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955 articles for “Generative AI”
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Performance Analysis of Solar Steam Generation System: A Review
Abstract: A solar powered air heating system using parabolic trough collector was experimentally investigated. This paper describes construction and testing of a parabolic dish solar steam generator. By using sun heat with the help of parabolic collector concentrated on black absorber which is located at focus point of reflector; which heated water at high temperature considering different specifications and find out variation of temperature with different time, maximum temperature and temperature …
Published in Journal of Thermal Engineering and Applications · Vol. 2, Issue 2, 2015 · pp. 9–15 Read article
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Experimental Analysis of a Novel Parabolic Trough Receiver for Direct Steam Generation
Abstract: Abstract In this paper, experimental study of a parabolic trough collector and novel receiver with concentric tubes (C-PTR) for direct steam generation is presented. The performance of the C-PTR system is extensively studied by varying the parameters such as the direct normal irradiance, the mass flow rate, the type of circulation and the amount of phase change material (PCM). The maximum thermal efficiency achieved using C-PTR is averaged about 58% …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 3, Issue 1, 2016 · pp. 35–40 Read article
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An FPGA-based Controller Design for Servo Actuator Using Xilinx System Generator and HDL Cosimulator
Abstract: This paper aims at designing a Field programmable gate array (FPGA)-based proportional, integral derivative (PID) controller in a servo-actuated control system. In the conventional method of implementing control systems in FPGA, there is no interaction between the controller and the system except for the final stage of implementing control system in the hardware. The proposed methods provide approaches for analyzing the performance of the controller and system in MATLAB simulink …
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 1–6 Read article
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Magenn Air Rotor System: Power Production
Abstract: The Magenn Air Rotor System (MARS) is the next generation of wind turbines with cost and performance advantages over existing systems. Helium sustains the Magenn Air Rotor System, which ascends to an altitude as selected by the operator for the best winds. MARS is a lighter than-air tethered wind turbine that rotates which is connected to a generator, in response to wind, generating electrical energy. This electrical energy is transmitted …
Published in Trends in Electrical Engineering · Vol. 11, Issue 2, 2021 · pp. 30–34 Read article
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Propagation of Thrust Due to Movement of Vehicle on Road
Abstract: The rapid growth of high-speed transportation systems has necessitated a detailed assessment of the structural effects induced by moving heavy vehicles. This study investigates the lateral thrust generated by high-speed vehicular movement and its implications for the design and safety evaluation of transportation infrastructure. A representative vehicle with dimensions of 18 m length, 5 m height, and 4 m width was considered for the analysis. The impact load generated by …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 30–37 Read article
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Implications from Iridium—Compose in Versatility
Abstract: Iridium (Ir) is a platinum group of metals suggested to be used in electronic component manufacturing to substitute gold for catalysts, alloy elements and increasing problems. Ir is a high melting metal to avoid corrosion, so rendering is called green as stipulated. Iridium artificial photosynthesis and electron generation capabilities have suggestive problems in supplementing the respective food value after chlorophyll composition and enhancing electricity from supplemented electricity through wind tunnels. …
Published in Journal of Catalyst & Catalysis · Vol. 7, Issue 3, 2020 · pp. 1–7 Read article
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Autonomous 6G Physical Layer Architectures for Space-Air-Ground Integrated Networks
Abstract: The emergence of sixth generation (6G) wireless systems calls for a significant shift away from conventional deterministic communication models. As communication infrastructures evolve into Space- Air-Ground Integrated Networks (SAGIN), traditional physical layer (PHY) techniques struggle to operate effectively under the severe Doppler effects and long propagation delays associated with space environments. This paper examines the role of artificial intelligence embedded directly within the 6G transceiver architecture to enable ultra-reliable and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 · pp. 21–31 Read article
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Biomimicry of Eucalyptus Leaf Design for Optimization and Fabrication of Airfoil
Abstract: Biomimicry is the practice of drawing inspiration from natural forms to solve engineering problems, which has become progressively popular for refining design efficiency and performance. This work discovers how biomimicry can be applied to airfoil design, precisely through the unique structure of Eucalyptus leaves, a concept rarely explored in airfoil profiling. The work presented here, focuses on enhancing airfoil designs by incorporating the intricate features of these leaves. The airfoil …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 359–372 Read article
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The Integration of Artificial Intelligence in Ophthalmology: Augmenting Clinical Decision or Clinical Dependency?
