Poor air quality can negatively affect the environment and human health. Air pollution contains unstable atoms that can attack healthy cells, damaging the body. Inhaling pollutant air affects the respiratory system, eyes, nose, throat, heart, and blood vessels. It deteriorates many breathing and lung illnesses, leading…
Recognizing human emotions via brain signals is one of the latest advancements in the field of bio-signalling technology. Electroencephalography (EEG) is one of the cost-effective technologies that analyze the biomedical signals generated by a human brain that can be used to interpret human emotions. The primary object…
Mood's state depicts human personality traits and behavior in every situation. Predicting mood is a complex problem that deals with interactions of human psychology, subconscious mind thoughts, and their connection with the environment. This research proposes a deep learning-based solution to deal with such problems of…
Road Extraction (RE) from Remote Sensing Images (RSI) has become essential in various areas, including automatic vehicle navigation, urban planning, traffic management, and disaster management. RE from RSI remains a challenging process owing to the complex nature of road structure and occlusions from nearby trees, vehi…
The growing field of cloud-based enterprise management depends on data analytics in Workday cloud ecosystems since it makes workforce planning intelligent, flexible, and safe. However, as multidimensional workforce data becomes more sophisticated, it becomes increasingly difficult to guarantee the security, scalability…
Heart disease is a significant type of cardiovascular disease and one of the primary causes of death worldwide, which is why precise and timely diagnostic assistance mechanisms should be a major priority. This paper is a proposal of a hybrid explainable machine learning model to predict early heart disease based on cli…
Precise and coherent transplant predictions are hampered by numerous concerns with recent electronic Health Records medical institutions, involving data crumbling, privacy hazards, and unpredictable data features. This study develop a unique paradigm XAI-BFL model that connects Explainable Artificial Intelligence (XAI)…