Papuan Batik motifs began to appear in 1984 and are only known in general with one designation, namely Papuan batik, even though these various motifs can be classified according to the area of origin of manufacture, c...
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this paper examines the comparative effectiveness of three distinct Flipped Classroom (FC) teaching methods in the context of Power and Electrical (PE) engineering education: Traditional Flipped Classroom (TFC), Video...
this paper examines the comparative effectiveness of three distinct Flipped Classroom (FC) teaching methods in the context of Power and Electrical (PE) engineering education: Traditional Flipped Classroom (TFC), Video-Assisted Teaching Methods (VAFC), and Virtual Reality Flipped Classroom (VRFC). the study incorporates valuable feedback from students who experienced these methods and provides an evaluation of their perceptions. A cross-over methodology for comparing these FC methods is presented. the VAFC method is perceived to be an effective approach and preferred over TFC and VRFC by students. the paper also provides Teachers' perception in implementing above FC methods, which outlines a process for developing VAFC and VRFC teaching resources. Operational difficulties in implementing such methods are highlighted, especially in the context of fast-paced, privately-catered undergraduate education sector striving for implementing non-conventional teaching methods.
this article is a development of soil moisture measurement systems of low-cost sensors installed in remote planting areas using Internet of things (IoT). there are 3 sets of measurement systems that it separates insta...
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Cloud resource scheduling has become a hot spot in the field of cloud computing. the common method to deal with resource scheduling problem is to build an optimization model and then use intelligent optimization algor...
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One of the fastest-growing subfields of computer vision and picture categorization is fruit identification. the fruit industry could start using a standardised categorization system so that shoppers can easily disting...
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ISBN:
(纸本)9798350383522
One of the fastest-growing subfields of computer vision and picture categorization is fruit identification. the fruit industry could start using a standardised categorization system so that shoppers can easily distinguish between different types and quality levels of fruit. From a health perspective, fruit quality is essential. the task of classifying fruits is crucial in many commercial contexts. A supermarket cashier may use a fruit categorization system to better recognise the varieties of fruit and their associated costs. It might also be used to determine whether or not a given kind of fruit is suitable for a person's diet. the rising use of intelligent imaging equipment may be directly attributed to the proliferation and development of AI software. Deep learning methods, such as CNN, are now being used by researchers for picture categorization. CNN's superior performance may be achieved without using any manually-crafted characteristics, in contrast to the older methods. For automated categorization, it employs a plethora of filters that strip relevant visual information. Classifying fruits accurately is a challenge in the horticulture sector and calls for the knowledge of an expert. For accurately and quantitatively analysing fruits, the currently mentioned categorization techniques fall short. therefore, it is beneficial to review the latest suggestions for categorizing fruits. To solve this problem, we need a computerised system that can automatically sort fruits into their respective categories. Deep learning models, such as the Restricted Boltzmann Machine (RBM) and the Adam based Deep Belief Network (DBN), are used in this assignment to categorise fruits according to the attributes that have been determined to be optimum and generated. the proposed approach has been shown to have effective accuracy and quantitative analysis outcomes, and this is just the beginning of this realisation. In addition, the suggested scheme's relatively strong computational mo
Withthe technologies of distributed energy resources and digital communication systems, energy consumers can behave like proactive entities, called prosumers, and participate in peer-to-peer energy trading market. th...
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A reference-guided algorithm for DNA assembly of non-model organisms is proposed. the method enables the use of not only within or closely-related species but also a more distantly-related species as a starting point ...
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In this paper, we propose two innovative approaches to tackle the key challenges in product size classification, with a specific focus on bottles. Our research is particularly interesting as we leverage the bottle cap...
In this paper, we propose two innovative approaches to tackle the key challenges in product size classification, with a specific focus on bottles. Our research is particularly interesting as we leverage the bottle cap as a reference object, which allows bottle size classification to overcome challenges in the distance between the capturing device and the retail shelf, viewing angle, and arrangement of bottles on the shelves. We showcase the usage of the reference object in explicit and implicit novel approaches and discuss the benefits and limitations of the proposed methods.
the number of malware such as banking Trojans, spyware, and ransomware in Android devices has been rising. In addition, the recent evolution of Android malware makes existing malware detection techniques less effectiv...
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