July 2024

Abstract Plant leaf disease identification and evaluation in a timely and accurate manner is crucial for efficient farming operations for crop yield optimization. Employing the most recent advances in technology, specifically the combination of deep learning and the Internet of Things (IoT), this paper offers an efficient approach to identifying plant diseases. We propose a […]

Abstract This study investigates the impact of toxic leadership on employee turnover intention within automobile industry. The primary objectives are to assess the direct influence of toxic leadership (TLB) on employee turnover intentions (ETI) and uncover the mediating roles of cognitive distraction (CD) and workplace bullying (WPB). The implications of toxic leadership (TLB) on employee

Abstract In contemporary flood management, integrating advanced remote sensing and machine learning marks a significant advancement. This research presents a framework leveraging such tech for flood management. It utilizes the SEN-12 flood dataset for satellite imagery analysis, enabling precise flood mapping via pre-processing. By refining the dataset with bandwidth images, targeted flood detection becomes feasible.

Abstract The present investigation investigates the relationship between the S&P BSE market and particular financial characteristics through statistical analysis. The Indian stock market is crucial element of the nation’s financial framework, functions via two primary stocks provides: the Bombay Stock Exchange and National Stock Exchange. It examines money supply, Interest Rate (IR), Consumer Price Index

Abstract Naturally occurring and synthetically produced hybrid compounds are potential reservoir for development of novel drug regimen because of various benefits including effectiveness, minimal side effects, receptor interactions and pharmacokinetic features. Coumarin and chalcone are perfect building blocks for creating hybrid scaffolds that can be used as bioactive agents. These are essential classes of synthetic

Abstract National Medical Council has included teaching rational prescribing practices into its 2nd phase medical curriculum to inculcate the habit of writing rational and legible prescription by the health-care professionals to reduce prescription errors. The study aims to assess the improvement in prescribing skill of 2nd phase MBBS students by comparing against the WHO guidelines

Abstract Sellers are attempting to resurrect offline businesses by implementing retail technologies in response to the decline of physical fashion stores. The need for this study was to ascertain how perceived risk and quality were impacted by aspects of the off the internet mobile connected smart selling familiarity in terms of fulfilment. A study including

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