Results 61 to 70 of about 43,475 (165)
An Overview of Deep Learning Techniques for Big Data IoT Applications
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
Automobile Workshop Queue System Optimization Using Response Surface [PDF]
The automobile workshop queue system has been optimized using various approaches, such as queuing theory, simulation, and probability. The utilization of response surface methodology (RSM) for optimizing automobile workshop queue systems is not yet ...
Welly Sugianto +2 more
doaj
Optimization of client satisfaction and faster services are the main goals of any service-oriented government organization. However, the land transportation agency in Eastern Visayas Region of the Philippines experience challenges in the ...
Ines Gimota Falcon +2 more
doaj +1 more source
Defective and Clustered Choosability of Sparse Graphs
An (improper) graph colouring has "defect" $d$ if each monochromatic subgraph has maximum degree at most $d$, and has "clustering" $c$ if each monochromatic component has at most $c$ vertices.
Hendrey, Kevin, Wood, David R.
core +1 more source
Application of Embodied Intelligence in Intelligent Warehousing and Logistics Scenarios
Embodied intelligence (EI) enhances digital platform efficiency in intelligent logistics, reducing transportation costs, improving throughput by 37.5%, and lowering energy consumption. EI‐driven improvements lead to discriminatory pricing strategies, while lightweight encryption ensures minimal performance overhead, maintaining real‐time operations ...
Jun Zhang, Chuan Zhang, Mingtao Zhang
wiley +1 more source
This study innovatively incorporates facility service capacity, dynamic energy consumption constraints and multi‐objective Pareto frontiers into a unified optimization framework by constructing a three‐dimensional coupled decision space, and uses an improved column generation algorithm to break through the bottleneck of mixed integer programming ...
Guiquan Jiang
wiley +1 more source
Functionally gradient tissue scaffold design and deposition path planning for bio-additive processes [PDF]
A layer-based tissue scaffold is designed with heterogeneous internal architecture. The proposed layer-based design uses a bi-layer pattern of radial and spiral layer consecutively to generate functionally gradient porosity following the geometry of the ...
Khoda, AKM Bashirul +2 more
core
Adding Real-time Capabilities to a SML Compiler
There has been much recent interest in adopting functional and reactive programming for use in real-time system design. Moving toward a more declarative methodology for developing real-time systems purports to improve the fidelity of software.
Li, Muyuan +4 more
core +1 more source
Dynamic Resource Allocation for LEO Satellite Systems Under Heterogeneous Traffic Distributions
ABSTRACT This paper proposes an efficient resource allocation scheme for low Earth orbit (LEO) satellite systems. Taking into account the unique characteristics of LEO systems for 6G communication services, we introduce a dynamic bandwidth and power allocation scheme specifically designed to accommodate highly heterogeneous traffic distributions.
Jaeyoung Song +5 more
wiley +1 more source
FACT -- Operation of the First G-APD Cherenkov Telescope
Since more than two years, the First G-APD Cherenkov Telescope (FACT) is operating successfully at the Canary Island of La Palma. Apart from its purpose to serve as a monitoring facility for the brightest TeV blazars, it was built as a major step to ...
Biland, A. +36 more
core +1 more source

