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433 articles for “Automated tools”
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Optimizing the DevOps Toolchain
Abstract: DevOps, which stands for development and operational groups, is a method for delivering software that is getting ever more popular. This method helps produce software very quickly and consistently. These days, a wide variety of solutions, including such Continuous Integration/Continuous Delivery (CI/CD) using common research articles, enable DevOps troubleshooting. Because certain components need additional setting, many broad research papers have rather good accuracy costs when it is used in developing …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 2, 2022 · pp. 1–11 Read article
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Transcript Summarizer of YouTube Videos Using Deep Learning
Abstract: Transcriber Sum is a deep learning-based YouTube transcript summarization tool. It employs advanced machine learning techniques to automatically generate concise summaries of YouTube video transcripts, enabling users to quickly grasp the key content and insights of videos without the need to watch or read the entire transcript. This Transcriber Sum addresses the challenge of providing users with concise and informative summaries of video content by harnessing the power of deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 119–126 Read article
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AI-Powered Chatbot with Sentiment Analysis, Summarization, and Q&A for Business Automation
Abstract: Artificial Intelligence (AI) chatbots have become increasingly significant in recent years due to their ability to automate a wide range of business operations, improve user interaction, and create more efficient customer support experiences. The development of such systems goes beyond simple rule-based responses and now integrates advanced natural language processing (NLP) techniques to deliver contextually relevant and human-like interactions. This study introduces a chatbot framework that incorporates three major components: …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 01–05 Read article
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Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety
Abstract: The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence. As the nuclear industry undergoes a paradigm shift toward decommissioning legacy facilities and establishing deep geological repositories, the limitations of traditional, manually-intensive waste management processes have become increasingly apparent. Rigid separation from the biosphere is required for radioactive waste, which is defined by …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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A Fuzzy Logic Approach to Measure the Complexity of Component-based Software
Abstract: Component-Based Software (CBS) Development is now a widely accepted software methodology to manage the increasing complexity and maximize the reuse of code. This paper presents a complexity metric combined with three submetrics for measuring the complexity of a CBS. This complexity metric incorporates three key aspects—coupling, cohesion and interface complexities. To automate the complexity measurement of a CBS, a tool has been developed using fuzzy logic. For this tool, a …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 2, 2014 · pp. 1–9 Read article
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Applications of CFD in Car Design
Abstract: Development of computational fluid dynamics has now reached a state of maturity, which enables it to stimulate the flow of past practical car design configurations. It can thus play a very useful role in car design and development. CFD codes can be used to determine different loads on car and thus provide necessary input for the structural design. They can also be used to study and optimize the flow patterns …
Published in Recent Trends in Fluid Mechanics · Vol. 2, Issue 1, 2015 · pp. 26–30 Read article
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Automated Detection of Polycystic Ovarian Syndrome using Neural Network Algorithm
Abstract: The ovarian ultrasound imaging could be a good tool in infertility treatment. Monitoring the follicles is extremely important in human reproduction. Periodic measurements of the scale and shape of follicles over several days are the primary means of evaluation by doctors. Today monitoring the follicles is finished by non-automatic means with human interaction. This work could also be very demanding and inaccurate and, in most of the cases, means only …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 9–13 Read article
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Multi-Class Automatic Emotion Classifier
Abstract: Now a day’s various social networking sites has become a very popular communication tool among internet users across the world. People keep on updating their status, thoughts, opinions, suggestions etc. across the continent which often includes their emotions and sentiments. Therefore social networking sites are rich sources of data for opinion mining and sentiment analysis. In this paper, we are focusing on using Twitter, the most popular social networking platform, …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 15–25 Read article
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An Introduction to Proteome Bioinformatics
Abstract: For basic and translational research, high-throughput approaches are essential. Recent improvements in proteomics techniques, for example, have allowed biomedical researchers to characterise the proteome of a variety of creatures. Proteome bioinformatics approaches and technologies have greatly aided this extraordinary progress. The study and use of informatics in the realm of proteomics is known as proteome bioinformatics. This chapter presents an overview of the computational strategies, methodologies, and techniques for bioinformatics …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 3, 2021 · pp. 7–9 Read article
