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Although the advancement of technology has made data processing quite easier, it is still an enormous task, especially if the volume is large and can affect the learning capability of the classifier. Instance Reduction techniques can be employed ...

• A novel approach for instance reduction by hybridization with optimization algorithms to reduce storage requirements.
• Combination of Elitist and Min-Max Ant Systems is adopted.
• New hyperparameters are introduced to enhance the ...

Vehicle counting and traffic volume estimation using videos are difficult tasks crucial for efficient traffic control in smart cities. Several existing techniques rely in tracking and detecting mechanisms of the vehicles. These methods are ...

The expeditious development of the technologies result in immeasurable growth in Integrated Circuit chips. The on-chip communication description plays a major role in connection and management of the functional blocks of the system on chip. The ...

Agriculture is a fundamental component of India's socio-economic structure. The inability of farmers to detect the most appropriate crop for the soil through conventional and non-scientific practices is a severe problem in a nation where 58% of the ...

Internet of Things (IoT) is the recent digital trend that connects the physical and virtual world. The strong bonding between the people, objects, machines and the web are assisting to develop new business models and also ensuring a better ...

Breast cancer is one of the most frequent cancers in women, and it has a higher mortality rate than other cancers. As a result, early detection is critical. In computer-assisted disease diagnosis, accurate segmentation of the region of interest is ...

In modern days the detection of defects in textile industries using digital image processing techniques is an emerging area of research. The faulty fabric is subjected to several image processing techniques such as preprocessing, feature ...

Over the past decade, automatic speech emotion detection has been a great challenge in the human–computer interaction area. Generally, individuals express their feelings explicitly or implicitly through words, facial expressions, gestures, or ...

The airborne disease is a severe disease in the world that spreads exponentially. An Immunochromatography Test(IT) and Biological Aerosol Particles (BAP) test with a disposable instrument that will be recorded in the literature is a standard ...

The most vital challenge for a radiologist is locating the brain tumors in the earlier stage. As the brain tumor grows rapidly, doubling its actual size in about twenty-five days. If not dealt properly, the affected person’s survival rate usually ...

Content-based image retrieval has become popular in the retrieval of images from large image database using reduced human intervention. Researchers are still in need to develop effective systems for dealing many of the wide-scope scientific and ...

The adaptive filter constitutes an important part of statistical signal processing. Adaptive filters are often realized either as a set of program instructions running on an arithmetical processing device such as a Microprocessor or Digital ...

Cancelable biometric system is a transformation technique for securing biometric templates. This work proposes application of bi-level template securing technique at feature-level, and generates revocable templates. The bi-level transformation includes ...

Optimal feature Selection is an imperative area of research in medical data mining systems. Feature selection is an important factor that boosts-up the classification accuracy. In this paper we have proposed a adaptive feature selector based on game ...

Interpolation of the CFA images is used to produce full color images by using Demosaicking Process. Denoising is a technique which is used to remove the noise from a noisy image. The noise will be introduced during acquisition, Transmission and ...

Breast cancer became the most dangerous disease that affect the most of the women and which has the less survival rate. Segmentation is the crucial step in analysis of mammogram images. Based on the segmented image further classification is done. Here ...

At the highest level of description, this book is about dimensionality reduction for data mining. It focuses on dimensional reduction on Small, Medium and very large Scale data. This book is not intended as an introduction to Feature selection, although ...