The classification of transmission tower bolt images faces challenges such as class imbalance, sample scarcity, and the low pixel proportion pins. Traditional methods exhibit poor performance in identifying key categories with small proportions, fail to leverage correlation between line fittings bolts, suffer from severe false positive issues. This study proposes a novel approach that dynamically integrates two sampling strategies address imbalance problem while incorporating contrastive...

Abstract Background Camellia oleifera , an essential woody oil tree in China, propagates through grafting. However, production, it has been found that the interaction between rootstocks and scions may affect fruit characteristics. Therefore, is necessary to predict characteristics after grafting identify suitable rootstock types. Methods This study used Deep Neural Network (DNN) methods analyze impact of 106 6-year-old combinations on C.oleifera including seed characteristics, fatty acids....

In recent years, many sentiments classification models, such as deep learning models and traditional machine claim that they can achieve state-of-the-art performance in sentiment analysis problems. Admittedly, this is based on the premise training samples are class balanced. However, real world, data sets we get often imbalanced, which will cause trained classifier to tend predict test into a majority, making recall of minority very low. order minimize influence imbalanced model performance,...

Optimization technology is widely applied to maximize economic profit under ecology constrains in environmental management systems. To tackle the inherent uncertainties, inexact optimization methods have been proposed. Interval linear program- ming (ILP) model has drawn increasing scholarly attention. ILP describe uncertainty by one coarse scaled stochastic process. However, often involves multiple processes when zooming into high resolution. may not satisfied fine scale constraints. A time...

Camellia oleifera, a woody oil tree, is widely recognized for its valuable oil. Different cultivars of C.oleifera exhibit distinct growth characteristics, content, and composition. Therefore, the classification can aid in better utilization resources improve yield quality. However, identification remains challenging due to genetic diversity, similarities leaf morphology, influence geographical environment, among other factors. Comprehensive cultivar methods studying must be established...

With the popularity of Internet Things (IoT) and large-scale deployment sensors, data have exploded. Big is utilized to extract useful knowledge information served as services consumers. While most current researches in field big focus on developing improving algorithms for mining extraction, rarely studies "big data" from an economic perspective. This article thus pricing profit maximization problems markets First, a method quantifying value proposed study utility raw data. Then, we build...

Given that the basic cuckoo search algorithm is vulnerable to local optimum and unsatisfactory calculation precision, chaotic operator (CO), employed as algorism optimize elitist individuals in population, can effectively enhance properties of (CS) algorithm. Tested by 15 benchmark high-dimensional functions, experiment result indicates (CCS) increase precision step up convergent speed with improved robustness, which be applied other engineering optimization problems.

Non-Volatile Memories (NVMs) have many advantages over traditional DRAM. It is desirable to apply NVM as main memory in embedded Chip Multi-Processor (CMP) systems. However, NVMs drawbacks that need be overcome. That is, a write the expensive. Loops are most critical and time-consuming part digital signal processing (DSP) applications. loops difficult parallelize on multi-processor systems due inter-iteration dependencies. This paper targets CMP proposes techniques improve loop parallelism...

As an increasing number of providers are offering cloud service reservations, increasingly competitive market has emerged. While most these charge users for metered usage based on fixed prices, they cannot make a timely response to demand changes and may risk losing users. Hence, we highlight the importance autonomous provider who self-adjusts price according latest demands market. Extensive research shown that this is not problem single provider. However, when it comes multiple providers,...

An optimized parallel algorithm is proposed to solve the problem occurred in process of complicated backward substitution cyclic reduction during solving tridiagonal linear systems. Adopting a hybrid model, this combines method and partition method. This has simple on computers comparing with In paper, operation count execution time are obtained evaluate make comparison for these methods. On basis results measured parameters, using approach multi-threading implementation achieves better...

In order to improve the transmission efficiency of optical fiber network, it is necessary do a good job in network planning research. this paper, simulated annealing algorithm used analyze path problem 12 regional networks. By trying establish 16 and 33 connection paths, comparison search time, value topology carried out find optimal network. The method provides constructive comments for actual work next step.

Reconfigurable system on chip is well known for its flexibility high performance embedded systems. The hardware/software (HW/SW) partitioning the most important phase during design of reconfigurable chip. A great many different algorithms have been adopted solving problem. Shuffled Frog Leaping Algorithm (SFLA) popular simple concepts, little parameter adjustment, calculation speed, strong global search optimization capability and easy execution. In this paper, we apply SFLA algorithm to...

Entity alignment is crucial for merging knowledge across graphs, as it matches entities with identical semantics. The standard method these based on their embedding similarities using semi-supervised learning. However, diverse data sources lead to non-isomorphic neighborhood structures aligned entities, complicating alignment, especially less common and sparsely connected entities. This paper presents a soft label propagation framework that integrates multi-source iterative seed enhancement,...