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796 articles for “Model efficiency”
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Revolutionizing Plant Disease Detection: A Comprehensive Review
Abstract: Rise in population demands more food production but the diseases in plants contribute to loss. The advancement in agricultural field has a remarkable effect in detecting plant diseases. These diseases will have a major impact on the quality of plant and yield and hence can destroy the entire plant if they are not controlled on time. To reduce disease-related losses, it is necessary to identify different types of diseases and …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 44–55 Read article
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Improving Energy Management Systems with SARIMA-Based Forecasting of Household Energy Consumption
Abstract: Household energy consumption is a dynamic and multifaceted domain influenced by various factors, including seasonality, weather conditions, and individual consumption habits. For homeowners looking to control expenses, lessen their impact on the environment, and contribute to a sustainable future, accurate forecasting is essential. Precise forecasting is also essential for utility firms to maximize energy production, distribution, and demand control. In a time when resource efficiency and environmental awareness are paramount, …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 1, 2024 Read article
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Automated Microstructure Classification with Class-Specific Segmentation for Titanium Based Composite Materials
Abstract: In engineering, characterisation of microstructure is required to determine and forecast behaviour of titanium alloys. Our proposal in this work has been a deep-learning-based framework in the automatic classification and segmentation of Titanium Based Composite Material. The framework then uses EfficientNetB0 backbone, where we have chosen the backbone to scale the performance of classification and the computational efficiency with the assistance of the transfer learning and the compound scaling. In …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 424–433 Read article
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A Review of Electrification Trends in Agricultural Tractors: New Developments, Difficulties, and Opportunities
Abstract: A farmer is constantly searching for methods to make farming easier and use less money or labor. The main factor contributing to the high cost of farming is the use of tractors. Tractors are more expensive due to their high fuel consumption. But technology has intervened and provided an answer. The electrical engineering world’s idea to switch from fuel to DC batteries has made electric tractors more accessible and reliable …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 17–23 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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The AI Revolution: Transforming Business Decision-Making
Abstract: Industries undergo a transformation thanks to artificial intelligence, which makes machines capable of activities that previously required human intelligence. This interdisciplinary field of computer science models human thought processes, impacting sectors from autonomous vehicles to creative AI tools. Integrating AI into business operations transforms decision-making and enhances corporate performance. AI-driven methodologies analyze vast datasets to provide valuable insights and facilitate decisions beyond human capability. Predictive modeling anticipates consumer behavior, market …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 25–32 Read article
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Smart Framework for Personal Fuel Expense Tracking and Carbon Emission Assessment
Abstract: This study presents a smart system that is intended to assist individuals and administrators in tracking their fuel costs and keeping an eye on their daily carbon emissions. It makes it simpler to make decisions by examining fuel consumption and its effects on the environment. The technology gathers real-time emissions data from vehicles equipped with Internet of Things devices. It can predict future trends of emissions by utilizing AI-based predictive …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 36–44 Read article
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From Rural to Urban: Understanding Taobao Villages to Redress Planetary Urbanisation
Abstract: This study examines Taobao Villages as an innovative model of urbanisation under China’s planetary urbanisation framework. These rural communities, driven by the rise of e-commerce and digital infrastructure, have successfully integrated into the broader urban ecosystem by reconfiguring their historical socio-spatial legacies. Through Lefebvre’s spatial triad framework, the research identifies three key historical legacies that underpin this transformation: (1) Collective Production Practices: Rooted in socialist collectivisation, these legacies include organisational …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety
Abstract: The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence. As the nuclear industry undergoes a paradigm shift toward decommissioning legacy facilities and establishing deep geological repositories, the limitations of traditional, manually-intensive waste management processes have become increasingly apparent. Rigid separation from the biosphere is required for radioactive waste, which is defined by …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Corrugated Tube Shell-and-Tube Heat Exchanger Using Epoxy-Based Polymer Composite Coatings for Lightweight and Efficient Thermal Systems