Abstract: The diagnostic accuracy of artificial intelligence (AI) algorithms for glaucoma and diabetic retinopathy screening is on par with or higher than that of skilled doctors. Their acceptance has accelerated due to regulatory clearances, practical implementation in telehealth networks, and growing proof of cost-effectiveness. However, this very success raises a question that the field has been reluctant to address: are we unintentionally undermining the clinical reasoning abilities of the upcoming generation …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 31–34 Read article
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AI-Based Threat Detection in Cloud Platforms
Abstract: This research work delves into the transformative role AI has come to assume for enhanced threat detection in the cloud ecosystem. The conventional security frameworks, which form the basis for many architectures, are several steps behind actualizing the rapidly evolving cyber threat landscape, exposing critical weaknesses in the areas of accuracy, adaptability, and speed of response. Initially, the study sets forth the problems with the old-school approaches to threat detection …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 01–10 Read article
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Modification in Heat Sink Design to Improve its Heat Dissipation Capacity for Current CPU Design
Abstract: AbstractElectronic equipment plays an important role in day-to-day life. Almost every object or equipment or machine uses electronic components to complete its task. For electronic component to work it needs electric current to flow through the circuits. And hence they become main reason of excessive heating. Continued shrinking of electronic systems has resulted in a histrionic increase in the amount of heat generated per unit volume. Air cooling with the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 8, Issue 3, 2018 · pp. 1–7 Read article
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Parsing of Sensory Perception in Oscillatory Networks Through Cross Frequency Coupling of Memory Synchronization: Revelation of Enhanced Learning by Autistic Brain
Abstract: The brain faces many complex problems when dealing with multidimensional signals, which is usually experienced as unitary precepts. We used neuronal spike patterns to determine synchronization dynamics of neuronal activity for computer-generated color patterns in aid of synchronization of neuronal activity for memory formation in autistic subjects. In particular, this gives functional organization of neuronal circuits and interesting relationships between these oscillations and interneuronal coupling that suggest an enhanced mechanism …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 4, Issue 2, 2014 · pp. 9–14 Read article
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Looking Forward to the Promising Anti-filarial Plant Resources and Futuristic Drug Discovery Approaches
Abstract: In tropical and subtropical nations, lymphatic filariasis (LF) is considered a significant public health issue. Adult worms may survive in an infected person for many years, generating microfilariae (mf) and aiding disease transmission via vector mosquitoes. Elephantiasis, river blindness, and tropical pulmonary eosinophilia are among the illnesses caused by filarial worms. The medication of choice for treating filariasis has a slew of negative side effects. Current filariasis control methods aren't …
Published in Research & Reviews : Journal of Botany · Vol. 10, Issue 3, 2021 · pp. 9–23 Read article
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Advancements in Machine Learning: A Comprehensive Review of Algorithms, Applications, and Future Directions
Abstract: Gaining knowledge of Machine learning (ML)-guided format algorithms leverage predictive models to generate novel devices with optimized properties across several domains, which include drug discovery, fabric synthesis, and biomolecular engineering. Selecting an effective format set of policies consists of identifying appropriate hyperparameters, predictive models, and generative mechanisms to maximize format fulfilment. This study introduces an established method for set of policies requirements, ensuring that generated designs meet predefined fulfilment criteria, …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 17–33 Read article
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Automated Math Solver Assist with LLM RAG
Abstract: The challenges of solving complex mathematical problems often hinder efficiency in various scientific and engineering domains. This project proposes an innovative solution to these challenges by integrating automated math solvers with large language model (LLM) retrieval-augmented generation (RAG). The proposed system aims to streamline mathematical problem-solving processes, offering a robust and precise tool for real-time recognition, classification, and solution generation. This work provides a novel method of automating the solution …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 25–30 Read article
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Pneumatic Operated Engine
Abstract: The increasing awareness of fossil fuel depletion & environmental pollution has accelerated the need for the development of sustainable & eco-friendly alternatives to traditional internal combustion engines. Pneumatically operated engines have been identified as a potential alternative for small-scale mechanical power generation owing to their advantages of zero exhaust emissions, noise reduction & operational safety. This paper describes the design, development & performance analysis of a pneumatically operated engine, which …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Advancing Gene Therapy: Next-Generation Viral Vector Engineering for Precision, Safety, and Scalability
Abstract: Gene therapy has emerged as a paradigm-shifting modality for the treatment of genetic disorders, malignancies, and rare diseases through the delivery of therapeutic nucleic acids aimed at correcting or modulating dysfunctional gene expression. Among the various delivery systems, viral vectors including adeno-associated viruses (AAVs), lentiviruses, adenoviruses, retroviruses, and herpes simplex viruses have proven indispensable owing to their high transduction efficiencies and adaptability. This review offers a comprehensive assessment of viral …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 37–55 Read article
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Sustainable Energy Solutions: Biodiesel, Biofuels, and Algae in Combating Climate Change
Abstract: With the increasing concern about environmental pollution and climate change, there has been a growing focus on finding sustainable and eco-friendly alternatives to traditional fossil fuels.Biodiesel and biofuels have emerged as promising renewable energy sources, offering significant benefits in terms of pollution reduction and greenhouse gas emission mitigation. This article explores the role of biodiesels and biofuels in preventing and treating pollution, emphasizing their properties, stability, and degradation patterns. Additionally, …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 29–32 Read article
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Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G
Abstract: With rapid technological advancement, sophisticated techniques are significantly enhancing the performance of wireless networks. In parallel, the growth of artificial intelligence (AI) has empowered systems to perform intelligent decision-making, automate processes, analyze data, generate insights, and predict future outcomes. AI systems are now capable of learning and adapting to dynamic environments. Particularly, machine learning and deep learning techniques have achieved remarkable success across a wide range of applications in recent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 29–36 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article