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48 articles for “Intelligent automation (AI)”
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Farm Management for Sustainable AI and IOT Based Agriculture
Abstract: The sector of agriculture has undergone a transformation thanks to the integration of synthetic Artificial intelligence (AI) and The Internet of Things. This has made it conceivable to move towards smart agriculture and promote the evolution of sustainable farming methods. In-depth study of the uses, approaches, difficulties, and potential applications IoT and AI in intelligent agriculture and sustainable farming is offered in this survey report. We examine the several AI …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Legal Ease: An End-to-End Automated Legal Document Processing System Using LLMs and OCR
Abstract: This paper describes an automated legal document processing system that uses modern technologies, such as Large Language Models (LLMs) and Optical Character Recognition (OCR). Designed to streamline legal procedures, the system allows users to submit legal documents in PDF format and uses Tesseract-powered OCR to extract and digitize text while keeping the document’s layout and structure. The digitized text is processed by an LLM that has been fine-tuned using legal …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 29–32 Read article
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Innovative Approaches to Molecular Synthesis for Drug Development
Abstract: The rapidly evolving field of drug development continually seeks innovative methodologies to enhance the efficiency, specificity, and scalability of molecular synthesis. This paper explores recent advancements in synthetic chemistry, focusing on techniques that have shown significant promise in addressing the challenges faced in drug discovery and development. Automated Synthesis: The advent of machine learning and artificial intelligence (AI) in synthetic chemistry has led to the development of automated synthesis platforms. …
Published in International Journal of Chemical Engineering and Processing · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
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A Literature Review on Comparative Analysis of Non-Contact AI Vision-Controlled Diameter Measurement vs. Conventional Methods in Flux Core Wire Drawing Measurement
Abstract: AbstractEnsuring precise diameter control in flux core wire drawing is crucial for maintaining welding wirequality and performance. Conventional measurement methods, which often rely on manual inspectionor mechanical techniques, face limitations in accuracy, consistency, and responsiveness. This studyexplores the application of AI vision-controlled systems to address these challenges by enabling realtime,high-precision, non-contact diameter measurement. Through an extensive review of researchpapers and patents, this paper examines the advancements in AI-based monitoring techniques …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 8–16 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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AI Techniques for Data Analytics and Data Science: Software Tools, Research Challenges, Applications: A Review
Abstract: Artificial intelligence is the branch of Computer Science in which multidisciplinary expertise is required and ultimately the main aim is to automate the activities of all human which require human intelligence. The main issue is to design or create machine that completely works like a human brain. Artificial Intelligence architecture focuses on evaluation and redesigns design process. Now days Data Science is most popular all around the world and is …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 1, 2019 · pp. 9–17 Read article
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The Transformative Power of AI and Machine Learningin Education
Abstract: A revolutionary factor that evolves how learning is experienced and how educational systems function is the incorporation of artificial intelligence (AI) and machine learning (ML) in the classroom. Data- driven decision-making, administrative work automated processes, real-time feedback, and education personalization are all made possible by AI and ML technologies, which are no longer just found in research and industry. This study addresses the various ways that AI and ML can …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Multifunctional Composite Materials: Innovations AndApplications
Abstract: The development of multifunctional composite materials has revolutionized various industries byintegrating multiple functionalities into single material systems. These advanced composites, designedto perform more than one function, offer significant advantages in terms of performance, efficiency,and sustainability. This paper explores the latest innovations in multifunctional composite materials,focusing on their design, fabrication, and diverse applications. Innovations in this field have led to thecreation of composites that combine structural integrity with additional capabilities such …
Published in International Journal of Composite Materials and Matrices · Vol. 10, Issue 1, 2024 · pp. 28–34 Read article
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A Role of Machine Learning for Students' Academic Success Prediction
Abstract: This research paper aims to identify early predictions of students’ academic success with the help of different indicators. One of the crucial parts of the study is identifying additional indicators that play an essential role in defining students' academic success. Early prediction of success will be helpful for various stakeholders such as students, parents, educators/teachers, institutions, universities, and the government. Machine Learning is a part of Artificial Intelligence (AI) and …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Biosensors Powered by Nanotechnology forContinuous Insulin Delivery and GlucoseMonitoring in Diabetes Management
