With the growing need for energy conservation and sustainability, water flow is seen as an extremely important means of production. However, people often overlook around them, such taps, which can also produce a useful amount electricity or operate independent power supply system. Therefore, this paper introduces device that captures stores kinetic from everyday faucet later release. Through coordination blade turbine three-phase generator with electric motor other structures, project...

Forest fire prevention is important because of human communities near forests or in the wildland-urban interfaces. Short-term forest danger rating prediction an effective way to provide early guidance for managers. It can therefore effectively protect resources and enhance sustainability ecosystem. However, relevant existing models operate well only when applied distinct climates fuel types separately. There are desires methodology, which construct a specific short-term model according...

In professional search tasks such as precision medicine literature search, queries often involve multiple aspects. To assess the relevance of a document, searcher painstakingly validates each aspect in query and follows task-specific logic to make decision. scenarios, we say makes structured judgment, opposed traditional univariate (binary or graded) judgment. Ideally, engine can support searcher's workflow follow same steps predict document relevance. This approach may not only yield highly...

In aquatic products companies, saccharides and phosphates are often used to impregnate improve their quality. Insignificant impregnation effect is a main problem met in the process. The of ultrasonic-assisted on storage quality snakehead fish fillets at −18 °C was studied. For all samples, such parameters as water holding capacity, pH value, salt-soluble protein content, whiteness cooking loss rate were examined periodically. Furthermore, changes moisture distribution migration during...

Online customer reviews are becoming more and important in helping consumer make decisions. Therefore, it is also interesting to see whether can be used predict future business success. In this paper, using yelp dataset from 2016, we aimed if the restaurant will still open till 2017. We focused on multi-level feature selection analyzed features that influence most for success of restaurant. The balanced accuracy 67.46%. result shows our text failed have significant indications restaurant,...

Explainable AI (XAI) algorithms aim to help users understand how a machine learning model makes predictions. To this end, many approaches explain which input features are most predictive of target label. However, such explanations can still be puzzling (e.g., in product reviews, the word "problems" is positive sentiment). If left unexplained, have negative impacts. Explaining unintuitive associations between an feature and label underexplored area XAI research. We take initial effort...

Dynamic pricing seeks to determine the most optimal selling price for a product or service, taking into account factors like limited supply and uncertain demand. This study aims provide comprehensive exploration of dynamic using multi-armed bandit problem framework in various contexts. The investigation highlights prevalence Thompson sampling scenarios with Bayesian backdrop, where seller possesses prior knowledge demand functions. On other hand, non-Bayesian situations, Upper Confidence...

Faceted search systems enable users to filter results by selecting values along different dimensions or facets. Traditionally, facets have corresponded properties of information items that are part the document metadata. Recently, faceted begun use machine learning automatically associate documents with facet-values more subjective and abstract. Examples include support topic-based filtering research articles, concept-based medical documents, tag-based images. While can be used infer when...

The Precision Medicine Initiative states that treatments for a patient should take into account not only the patient's disease, but his/her specific genetic variation as well. vast biomedical literature holds potential physicians to identify effective treatment options cancer patient. However, complexity and ambiguity of medical terms can result in vocabulary mismatch between physician's query literature. search intent (finding instead other types studies) is difficult explicitly formulate...

For a target at multiple scenes and camera monitoring status, how to achieve relay tracking problem proposes the use of improved algorithms dynamic prediction CamShift technology rapid search, locate track, with strong anti-interference adaptive capacity.

Dredge centrifugal pumps are extremely important equipment for CSD and TSHD in the field of dredging. It is mainly used to extract, transport lift granular matter, so as realize dredging reclamation works. During actual operation dredge pump, its performance directly affects efficiency dredgers. Relying on operating process parameters pump medium-coarse sand blowing filling project, this paper established a machine learning output pressure prediction model. By predicting different speed,...

The goal of interpretable machine learning (ML) is to design tools and visualizations help users scrutinize a system's predictions. Prior studies have mostly employed quantitative methods investigate the effects specific tools/visualizations on outcomes related objective performance—a human's ability correctly agree or disagree with system—and subjective perceptions system. Few qualitative how why influence performance, perceptions, behaviors. We report lab study (N = 30) that investigated...

For the process of wave detection in sea area, traditional buoy monitoring spatial distribution is uneven, and satellite remote sensing time-consuming unfavorable to safety dredging construction. In this paper, video/image feature method based on visual information, using UAV obtain video information environment automatically extracting features through convolutional networks, it can achieve purpose inferring regional changes from a single image. The network model combines lightweight...