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ijtrseditor@gmail.com   ISSN No.:-2454-2024(Online)

Volume 9 Issue III

IJTRS-V9-I03-001 :- AN INTRODUCTION OF CORE CONCEPTS OF E-COMMERCE
Author: Viral Narendra Daiya
Organisation: Department of Commerce, Arunodaya University, Itanagar, Arunachal Pradesh, India
Email: viraldaiya@gmail.com
DOI Number: https://doi.org/10.30780/IJTRS.V09.I03.001
Abstract:

As cross-border e-commerce continues to grow exponentially, global expansion strategies have become essential for multinational companies like Amazon. This study investigates the key challenges and opportunities faced by Amazon in its pursuit of global expansion in the context of cross-border e-commerce. A sample group of 500 respondents was surveyed to assess their perceptions on various aspects of Amazon's global expansion strategy. The findings reveal significant challenges that Amazon encounters, including international shipping times, customs and duties, language and localization, and customer support. These challenges impact customer satisfaction and highlight the need for continuous improvement in logistics, regulatory compliance, and customer service. Furthermore, the study identifies cultural and linguistic barriers as significant factors influencing Amazon's global expansion efforts. On the other hand, the research uncovers significant opportunities in cross-border e-commerce for Amazon, including the ability to tailor product offerings and services to regional preferences, gain a competitive edge through targeted marketing and localized advertising, and leverage advanced data analytics and AI technologies to optimize supply chain management.

Keywords: E-Commerce, Amazon, Trends, Internet, AI Technology.
IJTRS-V9-I03-002 :- TRANSFER LEARNING MODELS FOR THE PLANT DISEASE DETECTION
Author: Ashish Sen, Komal Paliwal, Kapil Parikh
Organisation: Shrinathji Institute of Technology & Engineering, Nathdwara, Rajasthan, India
Email: ashish.saiwal@gmail.com
DOI Number: https://doi.org/10.30780/IJTRS.V09.I03.002
Abstract:

Digital Image Processing based Multimedia system has become a basic component of information field. Detecting the infected plants in exact way and on time is challenging task to get exact horticulture. Preventing the excessively waste of monetary and different assets prompts gains the solid efficiency. The essential task is to prevent the infections in the varied climate so that the ailments are diagnosed ahead of time and precisely. The diagnosis of diseases happened on plants is carried out utilizing a few techniques. The plant disease detection technique is proposed in this research work. The proposed model is based on transfer learning which is the combination of VGG16 and CNN. The proposed model is implemented in python and results is analyzed in terms of accuracy, precision and recall.

Keywords: Plant disease, transfer learning, VGG16, CNN.
IJTRS-V9-I03-003 :- BUILDING BRIDGES TO SUCCESS: INCLUSIVE EDUCATION PRACTICES IN HIGHER LEARNING
Author: Parmar Nayankumar Chamanlal, Jadav Chandrikaben Shankarbhai
Organisation: M. B. Patel College of Education, Sardar Patel University, Vallabh Vidyanagar, Anand, Gujarat
Email: nayancparmar@gmail.com
DOI Number: https://doi.org/10.30780/IJTRS.V09.I03.003
Abstract:

With growing diversity in student populations, higher education institutions are striving to create inclusive learning environments. This article explores the importance of inclusive education in higher education, examining its benefits for students with disabilities and from various backgrounds. Key aspects like Universal Design for Learning and faculty development are discussed. The article concludes by highlighting the positive impact of inclusive practices on student success and the overall learning experience.

Keywords: Inclusive Education, Higher Learning.