Results 131 to 140 of about 79,920 (249)
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim +4 more
wiley +1 more source
ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu +4 more
wiley +1 more source
Mesh‐Based Charge Simulation Method and Its Applications to Electrostatic Electric Field Computation
ABSTRACT The charge simulation method (CSM) is a well‐established numerical technique employed in electrostatic field calculations, primarily due to its simplicity and computational efficiency. However, conventional CSM face challenges when applied to complex geometries, as they necessitate meticulous manual placement of simulation charges and matching
Tahan Wang +5 more
wiley +1 more source
OPTIMALISASI PENJUALAN MOTOR MENGGUNAKAN ALGORITMA PARTICLE SWARM OPTIMIZATION (PSO)
Saat ini pengguna transportasi masih banyak sekali, kendaraan-kendaraan yang dibutuhkan guna untuk memenuhi kebutuhan sehari-hari tidak pernah kunjung habis, banyak perusahaan-perusahaan yang bersaing dalam bidang transportasi terutama pada bidang penjualan motor. Penelitian yang akan dilakukan adalah untuk mengetahui hasil peningkatan penjualan ...
openaire +2 more sources
ABSTRACT In the last decades, critical advancements in research technology and knowledge on disease mechanisms steered therapeutic approaches for chronic inflammatory diseases towards unprecedented target specificity. For allergic and chronic lung diseases, biologic drugs pioneered this goal, acquiring on the way—through the clinical use of monoclonal ...
F. Roth‐Walter +20 more
wiley +1 more source
Economic Load Dispatch - A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO [PDF]
Lee, KY, Vlachogiannis, Ioannis (John)
core +2 more sources
Multi‐Objective Optimization of a Hydro‐Economic Model in an Over‐Allocated Agricultural Basin
Abstract Groundwater depletion for agricultural irrigation poses significant environmental and economic challenges. This study introduces a proof‐of‐concept that combines hydro‐economic modeling, scenario‐based modeling, and multi‐objective optimization to manage pumping curtailment in an over‐allocated basin in the western United States.
Katherine H. Markovich +5 more
wiley +1 more source
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi +5 more
wiley +1 more source
On the Mean‐Field Limit of Consensus‐Based Methods
ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley +1 more source

