In modern era where software development is of vital importance, software developers are challenged with conditions like Repetitive Strain Injury (RSI) which hinders their ability to work effectively. Furthermore, peo...
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Automated cognitive assessment tools are state-of-the-art in assessing cognition development. Due to the low availability of resources, building automated cognitive ability evaluation tools is challenging. This study ...
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The retinal nerve fiber layer (RNFL) is the white scratch part in the fundus image. It could be an indicator of several diseases characterized by depletion of RNFL. This study intends to construct an RNFL method using...
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In this paper, an age of information (AoI)-aware joint design framework of sampling, transmission, computation, and control is considered for industrial cyber-physical systems. To enhance the control performance, we i...
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Despite software startups often not handlingsensitive data, the implementation of robust security measures is crucial to mitigate significant financial and reputational risks. This study investigates the cost-benefit ...
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ISBN:
(数字)9798350378511
ISBN:
(纸本)9798350378528
Despite software startups often not handlingsensitive data, the implementation of robust security measures is crucial to mitigate significant financial and reputational risks. This study investigates the cost-benefit analysis of implementing best practices in penetration testing (Pentest) versus notimplementing them, using Roboost as a case study. It emphasizes that proactive security investments not only protect current assets but also prepare organizations for future growthThe research employs a mixed-methods approach, combining quantitative analysis of financial data with qualitative insights from stakeholder interviews. The findings indicate that while the initial costs of hiring penetration testers and implementing security protocols are substantial, the benefits far outweigh these expenses. Securing new clients and retaining existing ones, which constitute a significant portion of Roboost’ s revenue, underscores the financial prudence of these investments. Our analysis demonstrates that the costs of not implementing security practices, such as potential losses from security breaches, are substantially higher than the investments in proactive measures. This underscores the critical importance of embedding security best practices within organizational frameworks to ensure long-term sustainability and success.
The great majority of manual processes have been automated in the current day. Nonetheless, there is no reliable approach for evaluating UML diagrams for plagiarism and correctness. Unified Modeling Language (UML) pro...
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This article aims to detect Mars craters for the geological research and planetary research. The main method is to use deep learning method to identify craters on Mars using Mars TIR images. YOLOv5 is chosen as the ba...
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Remote sensing or satellite imagery classification is essential in many applications including urban development and planning environmental monitoring and land management. Among others this through research investigat...
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ISBN:
(数字)9798331509828
ISBN:
(纸本)9798331509835
Remote sensing or satellite imagery classification is essential in many applications including urban development and planning environmental monitoring and land management. Among others this through research investigates the use of three popular deep learning models DenseNet169, Xception and VGG19 for land use scene classification. A comprehensive experimental setting has been built to carry out such comparison through data pre-processing training the model and performance evaluation. The UC Merced Dataset was enhanced fourfold in high-resolution aerial images across different scenes of land use, thereby enriching model training. Extensive performance evaluation based on diverse evaluation metrics such as accuracy, precision, recall, f1-score and inference time and the size of models followed the fine-tuning of each model. Among the models discussed the feature capture structure for DenseNet169 was the greatest and attained an accuracy of 92.86% Xception dealt with scale variation and rotation with ease with a passable accuracy of 90.19% and in any case VGG19 finds a good balance between simplicity and accuracy hitting 90.00%.
Advanced technology such as microrobots and nanorobots have the potential to completely transform the healthcare industry. These tiny robotic devices provide fine control for a range of biological applications since t...
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ISBN:
(数字)9798350369748
ISBN:
(纸本)9798350369755
Advanced technology such as microrobots and nanorobots have the potential to completely transform the healthcare industry. These tiny robotic devices provide fine control for a range of biological applications since they operate at the micro and nanoscales. This review explores the various healthcare uses, fabrication ideas, and design concepts of microrobots and nanorobots. It specifically looks at their works in tissue engineering, minimally invasive surgery, and targeted drug administration. Aiming to harness the transformative impact of these emerging technologies in healthcare, research and practitioners can recive significant insights from the discussion of challenges and future directions in the sector. Design-wise, microrobots and nanorobots display a range of configurations suited to particular uses, such as payload delivery systems, sensing capabilities, and propulsion mechanisms.
A single-modal infrared or visible image offers limited representation in scenes with lighting degradation or extreme weather. We propose a multi-modal fusion framework, named SDSFusion, for all-day and all-weather in...
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