Towing the line of the shared interaction between Indian and Western phenomenological thought, the paper presents a phenomenological analysis and appreciation of the idealistic esoteric tradition of Pratyabhijna, a sub-school of what is popularly known as Kasmir Saivism. Armed with the lens of the Husserlian phenomenological method, the paper looks at the phenomenological elements of epistemological 'world-making' within Pratyabhijna. With the vantage point supplied by previous research that has investigated parallels in the notions of consciousness between Husserlian phenomenology and the (...) Indian philosophical traditions of Samkara, Ramanuja, and the Yogacara Buddhists, the paper suggests that both transcendental phenomenology and Pratyabhijna postulate a foundational, temporal, and intentional consciousness, in contradistinction to the aforementioned traditions. In underscoring the intentional nature of consciousness in Pratyabhijna, the paper emphasises the epistemological dyad of prakasa-vimarsa. While doing the following, it also points to the differences in the key metaphysical assumptions of the two traditions. (shrink)

Nowadays, remote monitoring systems have developed gradually to respond for particular needs in healthcare sector, which is an essential pillar in the modern concept of smart living, we propose a smart health monitoring system to monitor patient health conditions, as a smart healthcare system based on the widely spread and evolved technologies. Statistics show that severe Falls, hypertensive heart disease and blood pressure are risk factors for high death rate. To decrease it a preventive measure should be applied providing a (...) real-time health monitoring system, to save patients life at acceptable time. The objectives of this project are to provide an effective system model that will track, trace, and monitor patient’s movement, location, vital readings like heartbeat pulses, body temperature in order to provide efficient medical services in time. In proposed system data will be captured using sensors and compared with a predefined threshold. After processing it will send the Message for support to Relatives/Caretakers which will contain the Location, Heartbeat Values and Body temperature. (shrink)

House price prediction is a critical task in real estate analytics, influenced by various factors such as location, economic conditions, and property features. Traditional machine learning models rely heavily on structured data, while recent advancements in deep learning enable the integration of unstructured data such as images. This paper presents a novel hybrid approach that combines structured numerical data with image-based features using Regionbased Convolutional Neural Networks (R-CNN). The proposed model improves predictive accuracy by leveraging both property characteristics and visual (...) information. Experimental results demonstrate that the hybrid approach outperforms conventional methods in terms of mean absolute error and root mean squared error. (shrink)