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137 articles for “Data Pre-processing”
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Kinetic Modeling of Biomass Pyrolysis for Renewable Energy Production.
Abstract: Biomass pyrolysis is a promising technology for renewable energy production, offering a sustainable alternative to fossil fuels. This process involves the thermal decomposition of organic materials in the absence of oxygen, resulting in the generation of bio-oil, syngas, and biochar. Kinetic modeling of biomass pyrolysis is essential for optimizing the process and enhancing the yield and quality of the products. This abstract presents a comprehensive review of kinetic models used …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Advanced Magnesium-Based Metallic GlassComposites for Biomedical Implant Applications: AMachine-Learning-Informed Approach
Abstract: Magnesium-based bulk metallic glasses (Mg-BMGs) combine strength, low density, and tunable degradability. Their amorphous matrix has a small plastic process zone. This zone is only about 4 μm wide. A small process zone keeps most glasses brittle. Adding a second phase is the best fix. This chapter extends Mg-BMGs to true composites. We call these Mg-based bulk metallic glass composites, or Mg- BMGCs. The chapter covers matrix engineering and interfacial …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 · pp. 48–65 Read article
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Integration of CAD – CAM SYSTEM FOR NEXT – Generation smart manufacturing
Abstract: Abstract The emergence of Industry 4.0 has transformed traditional manufacturing by promoting automation, intelligence, and connectivity across production systems. Integrating Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) has become essential for achieving seamless data exchange, efficient product design, and precise manufacturing operations. This integration enables a unified digital workflow that connects design intent directly to machining processes, thereby reducing errors, improving productivity, and shortening product development cycles. Advanced technologies such …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Real-Time Language Translation Application Using Tkinter
Abstract: This application, "Real Time Language Translation Application Using Tkinter," was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google's Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Thermodynamic of Biomass Pyrolysis of RenewableEnergy Production
Abstract: Biomass pyrolysis is a pivotal thermochemical process for converting organic materials into valuable biofuels and chemicals, playing a critical role in the renewable energy landscape. This study explores the thermodynamic principles underlying biomass pyrolysis, emphasizing its potential for sustainable energy production. In this process, biomass is thermally broken down in the absence of oxygen, producing syngas, biochar, and bio-oil. Thermodynamic analysis provides insights into the energy requirements, reaction pathways, and …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 1, 2024 Read article
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IMPLEMENTATION OF VOTING MACHINE TO AVOID RIGGING USING VERILOG HDL
Abstract: With almost 970 million eligible voters, India holds the title of the largest democratic nation. The traditional voting method that used paper was a lengthy process and highly susceptible to mistakes. Electronic voting machines (EVMs) make voting easy, safe, and quick. It decreases the human effort, errors in the time of vote counting. But in the existing EVM there is lack of authentication, i,e one’s vote can be stolen by …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 27–32 Read article
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Unlocking Insights, Optimizing Processes: A Review Of Machine Learning In Action
Abstract: Machine learning (ML) has become a disruptive technology with applications in many different fields and sectors. Machine learning techniques are transforming the way data is examined, patterns are found, and decisions are made in a variety of industries, including healthcare, finance, manufacturing, and transportation. ML is improving drug discovery, treatment strategies, and diagnostics in the healthcare industry. In the financial sector, this means maximizing risk mitigation, credit scoring, and fraud …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 14–22 Read article
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From Silicon to Cells: The Emerging World of DNA DataStorage
Abstract: DNA data storage is a technology that takes advantage of the inherent characteristics of DNA to store large quantities of data in a highly compact and long-lasting format. This article provides detailed insights into how DNA storage works, as well as analytical methods like encoding, decoding, synthesis, sequencing, and error-correction methods . It investigates many ways DNA storage can be a solution for various fields, from archival data systems and …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 2, 2025 Read article
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Processing–Structure–Property Relationships in Advanced Manufacturing of Functional Materials
Abstract: AbstractMechanical processing is very important in modern production since it changes raw materials into usable parts with exact sizes and qualities. This article looks at the basic methods of mechanical processing, such as cutting, shaping, grinding, milling, and joining. It also talks about how important these methods are for getting things done quickly, accurately, and with the least amount of material possible. Recent advancements, including computer numerical control (CNC) machining, …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 25–34 Read article
