Mahesh Akarapu

• PhD Student at Jawaharlal Nehru Technological University, Hyderabad

Machine learning is persistently utilized with a broad variety of functions suitable to its methodological get through in latest days. This was exhibited considerable accomplishment in production with a range of difficult troubles, and explains the abilities very near to mankind or still away from mankind. On the other hand, latest readings give yo...

In recent times, RFID technology based applications are increasing rapidly. RFID applications include manufacturing units, agriculture, various industries, vehicle tracking and many more fields. This is an automated with wireless technology. In this paper, the problem of attendance in several organizations with precise and perfect is explained. In...

Artificial intelligence & Deep Learning plays a vital role in this era. It is doing great progress in all aspects. “Automatic Image Captioning” is a Deep Learning mechanism; its primary aim is to generate the caption for an input Image by the machine. This mechanism initially identify the object in the image by using computer vision (CV) and genera...

Clients accumulate remarkable procedures of sensitive data on a cloud environment. Distributing insubstantial data would permit responsibilities to minimize the price of giving customers modified advantages and suggest several encouragement incorporated data examinations. Be present that because it might, protect data distribution is dangerous. Pro...

One of our significant examination regions is on noticeable light correspondence, otherwise called Li Fi. This type of OWC utilizes the light framework as remote passages. Li Fi frameworks depend on the standard of tweaking light transmitting diodes (LEDs) at extremely high paces with no unfavorable impacts on the natural eye and brightening levels...

Teaching Software engineering is very difficult because it includes theory and practical approach. Applying the theoretical knowledge is very complex. At the same time theory can't be understood without applying. In this paper, we present an innovative teaching practice on the course "Software Engineering Practical" by which students will have a pr...

The prevalence of Predicting Point of Interest (POI) has been extremely important to location-based applications, such as reviews on POIs. Many current approaches are rarely able to achieve adequate efficiency due to the shortage of POI knowledge. This tendentious restricts the advice to famous locations and lacks equally important qualities in unl...

The protection of the data maintained on a database system has the benefit that the cloud service creates a dynamic high-order and often a management issue comparable to the security operating costs. Multiple Online Compensation Monitoring Protocols have been developed to date that will pose a key problem to protect the privacy of cloud-based detai...

The significant goal behind this paper is to build up a robot to play out the display if observation in the private spaces. The clarification behind this robot is to room around and gives sound and video data from the given condition and to send that got data to the client. In this task, one can control the robot with the assistance of versatile th...

In this project, we propose a system architecture which uses an advice server to improve the performance of very large file transfers in high performance networks; the advice server predicts the behavior of changes in available bandwidth and responds to the data server accordingly. It is assumed that the network will exhibit a periodic fluctuation,...

Classical crystal plasticity is size-invariant. Yet, numerous experiments indicate that in small volumes, where motion of dislocations is restricted, the size effects are appreciable. The classical theory is also incapable of incorporating boundary conditions for slip, which is apparent from the weak form of governing equations. Yet, when interface...