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493 articles for “Efficient Net”
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article
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Cloud Computing and Its Application in Different Sectors
Abstract: Cloud computing refers to the development and application of internet-based processing technology. Cloud computing, as a new business model, significantly impacts the information technology (IT) industry, and its integration into various business applications highlights its value at a deeper level. The purpose of this study is cloud computing. Its use is to control processes. With the rapid development of cloud computing, organizations can achieve greater efficiency in delivering IT services, …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 1–14 Read article
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Exploration of Copper Oxide PVA/PEG Paraffin Polymer Composites for Enhanced Thermal Performance of Nano-Enhanced Phase Change Materials and Their Environmental Impact
Abstract: This study investigates the synthesis, characterization, and application of copper oxide (CuO) nanoparticles integrated into polymer-based paraffin wax composites for advanced thermal management applications. CuO nanoparticles were synthesized using a wet chemical approach and characterized through X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and dynamic light scattering (DLS), confirming their crystalline structure, morphology, and nanoscale size distribution. The synthesized nanoparticles were incorporated into polymer-supported phase change …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 156–173 Read article
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Effect of Cell Carrier Loading on Phenol Degradation in Association with Production of Exopolymeric Substances and Biofilm Characteristics during Start up and Steady State in a Pulsed Plate Bioreactor
Abstract: Biodegradation of phenol in a continuous pulsed plate bioreactor (PPBR) using immobilized bacterial cells has been shown to be a highly efficient process. The present paper reports the studies on the effect physical characteristics of biofilm (biofilm thickness, attached dry biomass and biofilm dry density) and chemical characteristics in terms of exopolymers viz. protein, carbohydrate and humic substance produced by Pseudomonas desmolyticum (NCIM 2112) bacterial cells immobilized on granular activated …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 · pp. 24–30 Read article
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Comprehensive Study of Least Squares Estimation in Fast Fading MIMO-OFDM Systems
Abstract: MIMO-OFDM technology is now the foundation for modern wireless communication systems, allowing dramatic improvements in spectral efficiency, power efficiency, and transmission rate. On the other hand, the least accurate channel estimation is still a critical task, especially when they are in fast-fading environments. This study gives a comprehensive survey of LSE-based approaches and their applications on different fast-fading channel models for MIMO-OFDM systems. Techniques like Pilot Assisted Channel Estimation (PACE), …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 13–21 Read article
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Self-Healing Polymer Composites for Pharmaceutical Packaging Applications
Abstract: Pharmaceutical packaging plays a crucial role in ensuring the safety, stability, and effectiveness of pharmaceutical products. Conventional polymer-based packaging materials are prone to mechanical damage, microcracks, and environmental degradation, which can compromise drug integrity. Self-healing polymer composites (SHPCs) offer a promising solution by enabling autonomous or stimuli-responsive repair mechanisms that restore packaging integrity, enhance durability, and extend product shelf life. These materials function through intrinsic mechanisms, such as dynamic covalent …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 648–658 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Intelligent Power Quality Enhancement Strategies for PV-Integrated Smart Distribution Networks: A State-of-the-Art Review
Abstract: The rapid integration of photovoltaic (PV) systems into modern power distribution networks has introduced significant challenges related to power quality. Issues such as voltage fluctuations, harmonic distortion, flicker, and reactive power imbalance arise due to the intermittent and nonlinear nature of solar energy generation. This paper presents a concise literature review of various power quality enhancement techniques employed in PV-integrated networks. Key approaches include the use of active power filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 30–53 Read article
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Analysis of a Communication Link Performance Across Various Rayleigh Channels in Tropical Climates
Abstract: Tropical regions are characterized by intense and persistent rainfall throughout most of the year, and this environmental condition significantly influences wireless communication performance. The continuous presence of heavy precipitation weakens, scatters, and disrupts radio frequency signals, causing noticeable attenuation during transmission from the source to the destination. As a result, reliable communication becomes challenging, particularly for modern high-speed systems such as 5G networks. To address this limitation and enhance communication …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 06–12 Read article
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New-Age E-voucher Utility: Redefining Peer-to-Peer Transactions in the Digital Economy
Abstract: This system introduces an innovative new-age e-voucher utility designed to facilitate peer-to-peer (P2P) intake through a person-pleasant cell platform. This revolutionary answer empowers people to create and list e-vouchers for numerous services, experiences, or bodily goods, circumventing conventional channels and fostering an extra direct financial machine. Operating on a decentralized architecture, the utility guarantees stable transactions through fee gateways and contains a recognition machine to set up acceptance as true …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 36–46 Read article