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Application of Building Information Modelling (BIM) in IGBC Certified Green Building Project: Transforming Construction Sustainability
Abstract: Abstract Construction industry sustainability goals can be achieved through implementation of Building Information Modelling (BIM), which simultaneously contribute to Lifecycle Cost Assessments of building projects. BIM’s integrated approach to design, construction, and facility management contributes to more sustainable building practices by enabling better decision-making throughout a project’s lifecycle. Design IGBC certified green building project with the help of BIM to analyse key aspects of sustainable development, including energy efficiency, water …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 Read article
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Smart Cow Shelter Temperature Monitoring System
Abstract: This paper presents the Smart Cow Shelter Temperature Monitoring System, utilizing an Arduino and DHT11 sensor to enhance livestock welfare through automated environmental monitoring. Technology overcomes the drawbacks of manual techniques by continuously monitoring temperature and humidity. The Arduino microcontroller processes real-time data from the DHT11 sensor. Visual indicators (LEDs) and an alert system (buzzer) notify farmers when conditions exceed safe thresholds, allowing for timely interventions. Testing demonstrated the system’s …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 31–40 Read article
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Cognitive Metallurgy: A Study on Microstructure and Energy Efficiency in High-Temperature Alloying via Sensor Fusion and Deep Reinforcement Learning
Abstract: Background Traditional high-temperature metallurgical processes, such as continuous casting and specialty alloy synthesis, are characterized by high energy consumption, stochastic variability, and reliance on post-process defect inspection. The inability to precisely monitor, model, and predict the real-time thermal, chemical, and mechanical state of molten metal and cooling substrates results in significant material waste and inconsistent microstructural integrity. Methodology This study introduces a novel framework for Cognitive Metallurgy utilizing an integrated …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 2, 2025 · pp. 27–36 Read article
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A Review of Combustion Modeling Techniques for IC Engines: CFD Simulations and Experimental Correlations
Abstract: For a long time, internal combustion (IC) engines have been the mainstay of power generating and transportation systems. However, a move toward cleaner and more efficient engine technologies has been spurred by stricter pollution restrictions and growing environmental concerns. In this context, combustion modeling has emerged as a critical tool for understanding in-cylinder processes and improving engine performance. This review focuses on the evolution and application of various combustion modeling …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 1, 2025 · pp. 13–20 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Industrial IoT Based Health Monitoring System of Motor and Transformer
Abstract: This research presents an Industrial IoT-based health monitoring system tailored for motor and transformer components in industrial environments. Integrating advanced sensors, microcontrollers, and MQTT communication, the system enables real-time monitoring and predictive maintenance. Accurate measurement of critical parameters, coupled with effective anomaly detection algorithms, empowers operators to pre-emptively address potential equipment failures. The system's reliability and effectiveness in optimizing equipment reliability and minimizing downtime offer a promising solution for industrial …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 1, 2024 · pp. 13–19 Read article
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Transportable Water and Air Quality Monitoring Equipment Karishma
Abstract: The purpose of this article is to provide a broad summary of recent discoveries, identify important constraints, and suggest future lines of inquiry. In recent years, pollution has surpassed the environment's bearing capacity. There hasn't been much progress despite the installation of multiple pollution-control initiatives. Natural resources are occasionally exploited by unavoidable waste discharges, despite our government's best attempts to safeguard them. For instance, the water-intensive and polluting sectors of …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Advances in Agrochemistry for Sustainable Crop and Soil Management
Abstract: Agrochemistry plays a pivotal role in ensuring sustainable crop production and long-term soil health in the face of increasing global food demand, climate change, and environmental degradation. Conventional agricultural practices, characterized by excessive use of chemical fertilizers and pesticides, have led to soil nutrient imbalance, reduced microbial diversity, and environmental contamination. In response to these challenges, recent advances in agrochemistry have focused on developing sustainable and environmentally friendly approaches for …
Published in International Journal of Agrochemistry · Vol. 12, Issue 1, 2026 · pp. 26–31 Read article
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A Review on FPGA-Based Automatic Crash Detection and Airbag Deployment System
Abstract: Every year there are many people die or become injured due to car crashes around the world- -these injuries can vary from slight to severe. Airbags prevent car accident related injury and death. In order for the airbag to operate successfully (i.e., airbag to deploy properly, at the right speed, for the right amount of time) there has to be a decrease in the time that it takes to deploy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article