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238 articles for “Machine learning”
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Design and Optimization of Heterogeneous Catalysts for Green Chemistry Processes
Abstract: The design and optimization of heterogeneous catalysts are critical for advancing green chemistry processes, aiming to minimize environmental impact while maximizing efficiency. This study explores innovative strategies for the development of heterogeneous catalysts that facilitate environmentally benign reactions. By integrating principles of catalyst design, surface science, and reaction engineering, we aim to enhance catalytic performance, selectivity, and stability. Catalyst composition and structure, investigating novel materials, including metal-organic frameworks (MOFs), zeolites, …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 10, Issue 1, 2025 · pp. 42–48 Read article
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Optimizing Aircraft Navigation Control: An ExtensiveReview
Abstract: In the earlier world, the number of airplane uses and transportation through airlines were limited butnow the people are upgraded, and they choose the easiest way for transportation then naturally the airtraffic is also increased. Optimizing aircraft navigation control has become an important field ofresearch because of the quick advances in aviation technology and the growing desire for economicalair travel. A detailed overview of contemporary aircraft navigation optimization techniques,technologies, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 32–36 Read article
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Multi Label Sentiment Analysis of Covid Handling of Government through Tweets
Abstract: Determining someone's emotional state from a written text might be challenging, but it's crucial because textual expressions often transcend the use of emotion terminology. They emerge from the way concepts are seen and relate to one another inside the text. Text sentiment recognition is a critical skill for human-computer interaction. Text-based emotion recognition still requires further research, despite significant progress in speech and facial expression emotion detection. expressions and movements. …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 26–31 Read article
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A Review on Nanotechnology for Catalysis and Solar Energy Conversion
Abstract: Abstract This roadmap on Nanotechnology for Catalysis and Solar Energy Conversion focuses on the application of nanotechnology in addressing the current challenges of energy conversion: ‘high efficiency, stability, safety, and the potential for low-cost/scalable manufacturing. Solar-to-fuel conversion involves using nanotechnology to improve the efficiency and effectiveness of converting solar energy into chemical fuels. Solar Water Splitting Nanotechnology is applied to enhance the process of splitting water into hydrogen and oxygen …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 1, 2024 · pp. 1–9 Read article
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Facial Recognition in Education: Revolutionizing Attendance Tracking for Enhanced Efficiency and Security
Abstract: The goal of this project is to develop a facial recognition-based attendance system for educational institutions to improve and modernize the current system and make it more effective and efficient than it was in the past. The distinctive features of the human face allow for individual identification. Since there is little chance of a face deviating or being duplicated, it is utilized to trace identification. The article also covers the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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A Review on Nanotechnology for Catalysis and Solar Energy Conversion
Abstract: This roadmap on Nanotechnology for Catalysis and Solar Energy Conversion focuses on theapplication of nanotechnology in addressing the current challenges of energy conversion: ‘highefficiency, stability, safety, and the potential for low-cost/scalable manufacturing.Solar-to-fuel conversion involves using nanotechnology to improve the efficiency and effectivenessof converting solar energy into chemical fuels. Solar Water Splitting Nanotechnology is applied toenhance the process of splitting water into hydrogen and oxygen using solar energy. SolarPhotovoltaics The roadmap …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 1, 2024 Read article
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Need of Modern Technologies in Agriculture
Abstract: The surge in population growth coupled with the diminishing availability of cultivable land has significantly heightened the strain on arable areas. While the provision of sustenance for the underprivileged remains a pressing issue, the focus has expanded beyond mere food provision to ensuring a nutritionally balanced diet. Consequently, there arises an urgent imperative to delve into contemporary methodologies aimed at not only feeding the burgeoning population but also preserving essential …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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ML Based Agro Solution
Abstract: Nowadays, in India, the climatic conditions change rapidly. Sometimes the climate is cold, sometimes it turns out to be humid. In such drastic conditions, farmers are unable to decide which crop we must grow in that particular season according to that climate. This becomes a tedious task for the farmers during decision making. Also, it becomes difficult for the farmers to detect what kind of disease has happened to the …
Published in International Journal of Agrochemistry · Vol. 8, Issue 1, 2022 · pp. 1–5 Read article
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Novel Approaches to Thermodynamic Optimization in Industrial Processes
Abstract: Thermodynamic optimization in industrial processes stands as a pivotal pursuit in enhancing efficiency, sustainability, and economic viability. Traditional methodologies have primarily focused on established principles, yet the escalating demands for resource conservation and emissions reduction necessitate innovative strategies. This abstract presents a compendium of novel approaches aimed at revolutionizing thermodynamic optimization in industrial settings. Firstly, the incorporation of advanced machine learning algorithms unveils unprecedented opportunities for predictive modeling and real-time …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
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Intelligent Transport System for the Development of Smart Cities
