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1435 articles for “productivity improvement”
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A Taxonomy of Machine Learning Techniques
Abstract: Learning is any process by which a system improves performance from experience. Training a model simply means learning (i.e., determining) good values for all the weights and therefore the bias from labeled examples. Machine learning (ML) is a sub-field of artificial intelligence that creates machines which exhibits learning capability and improve their performance from experience without being explicitly programmed. ML focuses on the creation of computer programs that can access …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 18–25 Read article
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A Comprehensive Analysis of Coating Technology and Thin Films
Abstract: In contemporary materials science, thin film and coating technologies are essential because they allow for the improvement of surface characteristics, including electrical conductivity, hardness, corrosion resistance, and optical performance. These technologies use physical, chemical, or hybrid deposition techniques to deposit materials in layers that range in thickness from a few nanometres to several micrometres, depending on the required functional properties and application areas. The content, thickness, and microstructure of films …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 50–64 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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Evaluation of Compressive Strength of Concrete Using Fly Ash, Silica Fume, and Steel Slag as Cementitious and Aggregate Replacements
Abstract: This study comprehensively investigates the influence of supplementary cementitious materials and industrial by-products—specifically fly ash, silica fume, and steel slag—on the compressive strength of concrete. The primary objective is to evaluate the impact of both individual and combined replacements of cement and aggregate components on concrete performance. The research analyzes how varying proportions of these materials affect the strength characteristics of the concrete mixtures. Experimental results demonstrate that increasing the …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 1–6 Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article
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PVT Analysis: Validity Checks and EOS Turning Techniques for Retrograde Condensate Reservoirs
Abstract: PVT analysis is pertinent to field-wide development and optimization. This is because we need to know the over-all behavior of the fluid from reservoir through production and process facilities, down to the refinery. Its emergence as a separate discipline has been supported by the development of modern computer software that utilize EOS models for simulating experiments and representing fluid phase behaviours. PVT simulations are carried out to determine operating conditions …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 44–53 Read article
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Container transportation in marine terminals and marine transportation infrastructure on the increase in export market share
Abstract: In order to achieve important policy goals like increasing global competitiveness, diversifying import sources, opening up new markets, and forging strategic partnerships, maritime transportation is essential. It also has a significant impact on reducing the economic vulnerability of nations that rely on the sale of gas and oil by carefully choosing its clients and growing the export of petroleum products, petrochemicals, and gas. This study develops a two-objective mathematical planning …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 36–42 Read article
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Design And Optimization Of High-Speed Array Multiplier
Abstract: An array multiplier is a digital circuit used for the rapid multiplication of binary numbers. It employs an array of logic gates to generate partial products concurrently, significantly enhancing speed. The array structure divides the multiplication task into smaller, parallel processes, allowing for efficient parallel processing of multiple bits. Each cell within the array manages specific bit-level multiplications, and their results are summed to produce the final product. This parallel …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 3, 2024 Read article
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Performance Investigation on Fault Analysis in Power Transformer using Modified Fuzzy Controller
Abstract: This article presents the fault analysis and differential protection scheme of the three phase Power Transformers (PT). The proposed and designed relay operates mainly during the internal fault condition and it must be insensitive to any fault outside the zone of protection. In this paper, a designed and modified fuzzy logic controller based differential protection schemes have been used to product the system. The external and internal fault condition is …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 2, 2022 · pp. 32–43 Read article
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IoT-enhanced Real-time Monitoring and Hazard Detection
Abstract: This research explores the innovative application of internet of things (IoT) technology within occupational health and safety management systems (OHSMS) to substantially improve real-time monitoring and hazard detection in industrial settings. IoT sensors and wearable devices are deployed to enable continuous and thorough collection of data on environmental conditions, equipment status, and worker health. Real-time data analysis facilitated by IoT technology allows for the rapid identification and mitigation of potential …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 20–24 Read article
