Cricket is a popular sport worldwide, played with a bat and balls. This paper used classification and regression to predict the T20 and Test matches results and scores because cricket fans and analysts always want to ...
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Logic bugs are bugs that can cause database management systems (DBMSs) to silently produce incorrect results for given queries. Such bugs are severe, because they can easily be overlooked by both developers and users,...
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Automatic speaker verification (ASV) systems have been used in numerous voice-controlled technologies including voice banking, automobiles, smartphones, smart homes, etc. The growth of voice-operated devices is increa...
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The COVID pandemic has driven innovations that have made information technology all-pervasive in the lives of most individuals. This systematic review seeks to determine the key themes that reflect these advances. The...
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This paper presents a comparative analysis of sentiment classification methods applied to a dataset of Amazon reviews. Three methods are evaluated: the pre-trained BERT model, Naive Bayes with TF-IDF, and the lexicon-...
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Silver molybdate(Ag_(6)Mo_(10)O_(33))exhibits excellent catalytic properties and photocatalytic degradation owing to its unique chemical and structural characteristics,but its prospective applications in electrochemis...
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Silver molybdate(Ag_(6)Mo_(10)O_(33))exhibits excellent catalytic properties and photocatalytic degradation owing to its unique chemical and structural characteristics,but its prospective applications in electrochemistry energy storage have not received sufficient ***,the Ag_(6)Mo_(10)O_(33) meso/nanowires with superior morphological characteristics are fabricated employing a high-efficient microwave irradiation ***,the novel synthesizing mechanism of ultralong Ag_(6)Mo_(10)O_(33) mesowires is also proved to be a“self-assembly-dissolution-recrystallization-Ostwald-ripening”process,by exploring through the parallel experiments on the dramatic alterations in topology and size of Ag_(6)Mo_(10)O_(33) at continuous reaction ***,the properties of the ultralong uniform Ag_(6)Mo_(10)O_(33) mesowires for the sodium storage are investigated via cyclic voltammetry,electrochemical impedance spectroscopy and galvanostatic ***,these as-obtained Ag_(6)Mo_(10)O_(33) mesowires exhibit an outstanding initial capacity(1587.9 mAh·g^(-1)),a remarkable specific capacity for the second cycle(817.9 mAh·g^(-1)),and an excellent reversible capacity(551.5 mAh·g^(-1) after 30 cycles).The superior electrochemical properties of the nanoscaled silver molybdate are ascribed to the lower charge transfer resistance due to the microstructure of the smallest size Ag_(6)Mo_(10)O_(33) nanosheets that exhibit a thickness of around 5 nm,which can provide a great contact with the electrolyte,facilitating the rapid diffusion of sodium ions at the electrode/electrolyte interface and the rapid transport of sodium ions within the electrode ***,the proposed synthetic strategy and achieved deep insights will stimulate the development of Ag_(6)Mo_(10)O_(33) for high-safety and long-life sodium ion batteries.
Existing research on recommender systems primarily focuses on improving a single objective, such as prediction accuracy, often ignoring other crucial aspects of recommendation performance such as temporal factor, user...
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Existing research on recommender systems primarily focuses on improving a single objective, such as prediction accuracy, often ignoring other crucial aspects of recommendation performance such as temporal factor, user satisfaction, and acceptance. To solve this problem, we proposed an explicable recommendation model using many-objective optimization and a time-assisted knowledge graph, which utilizes user interaction times within the graph to prioritize recommending recently frequently visited items and is further optimized using a many-objective optimization algorithm. In this model, the temporal weight of user actions at different times is first determined through a time decay function. Additionally, if a user clicks on the same item again, the current action's temporal weight is set to one. This strategy prioritizes recent user actions and frequently visited items, reflecting current interests and preferences better. Next, the created knowledge graph is used to create a list of potential recommendations. Embedding methods obtain the vectors for entities and relations in the path. These vectors, combined with the temporal weight of actions, quantify the explainability of user recommendations. Optimizing the rest of the recommendation performance with many objective algorithms while focusing on the user's recent frequent visits to the item. Finally, the outcomes of the research study indicate that, compared to other explicable recommended methods, our model, considering temporal factor, improved average accuracy by 11%, diversity by 1%, and explainability by 21% in the Useraction1 data set. Results in other data sets also indicate that the proposed model maintains accuracy, diversity, and novelty while enhancing explainability.
The progression of voice keyword search has been intrinsically linked with the evolution of speech recognition technologies since their inception. In recent years, with the widespread application of end-to-end techniq...
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On the current breeding goose farm,the detection of individual egg laying mainly depends on some judgement experiences of farm *** present,there have been some egg laying detection systems developed with images and we...
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On the current breeding goose farm,the detection of individual egg laying mainly depends on some judgement experiences of farm *** present,there have been some egg laying detection systems developed with images and weighing sensors,which only signal the eggs being laid,but no egg position being ***,the detection rate of the system is not high due to environment limitations like dim light of the goose ***,to solve these problems mentioned above,an intelligent detection and positioning system is pro-posed by integrating technologies of the Radio Frequency(RF)and photoelectric sensors,together with the geometric calculation *** this research,individual egg laying information of breeding geese in a non-cage state was examined to improve the level of auto-matic detection and positioning in the field of breeder egg *** results showed that an accurate detection and positioning of an egg in a nest filled with the artificial turf could be achieved under some conditions:the height of sensor is 3.5 cm from the bottom plate of the egg laying nest,the spacing of the photoresistor module is 5 cm,and the external light intensity is less than 110 *** also shown that the error of the goose egg position recognition is 0.443 cm with a suitable level of straw in the ***,the monitoring system and positioningmethod that was developed in this research could provide a reference for the analysis of individual egg laying behavior,and could result in an improvement in the automatic egg collection for the breeding geese production.
In the era of deep learning, it's important to obtain enough qualified data for model training. For the labor-intensive and time-consuming characteristics of data collection and annotation, date augmentation has b...
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