Acute Lymphoblastic Leukemia (ALL) is an aggressive blood cancer that requires rapid and accurate diagnosis. Manual review of blood and bone marrow smears is time-consuming and observer-dependent, underscoring the need for automated methods. This stu... read more
Maize is a vital global crop, but its productivity is often threatened by plant diseases, highlighting the need for precise and timely diagnostic methods. Traditional manual inspection is inefficient and prone to errors, motivating the development of... read more
The increasing complexity of software development projects necessitates advanced tools and methodologies for effective project management. Predictive analytics, specifically the estimation of issue resolution times, plays a crucial role in enhancing ... read more
Precise and timely prediction of wheat yield is pivotal for ensuring global food security and optimizing agricultural management practices, particularly through advanced remote sensing and machine learning techniques. In this study, wheat yield was a... read more
With the development of artificial intelligence, diverse datasets can be assisted in refined operations AI. In recent years, AI has been applied to meteorological data forecasting. However, using AI presents challenges such as long training times and... read more
The air temperature (AT) is a significant factor in the environmental processes, human health, agriculture, and energy systems, so correct forecasting is very important. This paper explores the prediction of AT in a functional time series (FTS) model... read more
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