Abstract In order to screen high-quality peanut pod varieties on food processing production lines and promote the sustainable development of as well expansion its consumer market, this study improved recognition ability efficiency deep feature extraction by optimizing ResNet50 learning network model. Experimental results showed that accuracy optimized model reached 91.6%, which was 2.1% higher than original Additionally, extracted features appearance morphology pods, used agglomerative...

The number of soybean pods is a key determinant yield, making accurate detection and counting essential for yield estimation, cultivation management, variety selection. Traditional manual methods are labor-intensive time-consuming, while object networks widely applied in agricultural tasks, the dense distribution overlapping occlusion present significant challenges. This study developed pod model, YOLOv8n-POD, based on YOLOv8n network, incorporating innovations to address these issues. A...

To narrow the inherent sensing gap in heterogeneous face recognition (HFR), recent methods have resorted to generative models and explored ?recognition via generation? framework. Even though, it remains a very challenging task synthesize photo-realistic visible faces (VIS) from near-infrared (NIR) images especially when paired training data are unavailable. We present an approach avert misalignment problem faithfully preserve pose, expression identity information during cross-spectral...

Fingerprint recognition systems are widely deployed in both government and civilian applications. But the emergence of fake fingerprints poses a new threat to privacy security. Among numerous fingerprint vitality detection methods, local binary pattern (LBP) is considered as one state-of-the-art operators. However, tends be sensitive noise, there no types filters involved LBP operator. Worse still, operator can not reflect these difference whether pixel value bigger than threshold or equal...

Overlapped fingerprints are commonly encountered in latent lifted from crime scenes. Such overlapped can hardly be processed by state-of-the-art fingerprint matchers. Several methods have been proposed to separate the fingerprints. However, these neither provide robust separation results, nor could generalized for most In this paper, we propose a novel algorithm based on adaptive orientation model fitting. Different existing methods, our estimates initial fields more accurate way and then...

Abstract Effective information processing technology is one of the keys to improving detection accuracy. In this study, a feature reduction strategy proposed for reducing dimension electronic nose (e-nose) sensor features, in combination with multiclassifiers identify origin rice. Firstly, time domain and time-frequency features were extracted from data. Secondly, kernel principal component analysis entropy (KECA) introduced reduce fusion obtain components (KPCs) (KECs). Finally, global...

Chinese calligraphy, as a well-known performing art form, occupies an important role in the intangible cultural heritage of China. Previous studies focused on psychophysiological benefits calligraphy. Little attention has been paid to its aesthetic attributes and effectiveness cognitive process. To complement our understanding this study investigated experience cursive-style calligraphy using brain functional network analysis. Subjects stayed coach rested for several minutes. Then, they were...

Shield and control: The application of a protein design strategy to interrogate the perception color is described. Cellular retinoic acid binding II (see structure) was used first show that complete encapsulation chromophore critical achieve an opsin shift comparable one observed for rod rhodopsin, second rhodopsin mimic capable retinoid analogue responds changes in electrostatic environments. Detailed facts importance specialist readers are published as "Supporting Information". Such...

The performance of automatic fingerprint identification system relies heavily on the quality images. Poor images result in missing or spurious features, thus degrading system. Therefore, it is important for a to estimate captured In this paper, new method based Principal Component Analysis (PCA) proposed measure. PCA common and useful statistical technique finding patterns data high dimension. It can be found that patches local neighborhood form simple regular circular manifold topology...

Cancelable biometrics has become an indispensable technique during biometric authentication. There have been several prior attempts to construct cancelable fingerprint templates. However, existing schemes not provided a satisfying trade off between performance and security. In this paper, we proposed two novel approaches registration-free templates based on Minutia Cylinder Code, which is the state of art local representation for fingerprint. And experiments show that provide good results in...

Overlapped fingerprints are commonly encountered in latent lifted from crime scenes. Such overlapped can hardly be processed by state-of-the-art fingerprint matchers. Several methods have been proposed to separate the fingerprints. However, these neither provide a robust separation results, nor could generalized most In this paper, we propose novel algorithm based on adaptive orientation model fitting. Different existing methods, our estimates initial fields more accurate way and then...

Objective To investigate iron deposition in the substantia nigra (SN) of Parkinson’s disease (PD) patients associated with levodopa-induced dyskinesia (LID). Methods Seventeen PD LID, 17 without and 16 healthy controls were recruited for this study. The mean QSM values whole, left, right SN compared among three groups. A multivariate logistic regression model was constructed to determine factors increased risk LID. receiver operating characteristic curve value discriminating LID evaluated....

Recognition of fingerprints from multi-type capture sensors is a challenging work. While minutia cylinder-code, which suggested to be invariant for translation and rotation robust against skin distortion small feature extraction errors, an excellent proposed recently. In this paper, we conduct series experiments with cylinder-code evaluate its performance on sensors. Then scale step added deal the different resolutions creation modified accordingly. The two other matchers are tested....

Fingerprint scaling is an important issue for fingerprints from different capture sensors. A good scale would process the resolution difference and somewhat distortion of fingerprints. In this paper, we develop a coarse-fine method to estimate optimal between input template The global coarsely calculated based on ridge distance map finally determined by histogram local refined all matchable minutiae pairs. Experimental results demonstrate that our algorithm effectively improves matching...

Objective: This study aimed to evaluate the direct anti-dyskinesia effect of deep brain stimulation (DBS) subthalamic nucleus (STN) on levodopa-induced on-dyskinesia in Parkinson's disease (PD) patients during early period after surgery without reducing levodopa dosage. Methods: We retrospectively reviewed PD who underwent STN-DBS from January 2017 October 2019 and enrolled with before a history thalamotomy or pallidotomy. The Unified Dyskinesia Rating Scale (UDysRS) parts I+III+IV Disease...

Hardware-related infection in deep brain stimulation (DBS) is one of the most commonly reported complications frequently resulting removal implantable pulse generator (IPG).The aim this study was to establish a useful strategy better prevent and treat those infections improve preservation rates IPG.We conducted retrospective historical controlled all adult patients (≥18 years old) who had undergone initial DBS implantation at single center. All participants were enrolled control group...

Orientation Field (OF) is one of the most significant characters to distinguish fingerprint images from non-fingerprint images. An effective definition OF pattern will not only benefit enhancement, but also contribute latent detection and segmentation. The existing models either require pre-knowledge singular points, or cannot be generalized all kinds OFs. In this paper, we propose define patterns based on low rank decomposition sparse coding. Then apply proposed method recognition...

Various types of fingerprint sensors introduce large variances fingerprints in distortion patterns and noise, which greatly challenge the traditional matching algorithms. In this paper, we develop a hierarchical registration algorithm to handle non-linear among multiple kinds sensors. The transformation model is initially estimated with rigid gradually upgraded affine quadratic model. upgradation carefully designed obtain trade-off between fitting accuracy high-level facilities low-level We...

Blind face restoration (BFR) is a challenging problem because of the uncertainty degradation patterns. This paper proposes Restoration with Memorized Modulation (RMM) framework for universal BFR in diverse degraded scenes and heterogeneous domains. We apply random noise as well unsupervised wavelet memory to adaptively modulate face-enhancement generator, considering attentional denormalization both layer instance levels. Specifically, training stage, low-level spatial feature embedding,...