Results 131 to 140 of about 79,920 (249)

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

A Formation Inversion Algorithm Based on Collaborative Fuzzy Gradient Neural Dynamics for Natural Gamma Logging While Drilling

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

open access: yesHigh Voltage, EarlyView.
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)

open access: yesJURNAL MEDIA INFOTAMA, 2019
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

Update on Non‐Biological and RNA‐Based Therapeutics in Chronic Inflammatory Diseases: Precision Medicine Through Small Molecules: An EAACI Position Paper

open access: yesAllergy, EarlyView.
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

Multi‐Objective Optimization of a Hydro‐Economic Model in an Over‐Allocated Agricultural Basin

open access: yesGroundwater, EarlyView.
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

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

open access: yesFuel Cells, Volume 26, Issue 2, April 2026.
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

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 5, Page 4214-4240, 30 March 2026.
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

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