Brain tumor detection has gained research interest due to complexity involved in and mortality ratio over the few decades. The present manuscript primarily addresses issues regarding benign brain detection. involves segmentation primary stage. Segmentation using existing techniques have some limitation like unable handle noisy data detect small intensity variation image. In this manuscript, a new fractional mask design for is proposed. Qualitative quantitative analysis been performed prove...

In the present study, Erosion wear of stainless steel 420 was predicted using an artificial neural network (ANN). Stainless is used for making slurry transportation components, such as pump impellers and casings. The erosion performance analyzed by a pot tester at rotational speed 600–1500 rpm with time duration 80–200 min. Fly ash erodent medium, solid concentration varied from 20 to 50%. particle size selected tests <53 µm, 53–106 106–150 150–250 µm. A standard (ANN) prediction designed...

Automation has made tremendous changes in the industries. It been used to automate manual processes involved different physical units of The purpose was increase production manufacturing. Now, Computers are being industries monitor functionalities with help artificial intelligence and internet things (IoT). IoT revolutionized is an interconnected network system units. core it gather share information among great impact on many areas such as business, industry, medicine, economy, transport,...

COVID-19 disease has emerged as one of the life threatening threat to society. A novel beta coronavirus causes it. It began unidentified pneumonia unknown etiology in Wuhan City, Hubei province China December 2019. No vaccine been produced till now. Mathematical models are used study impact different measures decrease pandemic. have designed estimate numbers spreaders scenarios present manuscript. In manuscript, three mathematical proposed with scenarios, such screening, quarantine, and...

COVID-19 disease has come up as a life-threatening outbreak at end of 2019. It impacted almost all countries in the world. The major source is novel beta coronavirus. had great impact on world throughout year 2020. Now, situation becoming normal due to invention vaccine. All started large vaccination drives. Mathematical models are used study different measures decrease pandemics. such susceptible–infected–removed model and susceptible–exposed–infected–removed predict spread diseases. But...

Image enhancement is one of the important task in image processing. It has valuable applications engineering, science, medical and many more research fields. Numerous methods can be found literature. Many them use partial differential equation(PDE). The PDE been used denoising enhancement. However, it that these techniques are unable to preserve fine details such as edges. In this paper, fractional order equation (FPDE) based model proposed. proposed reduces effect noise non-linearly...

Abstract COVID-19 disease has emerged as one of the life threatening threat to society. It is caused by a novel beta coronavirus. began unidentified pneumonia unknown etiology in Wuhan City, Hubei province China December 2019. No vaccine been produced till now. Mathematical models are used study impact different measures decrease pandemic. have designed estimate numbers spreaders scenarios present manuscript. In manuscript, three mathematical proposed with such screening, quarantine and NPIs...

Image captioning is implemented using Deep learning and NLP (Natural Language Processing) resulting in producing a description of an image. The proposed model generates caption for image Convolutional Neural Network (CNN) together with Recurrent (RNN) area attention. Previously, the names were used as keys to map images descriptions. In order achieve high performance, based on relationship between areas picture (attention model), words caption, state RNN language model. approach progressive...

COVID-19 is well known to everyone in the world. It has spread around No vaccine or antiviral treatment available till now. patients are increasing day by day. All countries have adopted social distancing as a preventive measure reduce spread. becomes necessary estimate number of peoples going be affected with advance so that arrangements can done. Mathematical models used provide early disease estimation based on limited parameters. In present manuscript, novel mathematical model parameter...

An image denoising plays an important role in wide variety of applications. It is one critical operation processing. Image without losing features very difficult and challenging task. Many the techniques have been proposed for denoising. But, most fail to preserve fine details image. In this work, a fractional anisotropic model being presented which not only removes noise but also present Qualitative quantitative analysis has performed. found that method superior de-noising.

Abstract Diseases are increasing with exponential rate worldwide. Its detection is challenging task due to unavailability of the experts. Machine learning models provide automated mechanism detect diseases once trained. It has been used predict and many such as cancer, heart attack, liver infections, kidney infections. The new coronavirus become one deadliest diseases. case escalated in unexpected ways. In literature, machine Extreme Gradient Boosting (XGBoosting), Support Vector (SVM),...

Handwritten signature has a key role in personnel authentication today. Institutions such as banks are using the handwritten signatures to control false transactions. Due an increase access by people institutions banks, insurance companies etc., volume of increasing day and need be verified real time. Hence, there is always demand for reliable fast verification system. Researchers have contributed several techniques ideas verification. However, it been investigated that models inefficient...

Image reconstruction with less projection data is one of the most challenging tasks in medical imaging. In present manuscript, a novel image model using Deep Convolutional Neural Network (CNN) being presented where whole view not available. The has been used to restore missing information. This obtained by passing X-rays different angles rotation around object make an image. excess X-ray radiation human body can produce cancerous tissues. Hence, work, fewer reconstruct images without...

Sensor nodes work cooperatively to achieve a common objective in WSNs. These sensors are powered by battery cells. How enhance the lifetime of sensor is still an area research and several researchers attempted nodes. The mechanism duty cycle provides way mitigate unnecessary power consumption networks. This paper presents comprehensive survey dynamic schemes framework that smart for proposed assigns cycles based on their network traffic rate.

Deepfake videos, which are artificial intelligence-altered videos that have acquired extensive awareness recently. Deep learning algorithms utilized to create these deepfake films, meant disseminate false information about anyone, including politicians and celebrities. These movies been purposefully made viral in order propagate propaganda information, frighten people, destabilize society. It is exceedingly challenging for a casual viewer recognize deep fake video with the naked eye. Finding...

Abstract Wireless Body Area Networks (WBANs) hold immense potential in healthcare monitoring, but ensuring reliable data transmission is crucial. While the IEEE 802.15.4 standard offers low-power operation and basic security, its Contention-Based Access (CBA) mechanism can lead to packet collisions reduced reliability, especially congested scenarios. This paper proposes a novel approach enhance reliability WBANs by incorporating Greedy Spider Monkey Optimization Algorithm (GSMA). The GSMA...