Results 51 to 60 of about 3,956,038 (177)

Task grouping and optimized deep learning based VM sizing for hosting containers as a service

Journal of Cloud Computing: Advances, Systems and Applications, 2023
Containers as a service (CaaS) are a kind of services that permits the organization to handle the containers more effectively. Containers are lightweight, require less computing resources, portable, and facilitate better support for microservices. In the
Manoj Kumar Patra, Bibhudatta Sahoo, Ashok Kumar Turuk, Sanjay Misra   +3 more
doaj   +1 more source

Short‐term effects of wildlife rehabilitation disappear over time in the wild: A case study on Spanish imperial eagles

Conservation Science and Practice, Volume 8, Issue 5, May 2026.
We assessed the effectiveness of Wildlife Recovery Centers by comparing dispersal behavior of rehabilitated and wild Spanish imperial eagles using GPS tracking. Rehabilitated individuals initially moved shorter distances, rested more, and hunted less than wild controls, but these differences declined over time and ultimately disappeared.
Unai Ormazabal‐Santa Cruz, José M. Abad‐Gómez, Manuel Parejo, José M. Guzmán‐Bolaños, María Arredondo, María Jesús Palacios, Ángel Sánchez, Álvaro Guerrero, Cosme López‐Calderón   +8 more
wiley   +1 more source

Accurate, Efficient and Reliable Small-Signal Modeling Approaches for GaN HEMTs

IEEE Access, 2023
This article presents accurate, efficient and reliable small-signal model parameter extraction approaches applied to Gallium Nitride (GaN) High Electron Mobility Transistor (HEMT).
Saddam Husain, Anwar Jarndal, Mohammad Hashmi, Fadhel M. Ghannouchi   +3 more
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, Volume 14, Issue 4, Page 2318-2344, April 2026.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Quasi Opposition–Based Learning With Artificial Rabbit Optimization for Feature Selection of Breast Cancer

Engineering Reports, Volume 8, Issue 3, March 2026.
Workflow of proposed QOBL‐ARO with GS‐SVM method for BC using mammogram images. ABSTRACT Mammogram images are the most appropriate modality for breast cancer (BC) diagnosis which supports early diagnosis in women. However, the handcrafted features are insufficient for effective BC classification, which negatively impacts the model's accuracy and leads ...
Bassamma Patil, P. Vishwanath, S. M. Anowarul Haque   +2 more
wiley   +1 more source

Friction Shock Absorbers and Reverse Thrust for Fast Multirotor Landing on High‐Speed Vehicles

Journal of Field Robotics, Volume 43, Issue 2, Page 1068-1090, March 2026.
ABSTRACT Typical landing gears of small uninhabited aerial vehicles (UAV) limit their capability to land on vehicles moving at more than 20–50 km/h due to high drag forces, high pitch angles and potentially high relative horizontal velocities. To enable landing at higher speeds, a combination of lightweight friction shock absorbers and reverse thrust ...
Isaac Tunney, John Bass, Alexis Lussier Desbiens   +2 more
wiley   +1 more source

X‐ray computed tomography study of terrestrial analog cores in preparation for Mars sample return

Meteoritics &Planetary Science, Volume 61, Issue 3, Page 405-426, March 2026.
Abstract Mars Sample Return (MSR) is expected to transform planetary science by providing unprecedented access to pristine Martian material. Initial characterization in the sample receiving facility (SRF) will rely on nondestructive techniques such as X‐ray computed tomography (XCT) to document the condition, distribution, and internal features of ...
Sophie Benaroya, Christopher D. K. Herd, David T. Flannery, Nicolas Randazzo   +3 more
wiley   +1 more source

Optimal Scheduling of Multi-Energy Complementary Systems Based on an Improved Pelican Algorithm

Energies
In recent years, the global power industry has experienced rapid development, with significant advancements in the source, network, load sectors, and energy storage technologies.
Hongbo Zou, Jiehao Chen, Fushuan Wen, Yuhong Luo, Jinlong Yang, Changhua Yang   +5 more
doaj   +1 more source

A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]

, 2010
Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
Wang, H, Yang, S, Wang, Dingwei, Hongfeng Wang, Shengxiang Yang, W. H. Ip, Ip, W. H., Dingwei Wang, Yang, Shengxiang, Wang, Hongfeng, Ip, WH, Wang, D   +11 more
core   +1 more source

Dynamic load frequency regulation in two area power systems via pelican-optimized PID control [PDF]

Serbian Journal of Electrical Engineering
This article presents Pelican Optimization Algorithm (POA) for Load Frequency Control (LFC) in two area interconnected power systems. Extensive simulations in MATLindicate that the POA surpasses numerous established metaheuristic optimization ...
Pandey Manish Kumar, Mahia Ram Niwash
doaj   +1 more source