The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …

Artificial Intelligence (AI) has experienced rapid advancements in recent years, facilitating
the creation of innovative, sustainable tools and technologies across various sectors. Among …

Gynecologic (GYN) malignancies are gaining new and much-needed attention, perpetually
fueling literature. Intra-/inter-tumor heterogeneity and “frightened” global distribution by race …

This study presents an innovative methodology to predict employee turnover by integrating
Artificial Neural Networks (ANN) with clustering techniques. We focus on hyperparameter …

The convergence of Blockchain technology and Artificial Intelligence (AI) is exerting a
transformative influence, ushering in a new epoch of security and transparency within the …

This paper presents the utilization of the ESP32 microcontroller as a teaching tool for signal
acquisition, processing, and control theory in biotechnological engineering. The ESP32 …

Integrating imaging sensors and artificial intelligence (AI) have contributed to detecting plant
stress symptoms, yet data analysis remains a key challenge. Data challenges include …

Toxicology has undergone a transformation from an observational science to a data-rich
discipline ripe for artificial intelligence (AI) integration. The exponential growth in computing …

Recently, there has been a growing trend in incorporating Artificial Intelligence (AI) into
financial decision-making, prompting concerns about the transparency and accountability of …

The past years have been characterized by an upsurge in opaque automatic decision
support systems, such as Deep Neural Networks (DNNs). Although DNNs have great …