journals

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

Abstract An early and accurate diagnosis of Alzheimer’s disease (AD) is crucial for implementing effective interventions, as this condition poses a significant global health risk. This study presents a novel model, Residual Alzheimer-Net+, which analyzes MRI and PET datasets to address the challenges of AD classification. By integrating data from both imaging modalities, this robust

Abstract Carpal Tunnel Syndrome (CTS) patients frequently report motor symptoms such as hand weakness and difficulty grasping small objects. Nevertheless, patients who only reported unilateral symptoms had bilateral neurophysiological impairment of the median nerve. The aim of the study was to assess bilateral grip and pinch strength on asymptomatic side along with to observe the

Abstract The present this study aims to explore relationship between the engagement in spiritual activities and the spiritual well-being of tribal youth practicing indigenous religious faith of Donyi Polo. The tribal youth of indigenous faith practices closeness to nature and believe on spirit in various natural entity and spirituality is considered as closeness to mother