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Abstract The Internet of Things (IoT) and emerging technologies have converged to drive the remarkable development of intelligent systems. The interconnection of physical objects, sensors, and tiny communication devices ...

Abstract Considering crop yield prediction as critical to optimizing agricultural practices and food security, this question is critical to U.S. agricultural planning and regional food security; relevant research on corn...

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

Abstract IoT devices are increasingly battery-powered, making energy efficiency a primary design concern. This work investigates how Java’s concurrency model (traditional OS threads vs. Virtual Threads) and garbage col...

Abstract In the contemporary digital era, the storage of Electronic Health Records on open platforms presents significant security and privacy challenges. Addressing these concerns requires standardizing the clinical dep...

Teams of scientific specialists have replaced independent researchers, simultaneously the research team size has increased by 50% over the 19‑year period. Better collaborations between project team members might improv...

Uttarakhand, Himalaya's a state, is having serious environmental problems that are mainly due to urbanization, infrastructure development, and climate change. The systematic review gathers together geospatial studies in ...

Abstract The growing importance of machine learning in geological data computing, as well as in the broader geoscience and energy sectors, makes it essential to evaluate the impact of data augmentation on model performan...

To fulfil the goal, the methodological approach to the economic analysis of regions belonging of the river sub-basin – the Lower Dnipro sub-basin, was refined so as to base on computing the economic indicators reflecti...

Abstract The importance of fear level detection in affective computing using physiological signals has not been extensively explored. Accurately detecting fear responses facilitates real-time emotional monitoring and imp...

Abstract In three-dimensional applications of the Moving Particle Semi-Implicit (MPS) method, free-surface identification is commonly based on particle number density, which can lead to misclassification of surface parti...

Abstract Advances in AI have transformed the traditional Internet of Things (IoT) into smarter, more versatile next-generation devices. Enhanced connectivity among sensors, actuators, and appliances boosts data availabil...

Abstract In the world of the Internet of Things (IoT), wireless sensor networks (WSNs) play a vital role in enabling seamless communication between connected devices. In a WSN data prediction system based, clustering and...

Abstract Strong lighting from above is common in everyday environments and this statistical regularity has shaped the function of the human visual system. Here we investigate the influence of vertical asymmetries in illu...

Abstract Human hearing is most sensitive around 3 kHz, where small changes in harmonic structure and noise are particularly noticeable. However, traditional or standard acoustic measures of dysphonia—jitter, shimmer, ...

Abstract Multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) systems assisted by reconfigurable intelligent surfaces (RIS) have become a viable way to improve next-generation wireless networks. Howe...

Abstract Hot data identification plays a critical role in a wide range of computing systems, including memory hierarchy management, database optimization, and large-scale storage infrastructures. Its importance has furth...

Parallel computing on networks of workstations are intensively used in some application areas such as linear algebra operations. Topics such as processing as well as communication hardware heterogeneity are considered so...

Nowadays, the scientific applications are developed with more complexity and accuracy and these precisions need high computational resources to be executed. Also, the current trend in high performance computing (HPC) is ...

Scientific collaboration are becoming interdisciplinary, and scientists are working in informal collaboration to solve complex problems that require multiple types of large resources. An option is a computational grid. A...