Currently, the different deep neural network (DNN) learning approaches have done much for classification of hyperspectral images (HSIs), especially most them use convolutional (CNN). HSI data characteristics multidimensionality, correlation, nonlinearity, and a large amount data. Therefore, it is particularly important to extract deeper features in HSIs by reducing dimensionalities which help improve both spectral spatial domains. In this article, we present spatial–spectral algorithm, local...

Medical information systems have been increasingly facilitating and improving the quality of health monitoring, disease-trend modelling early intervention with evidence-based medical treatment by data mining feature extraction. Such are part enterprise system healthcare organisations. We proposed a new algorithm fb-kNN towards recommendation algorithms based on analysis patterns diseases in human body, which was then implemented Healthcare 4.0 for diagnosis treatment. Our developed tool is...

With the widespread use of color images, copyright protection those images using watermarks is one latest research topics. The as has advantages over binary and irreplaceable grayscale images. Color are intuitive, rich, lively; they have large amounts information more easily recognized by human vision. To improve security watermark embedding positions algorithm's robustness against various attacks, a Quaternion Fourier transform (QFT) based algorithm, on Arnold chaotic encryption, proposed...

Immunization averts an expected 2 to 3 million deaths every year from diphtheria, tetanus, pertussis (whooping cough), and measles; however, additional 1.5 could be avoided if vaccination coverage was improved worldwide. 11 Data source for immunization records of M: http://www.who.int/mediacentre/factsheets/fs378/en/ New technologies provide earlier diagnoses, personalized treatments a wide range other benefits both patients health care professionals. Childhood diseases that were commonplace...

With the increasing demand for multidimensional data processing, Geometric algebra (GA) has attracted more and attention in field of geographical information systems. GA unifies generalizes real numbers complex, quaternion, vector algebra, converts complicated relations operations into intuitive independent coordinate It also provides a solution solving processing with high correlation among dimensions avoids loss information. Traditional methods computer vision artificial intelligence (AI)...

Studying the progress and trend of novel coronavirus pneumonia (COVID-19) transmission mode will help effectively curb its spread. Some commonly used infectious disease prediction models are introduced. The hybrid model is proposed, which overcomes disadvantages logistic model’s inability to predict number confirmed diagnoses drawbacks too many tuning parameters SEIR (Susceptible, Exposed, Infectious, Recovered) model. realization superiority proposed proven through experiments. At same...

With the increase of online businesses, recommendation algorithms are being researched a lot to facilitate process using existing information. Such multi-criteria (MCRS) helps end-users attain required results interest having different selective criteria – such as combinations implicit and explicit indicators in form ranking or rankings on matched dimensions. Current approaches typically use label correlation, by assuming that correlations shared all objects. In real-world tasks, however,...

In the continuous development of computer network technology, multimedia technology and information digitization has become main means displaying information, thus facilitating storage, copying dissemination digital information. this context, there are no restrictions on arbitrary editing, copying, modification, images, music, etc., which leads to various social problems such as security, copyright disputes, piracy. With advancement networks multimedia, watermarking received worldwide...

Healthcare diseases are spreading all around the globe day to day. Hospital datasets full from data with much information. It's an urgent requirement use that perfectly and efficiently. We propose a novel algorithm for predictive model eye using KNN machine learning algorithms artificial intelligence (AI). The aims evaluate connection between accumulated preoperative risk variables different manufacture can anticipate results on individual level, thus giving relevance impactful factors...

With the advancement of networks and multimedia, digital watermarking technology has received worldwide attention as an effective method copyright protection. Improving anti-geometric attack ability algorithms using image feature-based have extensive attention. This paper proposes a novel robust algorithm based on SURF-DCT perceptual hashing (Speeded Up Robust Features Discrete Cosine Transform), namely blind watermarking. We design implement meaningful binary watermark embedding extraction...

Objectives: To study the prevalence of potato dry rot in different vegetables markets. evaluate effect Fusarium oxysporum on potato. efficacy antagonistic agents and fungicides against mycelia growth F. oxysporum. Methods/Statistical Analysis: Survey was done from vegetable markets Pakistan. Potatoes showing symptoms were collected brought to Plant Pathology laboratory. Findings: Antagonistic organisms cause highly significant inhibition which higher than 60%. Lowest found because an...

To protect the ownership of digital content, robustness watermarking algorithm is most important metric to assess its affectiveness. However few state-of-the-art algorithms can resist combinations conventional attacks such as jpeg compression and geometric transformation. In this paper, an improved robust image thus proposed address issue. The watermark information embedded in low frequency domain wavelet transform by a quantization modulation method. When using detection, use matching...

Objectives: To estimate the heritability in a broad sense and genetic advance F2 generation of bread wheat. Methods/Statistical Analysis: The collected data were statistically analyzed for analysis variance by Gomez Gomez, was worked out after Falconer. Findings: results showed that genotypes parents, percent x crosses highly significant at 0.01 level days to 75% heading, 90% maturity, plant height (cm), tiller plant1 , spike length spikelet spike-1, grain yield plant-1 (g), Biological...

A field trial was conducted to assess the effect of Nitrogen (N) levels and application scheduling on growth grain yield maize. The results revealed that traits maize were influenced significantly (P<0.01) due different schedule. Crop fertilized with highest level 180 kg per ha resulted from 185.07 cm plant height, 11.94 leaves plant, 473.92 leaf area 1.73 cobs 347.91 grains cob, 15650.33 biomass 3030.28 ha. crop receiving at rate 120 gave 177.67 10.91 464.44 1.60 237.04 14241.80 2762.30...

At present, most watermarking algorithms use linear correlation method to detect watermarks. However, when the original media signal does not obey Gaussian distribution, or watermark is embedded into object be protected, this has certain problems. The imperceptibility constraint of digital determines that detection a weak problem. Using feature, firstly, based on statistical characteristics DCT (discrete cosine transform) and DWT wavelet transform), generalized distribution used establish...

Detection and localization of vertebra body plays a significant role in the diagnosis many spine disorders such as c-spine trauma their treatment including cervical surgeries. This requires great effort when one is dealing with poor contrast noisy set images like radiographs. paper aims to describe technique localize detect centroids c-spine. The presented takes radiograph enhance input image. Then edges enhanced image are detected. Next, modified generalized Hough Transform (GHT) applied on...

Beginning with supplementation, weaning continues until the child is totally off breast milk. Indian babies are entirely breastfed till six months, and their growth usually good. Breast milk alone cannot support after months. provide enough calories nutrients for growing newborns as it diminishes. Fruit juice supplementation necessary since lacks vitamin C. Since a child’s liver stores iron only 4-6 iron-rich foods should be offered Vitamin D absent from Starting additional meals around...

The application of digital medical images occupies an important position in the diagnostic process with promotion computer technology field. resulting copyright and tampering issues have also attracted increasing attention. Digital watermarking can provide powerful technical support for protection tamper detection images. Aiming at problems small embedding capacity weak resistance to geometric attacks image algorithms, a algorithm based on accelerated robust feature (SURF), redundant...

This paper presents three-phase unbalanced radial distribution system modeling and simulation. The of is a big challenge because its high R/X ratio complexity calculations. systems are unsymmetrical line segment data or due to single phase, two phase three loads. Therefore, the becomes cumbersome. Our designed model has been developed in MATLAB/Simulink. Load flow analysis for done using Simulink powergui tool which uses Newton Raphson method. results show an efficient, fast reliable system.