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Advanced Composite Materials for Electric Vehicle Charging Stations: A Comprehensive Study
Abstract: EV chargers are thought to be a major determinant in the adoption of EVs in present transport systems. The performance and durability of these charging stations highly depend on the materials applied in the construction of these charging stations because these materials should be very reliable, durable and efficient. The current paper reviews the current literature on advanced composite materials relevant in the construction of the EV charge station. Recognitions …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 401–415 Read article
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Enhancing Trust in Education Through Blockchain- Based Credential Authentication
Abstract: Academic credentials such as degree certificates, transcripts, and course completion records are fundamental for validating an individual’s educational achievements. However, conventional credential management systems largely rely on centralized databases and physical documentation, making them vulnerable to forgery, unauthorized modification, data loss, and inefficient verification processes. These limitations reduce trust among educational institutions, employers, and learners, while also increasing administrative overhead. This study proposes a blockchain-based credential authentication framework designed to …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 1–7 Read article
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Comprehensive Analysis of Modern IoT Security Challenges and Solutions
Abstract: The Internet of Things (IoT) is rapidly transforming various industries by enhancing the human quality of life (QoL) through its wide-ranging applications. From healthcare to automotive, agriculture, education, and numerous other sectors, IoT has become essential for enabling smarter, more efficient systems. However, with its heterogeneous nature, IoT introduces a multitude of security challenges, as different IoT applications often function under varying frameworks and protocols. Consequently, addressing and studying IoT …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 34–39 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Path Planning using DDPG Algorithm and Univector Field Method for Intelligent Mobile Robot
Abstract: Path planning is one of the most fundamental challenging tasks in robotics and its purpose is to lead the robot from the initial position to the goal without any collision through the optimal route. With the rapid development of artificial intelligence technology, AI has been widely studied for robot path planning and a method by deep reinforcement learning (DRL) was proposed. In general, path planning methods with DRL need discrete …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Harnessing Sustainable Technologies: Advancing Renewable Energy for Climate Change Mitigation
Abstract: Climate change poses a significant threat to global ecosystems, economies, and human livelihoods, necessitating urgent action to transition toward sustainable technologies. Renewable energy systems have emerged as a cornerstone of this effort, offering clean, efficient, and scalable alternatives to fossil fuels. This paper explores the critical role of sustainable technologies in mitigating climate change, focusing on advancements in solar, wind, hydroelectric, and biomass energy systems. Key innovations, such as high-efficiency …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 11–18 Read article
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A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article
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Internet of Things in Smart Grid: Applications, challenges, Conditions, Architecture- A Review
Abstract: Future-generation intelligent optimisation in electrical system design is essential for managing electrical networks and distribution systems. It also requires interoperability variations in the implementation of physical or graphical models. The Internet of Things (IoT) plays a significant role in smart grids and distributed electricity systems. IoT enables the monitoring of the smart grid's electrical energy and facilitates the integration of real-time data into electrical grid architecture at various levels. Industrial …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Blockchain Technology: Challenges and Opportunities
Abstract: Blockchain is a revolutionary digital, distributed network technology which has the power to replace third party trusted with mathematical concept and algorithms. It is considered as a change in every aspect in the life of humans. It is basically the peer-to-peer connection within a decentralized database. Blockchain provides us with the features of security, privacy, accessibility as well as immutability. Blockchains are mostly used for registering transactions, authenticating and validating …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 21–30 Read article
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Comparative Analysis of Sustainable Materials in Road Construction: A Review
Abstract: The immediate need for sustainable infrastructure has driven research into new materials in road construction with the goal of reducing environmental degradation and enhancing resource efficiency. This review is a comparative analysis of four innovative technologies involving industrial and natural waste products: recycled aggregates from construction and demolition (C&D) waste, feldspar powder from lithium mining, stabilized dam sediments using eucalyptus ash, and calcium carbide residue (CCR) blended with dredged sludge. …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 93–98 Read article