For wireless sensor network (WSN) coverage problems, since the sensing range of nodes is a circular area with symmetry, taking symmetry into account when deploying will help simplify problem solving. In addition, in view two specific problems high node deployment costs and insufficient effective WSNs, this paper proposes WSN optimization method based on improved grey wolf optimizer multi-strategies (IGWO-MS). As far as IGWO-MS concerned, first all, it uses Sobol sequences to initialize...

Crop traits such as aboveground biomass (AGB), total leaf area (TLA), chlorophyll content (LCC), and thousand kernel weight (TWK) are important indices in maize breeding. How to extract multiple crop at the same time is helpful improve efficiency of Compared with digital multispectral images, advantages high spatial spectral resolution hyperspectral images derived from unmanned aerial vehicle (UAV) expected accurately estimate similar among breeding materials. This study aimed exploring...

This paper discusses a hybrid grey wolf optimizer utilizing clone selection algorithm (pGWO-CSA) to overcome the disadvantages of standard (GWO), such as slow convergence speed, low accuracy in single-peak function, and easily falling into local optimum multi-peak function complex problems. The modifications proposed pGWO-CSA could be classified following three aspects. Firstly, nonlinear is used instead linear for adjusting iterative attenuation factor balance exploitation exploration...

Hyperspectral images collected by unmanned aerial vehicles (UAVs) can provide fine, narrowband spectral information and help realize the accurate estimation of physiological biochemical crop parameters at plot scale. However, exposure to different backgrounds will negatively affect chlorophyll diagnosis. This research investigated impact background its degree influence on accuracy soil plant analyser development (SPAD) values. UAV-based hyperspectral 498 maize inbred lines were obtained...

A robust wood material crack detection algorithm, sensitive to small targets, is indispensable for production and building protection. However, the precise identification localization of cracks in wooden materials present challenges owing significant scale variations among irregular quality existing data. In response, we propose a algorithm tailored materials, leveraging advancements YOLOv8 model, named ICDW-YOLO (improved material-YOLO). The model introduces novel designs neck network layer...

By combining multiple weak learners with concept drift in the classification of big data stream learning, ensemble learning can achieve better generalization performance than single approach. In this paper, we present an efficient classifier using online bagging method for learning. classifier, introduce resampling mechanism on training instances, and use a robust coding based error-correcting output codes. This is done order to reduce effects correlations between classifiers increase...

Causation is a complex concept. No single monistic theory of causation likely to account for it (Wolff, P. (2014). Causal pluralism and force dynamics. In B. Copley, F. Martin, & N. Duffield (Eds.), Forces in grammatical structures: between linguistics philosophy). Nonetheless, mental model (MMT) claims provide unified causal representation inference. MMT, singular claim "A caused B" has deterministic meaning referring three temporally ordered possibilities: A B, not-A not-B. internal...

Owing to the constraints stemming from a paradigm primarily fixated on tangible paper-based textual reservoirs, conventional libraries have encountered considerable limitations within their operational methodologies, resulting in incapacity adequately address requisites of contemporary library administration. In response, this paper introduces blueprint for smart system predicated upon integration Internet Things (IoT) and artificial intelligence (AI) technologies. The purview encompasses...

Discovering valuable and diverse resources in an educational digital library can be difficult with the existing large number of content collections. Researchers information retrieval related domains have moved from considering only keyword-based matching to modeling underlying behavior pattern users. To achieve purpose both precision diversity while providing online resource services, this paper, we propose a weighted network-based filtering framework that models user usage as bipartite...

Document-level RE requires reading, inferring and aggregating over multiple sentences. From our point of view, it is necessary for document-level to take advantage multi-granularity inference information: entity level, sentence level document level. Thus, how obtain aggregate the information with different granularity challenging RE, which has not been considered by previous work. In this paper, we propose a Hierarchical Inference Network (HIN) make full use abundant from Translation...

The mental model view of causation is deterministic, which claims that "A causes B means given A, the occurrence necessary" (Johnson-Laird et al., 2017). Frosch and Johnson-Laird [2011). Is everyday deterministic or probabilistic? Acta Psychologica, 137, 280–291. https://doi.org/10.1016/j.actpsy.2011.01.015] provide an empirical study to support this proposal. Several facets causal pluralism established in previous works motivate us suspect monistic determinism. Therefore, we analyse al.'s...

Three experiments examined how people reason about what is possible or necessary when a conditional true. Participants were asked to indicate whether it was necessary, impossible for specific instance conform one of the truth-table cases (pq, p¬q, ¬pq and ¬p¬q) (¬ = not), given truth conditional. It found that most participants, inconsistently, judged pq case as but ¬p¬q possible. Logically, these two kinds judgments are contradictory. Moreover, true doesn’t imply under must be . Therefore,...

The Positron Emission Mammography imaging system (PEMi) provides a novel nuclear diagnosis method dedicated for breast imaging. With better resolution than whole body PET, PEMi can detect millimeter-sized tumors. To address the requirement of semi-quantitative analysis with radiotracer concentration map breast, new attenuation correction based on three-dimensional seeded region growing image segmentation (3DSRG-AC) has been developed. gives 3D connected as result instead slices. continuity...

This paper demonstrates the Ruddick's algorithm to utilize atmospheric correction with hyper-spectral imagery over Chinese turbid lake water obtained by China first hyperspectral imager (HSI) onboard HJ-1A. The studies on sensor characteristics and analyzes optical properties of in Taihu Lake. Based consideration about real circumstances, recalibrates parameter <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">α</sup> value taken as 1.43. Results...

An important goal of a recommender system is to solve the top-k recommendation problem, however, there no perfect ranking list for any algorithm. Much work has been done on improve user experience. In this paper, we focus technique dithering which can be used in an online situation and neglected most academic research, propose new method formulation problem. At first step, (e.g. engine) collects user's preference provides corresponding ranking. The responds with domain predefined operation...

To enable electronic screening of eligible patients for clinical trials, free-text trial eligibility criteria should be translated to a computable format. Natural language processing (NLP) techniques have the potential automate this process. In study, we explored supervised multi-input multi-output (MIMO) sequence labelling model parse into combinations fact and condition tuples. Our experiments on small manually annotated training dataset showed that performance MIMO framework with...