Titlebook: Quantum Dots for Plant Systems; Abdul Majid,Humaira Arshad,Muhammad Azmat Ullah Kh Book 2022 The Editor(s) (if applicable) and The Author(

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QDs for Sensing of Microorganisms,Ds based methods have been used to detect bacteria of both types, i.e., gram negative and gram positive. . have been detected through magnetic QDs. QDs have also been also for detection of fungi and viruses. Although QDs based kits for the detection of human viruses are very common but only few have

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QDs, Plant Diseases and Potential Risks,lants by disrupting or damaging the DNA and changing its gene expression. These also interfere with the antioxidant activity, disturbing the normal plant growth and causing cytotoxicity to the plants. The effect of the CdS, CdTe, CdTe/SiO., ZnO and GQD has an adverse effect on the plants. The applic

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d for effective tools for damage evaluation. This study focuses on elastic guided waves. Their propagation was analyzed, and wave scattering was used for damage assessment. The samples under investigation are flat plates printed with poly(lactic acid) (PLA). A few plates were prepared with five infi

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Humaira Arshad,Abdul Majid,Muhammad Azmat Ullah Khanystems (IDS) frequently rely on centralized data gathering and processing, which raises privacy and scalability concerns. In this research, we present a privacy-preserving, explainable IDS using Federated Learning (FL) and deep learning techniques. Specifically, we integrate Artificial Neural Networ

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Humaira Arshad,Abdul Majid,Muhammad Azmat Ullah Khan one of the most widely used arithmetic systems in practice. One of the main challenges in constructing zero-knowledge argument/proof protocols for relations over a ring is how to ensure sufficient number of challenges to fulfill the necessary knowledge-soundness requirements. In this paper, we esta

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Muhammad Azmat Ullah Khan,Humaira Arshad,Abdul Majid models are vulnerable to various privacy attacks. As a typical application of data privacy protection technology differential privacy in deep learning models, the Differentially Private Stochastic Gradient Descent (DPSGD) algorithm has gradually become one of the main technologies for privacy secur

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Muhammad Azmat Ullah Khan,Humaira Arshad,Abdul Majidlnerabilities of wireless channels. This paper introduces a novel framework for constructing a generalized physical layer-based key generation scheme, addressing the need for secure communication across diverse wireless environments. The proposed framework encompasses phases for measurement integrat