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Relevant bibliographies by topics / Multiple kitchen appliances

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Journal articles

Academic literature on the topic 'Multiple kitchen appliances'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Multiple kitchen appliances"

1

N., X. Yin, Saat S., H. Husin S., Yusop Y., and R. Awal M. "The design of IPT system for multiple kitchen appliances using class E LCCL circuit." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (2020): 3483–91. https://doi.org/10.11591/ijece.v10i4.pp3483-3491.

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Since many years ago, kitchen appliances are powered up by cable connected. This create a troublesome case as wire might tangle together and cause kitchen table messy. Due to this, wireless power technology (WPT) is introduced as its ability is to transmit power to load without physical contact. This leads to cordless solution better in safety as the product can be completely seal, highly expandable power range. This work focuses on the design of WPT based on inductive approach to power up multiple kitchen appliances. The selection of inductive approach over its partners capacitive and acousti

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2

Yin, N. X., Shakir Saat, S. H. Husin, Y. Yusop, and M. R. Awal. "The design of IPT system for multiple kitchen appliances using class E LCCL circuit." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (2020): 3483. http://dx.doi.org/10.11591/ijece.v10i4.pp3483-3491.

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Abstract:

Since many years ago, kitchen appliances are powered up by cable connected. This create a troublesome case as wire might tangle together and cause kitchen table messy. Due to this, wireless power technology (WPT) is introduced as its ability is to transmit power to load without physical contact. This leads to cordless solution better in safety as the product can be completely seal, highly expandable power range. This work focuses on the design of WPT based on inductive approach to power up multiple kitchen appliances. The selection of inductive approach over its partners capacitive and acousti

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3

Chen, Yufan, Tianlin Wang, and Jinrui Shan. "Research on the Value Creation of Hangzhou Robam Appliances' Digital Transformation." Frontiers in Humanities and Social Sciences 4, no. 12 (2024): 233–51. https://doi.org/10.54691/pwsb0h19.

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This project will study the path and effectiveness of Hangzhou Robames, who are among the top performers in the Chinese kitchen appliance industry in terms of market share, production scale, product type, and sales area, in driving value creation through digital transformation. Multiple analytical research methods will be used to systematically explore innovative ideas and paths for enterprise digital transformation and value creation, and provide practical significance and reference experience for enterprise digital transformation and value creation. Promote the digital transformation of ente

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4

Hassan, Ch Anwar Ul, Jawaid Iqbal, Muhammad Sufyan Khan, et al. "Design and Implementation of Real-Time Kitchen Monitoring and Automation System Based on Internet of Things." Energies 15, no. 18 (2022): 6778. http://dx.doi.org/10.3390/en15186778.

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Automation can now be found in nearly every industry. However, home automation has yet to reach Pakistan. This paper presents an Internet of Things smart kitchen project that includes automation and monitoring. In this project, a system was developed that automatically detects the kitchen temperature. It also monitors the humidity level in the kitchen. This system includes built-in gas detection sensors that detect any gas leaks in the kitchen and notify the user if the gas pressure in the kitchen exceeds a certain level. This system also allows the user to remotely control appliances such as

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5

Azurmendi, Iker, Ekaitz Zulueta, Jose Manuel Lopez-Guede, Jon Azkarate, and Manuel González. "Cooktop Sensing Based on a YOLO Object Detection Algorithm." Sensors 23, no. 5 (2023): 2780. http://dx.doi.org/10.3390/s23052780.

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Deep Learning (DL) has provided a significant breakthrough in many areas of research and industry. The development of Convolutional Neural Networks (CNNs) has enabled the improvement of computer vision-based techniques, making the information gathered from cameras more useful. For this reason, recently, studies have been carried out on the use of image-based DL in some areas of people’s daily life. In this paper, an object detection-based algorithm is proposed to modify and improve the user experience in relation to the use of cooking appliances. The algorithm can sense common kitchen objects

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6

Niu, Jia, Shanshan Jin, Ge Chen, and Xianhui Geng. "How Can Price Promotions Make Consumers More Interested? An Empirical Study from a Chinese Supermarket." Sustainability 16, no. 6 (2024): 2512. http://dx.doi.org/10.3390/su16062512.

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Price promotions are commonly employed to enhance supermarket performance and the sustainable development of the retail industry, yet their effectiveness may vary among similar supermarket chains. In contrast to Western countries, Chinese supermarkets are typically community-centered, allowing consumers to make frequent visits due to lower transaction costs. This multiple-visit pattern discourages substantial one-time purchases based on promotions. This study aims to investigate how pricing promotions can attract consumers more effectively and which product categories are most suitable for thi

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7

Hamdi, Mohammed. "Affirmative Ant Colony Optimization Based Support Vector Machine for Sentiment Classification." Electronics 11, no. 7 (2022): 1051. http://dx.doi.org/10.3390/electronics11071051.

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Sentiment analysis is part of contextual text mining, which detects, extracts and supports an organization in understanding their brand or service in social sentiment while monitoring the reviews provided by customers in online shops. The rise of online shopping and digitalization is practically achieved, and the quality of products is tough for users to judge. There is no model to find out about the same or unlike a set of people with similar sentiment analysis concerning online product evaluations. In this paper optimization-based classification algorithm is proposed namely, Affirmative Ant

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8

Vishton, Peter M. "Using Kitchen Appliance Analogies to Improve Students' Reasoning about Neurological Results." Teaching of Psychology 32, no. 2 (2005): 107–9. http://dx.doi.org/10.1207/s15328023top3202_6.

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This article describes and evaluates a new technique for teaching students to interpret studies of patients with brain injuries. This technique asks students to consider how knives and blenders lose specific functionality when they are damaged. This approach better prepares students to make proper inferences from behavioral deficits observed after brain injury, specifically with reference to single and double dissociation. Significantly improved performance on multiple-choice and identification questions included in midterm examinations suggests that the impact of these thought experiments was

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9

Bhekasuta, Apanaree, and Chonpiti Siriwan. "ODP249 The Effects of Rice From Starch-removing Rice Cooker on Postprandial Glucose And Insulin Levels in Healthy Adults: A Randomized, Double-blind, Crossover Study." Journal of the Endocrine Society 6, Supplement_1 (2022): A336. http://dx.doi.org/10.1210/jendso/bvac150.697.

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Abstract Background The starch-removing rice cooker (SRR) is an innovative kitchen appliance which uses multiple water drainage techniques passing the rice to reduce starch from rice. Many manufacturers claimed their success in starch reduction from the rice. We hypothesized that the rice from SRR cooker might have a lower postprandial glucose than normal rice cooker. Objective To assess acute glycemic and insulin responses after ingesting rice from SRR versus normal rice cooker in healthy adults. Material and Methods We conducted a first pilot randomized crossover study to compare the postpra

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10

"Robustious Feature Selection Based Genetic Algorithm (RFS-GA) For Cross Domain Opinion Mining." International Journal of Recent Technology and Engineering 8, no. 2 (2019): 6267–79. http://dx.doi.org/10.35940/ijrte.b3199.078219.

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Day by day the requirement of information for processing the sentiment analysis is getting increased multiple times. For these kind of reasons, feature selection is utilized to detect the opinion among different reviews and comments. Sentiment analysis is becoming like phenomenon due to increase of social media’s popularity. Currently, significant advancements are shown in this research domain, but still multiple challenges are to be solved – i.e., sentiment analysis in cross domains. In this paper rumbustious feature selection based genetic algorithm is proposed to address the problem of anal

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