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1320 articles for “Computer Applications”
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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A Review Paper on Privacy and Security problem at different Levels in IOT with Their Solution
Abstract: Abstract- These days Internet of Things (IoT) has grown a gargantuan attention in researchers, and it becomes an central technology that promises a smart human being life, by the means of communications between different machines ,objects , human beings and things related with the peoples. The internet of things, or IoT, consistent of system of computing devices, digital and involuntary machines, animals or objects, people that are provided with distinctive …
Published in Journal of Advances in Shell Programming · Vol. 5, Issue 3, 2018 · pp. 6–12 Read article
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Speech to Text Using NLP
Abstract: Speech to text model is automatic speech recognition model which converts the spoken words into the corresponding text of that word.The objective of this system is to take input from the user in audio format and convert it into the words, which would be designed for the application of ATVM machine. The model for speech to text is created by using the neural networks to train the dataset of various …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 4–8 Read article
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Simulation and Experimental Analysis of Heat Treatment for Steel Tie Rods: A Review
Abstract: The study is related to the actual heat treatment and simulation of the physical deformation of the steel tie rod and compares the observations for process optimization. The general methodology is to go for either traditional or induction hardening after getting the chemical composition of the material, followed by tempering, which is a key technique for improving the mechanical properties of materials, strength, hardness, etc., and to release stresses. This …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 43–51 Read article
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Hardware Implementation of Discrete /Inverse Discrete Cosine Transform Using Redundant Number System CORDIC Processors
Abstract: Rapid enhancement in multimedia service running on portable application has forced the development of high quality and low power implementation of complex signal processing algorithms. Image and video processing are typical application of multimedia system. Image compression and decompression using DCT/IDCT are the two algorithms commonly used in MPEG standard of image processing. For an image of N x N size, DCT/IDCT would require N4 multiplications and increases complexity. To …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 1, 2021 · pp. 35–42 Read article
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Big Data: How Universities Use Big Data for Admission
Abstract: The advent of big data has transformed the manner in which businesses handle, store, and oversee data. In the realm of extensive analytics, cloud computing has emerged as an indispensable resource, offering scalable and budget-friendly solutions for managing substantial data loads. This paper delves into the influence of big data on the university admission process, commencing with a definition of big data. It explores the advantages of employing big data …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 24–29 Read article
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Survey on Progress in Agricultural Yield Prediction-from Machine Learning to Deep Learning
Abstract: Machine learning has offered new prospects for data-intensive study in the multidisciplinary field of Agri-technology, especially with the rise of big data systems and advanced computers. Machine learning is a powerful decision-making tool for predicting crop yields, as well as determining which crops to plant and what activities to engage in during the crop's growing season. To facilitate the study of the prediction of the agricultural yield many techniques of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 12, Issue 1, 2022 · pp. 6–16 Read article
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Emerging Technologies in The Field of Library and Information Science: An Overview
Abstract: The advent of the computer and Internet impacted the field of library and information science to a greater extent and libraries are always in the forefront in implementing new tools and technologies to ensure effective and efficient services to the clients. This paper attempts to profile some of the emerging trends and technologies in the field of library and information science such as automation, digitization, consortia, RFID enabled security systems, …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 430–435 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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A Comprehensive Study Utilizing Patterned Fabric Images and Detection Techniques with OpenCV and Edge Detection
Abstract: This project offers a comprehensive overview of recent advancements in autonomous fabric failure detection methods, a critical aspect of quality control in the textile industry. Detecting flaws in fabric is an increasingly vital automation challenge. The project evaluates the effectiveness of a proposed method by analyzing patterned fabric images featuring typical flaws. The performance of the proposed approach is assessed across various types of fabric flaws. Additionally, the project tests …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 Read article
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Leveraging Large Language Models for Personalized Document Summarization and Question Answering: An Architecture for Stoner-Friendly Chatbots
Abstract: This study presents a detailed framework for developing personalized chatbots that utilize large language models (LLMs) to process and extract information from extensive documents while effectively responding to user inquiries. The proposed system is designed to mitigate information overload by employing advanced natural language processing techniques, leveraging technologies such as OpenAI, LangChain, and Streamlit. By integrating these tools, the framework enhances knowledge retrieval, simplifies document comprehension, and improves overall productivity. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 88–93 Read article
