journals

Abstract The primary objective of this paper is to recognize the issues facing farmers in the agriculture industry. Food things are the most great to guarantee the quality of life. Logistic regression is a suitable analytical technique for this kind of study, since it can be applied to investigate the variables influencing Sambalpur farmers and […]

Abstract To increase accuracy, ensemble approaches have become increasingly popular in designing recommendation systems. More recently, efforts have focused on dynamically integrating base models to improve ensemble performance further. Dynamic integration entails combining multiple base models with dynamically changing contributions to the ensemble. In this paper, we propose a Dynamic-Weighted Stacking (DWS) recommendation model. Bayesian

Abstract Economic and technological changes have increased the perception of job insecurity. The growing prevalence of job insecurity among employees should not be disregarded, as it can lead to a deterioration in employee performance and have a detrimental effect on organizational efficiency, impeding its overall development. The aim of this research is to examine and

Abstract Seismic precursor identification is vital in the Himalayan range and near active fault lines to offer early earthquake warnings, as India and nearby areas face a high risk of seismic activity. This laboratory-based research conducted simulations aimed at replicating electromagnetic signals generated by artificial seismic events spanning frequencies from 1 Hz to 59 Hz.

Abstract Reinforcement learning is one of the most popular models for building agents that deal with the real world but are not distinctly told which actions to perform. In the context of gaming, the application of reinforcement learning thus spans many different categories, from classic arcade games to modern simulations. The aim of this review

Abstract Needle stick injuries are hazardous to employees’ health because they can expose them to blood-borne illnesses such as Human immunodeficiency Virus (HIV), hepatitis B, and hepatitis C. Understanding the prevalence and risk factors of injuries is crucial in order to put into practice effective preventative measures and safeguard the safety and well-being of healthcare

Abstract Skin cancer stands out as the predominant malignancy, necessitating prompt detection and intervention due to its potentially fatal nature. Distinguishing between cancerous and benign skin lesions poses a formidable challenge to visual assessment, underscoring the intricacy of accurate cancer detection. The inherent similarity in the appearances of various lesions further compounds the precision required

Abstract Globally, coronary artery disease (CAD) is the foremost cause of death. Its frequency is also rising rapidly in underdeveloped nations. It remains the leading cause of morbidity and death despite tremendous advancements in diagnostics and intervention. Therefore, an integrated approach is required, along with the search for a drug having cardio protective and rejuvenating

Abstract This paper conducts a comprehensive review and analysis of the difficulties and possibilities related to integrating deep learning algorithms into the future of VLSI design and technology. The area of integrated circuit design is becoming increasingly complex as transistors become smaller and the expectations for enhanced reliability and environmental sustainability increase. Analysts are looking

Abstract Sign language recognition (SLR) plays a crucial role in facilitating communication for the hearing-impaired community. Conventional methods for SLR have encountered difficulties in attaining both high precision and efficiency because of the intricate characteristics of sign language motions and the variability in articulation. We propose a novel framework for enhancing SLR by leveraging the