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272 articles for “large scale”
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Optimizing System Management: Innovative Approaches to Shell Scripting for Automation in Large-Scale Systems
Abstract: In today’s dynamically changing technology environment, effective systems management is of utmost importance for enterprises that run their applications or services on large-scale infrastructure. In this article, I detail some of these practices as applied to shell scripting, a fundamental building block for process automation in such environments. Using these advanced scripting methods, system administrators can perform routine tasks much more efficiently than they would manually and greatly reduce the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 32–40 Read article
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On-Farm Demonstration of Improved Sorghum (Sorghum bicolor L. Moench) Technologies in Cluster based Large scale Approaches at Gofa Zone, Southern Ethiopia
Abstract: Sorghum is used as a source of food and cash for smallholder farmers in drought phrone areas of Gofa Zone. Farmers produce sorghum traditionally without proper management and input use and as a result yield obtained by farmers was far below the crop potential. Therefore, Arba Minch Agricultural Research Center carried out a cluster-based large-scale demonstration of improved sorghum in Melo-Koza and Zala Districts of the Gofa Zone in Southern …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 1, 2024 · pp. 23–30 Read article
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Advancing IoT Connectivity through Very Large-Scale Integration of Semiconductor Technology
Abstract: The term "integrated circuit" as it is currently used typically refers to a monolithic IC, which is significantly different from an HIC in that the former is created by joining several components on a substrate, while the latter is created in a sequence of steps using a single wafer that is subsequently divided into chips. Hybrid chips are perfect for complicated applications in sectors like artificial intelligence (AI), the Internet …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 54–63 Read article
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Investigation of Robotic Transverse Twin-Wire GMAW for Large-Scale Wire-Arc Additive Manufacturing Applications
Abstract: Bulk metal additive manufacturing using wire-arc processes has gained significant attention for fabricating large-scale engineering components due to their high deposition rate and material efficiency. In this study, the feasibility and performance of robotic transverse twin-wire gas metal arc welding (GMAW) for bulk wire-arc additive manufacturing (WAAM) is systematically assessed. The research focuses on understanding arc stability, weld bead characteristics, and process–product relationships under high-deposition conditions. Welding current signals from …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 · pp. 36–50 Read article
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Large-Scale Green Hydrogen Storage and Transportation: Advancements and Challenges for Sustainable Energy Integration
Abstract: The transition from non-renewable energy sources to renewable energy sources is a significant step in the direction of a sustainable future. Hydrogen is acknowledged as a great renewable energy source, which may help overcome the energy intermittency challenges. Hydrogen must have convenient storage and transportation to become a green hydrogen, i.e., greenhouse gas emission-free energy carrier. Large-scale green hydrogen storage and transportation are pivotal for the effective integration of renewable …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 3, 2024 Read article
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Screening of Pharmaceutically Significant Methioninase-Producing Fungi from the Satpura Range of Hoshangabad District and Its Large-Scale Production
Abstract: L-methioninase, an enzyme with notable anticancer properties, has emerged as a promising therapeutic agent due to its ability to selectively degrade methionine, a critical amino acid for the survival of methionine-dependent cancer cells. Methionine dependency, observed in many tumor cells, is a metabolic vulnerability that can be exploited for targeted cancer therapy. The Satpura Range in the Narmadapuram District, India, with its diverse microbial ecosystems, offers a rich reservoir for …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 33–43 Read article
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The Green Cost of Generative Ai: Environmental Sustainability Implications of Large-Scale Ai Systems
Abstract: Generative Artificial Intelligence (GenAI) has advanced rapidly in scale and complexity, enabling powerful capabilities in automated content creation, multimodal reasoning and real-time decision support across sectors. While these systems offer significant technological and economic benefits, their environmental implications are not fully examined. Large-scale GenAI models rely on high-performance computing infrastructure that consumes substantial energy and resources throughout their lifecycle, raising critical sustainability concerns. This paper offers a sustainability-oriented assessment of …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 12–20 Read article
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Methods Based on Machine Learning for Large-scale Classification of Crop Leaf Diseases
Abstract: Worldwide productivity of crops is seriously threatened by crop leaf diseases, which can result in large crop losses and negative economic effects. Effective disease management and crop protection depend on the early and precise detection and classification of these illnesses. Machine learning approaches have gained popularity recently due to their ability to automate procedures related to illness diagnosis and classification. An overview of the several machine learning–based methods used for …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 11–23 Read article
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Quantum-Inspired Neural Networks: Accelerating AI for Large-Scale Data Processing
Abstract: Recently, the world of artificial intelligence has been buzzing with exciting ideas inspired by quantum computing, especially when it comes to processing large amounts of data. Introducing the Quantum-Inspired Neural Network (QINN), a novel approach to conventional neural networks that blends concepts from quantum mechanics with machine learning techniques. Unlike typical networks that rely on neurons, QINNs utilize qubit-based representations, enabling them to perform computations in a more flexible and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 12–17 Read article
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Revolutionizing Agriculture: Botani Scan’s Deep Learning for Plant Disease Diagnosis
Abstract: Crop disease detection is of key importance because of its role in food safety but infrastructural issues still hamper diagnosis in most regions worldwide. Accurate plant disease identification is essential to secure food, predicting yield decline and managing epidemic outbursts. The advent of digital cameras along with the progress of computer vision technology brings to light the mounting demands for the development of automated disease detection methods in precision agriculture, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 Read article
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Transforming IoT Connectivity Through VLSI Technology
Abstract: Device communication has been completely transformed by the emergence of the Internet of Things (IoT), and very large-scale integration (VLSI) has been essential to this change. The development of small, energy-efficient devices that are essential to IoT applications is made possible by VLSI technology, which allows thousands to millions of transistors to be integrated on a single chip. By enabling higher processing capabilities and seamless connectivity, VLSI not only enhances …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 1–11 Read article
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DFT Compatible Low Power EDAC Based on Clock Gating
Abstract: The in-situ EDAC architecture is normally hired in timing-error tolerant circuits in a try and decrease the conservative timing protect band due to procedure, voltage, and temperature (PVT) fluctuations. But with the addition of the latch-based totally data channel, extra detection, and propagation common sense, it makes the implementation of the layout for- testability (DFT) tough. We present a new low area test overhead DFT EDAC architecture with extreme reduction …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 1, 2025 · pp. 41–53 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Sustainable Electricity Generation through Solar Power Technologies: A Review
Abstract: Fossil fuels are burned to create the bulk of the energy produced globally, which depletes fossil fuel reserves and releases carbon dioxide into the atmosphere. The continued volatility of fuel prices has sparked serious concerns about the sustainable use of fuel for future energy needs. Energy use can be made sustainable and clean by minimizing the use of renewable energy resources as opposed to the damaging gases generated during the …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 1, 2024 · pp. 28–36 Read article
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A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Dynamic deformation and microstructural characteristics of AA5083 under the influence of electrochemical behaviour using equal channel angular pressing
Abstract: Large-scale Equal channel angular pressing is a great engineering material that has more potential for AA5083 industrial applications. Uniaxial dynamic compressive tests across a temperature of 448 K were conducted for the ECAP technique AA5083 in order to create such a design framework. The microstructure was described using transmission electron microscopy and scanning electron microscope both before and after dynamic loading. The plastic flow behaviour of the AA5083 was described …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 95–112 Read article