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Revolutionizing Vaccine Development:The Transformative Role of Bioinformatics in Designing Next-Generation Immunotherapies
Abstract: Vaccines have long been central to the prevention and control of infectious diseases, dramatically reducing morbidity and mortality worldwide. In the modern era, the integration of bioinformatics has revolutionized vaccine development by enabling rapid, precise, and cost-effective identification of potential vaccine targets. This seminar explores the multifaceted applications of bioinformatics in vaccinology, including antigen discovery, epitope prediction, structural modeling, molecular docking, and immunoinformatics-driven vaccine design. Special emphasis is placed on …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 19–33 Read article
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Applications of Wireless Sensor Network
Abstract: Wireless sensor networks (WSNs) have grown in popularity in recent years and have a wide range of applications, including health, the environment, and the military. Despite its impressive capabilities, the creation of WSN remains a difficult endeavor. Several programming approaches that focus on lowlevel system concerns have been offered in current real-world WSN installations. WSNs are a type of network made up of interconnected sensor nodes that communicate wirelessly in …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 3, 2021 · pp. 44–49 Read article
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Quality of Services (QoS) in Linux Operating System
Abstract: Quality of Service (QoS) is a fundamental characteristic of contemporary computer networks, enabling the prioritization of network traffic and the allocation of network resources according to specific criteria. The Linux operating system provides a powerful set of QoS tools, including Traffic Control, Differentiated Services, and Network Emulator. These utilities enable you to establish traffic categories, impose bandwidth constraints, and give precedence to traffic according to diverse criteria such as IP …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 2, 2023 · pp. 1–5 Read article
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Capacitance–Resistance Model Application to Reservoirs Primarily Under Aquifer Influx
Abstract: Previous Capacitance – Resistance Models that have been developed to characterise black oil reservoirs undergoing waterflooding do not apply to waterflooding of reservoirs primarily under aquifer influxresulting in significant error. This paper has attempted to overcome this limitation by presenting the aquifer influx as a pseudo injector whose injection rate is represented by an existing aquifer model.The influencing parameters of the model have been modified to include an aquifer influx …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 1, 2020 · pp. 16–29 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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A New Computational Method for Dust and Gas Dynamics in Protoplanetary Discs
Abstract: The simultaneous evolution of dust and gas in protoplanetary discs regulates essential events in planet formation, such as dust accumulation, migration, and the initiation of gravitational instabilities. Nevertheless, precisely modelling this interaction continues to provide a significant computing problem owing to the extensive variety of spatial and temporal scales involved. In this study, we introduce an innovative computational framework for simulating dust-gas dynamics in protoplanetary discs, integrating a two-fluid hydrodynamical …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 35–46 Read article
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Attitude Control System for Flight: A Comprehensive Review
Abstract: Attitude control systems is an integral part of flight control systems because they are responsible for the stability and maneuverability of different airborne vehicles within all flight regimes. The following paper presents an extensive overview of attitude control systems that are commonly in use in various flight applications and examines their design implementation, and performance on the space. The paper starts with a general overview of the main mechanisms of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 8–14 Read article
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Pharmacy Teachers' Contribution to Preserving Education's Integrity and Quality in the AI Era
Abstract: Artificial Intelligence through its modern approach supports the development of pharmacy education through customized methods and automatic evaluation systems and computerized training exercises. Students benefit from AI tools which include intelligent tutoring systems together with virtual assistants and simulation platforms because these tools improve their knowledge of pharmacology and drug formulation as well as clinical practice. The transition to AI-controlled education creates new academic integrity issues and ethical problems and …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 20–42 Read article
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Advanced Irrigation System
Abstract: Advanced Irrigation System is an innovative agricultural technology designed to improve water management, increase crop productivity, and reduce human effort in farming. Conventional irrigation practices frequently lead to inefficient water use, non-uniform irrigation coverage, and unnecessary wastage of water resources. To overcome these limitations, an intelligent irrigation system has been developed by incorporating advanced technologies, including soil moisture sensors, temperature and humidity sensors, water level monitoring devices, Internet of Things …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 38–44 Read article