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1893 articles for “pre-processing”
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TensorFlow-Based Big Data Analytics for IoT Networks: A Study
Abstract: Internet of Things (IoT) has exploded in recent years, connecting billions of devices generating massive amounts of data. This deluge presents both a significant opportunity and a considerable challenge. While the potential insights hidden within this data are transformative, customary data processing techniques frequently fall short when handled with the velocity, volume, and variety of IoT-generated data. This is where Big Data technologies step in, offering the tools and infrastructure …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 31–38 Read article
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Navigating Polymer Processing: Advances, Challenges, and Future Horizons
Abstract: Polymer processing and composite manufacturing stand as crucial pillars in modern industry, facilitating the creation of materials tailored to specific requirements. This abstract delves into the multifaceted realm of techniques and methodologies governing these processes, essential for ensuring the delivery of materials endowed with desired properties and functionalities. A meticulous examination of extant literature forms the foundation, shedding light on the evolving landscape, challenges encountered, and promising avenues ahead. Traditional …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 179–192 Read article
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FlexEdify: Adaptive Learning Platform
Abstract: FlexEdify is an innovative adaptive learning platform revolutionizing the educational experience by customizing content to meet the unique needs of each student. Utilizing state-of-the-art machine learning algorithms, the system promptly analyzes students' real-time errors, meticulously storing them in a centralized database. This database serves as the cornerstone for adaptive questioning, allowing the platform to dynamically adjust subsequent content based on individual weaknesses. The platform features a user-friendly interface, guaranteeing accessibility …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 20–24 Read article
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Digital Voting System Using Blockchain
Abstract: The advent of blockchain technology has ushered in a new era of secure, transparent, and decentralized systems, providing a promising foundation for various applications, including electronic voting (e-voting). This report examines the development and deployment of a blockchain-based e-voting system designed to tackle the ongoing issues of security, transparency, and voter privacy in elections. The system utilizes blockchain's core features, including immutability, decentralization, and cryptographic security, to establish a secure …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 8–14 Read article
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A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Physical Modeling of Mass Transport Processes in Extraterrestrial Landscapes
Abstract: Currently the progress in physical models based on mass transport in both the Earth's surface and extraterresterial landscape has been growing. It is a frame work involving different natural and made made processes including aeline process, fluid flow process, magmal movement, Geomagnetic stroms, and clould flow modesl etc. These process encorporates Physical models and appraches which help to simulate, compute and experiment in order to reduce complexity. However, their operating …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 47–54 Read article
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Emerging Trends in Photobiology: Exploring the Photophysics and Photobiology of the Eye
Abstract: The eye consists of three main segments: the cornea, lens, and retina. The primary function of the anterior ocular tissue, the cornea and lens, is to transmit and focus light onto the retina without distortion. They also filter UV light (under 400 nm), preventing it from reaching the retina. While light reaching the retina is mostly used for vision, it can also have various effects on the eye's constituents, both …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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AI and IoT for Precision Farming: Transforming Indian Agriculture
Abstract: Agriculture plays a crucial role in the global economy with the exponential rise in population. There is a parallel increase in the demand for food and employment exerting pressure on conventional farming methods. These traditional techniques are often inadequate in meeting current agricultural demands. Consequently, automation in agriculture has gained significant attention as an evolving field. The integration of artificial intelligence (AI) into agricultural processes has led to a transformative …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 7–15 Read article
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A comprehensive review on Sustainable Pathways to Synthesize 2, 5-Furandicarboxylic Acid (FDCA) from 5-Hydroxymethylfurfural (HMF) via Oxidative Processes
Abstract: The increasing global concern over the environmental impact of traditional plastics derived from petroleum and natural gas has spurred a search for more sustainable alternatives. Bioplastics, which are derived from renewable sources and may be biodegradable, have garnered significant interest as eco-friendly materials. Among the promising building blocks for bioplastics, 2,5-Furandicarboxylic Acid (FDCA) has emerged due to its potential to enhance polymer properties. One key precursor for bioplastics, 5-Hydroxymethylfurfural (5-HMF), …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 2, 2024 · pp. 01–13 Read article
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Estimating Heavy Ion Concentrations in the Shatt AlKufa Area and Studying Methods for Recycling Wastewater
Abstract: This study includes practical methods for treating chemical pollution in wastewater. The proper disposal of wastewater is essential for providing a healthy environment for communities, adhering to international standards and utilizing the latest chemical and scientific methods to maintain a surrounding environment free from sewage pollutants. The goal of wastewater treatment is to prepare it for discharge into agricultural drains or for use in irrigation. Treatment removes a large percentage …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 17–22 Read article
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Study of pH Behaviour of Slurry on Surface Morphology of Copper Material with Single Pole Magnetic Abrasive Finishing Process
Abstract: The chemical oxidizers—sodium hydroxide, Marshall’s acid salt, and hydrogen peroxide—were effectively employed in the wet polishing of copper using the SPMAF experimental setup. The manuscript explores preparation of slurry used for polishing copper material using single pole magnetic abrasive finishing (SPMAF) framework. The slurry contains distilled water, 1200-grit aluminum oxide abrasives, sodium hydroxide (NaOH), potassium persulfate (K₂S₂O₈), and hydrogen peroxide (H₂O₂), combined in precise amount. Specifically, 100 ml of distilled …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1887–1896 Read article
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
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Blockchain for Transparent and Secure Electronic Voting
Abstract: A secure and transparent electronic voting system leveraging blockchain technology addresses the critical need for trustworthy and efficient electoral processes. By integrating blockchain, the system ensures that each voter can only cast their vote once, and the integrity of the vote is maintained without interference. Blockchain’s decentralized and tamper-resistant nature safeguards the voting records, preventing any fraudulent activities or unauthorized alterations. Each vote is treated as a transaction in the …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 23–28 Read article
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Modeling Galaxy Formation in a Hierarchical Universe: A Fiducial Approach and Comparison with Observational Data
Abstract: We have developed a detailed model to understand how galaxies form in the framework of hierarchical theories of structure formation. Our model accounts for key processes like the formation and merging of dark matter halos, the heating and cooling of gas inside these halos, the regulation of star formation driven by energy from evolving stars and supernovae, galaxy mergers, and the changes in star populations over time. This approach is …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 · pp. 30–36 Read article
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Study and Analysis of Developments in ChatGPT and Impact on Humanity
Abstract: This research paper examines the ChatGPT model of Artificial Intelligence, including its architecture, training process, applications, issues, and future advancements. ChatGPT employs a transformer-based design and undergoes pre-training and fine-tuning procedures. Its applications are conversational AI, translation, content generation, and research. In the real world, you can find it helping in online shops, banks, hospitals, and customer service. We also want to make sure it treats everyone fairly, stays safe, …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 2, 2023 · pp. 18–25 Read article
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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Evolution of Kitchen Robots: A Review
Abstract: Robots are the machines designed and developed by humans which are more capable and efficient in doing such works and tasks which humans are unable to do or do with less efficiency. These machines are able to perform the tasks which are hard or impossible for humans. There are many robots which resemble like human, animal or even insects and are employed in different sectors. For example, dogs in bomb …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 32–47 Read article
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Big Data in Chemistry: Problems and Answers
Abstract: The rapid growth of experimental and computational chemistry data, researchers now have access to vast datasets, presenting both significant opportunities and challenges. This paper explores the primary challenges associated with managing, processing, and utilizing big data in chemistry, including data heterogeneity, integration across various scales and systems, lack of standardized formats, and the need for advanced tools for data analysis. Additionally, the paper discusses the ethical concerns of data ownership, …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 9–14 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