ABSTRACT: Wearable sensor nodes continuously monitor biomedical signals and generate large volumes of data. Since data transmission consumes about 75% of a sensor node’s power, reducing power usage remains critical for longerRead More…
ABSTRACT: Dengue fever results from the bite of the Aedes aegypti mosquito, which belongs to the Flaviviridae virus family and includes four serotypes. Infected individuals typically experience a high fever of 40 °CRead More…
ABSTRACT: Every day, massive data volumes emerge from industries, social media, and communication platforms. This complex data—referred to as big data—requires advanced tools for storage, management, and analysis. While traditional approaches struggleRead More…
ABSTRACT: Soft Tissue Tumors (STT) are rare sarcomas that affect muscles, fat, nerves, and connective tissues. Due to their low frequency and heterogeneous appearance on MRI scans, doctors often misidentify them asRead More…
ABSTRACT: Prediction of Educational Data Using Deep learning models, particularly Deep Convolutional Neural Networks (DCNN), plays a vital role in analyzing student feedback and emotions to enhance the quality of education. SentimentRead More…
ABSTRACT: Speech Emotion Recognition (SER) is a key component in modern human-computer interaction systems. It enables machines to understand human emotions through speech, improving the quality of communication and user experience. ThisRead More…
ABSTRACT : Disease Identification using Machine Learning is transforming modern healthcare by enabling faster, more accurate diagnosis based on symptom analysis. This study explores a system that integrates Machine Learning (ML) andRead More…
ABSTRACT: The Improved Mathematical Model for Continuous COVID-19 prediction provides valuable insight into monitoring and managing pandemic trends. Since its emergence in December 2019, COVID-19 has disrupted global health and economies. AccurateRead More…
ABSTRACT: This research introduces a Collaborative Framework Based on Software for wireless sensor nodes to enhance event processing and detect malicious behaviors. It utilizes a two-stage distributed algorithm: setup with weighted proportionalRead More…
ABSTRACT: COVID-19 has emerged as a global health crisis, threatening human life and the global economy due to its high transmissibility. A Deep Learning Approach for LSTM in COVID-19 Forecasting is proposedRead More…
