journals

Abstract Without advanced artificial intelligence (AI) technologies, monitoring and identifying wildlife has become increasingly difficult. To examine AI-driven methodologies for wild animal identification, this work uses a diverse dataset of annotated images with human, domestic and wild animal annotations. Convolutional Neural Networks (CNNs), AlexNet, and Deep Q-Learning (DQN) models are developed and compared by combining […]

Abstract Teachers’ motivation has become a significant concern, given their obligation to impart knowledge and skills to students. This research attempts to investigate the motivational factors and their effect on teacher’s performance in private and public schools in Guwahati. The classical theories of motivation have given a clear view on various factors of motivation. The

Abstract Healthcare today faces a plethora of compelling challenges, and motivation is essential. It is important to recognize that the workforce in the health sector operates distinctly and specially. Consequently, because health organizations are susceptible to external pressures from patients, their families, various governing bodies, and the government, workforce development is an essential component of

Abstract The world’s second-largest producer and exporter of rice is India. Early disease detection is crucial to ensuring healthy rice production. In order to address the issue of diagnosing illnesses in rice plants, a number of strategies have been put forth; nevertheless, it has been discovered from the literature that these models do not perform

Abstract The classifying process of Remote Sensing Image (RSI) has been crucial in diverse applications, involving land cover mapping, environmental monitoring, disaster assessment, and urban planning. Conventionally, image classification in Remote Sensing (RS) relies on Machine Learning (ML) and handcrafted feature extraction approaches. But, lately, Deep Learning (DL) has become an effective and powerful method

Abstract As the prevalence of online services and platforms continues to grow, so too does the threat posed by automated attacks seeking to circumvent security measures such as CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) mechanisms. This research paper delves into the various attack vectors and vulnerabilities inherent in CAPTCHA

Abstract Nowadays, washing technologies are extensively used in every household. The purpose of this work is to create and develop a fuzzy logic-based system for improving the intelligence of washing machines. In complex control systems, fuzzy logic is more effective when compared to traditional procedures. The fuzzy technique combines machine precision as well as human

Abstract This article critically examines the scope and implementation of Bloom’s Taxonomy in the assessment and teachinglearning process. Bloom’s revised taxonomy consists of six categories: remember, understand, apply, analyze, evaluate, and create. The objective of this article is to explore the extent to which the application of Bloom’s Taxonomy categories in English literature students helps

Abstract Incorporating the Internet of Things (IoT) systems into Smart environments can reinforce stability and sustainability. IoT-deployed smart environment monitoring devices supports energy monitoring, water consumption, and other resource utilization details. Several earlier research works have focused on energy, water consumption, or other sustainable parameter monitoring that cannot retain and manage sustainability. This paper aims

Abstract Dental caries (DC) is a major oral health concern affecting a large population, primarily children. Children worldwide are affected by dental caries due to food habits or oral hygiene methods. It is seen that in healthy individuals, Candida species occur as normal commensal in the oral cavity. However, it becomes a potential opportunistic pathogen