Light-matter interactions play essential roles in realizing a new generation of nanoscale imaging to overcome traditional trade-offs between spatial resolution and time capabilities. By harnessing engineered nanophoto...
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The advancement of electric vehicles and green energy technologies necessitates on-board chargers (OBCs) with higher power density and reduced costs. Integrated planar magnetics emerge as a highly competitive option d...
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This paper presents the model of the balance technique for common mode noise suppression. Considering the resonance due to the self-parasitic capacitance of the inductor in the balance network, coupling between the in...
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This paper presents several repair schemes for lowrate Reed Solomon (RS) codes over prime fields that can repair any node by downloading a constant number of bits from each surviving node. The resulting total bandwidt...
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CRISPR-Cas9 is significantly potential and versatile gene-editing treatment for neurodegenerative disorders. The CRISPR-Cas9 system incorporates a single guide RNA (sgRNA) and Cas9 nuclease, which helps system to bind...
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The rapid expansion of social media has facilitated individuals' widespread distribution of information, frequently without sufficient verification or filtering mechanisms. This has exacerbated the problem of misi...
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Phase intensity nanoscope (PINE) is a new super-resolution method to further improve the resolution of existing techniques. PINE utilizes an integrated phase-intensity device to modulate phase differences between elec...
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The architecture and component technology of a low power,high capacity,short reach optical interconnect are *** from high-performance 300 mm silicon photonics components that comprise the system are shown,along with a...
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The architecture and component technology of a low power,high capacity,short reach optical interconnect are *** from high-performance 300 mm silicon photonics components that comprise the system are shown,along with a quantum-dot mode-locked laser 20-channel comb source with free space wall plug efficiencies up to 17%,advanced packaging techniques for 3D silicon photonic-electronic integration,and schematics for integrated electronics that control the photonic integrated *** for operating such a system in the presence of changing ambient temperature are *** on a 1 Tbps design are conducted with an optical link experiment indicating sub-picojoule/bit energy consumption at scale.
The diagnosis and prevention of lumpy skin disease, a viral ailment affecting cattle and buffalo, present significant financial implications for the livestock industry. Traditional methods for identifying lumpy skin d...
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The diagnosis and prevention of lumpy skin disease, a viral ailment affecting cattle and buffalo, present significant financial implications for the livestock industry. Traditional methods for identifying lumpy skin disease rely on manual visual inspection by veterinarians, which can be labor-intensive, subjective, and prone to errors. To address these challenges, this study proposes a novel deep convolutional neural network (DCNN) model for the automatic recognition and grading of lumpy skin disease from bovine images. The primary contributions of this research include the development of a DCNN architecture specifically tailored for this task, comprising five convolutional layers, five max pooling layers, two fully connected layers with ReLU activation, and a final fully connected layer with softmax activation. The model’s detection accuracy is further enhanced by applying image cropping and patching techniques, which divide each input image into 12 patches to improve local feature extraction. The proposed model was trained and tested using a publicly available dataset from Kaggle. Comparative analysis was conducted against several state-of-the-art models, including InceptionV3, ResNet50, MobileNetV3, VGG19, and Xception. The DCNN model demonstrated superior performance, achieving the highest validation accuracy of 0.96875, outperforming the compared models in terms of accuracy, precision, recall, and F1 score. Additionally, the study explores the potential of transitioning from binary to multiclass classification, which would allow for the assessment of the severity of lumpy skin disease. This future direction aims to provide more nuanced and actionable information for veterinary diagnostics. The significance of this research lies in its potential to offer an objective, efficient, and scalable solution for early disease detection and prevention in livestock, thereby presenting considerable economic benefits for farmers and the livestock industry as a whole. The me
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