 10–39 Read article
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Employing Cyber Security in Big Data
Abstract: Big data is identified by extreme measure of information generated at a standard premise by devices and internet-based sources. To construct valuable solutions for specific fields, this data can be treated and dismembered. Different techniques of computational and data analysis have been identified for usage in this domain. It has provided upward advancement of voluminous data processing registering models and tools. In traditional systems and innovations, the capability and handling …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 2, 2022 · pp. 18–21 Read article
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Recent Trends in Programming Languages: Navigating the Evolving Landscape
Abstract: The programming language landscape is constantly changing, driven by technological progress, evolving developer preferences, and the growing complexity of today's applications. As software development becomes more sophisticated, the demand for programming languages that can accommodate various paradigms and streamline workflows has intensified. This paper explores recent trends in programming languages, focusing on significant innovations in language design, the emergence of new paradigms, and the transformative impact of technologies such as …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 10–20 Read article
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Leucoanthocyanidin Reductase (LAR) Gene Analysisin Reductase
Abstract: Leucoanthocyanidin reductase (LAR) catalyzes the synthesis of catechin that is first step in PA biosynthesis. LAR involved in production of the flavan-3-ol. LAR gene is involved in proanthocyanidine production in several plants. Proanthocyanidins are plant secondary metabolites and occur in a wide range of plants and play an important role in defense against herbivores. The analysis of 50 proteins by global alignment of EF148325 with other ortholog sequences which have …
Published in Research and Reviews : A Journal of Immunology · Vol. 3, Issue 2, 2013 · pp. 15–27 Read article
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Developing Socially Responsible AI for Smart cities: Critical Analysis, Concerns, Research Challenges
Abstract: With modern day technologies inclined heavily toward creating a smart ecosystem for living life, the responsibility of the fittest technology is lending help from artificial intelligence. But the provision of ethics and fairness is becoming a hurdle in efficient deployment of AI tools and techniques. With an element of social responsibility cropping into the smartness of technologies used to develop smart cities, our article is an attempt to review the …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 2, 2022 · pp. 43–49 Read article
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In Silico Analysis and Docking Study of the Active Phyto Compounds of Ginkgo Biloba Against Alzheimer's Amyloid-Beta Protein
Abstract: Objective: Alzheimer's disease, an age-related progressive neurological condition, arises due to the accumulation of amyloid-beta protein within the brain. In this study, an attempt was made to explore the potential of natural compounds derived from Ginkgo, known for their diverse medicinal properties, in the prevention of the disorder by employing molecular docking techniques, conducting drug-likeness prediction assessments, and performing ADME analysis. Methods: Amyloid beta protein was retrieved from the PDB …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 2, 2023 · pp. 17–30 Read article
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E-learning Education on LIS an Apparatus indicates Knowledge of Information Communication Technology
Abstract: In the spread of e-knowledge, information and communication technologies (ICTs) play a key role. The e-knowledge dissemination and access facilities are essential in Knowledge Resource Centers (KRCs) for conceptual analysis view on e-learning and decision-making policy on LIS education curriculum development. The ICTs serve as a tool for e-learning in the domain of library and information science (LIS) education to prepare curriculum for manpower up-gradation towards socioeconomic development in the …
Published in Current Trends in Information Technology · Vol. 12, Issue 1, 2022 · pp. 15–19 Read article
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Deep Learning Approaches for Nanoplasmonics: Expanding Horizons
Abstract: Deep learning, a subfield of machine learning, has revolutionized various domains by providing powerful tools to process and analyze complex data. In the realm of nanoplasmonics, deep learning techniques have emerged as promising approaches to tackle the challenges associated with large-scaledata analysis, modeling, and optimization of plasmonic systems. This article presents an in-depth exploration of deep learning approaches applied to nanoplasmonics research, focusing on the advances, opportunities, and future directions …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 13, Issue 1, 2023 · pp. 30–38 Read article
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A Molecular Docking Study: Targetting HIV-1 Integrase Protein Against Selected Phytocompounds from Calophyllum Lanigerum
Abstract: Objectives: The most common form of HIV that causes AIDS is HIV-1. The World Health Organization has estimated roughly 75 million plus HIV-1 infections till date and roughly 40 million deaths (as of 2021). Thus, this study was done to identify natural compounds from Calophyllum lanigerum, a medicinal plant largely endemic to South-East Asia, to inhibit the spread of this disease. It did so by using molecular docking methods, Lipinski …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 43–55 Read article
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Streamlining Data Quality: A Conceptual Model and Excel-based Tool for Email Duplicate Removal
Abstract: In the realm of data management, ensuring data quality is paramount for meaningful analysis and decision making. This research paper presents a novel conceptual model and practical tool designed to address the challenge of removing duplicate entries from datasets containing email IDs. The proposed mathematical model for duplicate removal is meticulously developed and subsequently implemented in Microsoft Excel, leveraging Visual Basic for Applications. The Excel interface is enhanced with user-friendly …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 41–59 Read article
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Research on Energy in Cloud Computing
Abstract: One of the most recent technologies is 'Cloud Computing,' which has grown rapidly in recent years with the goal of delivering computing as a utility. This is not an easy task of fulfilling this technological demand. The infrastructure required to support Cloud Computing is a very large data centre with a large volume of data, a large number of servers, and various other related hardware. Several companies are investing in …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 3, 2021 · pp. 28–33 Read article
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DC Power Flow Analysis as a Tool for the Study and Design of Multi-Terminal Electrical Grids
Abstract: The development and deployment of high voltage power electronic apparatus for the support and functioning of optimal operation and management of electrical grid networks is dependent on the progress of high power capacity semiconductor technology that has seen a rising trend over the past few years. These grids have certain different characteristics such as full or partial deregulation of their networks. These characteristics have advanced their application in many HVDC …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 3, 2014 · pp. 1–11 Read article
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Analyzing the Cognitive Proficiencies of Artificial Intelligence Within the Legal Paradigm: Prospects Within the Jurisdiction of India
Abstract: The swift progress of artificial intelligence (AI) has become a pivotal factor in various industries, notably affecting the legal sector. This study extensively investigates the substantial effects of AI on legal research and case analysis, mapping out the progression of AI technology within the legal domain. The exploration goes beyond mere acknowledgment of AI‘s presence, delving into a nuanced analysis of its potential advantages and the formidable challenges it poses …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 84–112 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article