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262 articles for “AI-Driven Processes”
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Artificial Intelligence–Driven Decision Support Systems for Smart and Efficient Data Analysis
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology reshaping the way organizations process information, analyze data, and support decision-making. With the rapid growth of digital data across sectors, traditional analytical methods often face limitations in handling large, complex, and dynamic datasets. AI-based techniques, particularly machine learning and intelligent decision support systems, provide advanced capabilities for identifying hidden patterns, predicting outcomes, and assisting in data-driven decisions. This paper examines the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Green Hydrogen Production Using Air-Conditioner Condensate Wastewater: A Review of Solar-Powered Electrolysis Systems
Abstract: As the world moves toward sustainable and clean energy solutions, growing attention has been directed toward alternative energy carriers such as Hydrogen (H 2 ). Hydrogen is considered an attractive energy option due to its high-density energy and ecofriendly properties. However, most conventional H 2 production methods rely on fossil-fuel-based processes such as steam methane reforming and coal gasification, which contribute significantly to greenhouse gas emissions and environmental degradation. As …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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AirDraw: Gesture-Driven Sketching for Immersive Design Interfaces
Abstract: AirDraw represents a transformative advancement in artificial intelligence, creating fluid touch-free human-computer interfaces through real-time interpretation of hand gestures as precise design control signals. This paper introduces AirDraw—a revolutionary webcam-powered virtual canvas that redefines creative workflows and educational interactions. Particularly valuable for design students prototyping ideas, senior creators exploring digital art, and users with motor impairments who find traditional peripherals challenging, AirDraw delivers truly inclusive technology access. Unlike conventional gesture …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 · pp. 32–41 Read article
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AI-Driven Prediction of Square-Hole Laser Trepanning Performance in AA7075/15%SiC/15% Glass Fiber Hybrid Composites Using Taguchi–ANOVA and Deep Neural Networks
Abstract: Hybrid AA7075 composites reinforced with 15% silicon carbide (SiC) and 15% glass fiber were fabricated via the stir casting technique to improve machining and structural performance. The addition of dual reinforcements into the aluminum matrix was aimed at enhancing hardness, thermal stability, and surface quality during non-traditional drilling operations. Square-hole drilling was performed using a laser trepanning process, and the key responses—hole size accuracy, surface roughness, and taper angle—were systematically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1932–1943 Read article
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Smart Helmet Driven by Arduino Features Adaptive Sensors and Wireless Communication Technology
Abstract: Equipped with wireless communication technology, sensors, and a microprocessor, the Arduino-Futured Smart Helmet constitutes an incredibly powerful and efficient device. The microcontroller serves as the brains of the helmet, receiving and processing data from the sensors and guiding the other components as necessary. This technology allows the helmet to monitor its surroundings and respond to them immediately. The integrated sensors in the helmet measure temperature, humidity, and fluctuations in the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 1, 2024 · pp. 7–13 Read article
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Aerodynamic Analysis of Foliage Stimulated Airfoil Design for Enhanced Strength with Carbon Fibre-reinforced Polymer
Abstract: Ever since the beginning of aviation, there has been an unwavering desire to improve airfoil design in order to improve aircraft performance. This insatiable desire for improvement has driven innumerable aerodynamicists to create a diverse range of revolutionary airfoils. This research investigates a revolutionary method to airfoil design, inspired by the complicated structures and aerodynamic qualities of natural leaves. Using biomimicry, the project seeks to increase the performance and efficiency …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 560–616 Read article
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Protective Coatings for High-Temperature Applications: Challenges and Innovations
Abstract: High-temperature environments impose significant challenges on materials used in a variety of industrial applications, where components are exposed to extreme heat. These environments can cause a range of issues, including material degradation through processes like corrosion, oxidation, and thermal cycling, which can severely limit the performance, durability, and overall lifespan of components. Over time, these issues may lead to component failure, increased maintenance costs, and even unplanned shutdowns in industrial …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 2, 2025 · pp. 1–9 Read article
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Experiments to Control the Surface-Driven Microfluidic Flow of Dyed Water in Straight PMMA Microchannels Fabricated by Maskless Lithography, Hot Embossing Lithography and Direct Bonding Technique
Abstract: Total six individual straight microchannels are fabricated by maskless lithography, hot embossing lithography and direct bonding technique using author’s own hands-on completely inside the cleanroom laboratory. Polymethylmethacrylate (PMMA) is the selected polymeric material to fabricate these straight microchannels. Dyed water is prepared as working liquid to record and study the microfluidic flow characteristics inside these fabricated microchannels. Air dielectric barrier discharge (DBD) plasma processing is the surface modification technique in …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 7, Issue 1, 2020 · pp. 17–23 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Electric Vehicle And Charging System
