Lysine succinylation is a typical protein post-translational modification and plays crucial role of regulation in the cellular process. Identifying sites fundamental to explore its functions. Although many computational methods were developed deal with this challenge, few considered semantic relationship between residues. We combined long short-term memory (LSTM) convolutional neural network (CNN) into deep learning method for predicting site. The proposed obtained Matthews correlation...

For localisation of unknown non-cooperative targets in space, the existence interference points causes inaccuracy pose estimation while utilizing point cloud registration. To address this issue, paper proposes a new iterative closest (ICP) algorithm combined with distributed weights to intensify dependability and robustness target localisation. As space have not yet been extensively studied, we classify them into two broad categories, far near points. former, statistical outlier elimination...

N4-methylcytosine (4mC) is an important epigenetic mechanism, which regulates many cellular processes such as cell differentiation and gene expression. The knowledge about the 4mC sites a key foundation to exploring its roles. Due limitation of techniques, precise detection still challenging task. In this paper, we presented multi-scale convolution neural network (CNN) adaptive embedding-based computational method for predicting in mouse genome, was referred MultiScale-CNN-4mCPred....

Enhancers are short DNA segments that play a key role in biological processes, such as accelerating transcription of target genes. Since the enhancer resides anywhere genome sequence, it is difficult to precisely identify enhancers. We presented bi-directional long-short term memory (Bi-LSTM) and attention-based deep learning method (Enhancer-LSTMAtt) for recognition. Enhancer-LSTMAtt an end-to-end model consists mainly residual neural network, Bi-LSTM, feed-forward attention. extensively...

<abstract> <p>The DNA N6-methyladenine (6mA) is an epigenetic modification, which plays a pivotal role in biological processes encompassing gene expression, replication, repair, and recombination. Therefore, the precise identification of 6mA sites fundamental for better understanding its function, but challenging. We proposed improved ensemble-based method predicting cross-species genomes called SoftVoting6mA. The SoftVoting6mA selected four (electron–ion-interaction pseudo...

Falls often pose significant safety risks to solitary individuals, especially the elderly. Implementing a fast and efficient fall detection system is an effective strategy address this hidden danger. We propose multimodal method based on audio video. On basis of using non-intrusive equipment, it reduces certain extent false negative situation that most commonly used video-based methods may face due insufficient lighting conditions, exceeding monitoring range, etc. Therefore, in foreseeable...

Knowledge about protein-protein interactions is beneficial in understanding cellular mechanisms. Protein-protein are usually determined according to their interaction sites. Due the limitations of current techniques, it still a challenging task detect In this article, we presented method based on deep learning and XGBoost (called DeepPPISP-XGB) for predicting The model served as feature extractor remove redundant information from protein sequences. Extreme Gradient Boosting algorithm was...

This paper is concerned with the precise calibration algorithm and error compensation technique for a binocular vision measurement system. By invoking fixed constraint relationship between cameras, these two cameras can be preferably bound together as one camera, which means that in each iteration only camera needs external parameter tuning optimized encapsulation, time reduced. The global optimal solutions are obtained by substituting initial iterative into equations of spatial points....

In this paper, we investigate the effect of anisotropic and correlated non-identical distributions feature points' gray level on pose estimation in stereo vision system. The generalized orthogonal iteration (GOI) algorithm for with uncertainty-weighted measuring error target is proposed. method, inverse covariance matrix applied to describe uncertainty points, weighted contribution objective function analysed. By transforming into covariance-weighted data space, a novel based spatial...

High accuracy of locating the sphere center imaging points is crucial for vision measurement system. This paper investigates effect projection projective model on extraction center, upon which sub-pixel edge-location algorithm based proposed. The established by analysing process imaging, and consisted novel edge improved Zernike moment computing studied. Erf (error function) adopted modelling practical part, obtains distribution with high precision. Then a closed-form solution error...

This paper is concerned with the anisotropic and non-identical gray distribution of feature points clinging to curved surface, upon which a high precision uncertainty-resistance algorithm for pose estimation proposed. Weighted contribution uncertainty objective function measuring error analyzed. Then novel based on spatial collinear constructed by transforming into covariance-weighted matrix, suitable practical applications. Further, optimized generalized orthogonal iterative (GOI) utilized...

To address the eccentric error of circular marks in camera calibration, a circle location method based on invariance collinear points and pole–polar constraint is proposed this paper. Firstly, centers ellipses are extracted, real concentric center projection equation established by exploiting cross ratio points. Subsequently, since infinite lines passing through parallel, other coordinates expressed as solution problem linear equations. The deviation caused using ellipse addressed, results...

With the advent of era big data, numbers and dimensions data are increasingly becoming larger. It is very critical to reduce or visualize then uncover hidden patterns characteristics mechanism underlying data. Stochastic Neighbor Embedding (SNE) has been developed for visualization over last ten years. Due its efficiency in SNE applied a wide range fields. We briefly reviewed algorithm variants, summarizing application it visualizing single-cell sequencing single nucleotide polymorphisms,...

This paper proposes a strategy based on cooperative target to realize automatic guided vehicle (AGV) terminal detection and position measurement. Firstly, the enhanced YOLOv3 algorithm cross layer connection is employed detect interest area of marker points, upon which more refined local features are restored improve adaptability small targets. Then, high-precision 3D reconstruction with aid ellipse center coordinates demonstrated ensure reliability avoid loss targets due failure landmarks...

To address the visual detection and positioning challenge of Automated Guided Vehicle (AGV) terminal, this study proposed a high-precision target recognition strategy based on cross-layer feature fusion eccentricity error correction. In remote coarse stage, small number receiver domains underwent continuous multi-layer convolution, which broadened receptive field single element in map circular target. Next, connection pyramid was constructed, deconvolution module utilized to enlarge fuse it...

This study primarily investigates the low accuracy and redundant time-consuming problem of speckle registration in full-field deformation measurement slender biggish specimens. To solve these problems, a parallel optimization tridimensional method is proposed based on what we believe novel correlation function constraints multi-camera network. First, neotype built joint constraint relationship among multiple cameras, which capable accurately restricting search for homologous points image...

This paper investigates the issue of vision orientation for unknown spacecraft in orbit-capture, upon which a fast and highly accurate pose measurement method based on improved coordinate system correction by weighted principal component analysis (PCA) is proposed. algorithm weights point cloud features before dimensionality reduction, then three vectors different frames are calculated. Consequently, effective reduction original information overlap achieved. The nearest Euclidean distance...