Breast cancer poses a significant global threat, highlighting the urgent need for early detection to reduce mortality rates. Researchers are working to minimize the occurrence of false positives and false negatives, t...
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The self-cascade(SC) method is an effective technique for chaos enhancement and complexity increasing in chaos ***, the controllable self-cascade(CSC) method allows for more accurate control of Lyapunov exponents of t...
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The self-cascade(SC) method is an effective technique for chaos enhancement and complexity increasing in chaos ***, the controllable self-cascade(CSC) method allows for more accurate control of Lyapunov exponents of the discrete map. In this work, the SC and CSC systems of the original map are derived, which enhance the chaotic performance while preserving the fundamental dynamical characteristics of the original map. Higher Lyapunov exponent of chaotic sequences corresponding to higher frequency are obtained in SC and CSC systems. Meanwhile, the Lyapunov exponent could be linearly controlled with greater flexibility in the CSC system. The verification of the numerical simulation and theoretical analysis is carried out based on the platform of CH32.
The photochemical and photophysical properties of near-infrared(NIR)dyes are significantly influenced by their aggregation state and mesoscopic ***,beyond chemical synthesis,the regulation mechanisms for the propertie...
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The photochemical and photophysical properties of near-infrared(NIR)dyes are significantly influenced by their aggregation state and mesoscopic ***,beyond chemical synthesis,the regulation mechanisms for the properties of NIR dyes,particularly with respect to photothermal properties of the aggregates,are not yet fully ***,we investigate the photothermal behaviors of croconaine-based(CroA)NIR dyes containing dipeptide or amino acids *** introduction of hydrogen bonding promotesπ-πstacking of croconaine center,which can efficiently regulate aggregation states and assembly structures in *** laser irradiation,CroA aggregates undergo aggregation-dissociation transition,the in-situ monomer generation process regulates two parameters of photothermal performance:heating rates and plateau photothermal *** study reveals the regulation effect of non-covalent bonding interactions on CroA aggregates,highlighting supramolecular assembly strategy not only facilitates to construct of photothermal nanomaterials with well-defined structures,but also provides an alternative and effective method for regulating photothermal performance of NIR dyes.
Cultural heritage interpretation holds a critical role in enriching the comprehension and admiration of historical sites in small towns by visitors. Nevertheless, the lack of adequate human resources in remote areas m...
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Fundoscopic diagnosis involves assessing the proper functioning of the eye’s nerves,blood vessels,retinal health,and the impact of diabetes on the optic *** disorders are a major global health concern,affecting milli...
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Fundoscopic diagnosis involves assessing the proper functioning of the eye’s nerves,blood vessels,retinal health,and the impact of diabetes on the optic *** disorders are a major global health concern,affecting millions of people worldwide due to their widespread *** photography generates machine-based eye images that assist in diagnosing and treating ocular diseases such as diabetic *** a result,accurate fundus detection is essential for early diagnosis and effective treatment,helping to prevent severe complications and improve patient *** address this need,this article introduces a Derivative Model for Fundus Detection using Deep NeuralNetworks(DMFD-DNN)to enhance diagnostic *** selects key features for fundus detection using the least derivative,which identifies features correlating with stored fundus *** filtering relies on the minimum derivative,determined by extracting both similar and varying *** this research,the DNN model was integrated with the derivative *** images were segmented,features were extracted,and the DNN was iteratively trained to identify fundus regions *** goal was to improve the precision of fundoscopic diagnosis by training the DNN incrementally,taking into account the least possible derivative across iterations,and using outputs from previous *** hidden layer of the neural network operates on the most significant derivative,which may reduce precision across *** derivatives are treated as inaccurate,and the model is subsequently trained using selective features and their corresponding *** proposed model outperforms previous techniques in detecting fundus regions,achieving 94.98%accuracy and 91.57%sensitivity,with a minimal error rate of 5.43%.It significantly reduces feature extraction time to 1.462 s and minimizes computational overhead,thereby improving operational efficiency and ***,the propo
In the last decade, due to the widespread and inexpensive availability of digital video cameras, digital videos (DV) are employed for security purposes daily, and they are generally regarded as a more credible form of...
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In the last decade, due to the widespread and inexpensive availability of digital video cameras, digital videos (DV) are employed for security purposes daily, and they are generally regarded as a more credible form of evidence than still photographs. Due to the tremendous growth of video editing tools, anyone with access to advanced editing software and a modern Smartphone can easily do digital video manipulations and fake it. As a result, to utilize video content as proof in court, it is necessary to evaluate and determine whether it is original or modified. To check the integrity and validity of video recordings, digital forgery detection techniques are required. The objective of the study is to present a systematic review of techniques for detecting forgery in digital videos. We conducted a systematic literature review (SLR) in this study to present a detailed review of the initial and recent research efforts in Digital video forgery detection, summarizing 260 relevant papers from 2000 to 2023 that have presented a variety of techniques. For analysis, we have presented our references in three different ways: according to the type of forgery detected, according to the type of model or technique used and according to the feature used for forgery detection. We look through the several datasets that are cited in articles and determine their applicable domain. Then, we looked at the numerous measuring metrics employed by different research papers and compared the effectiveness of deep and non-deep models in each category of forgery that was found. Finally, research gaps concerning passive video forgery detection are classified and highlighted. A comparison between our survey and other existing survey articles has been presented in the paper. Researchers who wish to work on video forgery detection will get assistance to determine what kind of efforts in forgery detection work is still required. This survey will also help to select techniques and features based on their
In today's recommendation systems, people's ratings of products are important criteria for analysis. For instance, a recommendation system based on content analysis may be utilized. However, this can lead to a...
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In recent years, the Internet of Things (IoT) has rapidly become indispensable in our day-to-day activities. It has emerged as a leading technology around the world. The impact of IoT communication technology on our d...
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The online social platforms witnessed enormous growth in its networked structure as users continue to connect and interact through e-social dialogues. This eventually causes the transformational emergence of online so...
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An enormous amount of applications that are available for download permits users to enhance the functionality of the devices with brand-new features, which is a significant factor in the growing popularity of smartpho...
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