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797 articles for “research automation”
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Automated Vessel Segmentation of Retinal Vessels using Hybrid Region Information
Abstract: AbstractRecent researches state that the categorization of retinal vessels into artery/vein (A/V) is a critical phase for automating the detection of vascular adjustments and for the calculation of function symptoms related to numerous systemic illnesses which includes diabetes, high blood pressure, and different cardiovascular situations. This paper affords an automatic method for A/V class, primarily based on the evaluation of a graph extracted from the retinal vasculature. The proposed method …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 28–36 Read article
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Characteristics of Data Warehouse
Abstract: Innovation is a critical factor in any modern business's competitiveness. This study presents the systematized results of research on data warehouse technology with automatic data replenishment from heterogeneous sources. It is suggested that the data warehouses contain information about objects with significant innovative potential. Data warehouse is a database that stores information geared towards meeting decision-making needs. It is a collection of decision-support technologies aimed at empowering knowledge workers (executive, …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 1, 2022 · pp. 28–32 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 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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Angle and Distance Measurement System using Ultrasonic Radar
Abstract: AbstractIn today’s world, automation is prevailing everywhere. Attempts are made to automate various processes to avoid errors due to human negligence and increase efficiency. To automate the object detection and distance measurement ultrasonic sensors are used. Cameras installed in security systems fail to work properly in low or very dim light conditions. Such problems can be solved using ultrasonic sensors. This research paper proposes efficient automated systems using ultrasonic sensors …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 2, 2020 · pp. 1–6 Read article
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Investigating the Impact of Robotics and Automation on Manufacturing Technology
Abstract: Automation and automated machines have dramatically enhanced quality, productivity, and efficiency in industries such as manufacturing at the past few decades. The current research looks at the ways robotics and automation are impacting industrial technologies. The investigation offers an in-depth analysis of the advantages and difficulties connected with the incorporation of robots and automation in industrial processes by evaluating pertinent literature, case studies, and statistics. Conclusions of this research effort …
Published in International Journal of Manufacturing and Production Engineering · Vol. 1, Issue 1, 2023 · pp. 33–38 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 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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Energy Efficiency in Mobile Air-Conditioning—A Survey
Abstract: Abstract In the past decades, it has been observed a significant increase in the global production of vehicles. This situation is more visible in developing countries, like India, Many of these automobiles are equipped with mobile air-conditioning (MAC) systems in order to improve the comfort and security of the occupants. In contrast to these positive characteristics, the MAC systems are also responsible for greenhouse gas emissions and an increase of …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 4, Issue 2, 2017 · pp. 1–12 Read article
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Development of Semantic Ontology for Tourism Information Using Protégé
Abstract: The World Wide Web is widely used as a medium for information exchange but due to non semantic nature of HTML its application is limited. The current web can only display information in a simple manner. Researchers are working on the extension of the World Wide Web which will be intelligent and enable us to exchange content with the applications and websites. Target of Semantic web research is to allow …
Published in Current Trends in Information Technology · Vol. 3, Issue 2, 2013 · pp. 11–15 Read article
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An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead
Abstract: The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources. While there is now extensive optimization of these protocols in contemporary research for channel efficiency (throughput, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 Read article
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General Depiction of An Efficient Bootstrapper-A Review
Abstract: Abstract: Bootstrapping is a technique which can automatically annotate emotional corpora. It is a pre-eminent job aimed by many companies who want to research the sentiments of products before purchase, or many companies that want to observe a view or opinion that is held or expressed by public about their brands. The significance of this research is expressed by the fact that, in the present era, people’s emotions has a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 9–12 Read article
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Nano-enhanced Bio-based Phase Change Materials: A Brief Revie
Abstract: The high latent temperatures and variable melting points of bio-based phase change materials make them ideal for thermal control. This covers heat regulation for medical and pharmaceutical items, building comfort, and high-end electronics and automobiles. In recent years, research and application of energy-saving materials and technologies in buildings has increased strength. Modern construction technology aims to keep old and new structures energy efficient. TES employing PCMs is an energy-efficient approach. …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 15–27 Read article
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Healthcare, Medicines, and the Advancement in Robotics: Pitch the Vision of Smart Public Health
Abstract: Robots are revolutionizing medical procedures, optimizing supply delivery and disinfection processes, and allowing healthcare providers to dedicate more time to patient care and interaction. Intel offers a diverse array of technology solutions designed specifically for the advancement of medical robots, encompassing surgical aids, customizable modules, and self-governing mobile robots. Social robots are human-to-human communicators that may be used to monitor and socialize with patients in long-term care settings. They lessen …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 2, 2024 · pp. 26–29 Read article
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Fake News Detection System Using MultinomialNB and Django Framework
Abstract: The emergence of the World Wide Web and the rapid growth of online platforms have transformed the landscape of news dissemination. However, the rise of social media has also led to an overwhelming influx of potentially unreliable information, making it increasingly challenging to verify the truthfulness of articles. This verification process has become a daunting task, necessitating a thorough examination of various domain-specific aspects to ascertain the credibility of news …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Implementation of Adaptive Control Braking System for Collision-free Driving on Virtual Instrumentation Platform
Abstract: An unaccustomed driver not always has a sound judgment of the surrounding traffic and frequently depresses the brake pedal, causing a poor, jerky drive. Hence, nowadays in high-end cars to provide comfort to passengers while applying sudden brakes without jerks and also in time to avoid collision the adaptive control braking system is used. The main objective of this research study is to automatically monitor the braking force required to …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 50–57 Read article
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Solar Powered Automatic Turmeric Planting Machine
Abstract: AbstractRenewable energy and farming are a winning combination. Agriculture plays an important role in the life of economy. Among various crops, turmeric plays a major role. During manual planting, the labour has to dig the soil. In current technology, semi-automatic machine is used which leads to air and noise pollution due to emission of greenhouse gases. The main intention of this project is to develop a solar powered fully automatic …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 23–29 Read article
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Audio De-noising using Adaptive Inertia Weight Particle Swarm Optimization Algorithm (AIW-PSO)
Abstract: There has been a lot of research in Audio de-noising so far but scope for improvement is always there. The motivation to use AIW-PSO algorithm as a possible alternative is to explore new ways to reduce global cost and to achieve better noise reduction performance. Particle swarm optimization is a heuristic stochastic evolutionary algorithm. However, standard PSO provides unbalanced exploration and exploitation. This paper presents a methodology to improve the …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 2, 2017 · pp. 11–18 Read article
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Advancing EEG Technology for Affordable and Effective Epilepsy Detection
Abstract: For a proper diagnosis and prompt treatment, epilepsy, a neurological condition marked by recurring seizures, needs to be continuously monitored. Manual interpretation is frequently used in traditional approaches for identifying epileptic seizures from electroencephalogram (EEG) signals, which can be laborious and error-prone. In this research, a novel method for automatically detecting epilepsy from EEG data using deep learning algorithms is presented. According to centers for disease control and prevention (CDC) …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 11–18 Read article