The proposed system uses image recognition that in turn the concept of thermal image. quality images dark surroundings is improved using images. infrared radiations are identified based on information has been created. These can be captured with help cameras and recorded various temperatures. During this process, environment which helps improve process matching. registration done tools. fed as ...

The death rate has increased in recent years due to the rising prevalence of encephaloma tumors across all age brackets. Because their complex structure and background noise, are difficult detect medical imaging require a great deal time effort on part professionals. This is crucial since locating tumor early key successful treatment. Scans can even forecast presence cancer at variety stages. A...

In this paper, we study the existence of triple positive solutions for second-order four-point boundary value problem with sign changing nonlinearities. We first study the associated Green’s function and obtain some useful properties. Our main tool is the fixed point theorem due to Avery and Peterson. The results of this paper are new and extent previously known results. 2000 Mathematics Subjec...

The variety of priority queueing systems with random switchover times is suggested in this paper. Such systems represent generalized models for a wide class of phenomena which involve queueing and prioritization and are considered in QoS and CoS network problems. The classification of such systems is given and methods of their analysis are discussed. Specialists in QoS and CoS technologies may ...

Over the past decade, deep convolutional neural networks have been widely adopted for medical image segmentation and shown to achieve adequate performance. However, due inherent inductive biases present in architectures, they lack understanding of long-range dependencies image. Recently proposed transformer-based architectures that leverage self-attention mechanism encode learn representations ...

Data sets ordinarily includes a huge number of attributes, with irrelevant and redundant attributes. Redundant and irrelevant attributes might minimize the classication accuracy because of the huge search space. The main goal of attribute reduction is choose a subset of relevant attributes from a huge number of available attributes to obtain comparable or even better classication accuracy than ...