Deep learning (DL)-based diagnosis of respiratory illnesses has the ability to detect diseases early. However, the success of DL algorithms is dependent on the datasets, therefore developing an algorithm that works with ...

Mortality prediction models play a pivotal role in evaluating patients’survival prospects within defined time frames.In the context of IntensiveCare Units (ICUs), the accurate prediction of patient mortality has ...

The computerized numerical control (CNC) machining industry is facing challenging situations as it moves forward from using traditional cutting fluid management practices to green counterparts. This thesis aims to scrutinize ...

With the rapid increase of population in the current world, there is an increasing demand for efficient transportation systems. Proper vehicle management in road intersections can ameliorate the efficiency of transportation ...

ABSTRACT A popular configuration for studying complex flow characteristics and local scour around groups of piers by using piers arranged in tandem configurations or side-by-side. Alongside factors such as pier spacing ...

Predicting the bandgap of perovskite absorbers properly is vital for an effective perovskite solar cell design. According to the literature, the bandgap of perovskites is the most dominant parameter affecting solar cell ...

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A ternary nanocomposite of plasticized starch (PS), reduced graphene oxide (rGO), and molybdenum disulfide (MoS2) was prepared via an aqueous casting process, with MoS2 concentrations ranging from 0.25 wt.% to 1.00 wt.%. ...

Chest X-rays are commonly used in clinical settings to diagnose thoracic diseases, es- pecially in low-resource settings. However, interpreting these images can be challeng- ing, particularly in resource-constrained ...

Among the developing countries in the world, Bangladesh is suspected to be one of the major contributors to regional and global antibiotic resistance because of the widespread misuse of antibiotics in human healthcare, ...