Radiation
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Pattern Reconfigurable Yagi-Uda Antenna
Abstract: This study proposes a prototype of a reconfigurable Yagi-Uda Antenna that is capable of reconfiguration of the radiation pattern. The proposed flexible antenna will work as the director, and reflector can be switched in a Yagi-Uda set up antenna by using a radio frequency PIN diode. The radiating signals can be directed at desired signals away from undesirable signals that are impinging on the antenna in opposite directions. The antenna …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 14–20 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Neurodevelopmental Effects of Cell Tower Radiation in Children: A Longitudinal Study
Abstract: This study investigates the impact of radiation exposure from cell phone towers on the neurodevelopmental outcomes of children aged 0–5 years. A prospective cohort approach was employed to assess key developmental parameters, including Gross Motor Skills, Fine Motor Skills, and sleep disorders. Given the increasing presence of wireless communication infrastructure, understanding its potential effects on early childhood development is crucial for public health.To analyze the collected data, advanced machine learning …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Factors Influencing the Design of Parabolic Trough Collector: A Review
Abstract: Due to limited resource availability and high conventional energy usage, research into renewable energy has increased during the past few years. Utilizing collecting systems, significant renewable energy can be produced from the available solar radiation. The majority of solar energy harvesting systems use parabolic trough concentrating collectors. The performance of parabolic trough collectors as a whole is examined in this paper. The operating characteristics, such as the type of receiver …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article