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493 articles for “Efficient Net”
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The Role of Automation in Modernizing Irrigation Practices and Smart Farming: A Comprehensive Review
Abstract: The development of a "Smart Farming Using Automation" system that functions in three modes—timer, soil moisture, and PH sensor—for the farmer's advantage is the focus of this study. An automated drip irrigation system with a PLC is described in this paper. Using sensors for soil moisture and pH. The soil moisture sensor's function is to calculate how much water is required for irrigation. A PLC uses the solenoid valve to …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 1, Issue 1, 2023 · pp. 36–42 Read article
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The Role of IoT and AI in Advancing Wastewater Treatment Plant Efficiency
Abstract: Wastewater treatment facilities, or WWTPs, are essential for protecting the environment and human health because they clean wastewater before it is released into natural water bodies. The operational effectiveness and efficiency of WWTPs have undergone a significant transformation as a result of the integration of smart technology for real-time monitoring and control. This review looks at new developments in smart technologies that are being used in WWTPs, including data analytics, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 1, 2024 · pp. 28–33 Read article
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Analysis of Project Management Optimization Using CPM and PERT in a Dynamic Business Environment
Abstract: In the current fast-changing business environment, organizations must remain agile and strategically responsive to unpredictable challenges such as supply chain disruptions, shifting consumer demands, and evolving market trends. Project management techniques like the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT) serve as valuable tools in helping businesses manage these complexities effectively. CPM is a time-focused method that identifies the longest sequence of dependent tasks in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 Read article
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Application of Artificial intelligence in Single Point Incremental Forming for Surface Roughness Prediction
Abstract: The sheet metal forming industries always try to find an emerging trend to form sheet-metal in a cost-effective manner. In this regard, a forming technique is trending termed as single point incremental forming (SPIF) in which a simple forming tool having hemispherical end rod is moving and simultaneously deforming the clamped metal sheet according to predetermined toolpath command and forms a complete shape. The achievement of required surface quality is …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 237–246 Read article
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Adoption Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints and the Way Forward
Abstract: The adoption of advanced reproductive technologies (ARTs) in subsistence dairy farming remains limited despite their potential to enhance genetic improvement, fertility rates, and overall productivity. This study explores the key constraints hindering the integration of ARTs, including artificial insemination, embryo transfer, and ovulation synchronization, within small-scale dairy production systems. Financial constraints, lack of awareness, inadequate veterinary support, and socio-cultural resistance are identified as primary barriers. Limited access to affordable credit, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 Read article
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Eco-Efficient Skies: Life Cycle Assessment and Carbon Footprint Minimization of Fiber-Reinforced Polymer Composites in Aerospace Application
Abstract: The increasing integration of fiber-reinforced polymer (FRP) composites in aerospace structures necessitates a rigorous evaluation of their environmental sustainability throughout their entire life cycle. This study presents a comprehensive life cycle assessment (LCA) and carbon footprint analysis of carbon fiber-reinforced polymer (CFRP) and glass fiber-reinforced polymer (GFRP) composites applied to structural and semi-structural components in commercial aerospace applications. Following ISO 14040/14044 standards and employing the ReCiPe 2016 Midpoint (H) impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 147–160 Read article
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Applications of AI: Does it Impact Emissions of Carbon?
Abstract: Several countries, including India, have vowed to achieve net-zero emissions by the middle of the century, in line with the Paris Agreement's goals. India, as one of the world's largest and fastest-growing economies and the third-largest carbon emitter, has set lofty goals in its climate change plan. By 2030, India intends to attain carbon peaking, which represents the top of its carbon emissions before beginning a slow drop. Furthermore, the …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 27–31 Read article
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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 Read article
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Design and Evaluation of Thermo-Responsive Poly(N-isopropylacrylamide)-Based Polymeric Nanoparticles for Temperature-Triggered Intratumoral Release of Doxorubicin in Solid Tumors
Abstract: Thermo-responsive polymeric systems have emerged as promising platforms for targeted intratumoral drug delivery in cancer therapy. This study aimed to develop and evaluate poly(N-isopropylacrylamide) (PNIPAM)-based polymeric nanoparticles as intelligent carriers for temperature-responsive delivery of doxorubicin (DOX) to solid tumors. Nanoparticles were synthesized via free radical polymerization using N-isopropylacrylamide as a thermoresponsive monomer and N,N′-methylenebisacrylamide as a crosslinker, forming a stable network with a tunable lower critical solution temperature (LCST).The optimized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 159–168 Read article
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Enhancing Analog Radio Broadcasting Using DDRB Algorithm
Abstract: With the rapid advancement of digital technology and the global transition toward modern radio broadcasting, Nepal has a significant opportunity to upgrade its radio broadcasting system. Digital radio services offer numerous benefits, including superior audio quality, broader coverage, interactive features, and enhanced capabilities. This thesis focuses on improving Nepal's analog radio broadcasting through the implementation of DDRB (Digital Radio Mondiale [DRM] Digital Radio Broadcasting) technology. The study begins by analyzing …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 3, 2024 · pp. 34–43 Read article
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Some Recent Developments in Media Technology
Abstract: The creation, distribution, and consumption of material have all changed as a result of the media technology's quick development. The influence of 5G on streaming and interactive media, virtual and augmented reality (VR/AR), blockchain for media rights management, and artificial intelligence (AI) in content creation are some of the current developments in media technology that are examined in this article. The rapid advancement of digital technology in recent years has …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 30–36 Read article
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CMOS-Based Process-Scalable Analog Circuits for Machine Learning: A Comprehensive Review and Future Directions.
