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Subjects / keywords: Geography. Anthropology. Recreation; Science: Geology; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: Technology: Technology (General): Industrial engineering. Management engineering: Information technology

Subjects / keywords: applied computing, geophysics, informatics, geosciences; Geography. Anthropology. Recreation; Science: Geology; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: internet and e-commerce architecture, e-business and e-government adoption, mobile commerce and their applications, applied telecommunication networks, applied wireless computing, applied data mining and warehousing; Tec...

Subjects / keywords: computational intelligence, soft computing, fuzzy systems, heuristics; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: applied informatics, applied computing, applied mathematics, applied network computing; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: applied science, information technology, computing, machine learning, artificial intelligence, interdisciplinary research; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Analog photonic computing comprises a promising candidate for accelerating the linear operations of deep neural networks (DNNs), since it provides ultrahigh bandwidth, low footprint and low power consumption computing ca...

Mapping input signals to a high-dimensional space is a critical concept in various neuromorphic computing paradigms, including models such as reservoir computing (RC) and extreme learning machines (ELM). We propose using...

Photonic reservoir computing has been demonstrated to be able to solve various complex problems. Although training a reservoir computing system is much simpler compared to other neural network approaches, it still requir...

Photonic reservoir computing has been intensively investigated to solve machine learning tasks effectively. A simple learning procedure of output weights is used for reservoir computing. However, the lack of training of ...

Abstract This work addresses the synthesis of a multi-band frequency selective surface (FSS) through bioinspired computing and a general regression neural network (GRNN). This hybrid computational method, which utilizes ...

This paper presents an innovative parallel computational methodology employing adaptive fractional differential operators to address Monkeypox epidemiological modeling challenges. The complex dynamics of such models ofte...

The integration of the Internet of Things (IoT) into healthcare would mean a revolutionized approach in patient monitoring, diagnosis, and treatment, making this quite some development in healthcare delivery. This review...

Abstract Achieving highly efficient extrication of the tunnel boring machine (TBM) cutter-head driving system from the collapsed surrounding rock has become a key problem globally, and significant effort has been directe...

The possibility of arbitrary spatial control of incident wavefronts with the subwavelength resolution has driven research into dielectric optical metasurfaces in the last decade. The unit-cell based metasurface design a...

This article presents a simple model that explains significant reduction of work function in MXenes Тіn+1Сn with hydroxyl termination and demonstrates matching results to ones in the existing literature, obtained via ...

Optical logic gates play important roles in all-optical logic circuits, which lie at the heart of the next-generation optical computing technology. However, the intrinsic contradiction between compactness and robustness ...