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Advancements in Humanoid Robotics for Intelligent Automation
Abstract: There is a growing trend in the use of humanoid robots as powerful learning tools for experimental and interactive education in contemporary schools and universities. Humanoid robots are more structurally and kinematically similar to humans than ordinary robots, which positively affects the students’ visualization and hands-on practice with robots. This paper considers the motion control design of an educational humanoid robot powered by the Arduino Mega 2560 Pro Mini board. …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 22–30 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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Machinability and Reliability Analysis of Al6063–Al2O3 Metal Matrix Composites Using Image-Based Flank Wear Evaluation
Abstract: This study explores the machinability and reliability characteristics of Al6063–Al2O3 metal matrix composites (MMCs) as analogues for polymer–metal hybrid composite systems, focusing on their potential use in lightweight structural and metal matrix composite-integrated applications. The composite specimens were fabricated through stir casting with 3% and 9% Al2O3 reinforcements, followed by mechanical characterization that confirmed significant enhancements in hardness and strength compared to unreinforced Al6063. Machining experiments were performed using a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 264–290 Read article
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Drug Design and Process Chemistry: Bridging the Gap between Discovery and Manufacturing
Abstract: This review explores how drug discovery connects with process chemistry to enable large- scale pharmaceutical manufacturing. While drug discovery identifies and optimizes therapeutic compounds, process chemistry adapts these compounds for mass production, addressing challenges in scalability, cost, and quality. The article examines the role of early collaboration between drug designers and process chemists, recent innovations in green chemistry and flow chemistry, and case studies that illustrate successful scale-up strategies. Emerging …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 09–21 Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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The Integration of AI Technologies in Automating Cyber Defense Mechanisms for Cloud Services
Abstract: The swift growth of cloud computing has transformed how organizations handle and store data, providing greater scalability and adaptability. However, the transition to cloud-based environments has heightened the complexity of cybersecurity challenges, especially in detecting and responding to security incidents. Conventional methods of incident response, which heavily depend on manual efforts, are no longer adequate to address the rapidly evolving and complex nature of modern cyber threats. This study explores …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 1–14 Read article
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AI-Powered Face Detection and Recognition Using Machine Learning
Abstract: These days, one of the biggest computer vision technologies is facial recognition. Face identification in computer vision, lighting position, and facial expression is always an extremely challenging issue. In real-time video pictures captured by a video camera, face recognition tracks specific objects. Put simply, it is a system tool that uses a still picture or video frame to automatically identify a person. In this research paper we use different different …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Study of the Effect of Cycle Time of Plasma Nitriding on the Service Life of AISI H-13 Tool Steel Die
Abstract: AISI H-13 tool steel is widely used as a hot-forging die for various automotive components. Usually, to increase the die life, the dies are subjected to additional surface treatment process such as carburizing, gas nitriding, salt bath nitriding, plasma nitriding, etc. The case depth is an important parameter in surface treatment process. In this work, AISI H-13 tool steel hot-forging dies are subjected to plasma nitriding. The nitriding time cycles …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 169–177 Read article
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AI-Powered Solutions for Sustainable Waste Management in Construction Projects
Abstract: The construction industry is a significant contributor to global waste, posing challenges to sustainability and environmental health. This research explores AI-powered solutions for sustainable waste management in construction projects, focusing on optimizing waste reduction, recycling, and resource efficiency. By integrating machine learning algorithms and IoT-enabled sensors, real-time monitoring of waste generation and segregation can be achieved. Predictive analytics and AI-driven decision-making tools are employed to enhance material reuse and minimize …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
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A Review on Mechanization of Process Planning for Automated Fiber Placement
Abstract: Process planning is a crucial phase of the Automatic Fiber Placement (AFP) workflow. It creates valuable and effective system processes centered on working material, composite architecture and manufacturing tools. The existing state of process planning needs a large degree of involvement from the process manager and may benefit significantly from improved automation. A collection of main stages and roles is then drawn up to define the most complex and time-consuming …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 3, 2020 · pp. 9–15 Read article