Abstract: Analog computing techniques are gaining attention for machine learning (ML) applications due to their ability to reduce computational complexity. Continuous operations such as addition and subtraction offer a simpler and more efficient approach compared to probabilistic product decoding, which can be sensitive to noise and inconsistent measurements. This paper presents a simulated VLSI implementation of a broadcast edge connection, independent of the MOS component model, along with experimental results. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 8–17 Read article
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AI-Assisted Optimization of Supersonic Airfoil Shapes Using CFD Coupling
Abstract: This paper presents a novel framework for optimizing supersonic airfoil geometries through integrated artificial intelligence and computational fluid dynamics coupling. Traditional gradient-based optimization methods for high-speed aerodynamic shapes suffer from computational expense and convergence difficulties in non-convex design spaces. The proposed methodology employs a deep neural network surrogate model trained on high-fidelity Reynolds-Averaged Navier-Stokes solutions to approximate aerodynamic performance metrics across the design space. A hybrid particle swarm-genetic algorithm searches …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article
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Deep Learning Approach to Produce Artificial Speech (Text-To-Audio)
Abstract: This program utilizes key features of the .NET framework to facilitate smooth text-to-speech conversion and audio playback. Upon execution, users are prompted to input text via a graphical user interface (GUI), which the program converts into speech using the ‘SpeechSynthesizer’ class from the ‘System. Speech.Synthesis’ namespace. The audio that has been synthesized is handled and stored as a WAV file called ‘output.wav’ by utilizing the ‘FileStream’ class, allowing for future …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 28–33 Read article
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Emerging Trends in Data Structures for Modern Machine Learning Applications
Abstract: In the realm of machine learning, data structures play a pivotal role in facilitating efficient data manipulation, storage, and retrieval, thereby significantly impacting the performance and scalability of machine learning algorithms. In recent years, the field of machine learning has witnessed the emergence of novel data structures tailored to address scalability and efficiency challenges inherent in handling large-scale and high-dimensional data. This study provides a look at the data preprocessing, …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Intelligent Design Approaches in Microwave Engineering Using Machine Learning Techniques
Abstract: In microwave engineering, machine learning (ML) has become a potent technology allowing quicker design cycles, improved modelling accuracy, and automatic optimisation of complicated systems. Recent developments in the use of ML methods to microwave components and systems, including antennas, filters, and high-frequency circuits, are summarised in this study. In the framework of electromagnetic simulation, surrogate modelling, and parameter extraction, supervised and unsupervised learning algorithms are addressed. Moreover, the study looked …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 2, 2025 · pp. 31–38 Read article
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AI, Robotics, and the Future of Waste Management: A Systematic Review of Advanced Collection and Sorting Systems
Abstract: The rapid growth of cities and rise in population have made waste management a major concern that calls for innovative and efficient solutions. Conventional waste collecting techniques are dangerous, time-consuming, and frequently ineffective. The development of automated waste management systems powered by cutting-edge technology like robotics, deep learning, artificial intelligence (AI), and the Internet of Things (IoT) is examined in this study. Vision-based systems, convolutional neural networks (CNN) for garbage …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Significant Advances in Cloud Computing in Information and Communications Technology
Abstract: The critical advances in information and communications technology (ICT) over the last half-century have led to the increasingly common vision that computing will one day become the 5th utility. This computing utility will provide the essential level of computing service considered basic to meet the everyday needs of the general public. To convey this vision, a number of computing models have been proposed, with the most recent being cloud computing. …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 33–38 Read article
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Smart Iron Box with Automatic Cloth Detection and Heat Adjustment
Abstract: Ironing continues to be a lengthy and sometimes monotonous activity in domestic chores; especially among those with busy schedules who need to ensure efficiency and minimize risks of harming delicate fabrics. This document discusses the design and development of an intelligent ironing machine that performs ironing tasks using embedded computing and multi-sensor fabric identification. Unlike traditional irons that depend entirely on the manually chosen temperatures and user discretion, the developed …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Use of Artificial Intelligence to Access and Ensure Safe Drinking Water Supply: A Review
Abstract: Ensuring access to safe drinking water is a critical public health challenge. Traditional water quality assessment methods are often labor-intensive and time-consuming. Artificial intelligence offers a promising alternative, providing rapid, accurate, and scalable solutions for monitoring and predicting water quality. This systematic review examines the application of AI. The review highlights various AI models, including artificial neural networks, support vector machines, decision trees, and ensemble methods, in predicting water quality …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 21–28 Read article