To enhance the accuracy of protein–protein interaction function prediction, a 2-order graphic neighbor information feature extraction method based on undirected simple graph is proposed in this paper , which extends the 1-order graphic neighbor featureextraction method. And the chi-square test statistical method is also involved in feature combination. To demonstrate the effectiveness of our 2-...

The objective of the present study was to examine some physical and chemical shell kernel attributes promising walnut types selected from Bingol province in Turkey. possesses a rich population almost all which are seedling-grown. Shell cracking resistance, firmness, percentage, pellicle cotyledon color, total oil ratio, phenol content, antioxidant capacity as DPPH were analyzed evaluated. resis...

Support vector machine (SVM) is a kernel based novel pattern classification method that is significant in many areas like data mining and machine learning. A unique strength is the use of kernel function to map the data into a higher dimensional feature space. In training SVM, kernels and its parameters have very vital role for classification accuracy. Therefore, a suitable kernel design and it...

Hybrid composites are characterized by a variety of properties that are of interest to automotive applications, including strength, mechanical, and thermal properties. In this work, palm kernel shell-filled maleated polypropylene composites and palm kernel shell/nanosilica-filled maleated polypropylene hybrid composites were produced using a Brabender Internal Mixer. The results showed that the...

Quaternized palm kernel shell was successfully prepared by reacting with N-(3-chloro-2hydroxypropyl)trimethylammonium chloride in basic condition. Adsorption experiments of Reactive Red E (RRE) dye were carried out in single batch system studied at various initial concentration, contact time and pH at 25°C. It was found that at pH 4 quaternized palm kernel shell showed the highest dye removal p...

Improving grain quality of maize (Zea mays L.), including endospermhardness and density, is often a breeding objective.Dense seed is preferred by dry millers and for alkaline processing, and can command a price premium at market. This study attempted to increase kernel density in a backcrossing program for two inbreds of maize using two selection techniques, specific gravity of kernels and the ...

We present TNCR, a new table dataset with varying image quality collected from open access websites. TNCR can be used for detection in scanned document images and their classification into 5 different classes. contains 9428 labeled tables approximately 6621 images. In this paper, we have implemented state-of-the-art deep learning-based methods to create several strong baselines. Deformable DERT...

feel that the results we show, particularly in Figure 6, are on much more complex examples and that we have processed much larger number of buildings than reported in the previous literature ([5], [2], and [9]). We feel that our method has advantage over monocular systems such as ([5]) due to its ability to infer 3-D more directly and of having several views to validate the hypotheses. We feel ...

Data races are an important class of concurrency errors where two threads erroneously access a shared memory location without appropriate synchronization. This paper presents DataCollider, a lightweight and effective technique for dynamically detecting data races in kernel modules. Unlike existing data-race detection techniques, DataCollider is oblivious to the synchronization protocols (such a...