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Novel Strategic Framework between Polymer Manufacturers and Waste Management Companies: A Mixed-Method Approach for Enhancing Circular Efficiency in Polymer Industries
Abstract: The study describes the perspectives of the industry stakeholders and qualitatively and quantitatively assesses the recycling efficiency, cost optimization, and environmental performance using a mixed-method approach. The framework features processes, as it were: onboard invention, coupling, and sustainable valorization of the intersection, thus solidly connecting the production side with the waste management. The primary function of the patterns of interaction between the plant waste-management system, the retrieval of polymer composites, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1570–1609 Read article
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Modeling and Simulation of a Grid-Connected Solar-Wind Hybrid Renewable Energy System with Controlled Inverter
Abstract: Solar and wind energy offer eco-friendly and renewable options to conventional energy sources, holding great promise for the future. This research delves into the modeling and simulation of a grid-connected solar-wind hybrid renewable energy system employing a controlled inverter. The study examines the individual photovoltaic (PV) and wind energy conversion systems and investigates their seamless integration to create a powerful hybrid generation system. To maximize energy use, the application of …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 22–32 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Generation of Business Intelligence by Sentimental Analysis through Big Data and Hadoop
Abstract: AbstractOnline networking gives clients a platform to discuss successfully with companions, family, and partners, and gives them a stage to discuss their top pick (and minimum most loved brands). This "unstructured" discussion can provide organizations crucial understanding into how buyers see their image, and enable them to effectively settle on business choices to keep up their horizons. Fast in the volume of conclusion, rich online networking on the web has …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 20–25 Read article
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The Mechanism of Soil Salinity and Plant Response: An Update Review
Abstract: AbstractSalinity, the abiotic stress of soil is one of the major concerns for agriculture and sustainable development. It affects large terrestrial areas including arable land. That’s why agricultural productivity is reducing day by day. The main remedy lies within the development of salt tolerant crops. In this respect, coordinated and tissue-specific processes like osmotic tolerance, K+ accumulation in cytoplasm, Cl− tolerance, Na+ exclusion, tissue tolerance etc. throughout the life cycle …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 2, Issue 1, 2013 · pp. 20–28 Read article
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Advanced Functional Polymers and Their Synergistic Role in Smart Composite Materials for Sustainable Industrial Applications
Abstract: Advanced functional polymers have revolutionized composite materials, offering enhanced properties such as self-healing, electrical conductivity, environmental adaptability, and high mechanical strength. These innovations are reshaping industries by enabling smarter, more efficient, and sustainable solutions. Functional polymers play a pivotal role in producing high-performance composite materials to meet the growing demands of sustainable industrial applications. Significant improvements in material properties mechanical strength, durability, thermal stability, and recyclability are achieved through the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 12–27 Read article
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Chemiluminescence: Recent Developments and Photochemical Applications in Analytical Chemistry
Abstract: Chemiluminescence (CL) is the observable production of electromagnetic radiation from a chemical reaction, typically in the form of ultraviolet, visible, or infrared light. According to subjective yield, CL has either been directly emitted from electronically excited intermediate products, or it has been supported by another molecule to emit CL. Since the 1950s, CL has been supported as a valid analytical tool, with the descriptive issued scope being limited to content …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 1, 2024 · pp. 20–25 Read article
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A High-Efficiency Fuzzy-Logic-Controlled Wireless Charger Enabling the Safe Integration of Electronics in Carbon Fiber Reinforced Polymer E-Bikes
Abstract: The integration of advanced electronics into structures made from carbon fiber reinforced polymers (CFRP) presents significant challenges, including thermal management constraints, electromagnetic interference (EMI), and the imperative for lightweight components. This study addresses these challenges by designing and validating a fuzzy logic-based wireless charging system specifically engineered for lightweight E-Bikes employing CFRP frames. The system mitigates thermal risks associated with the low thermal conductivity of polymer composites by implementing a …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1159–1172 Read article
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Review on Multicore Processors
Abstract: AbstractMulti-core processors based product servers recently progress toward becoming building obstructs for superior computing Linux bunches. The multi-core processors convey better execution to cost proportions in respect to their single-core predecessors through on-chip multi-threading. In any case, they exhibit challenges in growing superior multi-strung code. In this paper, we concentrate on the execution of various programming hindrance calculations on Intel Xeon and AMD Opteron multi-center processor based servers. Particularly, we …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 1, 2017 · pp. 30–41 Read article