Abstract: Increment in activity thickness on the planet brings about more blockage, air contamination and mishaps. Consequently Intelligent Transport System (ITS) has been risen as an answer for different transport related issues. The point of this examination paper is to lead precise investigation on ITS. Strategies/Statistical Analysis: ITS is characterized as the arrangement of uses which are progress and plan to apply keen data and correspondence advancements keeping in mind the …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 2, Issue 2, 2016 · pp. 20–29 Read article
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A Review on Artificial Intelligence, Internet of Things and Wearable Technology for Smart Healthcare
Abstract: The healthcare industry is no longer an isolated area unaffected by technology advancements. Healthcare is driven by technology more than any other force, and it will continue to evolve in spectacular ways in the future. Artificial Intelligence, Internet of Things, Big Data, Cloud Computing, Smart Wearables, and other cutting-edge healthcare technologies have transformed traditional healthcare into smart healthcare. Technology has allowed us to keep a close eye on our health …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 26–34 Read article
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Data Analytics and Visualization for Unveiling Insights from Digital Twins: Trends and Challenges
Abstract: igital twins represent a paradigm shift in engineering analytics and simulations. As virtual replicas of physical assets and processes, digital twins require the confluence of massive amounts of data, predictive analytics, and visualization capabilities to unlock their full potential. This study provides a comprehensive overview of the role of data analytics and visualization techniques in extracting value from digital twin data. An in-depth literature review analyzes current research trends and …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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Feature Extraction: Comparing Feature Extractors
Abstract: Machine learning is getting fuzz nowadays a lot. In order to train the computer to recognize the set of images is the key factor. For this neural networks and classifiers are used to do the identification and recognition. Now do the matching feature points or the interest points are required which makes it to our area of research i.e. feature extractors. In our paper we compared various feature extractors Fast, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 1, 2018 · pp. 12–17 Read article
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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 42–47 Read article
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AI-Artificial Intelligence
Abstract: — In this paper, we pursue to offer an introduction to AI to policymakers and other stakeholders in the wider Internet ecosystem. The paper describes the basics of the technology behind AI, recognizes the key considerations and challenges surrounding the technology, and offers several high-level principles and recommendations to follow when dealing with the technology. Keyword: AI, Machine Learning, Key Consideration, Algorithms.
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 21–31 Read article
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Feature Extraction and Evaluation of Colon Cancer Using PCA, LDA and Gene Expression
Abstract: At about 90 per cent of cases occurring in 50 people or older, colorectal cancer is the second most common type of cancer globally. Cancers may penetrate the deeper layers of colon and spread to other organs from the inner surface or from the muscular layer of the colon. The illness is lethal left untreated. Current screening of colon cancer is performed by colonoscopy. Visual examination of the colon and …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 26–32 Read article
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Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification
Abstract: Current evolution in technology has resulted in tremendous growth of data with respect to dimensionality and sample size. Knowledge discovery from these high dimensional data are becoming cumbersome. Though powerful machine learning algorithms are prevalent, noisy data, imperfect sensing and collection of data leads to poor and defective knowledge discovery. Noise and redundant features cannot be circumvented due to which data collection process is biased. Dimensionality reduction techniques namely feature …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 39–51 Read article
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Water Quality Monitoring System
Abstract: For water resources to be used in a safe and sustainable manner, water quality monitoring is crucial. In this article, we present a comprehensive system for tracking a variety of metrics, such as pH, temperature, conductivity, total dissolved solids, and others, in water quality. Sensors and other analytical instruments are used in the system to gather data, which is then wirelessly transmitted to a central database for analysis and storage. …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 2, 2022 · pp. 28–33 Read article
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A New Architectural Model Shift Beyond the Cloud in Python Using PS
Abstract: Nowadays, data science initiatives are typically generated in an unstructured manner, making replication difficult. Transitioning from an experimental to a production environment is also difficult. Data scientists may transfer a pipeline from a local environment to the cloud using operational techniques like containerization, continuous deployment, and cloud orchestration. Recognizing the difficulties associated with establishing those procedures, this study proposes a framework for easier experiment monitoring and machine learning operationalization by …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 1–5 Read article
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Artificial Intelligence Based Twitter Sentiment Estimation
Abstract: Twitter is platform which provide services like micro blogging in which user have to write the thought in less than 140 words. The objective of tweet sentiment analysis is to view as the positive, negative,or impartial, happy, sad, satisfied, and other emotional sentiment part in the twitter information. Sentiment analysis can assist any association with tracking down individuals' assessments of theirorganization and items. Twitter is increasing their services at an …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 6–12 Read article