Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
The COVID–19 pandemic has paralyzed the face to face classroom sessions but it has not stopped the teaching and learning activities of universities in the province of Nueva Ecija. The institutions shifted to e-learning and use different technological platforms hoping to provide a quality education through online delivery of instruction to their respective college students. The readiness of the 568 tertiary students to engage in online learning during this time of crisis was the focus of this study with the use of descriptive research. It determined the availability of resources and the environment needed by the students to engage in online education. It also measured the level of knowledge desired by student–learners to engage in online classes. Likewise, the challenges of the learners in engaging in online classes were explored. The results have shown that the students are not prepared to engage in online education because the technological resources and environment they needed were not always available. Their levels of knowledge in e-learning were also on the below-average and average levels. As to their challenges, poor and weak internet connection and loss and error in connections were their main concerns. Additional challenges for the students are the lack of devices, gadgets, or resources like a laptop, webcam, printer, ring light and smartphones. This paper suggests that flexible learning mode was preferred by most students in this crucial time.
This paper presented an accredited model to predict the age of marine snail, which dealt with heuristics data problems and overcomes the restrictions in the mysterious and complex relationship that links the input data to predict results. Measuring the abalone age is a very important process in many aspects, especially economic ones; Abalone economic value is linked strongly to their age. An artificial neural network which is the algorithm proposed that is compatible with solving that data throughout the training