Abstract: The swift expansion of Electric Vehicles (EVs) has generated a demand for smart charging structure. This project outlines the design and employment of an Electric Vehicle Charging System emphasizing power delivery, improved energy control and ease of use. The system combines power electronics, microcontroller-guided monitoring, safety apparatuses and an organized charging protocol to guarantee compatibility, with EV battery types. The suggested charger functions by transforming the AC input into a …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 25–31 Read article
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A Study on AI-Driven Multi-Layered Defense in 6G Ecosystems
Abstract: The 6G networks bring about new degrees of possible functions related to connectivity, latency, data throughput, and integration with artificial intelligence (AI). This enables advances within healthcare, autonomous systems, and smart cities. The positive impact of rapid advancements must also be balanced with heightened risks due to the sheer volume of gaps that can be exploited, and the complex nature of the alignments and breaches. This results in the breaches …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Employee Well-Being: Deep Learning Approaches to Stress Detection
Abstract: Stress has become a major concern for employee health, productivity, and overall well-being in today's fast-paced work environment. It is a growing global issue, affecting both individual employees and the productivity of organizations. Work-related stress occurs when the demands of a job surpass an individual's ability to manage, whether because of long hours, overwhelming responsibilities, or other pressures. Factors such as conflicts with coworkers or supervisors, constant changes, and job …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 52–58 Read article
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 26–33 Read article
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Smart Weather Monitoring and Forecasting System Using Machine Learning (ML)
Abstract: The Smart Weather Monitoring System & Forecasting using Machine Learning (ML) represents an innovative approach to modern weather prediction and monitoring. This system combines the capabilities of machine learning algorithms with vast sets of weather data to provide accurate and timely weather forecasts. By collecting and analyzing data points like temperature, humidity, light intensity, rainfall, and atmospheric pressure, the system can generate precise predictions for a wide range of applications. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 1, 2024 · pp. 12–21 Read article
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Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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AIducate: Your Smart Tutor–A Survey
Abstract: The ongoing “datafication” of our social reality has led directly to the emergence of new data-driven business models across various sectors, including education. As a result, the market for educational services is rapidly expanding. Educational technology (EdTech) companies are at the forefront, offering data-driven pedagogical solutions that are reshaping the landscape of learning. Despite the market's growth, few companies are harnessing the full potential of artificial intelligence (AI) and machine …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 25–30 Read article
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IoT Meets Cloud: A Smart Integration
Abstract: Digital transformation and industry change are fueled by a combination of cloud computing and the Internet of Things (IoT). While cloud computing gives scalable resources for processing, storage, and advanced analytics, IoT allows devices to gather, distribute, and analyze data in real time. This connection supports big data and machine learning-driven applications and enhances data management and operational efficiency across industries, such as smart cities, industrial automation, healthcare, and agriculture. …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 26–34 Read article
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Building a Modern Land Registration System: Leveraging Node.js and React.js for Efficiency, Security and Scalability
Abstract: Land registration systems are critical for safeguarding property ownership and enabling efficient real estate transactions. However, traditional systems often suffer from inefficiencies, including lengthy processing times, susceptibility to fraud, and limited accessibility. This study proposes a modernized Land Registration System (LRS) leveraging Node.js for backend development and React.js for frontend design to address these challenges. The system integrates real-time data processing, automated document verification, and role-based access control (RBAC) to …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 1–6 Read article
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Text-to-SQL Systems: A Comprehensive Study of Evolution, Architectural Advancements, Challenges, and the Role of Large Language Models in Intelligent Query Generation
Abstract: Interacting with relational databases traditionally requires knowledge of Structured Query Language (SQL), which creates a significant barrier for users who do not have technical expertise. To address this challenge, Text-to-SQL systems have emerged as an important area of research, enabling users to express their information needs in natural language while automatically generating executable SQL queries. These systems aim to make database access more intuitive, efficient, and accessible across a wide …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 10–19 Read article