Abstract: Diabetes mellitus is a chronic metabolic disorder that necessitates continuous glucose monitoring and precise insulin delivery for effective management. Traditional methods often fall short in maintaining the necessary levels of accuracy and convenience, thereby posing challenges in achieving optimal glycemic control. Nanotechnology-enabled biosensors have revolutionized this field by leveraging the unique properties of nanomaterials, offering significant improvements in sensitivity, selectivity, and biocompatibility. This article delves deeply into the transformative role …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 1, 2024 · pp. 13–24 Read article
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An Overview on Harmonic Intelligence: BridgingMicrowave Sensing and AI-Driven IoT for Autonomous Decision-Making
Abstract: As the Internet of Things (IoT) ecosystem expands into complex industrial and urban environments, the demand for high-fidelity data acquisition and near-instantaneous edge processing has reached a critical juncture. Traditional optical and infrared sensors often falter under adverse conditions, such as dense smoke, occlusions, or low-light environments. This paper explores the transformative potential of microwave signals—leveraging their unique ability to penetrate non-metallic materials and operate independently of ambient lighting—as the …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Using Building Intelligence as an Aiding Tool for Livelihood during Pandemic Situation COVID-19
Abstract: It has been experienced that Building Intelligence is constantly evolving among ongoing era. Utilization of Building automation system can now emerge as a very useful tool for livelihood during pandemic situations like COVID-19. It can help the user occupants to access, utilize and work from home or their native environment. This will ensure working with minimal physical contact as well as safety from physical transmission of virus infection. Considering that …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 6, Issue 2, 2020 · pp. 1–6 Read article
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FROM CLOUD TO EDGE – THE COMPREHENSIVE IMPACT OF EDGE AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how Edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology.Autonomous driving, smart cities, healthcare …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 Read article
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AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization
Abstract: Intravenous (IV) infusion therapy is an essential component of modern healthcare, widely used for administering fluids, medications, and nutrients in clinical settings. However, traditional infusion monitoring methods rely heavily on manual observation by nursing staff, which increases the risk of human error, delayed interventions, and excessive workload. The integration of Artificial Intelligence (AI) into IV infusion systems has introduced a transformative approach to real-time monitoring, predictive analytics, and automated alert …
Published in International Journal of Nursing Critical Care · Vol. 12, Issue 1, 2026 · pp. 10–18 Read article
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AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
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Intelligent IoT-Based Parking System for Smart City Applications
Abstract: Abstract Modern urban life is increasingly disrupted by one of its most overlooked problems: inefficient and outdated parking systems. From long vehicle queues to wasted time and fuel, the lack of automation in parking management continues to create unnecessary stress for both drivers and facility operators. The absence of intelligent monitoring often results in poor space utilization and chaotic movement within parking areas. This research aims to solve that problem …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 2, 2025 · pp. 18–24 Read article
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Deep Learning Techniques for Optimizing Resource Allocation and Sustainability in the Next Generation of 6G Wireless Networks
Abstract: The upcoming sixth generation (6G) of wireless communication networks aims to meet challenging requirements such as ultra-reliable low-latency services, massive connectivity for billions of smart devices, and intelligent automation across highly diverse environments. Along with these goals, the issues of energy efficiency and environmental sustainability are becoming equally important, as the rising number of users and traffic volumes will directly increase power demand and carbon emissions. To lower total energy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Sentimental Analysis on Movie Review Using Artificial Intelligence and Machine Learning
Abstract: A recent area of study with applications in many other fields is sentiment analysis. Sentimental analysis helps to classify a subject’s sentiments (e.g., positive, negative, or neutral) automatically towards a specific topic, product, news, or any movie. Machine learning is a powerful technique of artificial intelligence (AI) to control the increasing demand for accurate sentimental analysis. Online reviews, comments, and polls are used to collect a sizable amount of textual …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 43–50 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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A Sensor Integrated Tool for Cutting Force Monitoring in Gantry Milling to Improve Flatness and Surface Finish: Review Study
Abstract: AbstractPrecision machining of sector plates plays a vital role in the efficient functioning of Air Pre-Heaters(APH), which are integral components of thermal power plants. These plates are subjected to harshthermal cycles and mechanical loads, making dimensional accuracy critical. For optimal heatexchange performance and mechanical reliability, it is essential to maintain tight manufacturingtolerances – flatness within ±400 microns and thickness up to 13 mm. Deviation from theseparameters can lead to air …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 25–45 Read article