Abstract: Corrugated tube geometries are widely recognized for their ability to enhance heat transfer through boundary layer disruption and secondary flow generation. In this study, a combined experimental and computational investigation is carried out to evaluate the thermo-hydraulic performance of a shell-and-tube heat exchanger incorporating corrugated stainless steel tubes integrated with an epoxy-based polymer composite coating and housed within a mild steel shell. Unlike conventional metallic systems, the present work introduces …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 603–617 Read article
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Solar Light Photocatalytic Degradation of Methylene Blue and Methyl Orange Dyes by Ag-ZnO Nanocomposite
Abstract: A highly efficient silver-assisted ZnO nanocomposite was synthesized using the co-precipitation method, a technique that ensures a controlled and homogeneous formation of the composite material. The high purity of the synthesized nanocomposite was confirmed through detailed FTIR spectra analysis, which showed clear and distinct peaks corresponding to the functional groups present, indicating the absence of significant impurities. To evaluate the photocatalytic capabilities of the nanocomposite, a series of tests were …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 160–171 Read article
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Designing and Analysis of Different Types of Fins in Air Cooled Engine
Abstract: This paper is dedicated to the study of various shapes of extended surfaces, commonly known as fins, which are used on cylinder heads of internal combustion engines. Extended surfaces are used to improve heat dissipation from the object by increasing its effective surface area. Efficient heat dissipation is very important since proper cooling of an engine cylinder head helps to maintain optimal working temperatures, improves engine performance, increases service life, …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 33–79 Read article
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Improving Polymer Composite Properties Through Reinforcement Learning Guided Prototyping A Novel Approach for Material Engineering
Abstract: Innovative approaches integrating reinforcement learning (RL) and machine learning (ML) into the fields of polymer composite prototyping and soft actuator manufacturing for applications. This new an algorithm utilizing RL optimizes polymer composite fabrication parameters to enhance material properties efficiently. By iteratively adjusting parameters based on predefined objectives, the RL agent guides the prototyping process, promising to revolutionize polymer composite engineering. A finest control method for locked loop control of Shape …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 208–218 Read article
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Nanotechnology-Enhanced Battery Management System for Passive Cell Balancing in Lithium-Ion Polymer Batteries for Electric Vehicles
Abstract: The automotive industry is swiftly moving towards eco-friendly innovations, with electric vehicles (EVs) taking center stage in this transformation. A crucial component of these vehicles is the battery, particularly lithium-ion polymer batteries, which exhibit superior performance compared to other battery types. However, these batteries are sensitive to both overvoltage and undervoltage conditions, posing potential safety risks. Additionally, imbalances between individual cells can degrade battery performance and reduce its service life. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 27–34 Read article
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Development of Sodium Alginate Beads of Telmisartan Using Emulsion Gelation Method: Formulation and In-Vitro Characterization
Abstract: Introduction: The antihypertensive medication Telmisartan (TEL) is a member of BCS class II, which is distinguished by limited oral rate and extent and water solubility. By localizing the medication release in the stomach, gastro-retentive floating bead devices may be able to address the issues related to partial absorption and the low solubility of TEL. The preparation of TEL floating alginate beads was the aim of this investigation. The current work …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 3, 2024 · pp. 13–21 Read article
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A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture
Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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Optimizing Green Fodder Availability: Strategic Roadmaps for Sustainable Dairy Development in the Tropics
Abstract: The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming.The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming. Green fodder serves as a vital source of nutrition for dairy cows, directly influencing milk yield, animal health, and overall farm profitability. However, challenges such as limited …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 11–30 Read article
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Design and Research of Thermoelectric Energy Harvesting Methods for Instantaneous Use
Abstract: In today’s consumer-oriented market, researchers are attempting to harness energy from ambient sources for sustainable energy generation leading to reduction of dependency on conventional energy sources. Energy harvesting methods offers enormous opportunities to derive energy from our natural surroundings to directly operate self-powered devices or storing it for later use. Generating energy from our nearby environment seems to be a promising solution to address the growing concerns of powering small …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article