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The deep learning revolution has increased the demand for computational resources, driving interest in efficient alternatives like all-optical diffractive neural networks (AODNNs). These systems operate at the speed of l...

Advanced integration of logistics systems has been promoted for competitiveness and sustainability. Interconnection of transport operations increases complexity at a network level, which reduces the predictability of the...

This paper presents the results of studies that made possible to propose a particular contribution to improve the quality on developing automotive embedded systems through a requirements specification template of a commu...

This paper develops the argument that information systems have not only existed for the last 50 years (as most accounts of ICT argue) or since the 1700 century (as some more accurate readings would propose), but they are...

A complex design of electromagnetic feeding network circuit components is needed for a wireless communication network system, and expensive materials, especially for electromagnetic components at a high frequency of 5.8 ...

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 Environment perception is one of the most critical technology of intelligent transportation systems (ITS). Motion interaction between multiple vehicles in ITS makes it important to perform multi-object tracking ...

Abstract Active power distribution networks are evolving with the integration of distributed energy resources (DERs) and advanced optimization techniques to enhance grid flexibility and efficiency. However, radial distri...

This research contributes to ongoing, multi-faceted, and much-needed discussions about food systems change amidst rising rates of food insecurity in Canada (and globally). It does so by providing a comparative content an...

Recommender systems have existed for decades, shaping how people consume digital content, receive information, and engage in day-to-day activities, among others. Undoubtably, recommender systems also play a crucial role ...

The widespread development of using networks and relying on it and the emergence of many challenges faced by so many institutes like ministry of defense, intelligence agencies , banks, universitie...etc which depend heav...

This study addresses the concepts of territorial systems of agricultural innovation and social network analysis. The general purpose of this research was analyzing a relationship between trust networks (technical, strate...

High accuracy positioning has become a key capability for fifth generation (5G) mobile networks and their future generations; however, the achievable performance is still severely limited by network time synchronization,...

The rapid proliferation of Learning Management Systems (LMS) in K–12 education has generated a substantial body of research, yet how its core themes emerge, converge, and transform over time remains insufficiently unde...

Airborne particulate matter 10 (PM10) induces lung inflammation. However, interventions remain limited. We evaluated the protective effects of Chrysanthemum zawadskii var. latilobum (CZL) against PM10-induced lung injury...

To address the challenges of voltage deviation and increased network losses arising from the high integration of photovoltaic (PV) systems in distribution networks, this paper proposes a bi-level optimisation model for c...

The data-driven Intelligent Transportation System (ITS) provides great support to travel decisions and system management but inevitably encounters the issue of data missing in monitoring systems. Hence, network-wide traf...

Insider threats pose a significant and growing risk to organizational cybersecurity, with recent studies indicating a 47% increase in insider incidents from 2018 to 2022. This paper presents a comparative analysis of uns...

The high security risks that are susceptible to hacking and exploitation by malicious actors to steal data or information often arise due to a lack of awareness regarding the critical importance of implementing deceptive...

The paper deals with modeling three-dimensional illumination distribution from light sourсes using artificial neural network (ANN). This problem is especially relevant in greenhouse irradiation systems due to the design...

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 ...

Heterogeneous wireless systems, such as a combination of mobile broadband wireless access (MBWA) and wireless local area network (WLAN), are candidates to achieve large capacity in next generation mobile communication sy...

Posttranslational regulation of protein function is an ubiquitous mechanism in eukaryotic cells. Here, we analyzed biological properties of nodes and edges of a human protein-protein interaction phosphorylation-based net...

Dairy farms increasingly deploy sensor networks that generate high-frequency behavioral and spatial data, yet translating these multimodal streams into actionable welfare insights remains a key challenge. This study pres...